{"meta":{"query_hash":"26d17a956a41","filters":{"venue":"JMIR Cancer"},"cohort_total":571,"direct_labels_cover":3,"predictions_cover":571,"exported":571,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/26d17a956a41","api":"https://metacan.xera.ac/api/v1/cohort?venue=JMIR+Cancer"},"results":[{"id":"W1698045390","doi":"10.2196/cancer.4787","title":"Response Across the Health-Literacy Spectrum of Kidney Transplant Recipients to a Sun-Protection Education Program Delivered on Tablet Computers: Randomized Controlled Trial","year":2015,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Nonmelanoma Skin Cancer Studies","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Kidney transplant; Randomized controlled trial; Medicine; Health literacy; Literacy; Renal transplant; Kidney transplantation; Kidney; Internal medicine; Psychology; Pedagogy; Health care; Political science","score_opus":0.0304175081884168,"score_gpt":0.38748582150183825,"score_spread":0.3570683133134214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1698045390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9020742,0.0008798947,0.00044159894,0.05576206,0.0038522931,0.036617607,0.00011319182,0.00008580161,0.00017334723],"genre_scores_gemma":[0.9619459,0.00014413586,0.00061198627,0.005434174,0.00085852906,0.029946296,0.000026804812,0.00003376932,0.0009984167],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.997153,0.00081664737,0.00074279116,0.0003638936,0.00054056686,0.00038312897],"domain_scores_gemma":[0.9981357,0.00036512263,0.00042559416,0.0003961201,0.00029033105,0.00038714893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002159041,0.00023981929,0.0013543445,0.00012624511,0.00013557506,0.000041263578,0.00013896395,0.00007411053,0.000036490026],"category_scores_gemma":[0.0006266718,0.00014750591,0.00027811975,0.00037141863,0.000119058255,0.00007562071,0.000030692325,0.00021794846,0.00001167453],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.93980014,0.00068285764,0.00021129545,0.00006001824,0.00031356228,0.000002549355,0.010240334,0.000023000195,0.00006045398,0.000012801991,0.017175123,0.031417865],"study_design_scores_gemma":[0.9459985,0.004869481,0.0024263987,0.0011531268,0.00011938962,0.000012250357,0.0002158193,0.00033008124,0.00034720197,0.000039736053,0.044325422,0.00016258993],"about_ca_topic_score_codex":0.0014725068,"about_ca_topic_score_gemma":0.00011634389,"teacher_disagreement_score":0.05987168,"about_ca_system_score_codex":0.0007969555,"about_ca_system_score_gemma":0.0018941548,"threshold_uncertainty_score":0.60151166},"labels":[],"label_agreement":null},{"id":"W1709121649","doi":"10.2196/cancer.4178","title":"Age-Related Use and Perceptions of eHealth in Men With Prostate Cancer: A Web-Based Survey","year":2015,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Inova Health System","keywords":"eHealth; Human immunodeficiency virus (HIV); Information and Communications Technology; Psychological intervention; Perception; Intervention (counseling); Medicine; Antiretroviral therapy; Prostate cancer; Health care; Nursing; Gerontology; Family medicine; Psychology; Cancer; Computer science; World Wide Web; Viral load","score_opus":0.03544935129877854,"score_gpt":0.3324321526181849,"score_spread":0.29698280131940635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1709121649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964288,0.00096184376,0.0000022725349,0.0009683318,0.00009391611,0.00076250616,0.00025158445,0.000034869274,0.0004959147],"genre_scores_gemma":[0.9972066,0.0005010019,0.000027790711,0.00032601555,0.000032097334,0.0004616215,0.00006222429,0.000027973745,0.0013546523],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893737,0.00010781579,0.00022827492,0.00024405144,0.0002531645,0.0002293396],"domain_scores_gemma":[0.99919325,0.000043739943,0.00009218781,0.00020898569,0.00024414356,0.00021769846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026769403,0.00013538236,0.00033259884,0.0001285364,0.000023037157,0.000014166408,0.000042076008,0.00007692346,0.0001248475],"category_scores_gemma":[0.000021336078,0.00010614408,0.000026824047,0.0004760375,0.0001362759,0.00009119701,0.000015230424,0.000190873,0.0000017894325],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016843136,0.00007568468,0.98760176,0.00016734713,0.00003116883,0.000020224154,0.0046927687,0.00012407787,0.00029158502,0.00000571168,0.0031069722,0.0021983618],"study_design_scores_gemma":[0.0049864044,0.00033172595,0.98923415,0.00045090905,0.00003854689,0.0000034541595,0.00078264344,0.000416044,0.00006255927,0.0000059082963,0.003552588,0.00013504934],"about_ca_topic_score_codex":0.11942479,"about_ca_topic_score_gemma":0.39125964,"teacher_disagreement_score":0.27183485,"about_ca_system_score_codex":0.00033897295,"about_ca_system_score_gemma":0.001305176,"threshold_uncertainty_score":0.886439},"labels":[],"label_agreement":null},{"id":"W1787440357","doi":"10.2196/cancer.4279","title":"The Impact of Advice Seekers’ Need Salience and Doctors’ Communication Style on Attitude and Decision Making: A Web-Based Mammography Consultation Role Play","year":2015,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"CLARITY; Seekers; Salience (neuroscience); Psychology; Mammography; Likert scale; Medical advice; Salient; Medical education; Advice (programming); Medicine; Family medicine; Social psychology; Applied psychology; Nursing; Breast cancer; Computer science; Developmental psychology","score_opus":0.0990453319144826,"score_gpt":0.45990537598508563,"score_spread":0.360860044070603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1787440357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906846,0.0052448967,0.000030015994,0.0014654743,0.00011517105,0.001557284,0.00007390174,0.00007597716,0.0007526682],"genre_scores_gemma":[0.99682325,0.00053744356,0.0011613328,0.0005184586,0.000023817509,0.000868652,0.000022436769,0.000020718828,0.000023909473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99784404,0.00076416985,0.0005408108,0.00022773373,0.00033786995,0.00028536055],"domain_scores_gemma":[0.9946491,0.0031128426,0.0005853758,0.00087318046,0.0006071917,0.00017232388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051621976,0.00016006739,0.0002145491,0.00014836468,0.00076902716,0.000025987174,0.00034443993,0.00014654336,0.00002578776],"category_scores_gemma":[0.00042159107,0.00011464213,0.00004475952,0.0004301616,0.00024769193,0.00016707348,0.00015757616,0.00043783046,0.000007456751],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018973544,0.00012008704,0.92923474,0.00016144641,0.000051813447,2.9630382e-7,0.03914885,0.00067387207,0.00040614282,0.0007520053,0.006057526,0.02149587],"study_design_scores_gemma":[0.0052489163,0.0005195465,0.9368136,0.0017525579,0.000028524506,9.723057e-7,0.023801617,0.019800521,0.00003404425,0.0013596452,0.010357293,0.00028278294],"about_ca_topic_score_codex":0.0028600313,"about_ca_topic_score_gemma":0.0021387641,"teacher_disagreement_score":0.021213086,"about_ca_system_score_codex":0.0003185291,"about_ca_system_score_gemma":0.0007160226,"threshold_uncertainty_score":0.59148127},"labels":[],"label_agreement":null},{"id":"W1845612406","doi":"10.2196/cancer.4389","title":"Efficacy of a Mobile-Enabled Web App (iCanFit) in Promoting Physical Activity Among Older Cancer Survivors: A Pilot Study","year":2015,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Usability; Quality of life (healthcare); Promotion (chess); Medicine; Psychology; Physical activity; Web application; Gerontology; Physical therapy; World Wide Web; Computer science; Nursing; Human–computer interaction","score_opus":0.042085133805704895,"score_gpt":0.35211180907087053,"score_spread":0.31002667526516564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1845612406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943271,0.00043394213,0.000002830502,0.00017348421,0.00045077622,0.0036557834,0.000035363068,0.00011476349,0.0008059246],"genre_scores_gemma":[0.9937754,0.000028355835,0.0000034050036,0.00006318265,0.0006290866,0.0047099325,0.0000048206425,0.00007120561,0.0007146048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99749,0.00020035771,0.00036778234,0.0006406226,0.0007598594,0.000541379],"domain_scores_gemma":[0.9984812,0.000111946625,0.00024569526,0.0005496097,0.00028851093,0.00032303814],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004367199,0.00034348678,0.0009153331,0.00019664872,0.000041713192,0.000025191011,0.00020089865,0.000082827486,0.00015911307],"category_scores_gemma":[0.000061724,0.0002946117,0.0001329738,0.0009834769,0.00013917575,0.0001952442,0.00012453677,0.0005150923,0.0000069155817],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027812752,0.008834131,0.9112474,0.00051327626,0.00022064919,0.00005943175,0.047556102,0.00015567784,0.005814423,0.0000036690046,0.0005061459,0.022307865],"study_design_scores_gemma":[0.012765103,0.0033825396,0.96949613,0.0010083255,0.00021805176,0.000003047026,0.005672456,0.0020433916,0.0036357534,0.000008491809,0.0012707008,0.0004959906],"about_ca_topic_score_codex":0.07619475,"about_ca_topic_score_gemma":0.17082126,"teacher_disagreement_score":0.09462652,"about_ca_system_score_codex":0.00067329506,"about_ca_system_score_gemma":0.0009629402,"threshold_uncertainty_score":0.9999506},"labels":[],"label_agreement":null},{"id":"W1863764441","doi":"10.2196/cancer.3883","title":"Blog Posting After Lung Cancer Notification: Content Analysis of Blogs Written by Patients or Their Families","year":2015,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Feeling; Content analysis; The Internet; Lung cancer; Medicine; Anxiety; Social media; Health care; Family medicine; Psychology; Internet privacy; World Wide Web; Social psychology; Computer science; Internal medicine; Psychiatry","score_opus":0.12644144598876583,"score_gpt":0.4724595931383242,"score_spread":0.34601814714955836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1863764441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930327,0.00087731145,0.00012368144,0.0011026835,0.000641192,0.0011947836,0.0015410658,0.000055353143,0.0014312235],"genre_scores_gemma":[0.9886072,0.00016988312,0.00011052773,0.0064908364,0.00012992918,0.0024402866,0.00025690108,0.000014550781,0.0017798665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997125,0.0002932659,0.0015502825,0.0002730568,0.00034440315,0.0004139863],"domain_scores_gemma":[0.9967489,0.00023951985,0.0008990704,0.00041426532,0.0014644605,0.00023378413],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00076915155,0.00017507374,0.00046978085,0.00020304999,0.00023819804,0.0000150944015,0.00021110347,0.00017626781,0.0022786106],"category_scores_gemma":[0.00019198644,0.000115849565,0.000098816185,0.00088780135,0.00006995829,0.0005732117,0.00008906324,0.00032749795,0.000021799742],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039243442,0.00008720135,0.96018267,0.0004888152,0.00017555628,1.1921294e-7,0.015374664,0.000023338625,0.000019254108,0.000011909746,0.01757351,0.0056705032],"study_design_scores_gemma":[0.0012482945,0.000044984437,0.921832,0.00030413104,0.00019158478,3.002275e-8,0.0047733258,0.006677948,0.00006228307,0.0000075343746,0.06465855,0.00019932073],"about_ca_topic_score_codex":0.0035553928,"about_ca_topic_score_gemma":0.0012501604,"teacher_disagreement_score":0.04708504,"about_ca_system_score_codex":0.0005053038,"about_ca_system_score_gemma":0.0006733391,"threshold_uncertainty_score":0.99863344},"labels":[],"label_agreement":null},{"id":"W1921070760","doi":"10.2196/cancer.4892","title":"Lifestyle Modification Experiences of African American Breast Cancer Survivors: A Needs Assessment","year":2015,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; National Center for Advancing Translational Sciences; National Cancer Institute","keywords":"Medicine; Psychological intervention; Gerontology; Breast cancer; Cancer prevention; Focus group; Population; Intervention (counseling); Overweight; Obesity; Cancer; Family medicine; Environmental health; Nursing; Internal medicine","score_opus":0.04213554450279473,"score_gpt":0.38429437327017274,"score_spread":0.342158828767378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1921070760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99488294,0.000535803,0.00010422734,0.0014534958,0.000410358,0.00043086492,0.0000964305,0.00006316739,0.0020227234],"genre_scores_gemma":[0.99686426,0.00035226392,0.00012438455,0.00023161198,0.00043149607,0.0013706126,0.000011980021,0.000026454636,0.0005869512],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986637,0.00003765984,0.00029331972,0.00025003613,0.00049214,0.00026312904],"domain_scores_gemma":[0.9988361,0.000021638325,0.00026125225,0.00032031196,0.00027254317,0.00028817786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013091556,0.0001683565,0.00039805358,0.000158666,0.000035841753,0.00001791692,0.00012531146,0.00004814818,0.00039627275],"category_scores_gemma":[0.000008434215,0.00013489803,0.000089117464,0.00074604497,0.00026087867,0.000115203045,0.000033247015,0.00013465957,0.000004149759],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000494412,0.00035939753,0.84669405,0.00008167806,0.000129882,0.0000037844306,0.062364016,0.0001476238,0.0021414661,0.000105263,0.0054308563,0.0820476],"study_design_scores_gemma":[0.0014671799,0.0004620502,0.8537885,0.00017606842,0.00011165362,0.00001665776,0.10477591,0.0008704164,0.0009081555,0.000015302945,0.037048124,0.0003599787],"about_ca_topic_score_codex":0.052351594,"about_ca_topic_score_gemma":0.0026837653,"teacher_disagreement_score":0.081687614,"about_ca_system_score_codex":0.00050612376,"about_ca_system_score_gemma":0.0008405981,"threshold_uncertainty_score":0.95395887},"labels":[],"label_agreement":null},{"id":"W1965057148","doi":"10.2196/cancer.3521","title":"Availability of Information About Lifestyle for Cancer Survivors in England: A Review of Statutory and Charitable Sector Organizations and Cancer Centers","year":2015,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Cancer Research UK","keywords":"Statutory law; Cancer; Medicine; Breast cancer; Colorectal cancer; Prostate cancer; Public relations; Family medicine; Gerontology; Business; Political science; Internal medicine; Law","score_opus":0.030096732012011726,"score_gpt":0.3505217076044632,"score_spread":0.3204249755924515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965057148","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014102409,0.9905741,0.0000087182325,0.00012195994,0.0005325904,0.0033002899,0.00393172,0.00001756844,0.00010281519],"genre_scores_gemma":[0.00017652677,0.995987,0.000023457738,0.0002676597,0.00016261067,0.0027088576,0.00037834665,0.000042544423,0.00025299666],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980432,0.00010477584,0.00096848374,0.00031331027,0.0003052348,0.00026502818],"domain_scores_gemma":[0.99780995,0.00011509603,0.0006821214,0.00031859058,0.00090617104,0.00016807976],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005574165,0.00032514436,0.0019095937,0.00022354879,0.000029258244,0.000012688617,0.000103656836,0.00022776642,0.0003424569],"category_scores_gemma":[0.00016631898,0.00026939283,0.00013274494,0.000724545,0.00012074998,0.00022409104,0.000064121414,0.0002467964,6.944872e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006708112,0.00004766821,0.014423815,0.45106578,0.00014727682,4.1394964e-7,0.0024532238,8.1105225e-7,0.0000011876425,0.000014904609,0.0016648972,0.5301129],"study_design_scores_gemma":[0.0008294966,0.00007028315,0.0011215664,0.091708146,0.0006018721,0.0000026583994,0.0000806756,0.000006239221,0.0000033863523,0.000002817027,0.90536135,0.00021151746],"about_ca_topic_score_codex":0.026942205,"about_ca_topic_score_gemma":0.051926445,"teacher_disagreement_score":0.9036964,"about_ca_system_score_codex":0.0005726986,"about_ca_system_score_gemma":0.0026447999,"threshold_uncertainty_score":0.9999758},"labels":[],"label_agreement":null},{"id":"W1970693454","doi":"10.2196/cancer.4204","title":"YouTube Videos Related to Skin Cancer: A Missed Opportunity for Cancer Prevention and Control","year":2015,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cancer; Cancer prevention; Medicine; Control (management); Computer science; Internal medicine; Artificial intelligence","score_opus":0.12928468418469727,"score_gpt":0.5174314774682032,"score_spread":0.3881467932835059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970693454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9526194,0.0016269345,0.002191431,0.026075125,0.0026158164,0.010244993,0.0013052825,0.00022281577,0.0030982348],"genre_scores_gemma":[0.9173892,0.0003814532,0.0005149239,0.04189816,0.00064594334,0.025663761,0.00009788607,0.000047026402,0.013361652],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972433,0.00038669174,0.0012221937,0.0003299061,0.00024874028,0.0005691894],"domain_scores_gemma":[0.9972182,0.00019866382,0.00054460356,0.00029666148,0.0008706095,0.00087125244],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017515568,0.00019193316,0.0003955688,0.00010724012,0.00048685554,0.000025057747,0.00015042892,0.00026404782,0.0015359741],"category_scores_gemma":[0.00043680603,0.00016058378,0.0000643312,0.00027489444,0.000036705434,0.0007596731,0.000052975807,0.000409081,0.000040520925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031194112,0.0002125169,0.2739608,0.0031546024,0.00015361386,0.000001159001,0.057228837,0.00021097214,0.00021383699,0.00073772896,0.3617487,0.2992578],"study_design_scores_gemma":[0.005875517,0.00016778153,0.06401859,0.0007421114,0.000039628045,4.1423655e-7,0.0019886286,0.0048900326,0.000058143116,0.00096177816,0.9209584,0.00029895702],"about_ca_topic_score_codex":0.004962421,"about_ca_topic_score_gemma":0.0027745462,"teacher_disagreement_score":0.5592097,"about_ca_system_score_codex":0.00077529025,"about_ca_system_score_gemma":0.0031893158,"threshold_uncertainty_score":0.9993768},"labels":[],"label_agreement":null},{"id":"W1999124821","doi":"10.2196/cancer.4019","title":"Evaluation of a Web-Based App Demonstrating an Exclusionary Algorithmic Approach to TNM Cancer Staging","year":2015,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Usability; Stage (stratigraphy); Web application; Machine learning; World Wide Web; Human–computer interaction","score_opus":0.15749964234235825,"score_gpt":0.4269216643384218,"score_spread":0.2694220219960636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999124821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815502,0.00046771008,0.0015492154,0.0005068056,0.00017218592,0.0010191483,0.000017865746,0.00009225789,0.014624568],"genre_scores_gemma":[0.9951705,0.00000208034,0.0033088177,0.000571977,0.00027785197,0.00053074124,0.000028246603,0.000020956575,0.00008886619],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981905,0.00011738246,0.00025426896,0.00025900174,0.0009906635,0.00018813694],"domain_scores_gemma":[0.9988377,0.000039083872,0.00009454203,0.00017166657,0.0005814869,0.00027551907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010481662,0.00011643607,0.00021881757,0.00011402581,0.00005215852,0.000010646156,0.000058664747,0.00006493306,0.00034177222],"category_scores_gemma":[0.000083055806,0.000099914985,0.000050163504,0.0003482237,0.00003279548,0.00009215802,0.000020676278,0.00012208412,0.0000041392045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004847931,0.00041912965,0.045683958,0.000098969715,0.00007811665,0.000004749967,0.0028857526,0.16496454,0.002216179,0.0000612243,0.00042063487,0.78268194],"study_design_scores_gemma":[0.006963494,0.0001182694,0.029060412,0.00021519886,0.00013500574,0.0000019712659,0.0009511204,0.95845747,0.00055261044,0.000043891414,0.0033461605,0.00015441765],"about_ca_topic_score_codex":0.0002529076,"about_ca_topic_score_gemma":0.000044319153,"teacher_disagreement_score":0.7934929,"about_ca_system_score_codex":0.00032718017,"about_ca_system_score_gemma":0.0012416955,"threshold_uncertainty_score":0.40744147},"labels":[],"label_agreement":null},{"id":"W2049693438","doi":"10.2196/cancer.3887","title":"Defining the Role of the Online Therapeutic Facilitator: Principles and Guidelines Developed for Couplelinks, an Online Support Program for Couples Affected by Breast Cancer","year":2015,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Calgary; Health Sciences Centre; Queen Elizabeth II Health Sciences Centre; York University; Sunnybrook Health Science Centre","funders":"Canadian Breast Cancer Research Alliance","keywords":"Facilitator; Psychological intervention; Context (archaeology); Psychosocial; Intervention (counseling); The Internet; Psychology; Psychotherapist; Facilitation; Relevance (law); Asynchronous communication; Online discussion; Medical education; Medicine; Computer science; Social psychology; World Wide Web; Psychiatry","score_opus":0.13111613620066498,"score_gpt":0.46744280015728473,"score_spread":0.33632666395661975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049693438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92614484,0.020594701,0.00020839424,0.008163588,0.0011691649,0.0065614446,0.036909904,0.0001471234,0.000100832265],"genre_scores_gemma":[0.98176104,0.000091581845,0.002542865,0.0013663373,0.00024862634,0.0107202185,0.0008646816,0.000081730046,0.0023229115],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983481,0.00006344294,0.00062804896,0.00035130422,0.00020850232,0.00040059854],"domain_scores_gemma":[0.998462,0.00013673886,0.00031283053,0.00034893968,0.00060120405,0.00013828729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035480107,0.00021968277,0.0002838793,0.000035242956,0.00014095835,0.00003680367,0.00033635338,0.000113663344,0.00006331901],"category_scores_gemma":[0.000047645266,0.00013350477,0.00011571274,0.00016915609,0.00020628986,0.000112769216,0.000074456184,0.00012449214,0.0000018530324],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001008334,0.0024042788,0.033125825,0.00034583465,0.00037884817,2.8325888e-7,0.0019970092,0.000111169815,0.0002045233,0.004951978,0.024339607,0.9311323],"study_design_scores_gemma":[0.003745447,0.0016409714,0.09274444,0.00044940275,0.00017114585,0.000022947333,0.004564614,0.008379265,0.0003947904,0.0012082531,0.8862404,0.00043827397],"about_ca_topic_score_codex":0.0012686407,"about_ca_topic_score_gemma":0.009376644,"teacher_disagreement_score":0.93069404,"about_ca_system_score_codex":0.0001324107,"about_ca_system_score_gemma":0.00041347128,"threshold_uncertainty_score":0.54441667},"labels":[],"label_agreement":null},{"id":"W2185273812","doi":"10.2196/cancer.4586","title":"Feasibility and Preliminary Efficacy of an Online Intervention to Increase Physical Activity in Nova Scotian Cancer Survivors: A Randomized Controlled Trial","year":2015,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of Alberta","funders":"Canada Research Chairs","keywords":"Nova (rocket); Randomized controlled trial; Intervention (counseling); Medicine; Physical therapy; Internal medicine; Engineering; Aeronautics; Nursing","score_opus":0.06554344065934145,"score_gpt":0.39843426583567526,"score_spread":0.33289082517633384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185273812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897317,0.00075372506,0.000024634448,0.00058047555,0.000835454,0.007833262,0.0001037493,0.00003637796,0.00010056689],"genre_scores_gemma":[0.9972693,0.000032507978,0.000024319033,0.000117816126,0.00064411265,0.0016509433,0.000026634016,0.000025583573,0.00020880358],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.997722,0.00068788964,0.0004743521,0.0004618512,0.0004079941,0.00024589503],"domain_scores_gemma":[0.9984513,0.00032415765,0.00023237364,0.00036510648,0.00025248024,0.00037460725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011495262,0.00024062213,0.0017738416,0.00017679721,0.000017638056,0.000016355023,0.00009522538,0.00011033897,0.00009398701],"category_scores_gemma":[0.0005967646,0.00018488886,0.0003578241,0.00034161404,0.00014268057,0.00015926898,0.000074584896,0.000251089,0.0000011696551],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.95689654,0.0038654848,0.0057126475,0.00018313726,0.00012676146,0.0000093006065,0.0030483205,0.000036688456,0.00038715574,0.0000052127366,0.0000664496,0.029662285],"study_design_scores_gemma":[0.93200606,0.0016113804,0.06273436,0.0005022272,0.0003011415,0.000002063438,0.00043456978,0.0017125111,0.00040498827,0.000027384225,0.000074305826,0.00018901176],"about_ca_topic_score_codex":0.13365397,"about_ca_topic_score_gemma":0.2181185,"teacher_disagreement_score":0.084464535,"about_ca_system_score_codex":0.00039359866,"about_ca_system_score_gemma":0.00041188052,"threshold_uncertainty_score":0.8721151},"labels":[],"label_agreement":null},{"id":"W2216150311","doi":"10.2196/cancer.4631","title":"Needs and Preferences of Partners of Cancer Patients Regarding a Web-Based Psychological Intervention: A Qualitative Study","year":2015,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intervention (counseling); Acknowledgement; Psychological intervention; Psychology; Qualitative research; Medicine; Psychiatry; Computer science","score_opus":0.11584172622881968,"score_gpt":0.4773077789559363,"score_spread":0.3614660527271166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2216150311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965166,0.0011816861,0.000006788575,0.0001730466,0.0003001144,0.0005915078,0.000055043143,0.000017882401,0.0011573356],"genre_scores_gemma":[0.9990529,0.000034199766,0.0000189504,0.00008387408,0.000053810527,0.0005201485,0.0000073235633,0.00000945684,0.00021937229],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998853,0.00015961725,0.00031470167,0.00019742224,0.0003489255,0.0001262915],"domain_scores_gemma":[0.99911153,0.000046418165,0.00020166885,0.00014925638,0.00037845704,0.00011268898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002680607,0.00011606355,0.00036440484,0.000114496965,0.000014985431,0.0000060123675,0.00006509731,0.000058766178,0.00015714171],"category_scores_gemma":[0.000042088886,0.00008608852,0.000083822015,0.00031015466,0.00012641092,0.000051623996,0.000029789166,0.00010286006,5.69762e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021757942,0.0011568472,0.88887835,0.00031792087,0.00018360814,0.000001931947,0.08812298,0.0000075579323,0.00011012058,0.000026484338,0.0022078555,0.016810568],"study_design_scores_gemma":[0.030842312,0.012596668,0.5991195,0.0024336707,0.00056750927,0.00000112336,0.34430182,0.000105342966,0.0017746689,0.0002592583,0.0074983854,0.00049971725],"about_ca_topic_score_codex":0.0025138163,"about_ca_topic_score_gemma":0.0049525336,"teacher_disagreement_score":0.28975883,"about_ca_system_score_codex":0.00008435956,"about_ca_system_score_gemma":0.00011395337,"threshold_uncertainty_score":0.38001552},"labels":[],"label_agreement":null},{"id":"W2224085795","doi":"10.2196/cancer.3905","title":"Effect of Web-Based Versus Paper-Based Questionnaires and Follow-Up Strategies on Participation Rates of Dutch Childhood Cancer Survivors: A Randomized Controlled Trial","year":2015,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Radboud Universitair Medisch Centrum; Universitair Medisch Centrum Groningen; Leids Universitair Medisch Centrum; Radboud Universiteit; Vrije Universiteit Amsterdam; Universiteit van Amsterdam; Universiteit Leiden","keywords":"Medicine; Randomized controlled trial; Telephone interview; Family medicine; Physical therapy; Selection bias; Surgery","score_opus":0.11508057478203126,"score_gpt":0.47376203170150216,"score_spread":0.3586814569194709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2224085795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925062,0.0011292015,0.00003690888,0.0005660237,0.0021568378,0.0031179849,0.000024309104,0.000041462798,0.00042109145],"genre_scores_gemma":[0.99604106,0.00010356836,0.000035222063,0.00005816615,0.0002049029,0.0034592336,0.000005405121,0.000011991628,0.000080478174],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.97103184,0.027605325,0.00047229204,0.00023419852,0.0004173801,0.00023893484],"domain_scores_gemma":[0.96367794,0.035387367,0.00042048426,0.00014682327,0.00025632145,0.000111088906],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.024457572,0.00018584006,0.0011720508,0.00012443618,0.00012760225,0.000028334338,0.00011471316,0.00019346229,0.00017235096],"category_scores_gemma":[0.020942144,0.00013225162,0.00024302759,0.00026142024,0.0006174369,0.00014171873,0.000008531852,0.00011621908,0.0000012226361],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9911561,0.00013103163,0.0029657986,0.00003260361,0.00017516722,8.1270184e-7,0.0028654025,0.0006410506,0.0002540276,0.00029566887,0.00008882649,0.0013935309],"study_design_scores_gemma":[0.985681,0.001650063,0.006519854,0.00015136339,0.00028033942,1.6764416e-8,0.00043017924,0.0003751052,0.004490797,0.00012382095,0.00014092619,0.00015653693],"about_ca_topic_score_codex":0.014989975,"about_ca_topic_score_gemma":0.035035554,"teacher_disagreement_score":0.020045578,"about_ca_system_score_codex":0.00008300036,"about_ca_system_score_gemma":0.0019616357,"threshold_uncertainty_score":0.9915693},"labels":[],"label_agreement":null},{"id":"W2280669783","doi":"10.2196/cancer.5247","title":"Interest in Health Behavior Intervention Delivery Modalities Among Cancer Survivors: A Cross-Sectional Study","year":2016,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health; Center for Energy Balance in Cancer Prevention and Survivorship; University of Texas MD Anderson Cancer Center; Duncan Family Institute for Cancer Prevention and Risk Assessment","keywords":"Psychological intervention; Demographics; Intervention (counseling); Medicine; Population; Cross-sectional study; Modalities; Gerontology; Behavior change; Environmental health; Demography; Nursing","score_opus":0.07299962200861002,"score_gpt":0.39844737635088134,"score_spread":0.32544775434227136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280669783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953157,0.0012375171,0.000020832893,0.00043723724,0.0014023869,0.0012030592,0.00017906222,0.00008200065,0.00012222784],"genre_scores_gemma":[0.98996794,0.00023027902,0.0000033603842,0.0002250599,0.00046980928,0.0036212192,0.000013673792,0.000039181406,0.0054294835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981132,0.00013234613,0.0005923881,0.0004665519,0.00031258573,0.00038288662],"domain_scores_gemma":[0.9991501,0.000045194553,0.00018127289,0.00027505375,0.00018774597,0.0001606552],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038672079,0.00021210262,0.000359618,0.00022078828,0.00007228725,0.000050314273,0.00012442376,0.000105406325,0.0014056639],"category_scores_gemma":[0.000012570892,0.00015859997,0.00017656805,0.00024655415,0.0001293298,0.00027272964,0.000077341734,0.00022815238,0.000009264237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000435921,0.00054161606,0.97516346,0.00018123272,0.000055310444,0.000022387178,0.0021620214,0.0000035402263,0.00019098629,0.000037371436,0.00019144671,0.021014709],"study_design_scores_gemma":[0.002519184,0.0004197164,0.99204147,0.000867162,0.000020359113,0.0000045812035,0.0015918001,0.000007539796,0.00015704815,0.000017857157,0.002168876,0.00018441821],"about_ca_topic_score_codex":0.25943738,"about_ca_topic_score_gemma":0.76872337,"teacher_disagreement_score":0.509286,"about_ca_system_score_codex":0.0014088165,"about_ca_system_score_gemma":0.00027817948,"threshold_uncertainty_score":0.9995072},"labels":[],"label_agreement":null},{"id":"W2338601989","doi":"10.2196/cancer.5108","title":"Predictors of Online Cancer Prevention Information Seeking Among Patients and Caregivers Across the Digital Divide: A Cross-Sectional, Correlational Study","year":2016,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health","keywords":"eHealth; Digital divide; Health Information National Trends Survey; The Internet; Logistic regression; Ethnic group; Information seeking; Public health; Preference; Social media; Psychology; Cancer prevention; Cross-sectional study; Medicine; Gerontology; Health information; Cancer; Nursing; Health care; Political science; Computer science","score_opus":0.03716662095896213,"score_gpt":0.44878915806045716,"score_spread":0.41162253710149505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338601989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944325,0.00002722671,0.0003514361,0.0001743169,0.0010124833,0.001847706,0.001874266,0.00003850131,0.00024156414],"genre_scores_gemma":[0.9979434,0.000033194658,0.0000048298766,0.00023509683,0.0001783274,0.0007324276,0.00013549771,0.000007005088,0.00073019863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99785507,0.00014249078,0.0011413957,0.00015061656,0.00044467804,0.00026572496],"domain_scores_gemma":[0.99781436,0.00027884395,0.0009593156,0.00017042496,0.00069159287,0.00008549433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057541445,0.00011919583,0.00015278097,0.00005884137,0.0007299904,0.000053433698,0.00013043456,0.00011916167,0.00038550032],"category_scores_gemma":[0.00023850324,0.000068368296,0.00004517583,0.00018806885,0.00015152644,0.004074691,0.00013216777,0.00024546636,0.000011595801],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011562475,0.00006383627,0.9668955,0.00013501495,0.000028340435,1.8679415e-8,0.014086593,0.000032171087,6.9865496e-7,0.000014770886,0.00070239836,0.01792501],"study_design_scores_gemma":[0.0018586676,0.00006954668,0.98536503,0.00020261547,0.000006694492,6.0097946e-8,0.0017489876,0.0002745437,8.549032e-7,0.000028091823,0.01036469,0.000080231854],"about_ca_topic_score_codex":0.0007201687,"about_ca_topic_score_gemma":0.00070265424,"teacher_disagreement_score":0.01846949,"about_ca_system_score_codex":0.00036294642,"about_ca_system_score_gemma":0.00034736516,"threshold_uncertainty_score":0.56145704},"labels":[],"label_agreement":null},{"id":"W2346048685","doi":"10.2196/cancer.5212","title":"“Googling” for Cancer: An Infodemiological Assessment of Online Search Interests in Australia, Canada, New Zealand, the United Kingdom, and the United States","year":2016,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cancer; Geography; Breast cancer; Demography; Medicine; Cancer registry","score_opus":0.10160494661210312,"score_gpt":0.4403358437134793,"score_spread":0.33873089710137616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346048685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806149,0.000120027966,0.000058953887,0.01631829,0.00009415273,0.0010125622,0.0017578233,0.000018637846,0.0000046229857],"genre_scores_gemma":[0.9955291,0.00049673155,0.00011314484,0.0018558586,0.00017298081,0.00025304672,0.0005615608,0.000017875192,0.0009996565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998506,0.00023263553,0.0003812588,0.00026425032,0.00026976602,0.00034609478],"domain_scores_gemma":[0.9983753,0.00070921006,0.00012775508,0.00038102243,0.00021232502,0.00019437069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048249884,0.0001662192,0.0003972426,0.000111692585,0.000046490673,0.0000126893165,0.00024882136,0.000066303764,0.00018777116],"category_scores_gemma":[0.00016638706,0.00007257679,0.000043847922,0.0003762507,0.0003192885,0.000052598607,0.000086937325,0.00022713265,3.2317408e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025368915,0.00013331181,0.95898825,0.00013008802,0.00018435459,0.000013199914,0.0005197787,0.0015226654,0.00043520762,0.00060712546,0.026314253,0.008614883],"study_design_scores_gemma":[0.006589315,0.00019445606,0.8740976,0.00038828014,0.000050592836,0.0000029453508,0.00017788728,0.0066914763,0.00007350503,0.0001639941,0.11142931,0.00014067719],"about_ca_topic_score_codex":0.89063096,"about_ca_topic_score_gemma":0.90806407,"teacher_disagreement_score":0.08511506,"about_ca_system_score_codex":0.0003574132,"about_ca_system_score_gemma":0.0011790667,"threshold_uncertainty_score":0.29595956},"labels":[],"label_agreement":null},{"id":"W2346464069","doi":"10.2196/cancer.5305","title":"Pilot and Feasibility Test of a Mobile Health-Supported Behavioral Counseling Intervention for Weight Management Among Breast Cancer Survivors","year":2016,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Psychological intervention; mHealth; Intervention (counseling); Medicine; Weight management; Breast cancer; Cancer; Physical therapy; Health intervention; Test (biology); Weight loss; Nursing; Obesity","score_opus":0.034381441215776444,"score_gpt":0.3658710615074217,"score_spread":0.33148962029164525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346464069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99192935,0.0021057471,0.00034183887,0.00071265997,0.000642091,0.0030234435,0.0011229774,0.000058186622,0.00006372522],"genre_scores_gemma":[0.99231166,0.0012269978,0.000039310296,0.000142029,0.00016998035,0.004491074,0.000027940076,0.000035413937,0.0015555741],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850917,0.00003580989,0.00045693386,0.00041750816,0.00026158796,0.00031899536],"domain_scores_gemma":[0.99898535,0.000055145763,0.00024651887,0.0002918803,0.00024526013,0.0001758336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032691372,0.00018587401,0.00040620138,0.00009450242,0.00006365133,0.000011824632,0.00007547683,0.000051540323,0.00059522636],"category_scores_gemma":[0.0000050054477,0.00013662399,0.00014337826,0.00016664452,0.00013364256,0.000118975455,0.00003908261,0.00007978937,0.0000010949408],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009454081,0.00064376596,0.8021646,0.0016096759,0.00008713123,0.000004005579,0.00077208475,7.6707306e-7,0.001472584,0.000018484758,0.0014236205,0.19085786],"study_design_scores_gemma":[0.007028945,0.002366843,0.9732485,0.0032694284,0.00028037946,0.000012994734,0.0012731892,0.00005180846,0.0013881453,0.0000555893,0.010684465,0.0003397187],"about_ca_topic_score_codex":0.023493076,"about_ca_topic_score_gemma":0.09791951,"teacher_disagreement_score":0.19051814,"about_ca_system_score_codex":0.00046521216,"about_ca_system_score_gemma":0.00012516914,"threshold_uncertainty_score":0.9830096},"labels":[],"label_agreement":null},{"id":"W2399104839","doi":"10.2196/cancer.5431","title":"The Effects of Physical Activity on Health and Quality of Life in Adolescent Cancer Survivors: A Systematic Review","year":2016,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Quality of life (healthcare); Medicine; Cancer; Physical activity; Gerontology; Clinical trial; Clinical psychology; Physical therapy; Internal medicine","score_opus":0.08845270770397373,"score_gpt":0.46117002593303347,"score_spread":0.37271731822905974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2399104839","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010475228,0.9856065,0.000002147562,0.001949484,0.0003386921,0.0108195,0.00018542232,0.000023938524,0.000026807336],"genre_scores_gemma":[0.0010215347,0.9934407,0.0000014284697,0.0012882949,0.00034056974,0.003723981,0.0000058658943,0.000071383845,0.000106253014],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99294835,0.0030046655,0.0019142266,0.00063764927,0.0010403339,0.00045475175],"domain_scores_gemma":[0.9914384,0.0036948477,0.0031666458,0.001198384,0.00014819075,0.0003535437],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021879526,0.0006087673,0.008574812,0.0001348471,0.000055346318,0.000009551629,0.00031607033,0.00019293773,0.0000092384225],"category_scores_gemma":[0.0019638955,0.0003240029,0.0008112596,0.0004887754,0.00024188227,0.000050485534,0.000118425945,0.0006617146,0.0000048397037],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010529201,0.00038477068,0.00010739269,0.831125,0.00034884393,8.625639e-7,0.0003062917,2.5501336e-8,8.723869e-7,0.00007575535,0.00062043354,0.16692445],"study_design_scores_gemma":[0.0008325034,0.00033069175,0.0007113399,0.9567998,0.00058222655,0.0000013219674,0.000021104535,5.5136803e-7,0.0000041505987,0.0000045670877,0.040436704,0.00027503437],"about_ca_topic_score_codex":0.0071326527,"about_ca_topic_score_gemma":0.0049531283,"teacher_disagreement_score":0.16664942,"about_ca_system_score_codex":0.0008200202,"about_ca_system_score_gemma":0.0027345805,"threshold_uncertainty_score":0.9999212},"labels":[],"label_agreement":null},{"id":"W2409089748","doi":"10.2196/cancer.5456","title":"eHealth for Breast Cancer Survivors: Use, Feasibility and Impact of an Interactive Portal","year":2016,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"KWF Kankerbestrijding","keywords":"eHealth; Breast cancer; Patient portal; Medicine; Cancer; Computer science; Internal medicine; Health care; Political science","score_opus":0.039845169725742716,"score_gpt":0.39801275654110346,"score_spread":0.35816758681536076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2409089748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933262,0.0005336064,0.00005513359,0.00070323417,0.00037422503,0.0009524258,0.0039137877,0.000034881825,0.00010650077],"genre_scores_gemma":[0.99818975,0.00035230324,0.000024436004,0.00019224694,0.00037657545,0.00038713825,0.000016281045,0.000033091805,0.00042820393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988349,0.000044537486,0.00025625416,0.00038320135,0.00018537787,0.000295715],"domain_scores_gemma":[0.99874973,0.00011961736,0.00016563847,0.00032226366,0.00037064735,0.00027207902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014990162,0.0001837879,0.00040487995,0.000073691255,0.00003799422,0.000014153111,0.000062751926,0.000093477785,0.0008668648],"category_scores_gemma":[0.000027264907,0.000112947186,0.00016997177,0.00013267052,0.00011654966,0.00036876602,0.000026219372,0.00009583932,7.5881223e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004060096,0.00016524873,0.8832366,0.0002506987,0.0001554522,0.0000036308757,0.0011470503,0.000001098365,0.0030494162,0.00002611677,0.0007992716,0.10710534],"study_design_scores_gemma":[0.0020387238,0.0005842765,0.994437,0.00039223832,0.0000651403,0.000028420152,0.00027286823,0.000025433576,0.0007280028,0.000059265043,0.0012088454,0.00015982319],"about_ca_topic_score_codex":0.062237576,"about_ca_topic_score_gemma":0.14585671,"teacher_disagreement_score":0.11120038,"about_ca_system_score_codex":0.0005385967,"about_ca_system_score_gemma":0.000616883,"threshold_uncertainty_score":0.94915617},"labels":[],"label_agreement":null},{"id":"W2412012562","doi":"10.2196/cancer.5380","title":"Assessment of Cancer Survivors’ Experiences of Using a Publicly Available Physical Activity Mobile Application","year":2016,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council; Cancer Research UK","keywords":"Psychosocial; Psychological intervention; Anxiety; Thematic analysis; Medicine; Quality of life (healthcare); Population; Cancer survivor; Cancer; Gerontology; Depression (economics); Physical therapy; Intervention (counseling); Psychology; Clinical psychology; Qualitative research; Psychiatry; Internal medicine; Environmental health; Nursing","score_opus":0.033730152642068946,"score_gpt":0.3895371482391101,"score_spread":0.35580699559704115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2412012562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99663323,0.0004609902,0.00058449066,0.00010795142,0.00037486973,0.0006054265,0.000058892747,0.00002700509,0.00114717],"genre_scores_gemma":[0.9959785,0.000159667,0.000043485838,0.000032187414,0.00024818952,0.002482839,0.000001890571,0.000019130377,0.001034125],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988463,0.000036039153,0.00018129688,0.00032033853,0.00040729254,0.00020873598],"domain_scores_gemma":[0.998999,0.00005310759,0.00023424745,0.00037100483,0.00025487746,0.00008774705],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000112024594,0.00013403784,0.0003811527,0.00007111967,0.000032533426,0.0000067833216,0.000108245644,0.000065666165,0.001166772],"category_scores_gemma":[0.0000062871077,0.00009112903,0.000118088145,0.00034104512,0.00015564423,0.00017892821,0.00004583537,0.000075453856,0.0000026531372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019812302,0.0006021317,0.3558127,0.00039904675,0.00010987161,8.8286293e-7,0.0068043317,0.000026559344,0.5419276,0.00013388667,0.00050399586,0.09348091],"study_design_scores_gemma":[0.0028410116,0.0006104181,0.31155983,0.001047839,0.00026092137,0.000003826518,0.008818678,0.004383216,0.6358826,0.00004781823,0.033907775,0.0006360578],"about_ca_topic_score_codex":0.031255573,"about_ca_topic_score_gemma":0.0068508033,"teacher_disagreement_score":0.09395503,"about_ca_system_score_codex":0.00028919717,"about_ca_system_score_gemma":0.0005300013,"threshold_uncertainty_score":0.9997463},"labels":[],"label_agreement":null},{"id":"W2419063376","doi":"10.2196/cancer.5334","title":"Patients’ and Health Care Providers’ Opinions on a Supportive Health App During Breast Cancer Treatment: A Qualitative Evaluation","year":2016,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Breast cancer; Medicine; Family medicine; Health care; Cancer; Clinical Practice; Qualitative research; Nursing; Internal medicine","score_opus":0.09969296617666633,"score_gpt":0.5370914081649092,"score_spread":0.43739844198824285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2419063376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55198956,0.008587889,0.00011294807,0.3623837,0.0017771606,0.056349203,0.016856141,0.0005326194,0.0014107529],"genre_scores_gemma":[0.83609396,0.0056084082,0.00006814895,0.008766542,0.00055056147,0.14751123,0.00035030002,0.00007207726,0.000978767],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99526155,0.001200568,0.001023114,0.0008096521,0.0005064712,0.0011986292],"domain_scores_gemma":[0.996714,0.00032639186,0.0009912458,0.00042231136,0.0006116014,0.00093443407],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007458657,0.00034269108,0.0005625402,0.00020276752,0.001866017,0.000010291008,0.00010863736,0.00016361952,0.0007612273],"category_scores_gemma":[0.00004399484,0.00023547998,0.0000733008,0.00030884612,0.00010196257,0.00020113676,0.000049391427,0.00029504512,0.000091876784],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0006936017,0.00044667654,0.09170212,0.002217074,0.00009290634,3.6188624e-7,0.1657745,0.000004607523,0.000010883535,0.0021011813,0.042693797,0.6942623],"study_design_scores_gemma":[0.0111562535,0.0011136264,0.85758436,0.0019990427,0.00003307846,0.0000011352934,0.0227457,0.000016492095,0.000010581629,0.00021499643,0.104737036,0.00038770083],"about_ca_topic_score_codex":0.013586823,"about_ca_topic_score_gemma":0.014150145,"teacher_disagreement_score":0.76588225,"about_ca_system_score_codex":0.0076614176,"about_ca_system_score_gemma":0.008511447,"threshold_uncertainty_score":0.9994334},"labels":[],"label_agreement":null},{"id":"W2477263921","doi":"10.2196/cancer.5578","title":"Online Versus Telephone Methods to Recruit and Interview Older Gay and Bisexual Men Treated for Prostate Cancer: Findings from the Restore Study","year":2016,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; American Cancer Society","keywords":"Prostate cancer; Telephone interview; National Health Interview Survey; Psychology; Population; Gerontology; Observational study; Medicine; Clinical psychology; Family medicine; Cancer; Sociology","score_opus":0.44657585876391237,"score_gpt":0.5718471059090503,"score_spread":0.12527124714513793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2477263921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834461,0.002550293,0.00017265178,0.010820313,0.00056069717,0.0019679945,0.00040623356,0.000039232928,0.000036454137],"genre_scores_gemma":[0.9455294,0.007839511,0.013121596,0.0021672451,0.0015208723,0.008655194,0.000022093964,0.000100993806,0.021043064],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9928306,0.00613213,0.00019018874,0.00040847354,0.00013764278,0.00030096906],"domain_scores_gemma":[0.9886799,0.010833906,0.000075069285,0.00018424561,0.0000979595,0.0001289525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008447937,0.00014718238,0.00027924564,0.000048649843,0.0003690244,0.000037394107,0.00019274661,0.00010254716,0.00024926141],"category_scores_gemma":[0.0023107806,0.00008333783,0.0000318221,0.00025673586,0.00025172153,0.0001022361,0.00008865484,0.0000935706,0.0000019495094],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013438322,0.00013390009,0.15255617,0.000011727202,0.0002450686,0.0000036140184,0.091792725,2.4877585e-7,0.0030863406,0.00001528143,0.01204233,0.72667426],"study_design_scores_gemma":[0.0030558044,0.00045039062,0.8286872,0.000117138996,0.00009081605,2.0069436e-7,0.011092309,0.000001948188,0.0006414381,0.000103593215,0.15555507,0.00020412297],"about_ca_topic_score_codex":0.014670035,"about_ca_topic_score_gemma":0.072868645,"teacher_disagreement_score":0.7264702,"about_ca_system_score_codex":0.00013790233,"about_ca_system_score_gemma":0.00016261119,"threshold_uncertainty_score":0.9918914},"labels":[],"label_agreement":null},{"id":"W2510721632","doi":"10.2196/cancer.5785","title":"Online Social Engagement by Cancer Patients: A Clinic-Based Patient Survey","year":2016,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"The Internet; Social media; Cancer; Medicine; Internet privacy; Family medicine; Psychology; World Wide Web; Computer science; Internal medicine","score_opus":0.1239592527814434,"score_gpt":0.5252228891077021,"score_spread":0.4012636363262587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510721632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981419,0.000119297736,0.00025577174,0.0044529443,0.0018437399,0.0019289608,0.008870097,0.00011595666,0.0009942044],"genre_scores_gemma":[0.95521384,0.00014456706,0.00008828793,0.03783922,0.0004505557,0.0033112657,0.00057882624,0.00003241874,0.0023410148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955337,0.0014395345,0.0016373581,0.0003296653,0.00042393873,0.00063579506],"domain_scores_gemma":[0.99720216,0.0006576525,0.0008779213,0.00027988816,0.00077002705,0.00021233175],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014025292,0.00019840283,0.00031153837,0.00006633238,0.0008108421,0.000011883796,0.00020397006,0.00021910614,0.017433768],"category_scores_gemma":[0.00035146796,0.00012592353,0.0000769046,0.00023925962,0.00006619465,0.00049130805,0.000094370014,0.00048676832,0.00039379258],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022170867,0.00037599483,0.56481296,0.000180971,0.000011483557,6.027583e-8,0.0017050188,3.6740204e-7,0.00000900605,0.0000060710954,0.3476479,0.08502849],"study_design_scores_gemma":[0.0017100568,0.00006687092,0.5023383,0.00018929272,0.000004028161,1.9578108e-9,0.00010441834,0.000040659714,0.000017511253,0.000007776471,0.49538696,0.00013415811],"about_ca_topic_score_codex":0.0022524968,"about_ca_topic_score_gemma":0.0019958632,"teacher_disagreement_score":0.14773905,"about_ca_system_score_codex":0.0009914909,"about_ca_system_score_gemma":0.0010886157,"threshold_uncertainty_score":0.9834644},"labels":[],"label_agreement":null},{"id":"W2513144094","doi":"10.2196/cancer.5367","title":"Like or Dislike? Impact of Facebook on Ewing Sarcoma Treatment","year":2016,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Social media; Internet privacy; Sarcoma; Ewing's sarcoma; Medicine; World Wide Web; Computer science; Pathology","score_opus":0.1893771329158587,"score_gpt":0.5117983387067218,"score_spread":0.3224212057908631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2513144094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98798877,0.000110529705,0.000003841666,0.0032149674,0.0023172551,0.0018615063,0.000029640896,0.000047276128,0.0044261953],"genre_scores_gemma":[0.99309355,0.0004839017,0.00002023315,0.0000877717,0.0010364681,0.003043466,7.2567593e-7,0.000012280089,0.002221624],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990392,0.0001177056,0.00015284542,0.00015165194,0.00024792823,0.00029069616],"domain_scores_gemma":[0.99865746,0.0008835828,0.00011423636,0.00013997193,0.0000597208,0.00014500783],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001395353,0.00008813673,0.00015224642,0.000050221723,0.00016137848,0.000010442448,0.00010610881,0.00007625582,0.002238316],"category_scores_gemma":[0.00023599049,0.000048986698,0.000085348,0.00016295817,0.0001349086,0.00009619843,0.0000073662814,0.000033725682,0.00007937494],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002253406,0.00021502769,0.20495237,0.000018696477,0.000051647843,0.0000014134101,0.0693058,0.0000014827157,0.00061332237,0.00086582685,0.0053089485,0.7184401],"study_design_scores_gemma":[0.0012740486,0.0010186433,0.5599644,0.00034145013,0.00002516176,2.1258431e-7,0.0024767339,0.0000023363662,0.0011060158,0.00038418642,0.43315002,0.0002567526],"about_ca_topic_score_codex":0.02119146,"about_ca_topic_score_gemma":0.0066424846,"teacher_disagreement_score":0.71818334,"about_ca_system_score_codex":0.0022729412,"about_ca_system_score_gemma":0.0013746896,"threshold_uncertainty_score":0.9986738},"labels":[],"label_agreement":null},{"id":"W2515229697","doi":"10.2196/cancer.5947","title":"Comparing Web-Based Provider-Initiated and Patient-Initiated Survivorship Care Planning for Cancer Patients: A Randomized Controlled Trial","year":2016,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; Johns Hopkins Bloomberg School of Public Health; Genentech; Johns Hopkins University","keywords":"Survivorship curve; Randomized controlled trial; Cancer survivorship; Medicine; Cancer; Internal medicine","score_opus":0.0464514632680425,"score_gpt":0.3286956246795697,"score_spread":0.2822441614115272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2515229697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757847,0.004705617,0.00012542652,0.0008595397,0.0020788568,0.015061531,0.0003715832,0.00023913648,0.0007735719],"genre_scores_gemma":[0.97187054,0.000112347385,0.000025352989,0.0012285587,0.00046024282,0.025930122,0.00012447266,0.000091311544,0.00015703653],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9969337,0.00038030147,0.00091377355,0.00063588185,0.0005110327,0.0006253413],"domain_scores_gemma":[0.99667144,0.0013252646,0.0005131052,0.0002906434,0.0009045475,0.000295013],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003545039,0.00046983815,0.0021762794,0.00023991705,0.00018317635,0.00006660091,0.00011208768,0.00023118882,0.0002571784],"category_scores_gemma":[0.000489371,0.00029634158,0.0005249445,0.00023113246,0.0001908097,0.0001622032,0.00004039548,0.00019642942,0.0000030157871],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9408437,0.0001773482,0.047544975,0.00044469134,0.0004804171,0.0000079034235,0.0024713024,0.000012225847,0.00020091554,0.000020963906,0.00077350077,0.007022032],"study_design_scores_gemma":[0.98623157,0.0009156202,0.0014663702,0.0019057172,0.0006972313,5.61165e-7,0.0007479584,0.0006696983,0.0006775607,0.000021553313,0.006196971,0.00046916946],"about_ca_topic_score_codex":0.0019205437,"about_ca_topic_score_gemma":0.0068815127,"teacher_disagreement_score":0.046078604,"about_ca_system_score_codex":0.00043926272,"about_ca_system_score_gemma":0.0007822655,"threshold_uncertainty_score":0.99994886},"labels":[],"label_agreement":null},{"id":"W2518745652","doi":"10.2196/cancer.5711","title":"EHealth Acceptance and New Media Preferences for Therapy Assistance Among Breast Cancer Patients","year":2016,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"mHealth; eHealth; Breast cancer; Medicine; Mobile phone; Family medicine; The Internet; Telemedicine; Health care; Cancer; Nursing; Internal medicine; Telecommunications; World Wide Web; Psychological intervention","score_opus":0.038040153970112435,"score_gpt":0.32721838482571114,"score_spread":0.2891782308555987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2518745652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862343,0.0061667287,0.0001088517,0.0041228384,0.0011666826,0.0010741217,0.0006759205,0.00007033704,0.00038020467],"genre_scores_gemma":[0.9860131,0.008014572,0.00004477498,0.0011988381,0.0010353638,0.0012498938,0.000012173947,0.000040098137,0.002391199],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856853,0.000023662004,0.00023931915,0.0004555367,0.00032112037,0.0003918181],"domain_scores_gemma":[0.9989339,0.00009972257,0.00015547687,0.00024358975,0.00023622402,0.00033106824],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007353355,0.000220259,0.00034640692,0.00005496016,0.00008067567,0.00002681376,0.000120559875,0.00011498557,0.00096593477],"category_scores_gemma":[0.000016989323,0.00013636213,0.00008128529,0.0001636923,0.00012376966,0.00021432224,0.000022518188,0.000098465316,0.0000031568056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071945536,0.00003859403,0.63325053,0.00007437918,0.000037688664,3.9693026e-7,0.00076896005,7.876616e-8,0.0001346536,0.00002623875,0.010965688,0.3539833],"study_design_scores_gemma":[0.0034815334,0.00014095251,0.9505491,0.00055756775,0.000026952794,8.960848e-7,0.00008671105,0.000002191462,0.0004478675,0.0001818626,0.04431985,0.00020450012],"about_ca_topic_score_codex":0.0026272188,"about_ca_topic_score_gemma":0.033259735,"teacher_disagreement_score":0.35377884,"about_ca_system_score_codex":0.00026273952,"about_ca_system_score_gemma":0.00046852868,"threshold_uncertainty_score":0.9999473},"labels":[],"label_agreement":null},{"id":"W2522789166","doi":"10.2196/cancer.5132","title":"eHealth in Modern Patient-Caregiver Communication: High Rate of Acceptance Among Physicians for Additional Support of Breast Cancer Patients During Long-Term Therapy","year":2016,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"eHealth; Breast cancer; Psychological intervention; Medicine; Family medicine; The Internet; Health care; Cancer; Nursing; Internal medicine","score_opus":0.02191627680306112,"score_gpt":0.3178958159378064,"score_spread":0.2959795391347453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522789166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99471444,0.00023506649,0.00005805394,0.0015607501,0.00008930723,0.0009474081,0.0022546484,0.00001321237,0.00012711706],"genre_scores_gemma":[0.9949951,0.0012928025,0.00004715574,0.000651266,0.000080172904,0.0019775059,0.00019346883,0.000019489422,0.00074302644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989159,0.00003691137,0.0003899524,0.00022284439,0.00023454473,0.00019981376],"domain_scores_gemma":[0.99861234,0.00006225054,0.00047528927,0.00036363013,0.0004203829,0.00006608495],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004723201,0.00012372209,0.00029892684,0.000065063825,0.00004001854,0.0000027523263,0.00017020265,0.00005722242,0.0057159862],"category_scores_gemma":[0.000008702245,0.00009395222,0.00007090286,0.00015405573,0.0001658261,0.00017451661,0.000025280624,0.00007791682,0.000006296871],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008688803,0.0005358189,0.8839308,0.00029051653,0.000065927525,7.780967e-7,0.00078489515,0.000006481396,0.0023565495,0.00004380448,0.011738472,0.09937705],"study_design_scores_gemma":[0.0036917052,0.00012507635,0.99086607,0.0016550184,0.000010392588,5.349613e-7,0.000046748533,0.000019311774,0.0030404353,0.0000717902,0.00036997691,0.0001029498],"about_ca_topic_score_codex":0.00016319756,"about_ca_topic_score_gemma":0.00021728507,"teacher_disagreement_score":0.10693523,"about_ca_system_score_codex":0.0002254392,"about_ca_system_score_gemma":0.00024968892,"threshold_uncertainty_score":0.99519295},"labels":[],"label_agreement":null},{"id":"W2552440313","doi":"10.2196/cancer.6295","title":"Alcohol Intake Among Breast Cancer Survivors: Change in Alcohol Use During a Weight Management Intervention","year":2016,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Alcohol intake; Breast cancer; Alcohol; Psychological intervention; Medicine; Intervention (counseling); Affect (linguistics); Postmenopausal women; Cancer; Weight management; Environmental health; Internal medicine; Weight loss; Psychology; Obesity; Psychiatry; Biology","score_opus":0.04125670824069723,"score_gpt":0.3390062256789364,"score_spread":0.2977495174382392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552440313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956967,0.0005879233,0.000014057118,0.0011117423,0.0006873,0.0013578685,0.0002107408,0.000095637224,0.00023798124],"genre_scores_gemma":[0.99049723,0.0032842597,0.000014630312,0.00024994893,0.00069310475,0.0021049243,0.000011793104,0.00004988732,0.0030941959],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828535,0.00003857331,0.0003815052,0.0004994856,0.00032407528,0.00047103455],"domain_scores_gemma":[0.9992175,0.000016706137,0.00015235943,0.0003727982,0.00006901382,0.00017159109],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011443623,0.00026289438,0.00035258118,0.00031104978,0.00004463982,0.00003341165,0.00012152848,0.00011671505,0.0034680816],"category_scores_gemma":[0.0000038064038,0.00018580553,0.0001598441,0.00034263698,0.00007837196,0.00050915044,0.00008911735,0.00017447879,0.000033480264],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045252178,0.00011485127,0.85505843,0.00024668328,0.00013035325,0.00009011,0.00039491875,0.000001485193,0.00058699865,0.00001157853,0.00031888872,0.14259318],"study_design_scores_gemma":[0.004686492,0.000042072734,0.9852196,0.0028389557,0.00007480549,0.000015328753,0.00006884516,0.000022632072,0.00042577973,0.0000075982425,0.006336248,0.00026167094],"about_ca_topic_score_codex":0.06743551,"about_ca_topic_score_gemma":0.11947356,"teacher_disagreement_score":0.14233151,"about_ca_system_score_codex":0.00090490945,"about_ca_system_score_gemma":0.000030221303,"threshold_uncertainty_score":0.9974429},"labels":[],"label_agreement":null},{"id":"W2564790786","doi":"10.2196/cancer.6701","title":"Clinical Trial Electronic Portals for Expedited Safety Reporting: Recommendations from the Clinical Trials Transformation Initiative Investigational New Drug Safety Advancement Project","year":2016,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Food and Drug Administration","keywords":"Investigational Drugs; Clinical trial; Medicine; Drug; Investigational device exemption; Pharmacology; Internal medicine","score_opus":0.6039039582388719,"score_gpt":0.6421311764728272,"score_spread":0.03822721823395536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564790786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46614054,0.0021152394,0.04530225,0.3870664,0.039105497,0.03735335,0.017220696,0.0008131081,0.004882917],"genre_scores_gemma":[0.857559,0.03845558,0.0014369955,0.040048387,0.036502168,0.013717434,0.0051507605,0.00016213978,0.006967522],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9908174,0.00282053,0.0048930957,0.00060619414,0.0002833117,0.00057943864],"domain_scores_gemma":[0.982956,0.012657326,0.003547834,0.00029491817,0.00025571606,0.00028819704],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.012674674,0.000316091,0.00085245434,0.000075978416,0.0005831437,0.000028598992,0.00031260116,0.00034201526,0.0026013998],"category_scores_gemma":[0.0046755834,0.0001979945,0.00072430057,0.00027476845,0.00026383472,0.0006102229,0.000039845527,0.00095644087,0.000045785306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.059729673,0.00087179686,0.006907067,0.000018891302,0.0017337706,0.0000031867519,0.0020168782,0.000103210645,0.0017439715,0.0030351293,0.4910883,0.4327481],"study_design_scores_gemma":[0.05182926,0.00018500265,0.0021054118,0.000079849975,0.00048485742,0.0000018406729,0.0003755561,0.00027000162,0.0017366717,0.0021064598,0.9405339,0.0002912314],"about_ca_topic_score_codex":0.000058347996,"about_ca_topic_score_gemma":0.00024573185,"teacher_disagreement_score":0.44944555,"about_ca_system_score_codex":0.0003745029,"about_ca_system_score_gemma":0.0030048052,"threshold_uncertainty_score":0.9983104},"labels":[],"label_agreement":null},{"id":"W2568361028","doi":"10.2196/cancer.6750","title":"Rotterdam Prostate Cancer Risk Calculator: Development and Usability Testing of the Mobile Phone App","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Overdiagnosis; Prostate cancer; Calculator; Usability; Medicine; Mobile phone; Gynecology; Cancer; Computer science; Internal medicine; Telecommunications; Human–computer interaction","score_opus":0.025884353495109255,"score_gpt":0.3239164387375585,"score_spread":0.29803208524244923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568361028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937149,0.003386334,0.0000012959291,0.0005834917,0.00023277341,0.0016122521,0.00011868439,0.000023567913,0.00032666902],"genre_scores_gemma":[0.99450076,0.00075110106,0.0003806839,0.00014769584,0.000103919694,0.0036831046,0.0000023643263,0.000020636682,0.00040973187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888253,0.000023149427,0.0002739562,0.00033448145,0.0002375527,0.00024835079],"domain_scores_gemma":[0.99876654,0.00004231981,0.000353562,0.0005878471,0.00013759763,0.00011214994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001507968,0.00017338865,0.00031089596,0.000019092295,0.000383674,0.00003390497,0.00012294784,0.0000512951,0.00008376895],"category_scores_gemma":[0.000057516514,0.00010668283,0.000061431085,0.00007036664,0.00024178161,0.00008129925,0.00015567317,0.00014556399,0.0000030927777],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064747794,0.00012416678,0.8259724,0.00019173071,0.000100495046,0.0000029735886,0.0010931175,0.000029584216,0.0006837011,0.0000022062504,0.00046173128,0.17127316],"study_design_scores_gemma":[0.0015691024,0.00007928129,0.9325057,0.0005064427,0.000099718,0.0000028299094,0.00005809297,0.00006915181,0.046797246,0.000023875082,0.018168624,0.000119911936],"about_ca_topic_score_codex":0.0032854322,"about_ca_topic_score_gemma":0.0008715258,"teacher_disagreement_score":0.17115325,"about_ca_system_score_codex":0.00038111137,"about_ca_system_score_gemma":0.00043377624,"threshold_uncertainty_score":0.49666125},"labels":[],"label_agreement":null},{"id":"W2586386991","doi":"10.2196/cancer.5821","title":"Adolescent and Young Adult Cancer Survivorship Educational Programming: A Qualitative Evaluation","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Cancer Prevention and Research Institute of Texas","keywords":"Survivorship curve; Cancer survivorship; Qualitative research; Gerontology; Psychology; Cancer; Oncology; Medicine; Sociology; Internal medicine; Social science","score_opus":0.10834340066378399,"score_gpt":0.4817650527918879,"score_spread":0.3734216521281039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586386991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93558085,0.0036415858,0.000027963115,0.055554543,0.001418868,0.0021157942,0.000078583325,0.000060295726,0.0015215169],"genre_scores_gemma":[0.9909199,0.0004277418,0.0004033694,0.001756281,0.0016515185,0.002900727,0.00004992316,0.00004580043,0.0018447256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99733603,0.00026752078,0.00041199234,0.0005783718,0.0010228659,0.0003832367],"domain_scores_gemma":[0.9976034,0.000104097046,0.0004567262,0.0006385389,0.00091098936,0.000286208],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011553377,0.00026349796,0.00040372286,0.00009056208,0.00042485376,0.00015864645,0.00019810279,0.00012861645,0.00058432017],"category_scores_gemma":[0.00069174706,0.00024784319,0.00010638185,0.00010209182,0.00030202526,0.00028655332,0.000081038124,0.00030536155,0.000019479463],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000655658,0.0006149171,0.8280475,0.0012049302,0.0003628142,0.0000034723553,0.06936665,0.0000037358186,0.00028136754,0.0016435852,0.018137945,0.07967744],"study_design_scores_gemma":[0.0029040528,0.00012384624,0.9845945,0.001461332,0.00023923919,0.000013981774,0.004514913,0.0002119459,0.0002505049,0.00071054394,0.004590905,0.00038419943],"about_ca_topic_score_codex":0.036567565,"about_ca_topic_score_gemma":0.052900486,"teacher_disagreement_score":0.15654705,"about_ca_system_score_codex":0.0005191398,"about_ca_system_score_gemma":0.0011213273,"threshold_uncertainty_score":0.9999974},"labels":[],"label_agreement":null},{"id":"W2586916831","doi":"10.2196/cancer.6680","title":"Parent and Health Care Provider Perceptions for Development of a Web-Based Weight Management Program for Survivors of Pediatric Acute Lymphoblastic Leukemia: A Mixed Methods Study","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lymphoblastic Leukemia; Medicine; Family medicine; Leukemia; Internal medicine","score_opus":0.05771468483904389,"score_gpt":0.4494903691459238,"score_spread":0.39177568430687987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586916831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9724056,0.001282174,0.008776699,0.0013764163,0.0005455473,0.015255241,0.00023795052,0.00007901339,0.00004133125],"genre_scores_gemma":[0.84200317,0.0001365954,0.14207867,0.00018690285,0.00023445506,0.015133173,0.000059057566,0.000056540488,0.00011143049],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9976491,0.000118529606,0.00085072365,0.0005479941,0.00042997694,0.0004037267],"domain_scores_gemma":[0.99787945,0.00014610462,0.0007534952,0.00064552634,0.00036708868,0.00020836887],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009681167,0.00028555052,0.0008378294,0.00020503519,0.00036418103,0.00003072835,0.00022784565,0.00008488732,0.000016310943],"category_scores_gemma":[0.00005419971,0.00025040266,0.00018337382,0.0001385583,0.00010480276,0.000068147514,0.00012252216,0.000091911796,3.7983062e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024055662,0.0035110654,0.28059784,0.03319645,0.002442858,0.0000052186724,0.048189946,0.000036955003,0.000125807,0.00007028389,0.0073677455,0.6220503],"study_design_scores_gemma":[0.019052926,0.0032987434,0.9485281,0.0006849402,0.0015377323,0.0000017317442,0.012277892,0.0005375745,0.00037275397,0.000019320429,0.013236813,0.00045145876],"about_ca_topic_score_codex":0.00067661033,"about_ca_topic_score_gemma":0.0071912063,"teacher_disagreement_score":0.66793025,"about_ca_system_score_codex":0.0008017359,"about_ca_system_score_gemma":0.002345279,"threshold_uncertainty_score":0.9999948},"labels":[],"label_agreement":null},{"id":"W2593058917","doi":"10.2196/cancer.6435","title":"An eHealth Intervention to Increase Physical Activity and Healthy Eating in Older Adult Cancer Survivors: Summative Evaluation Results","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; Memorial Sloan-Kettering Cancer Center","keywords":"Summative assessment; eHealth; Intervention (counseling); Healthy eating; Gerontology; Physical activity; Medicine; Cancer; Psychology; Clinical psychology; Physical therapy; Nursing; Internal medicine; Formative assessment; Political science; Pedagogy","score_opus":0.0436465228739454,"score_gpt":0.4460586180034749,"score_spread":0.4024120951295295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593058917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99316776,0.00024607548,0.000028445083,0.0038589635,0.0004090567,0.0015526435,0.00015506719,0.000034224995,0.00054778735],"genre_scores_gemma":[0.99694705,0.00012990317,0.000020703883,0.00055546075,0.0006426989,0.0015082957,0.000035090714,0.000026008422,0.00013480973],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9981829,0.00027986002,0.0002445419,0.00052533054,0.00045167204,0.00031569295],"domain_scores_gemma":[0.9984905,0.000058969195,0.00028174618,0.00050926494,0.0003582568,0.00030125096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007233601,0.00018653672,0.00036107405,0.000120133605,0.00021582251,0.00007373507,0.000110874986,0.00008829388,0.000055871442],"category_scores_gemma":[0.00022273105,0.00017282469,0.00006322308,0.00014854995,0.00006095271,0.00041232348,0.000059939204,0.00027998784,0.0000034452814],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0059070494,0.000660399,0.27916268,0.0006772705,0.00003759812,0.000007000554,0.022052368,0.000052478095,0.0011209454,0.000037362697,0.0004198642,0.689865],"study_design_scores_gemma":[0.004076791,0.000527284,0.98414534,0.0016018357,0.000042547854,0.0000014482256,0.0012996503,0.007270714,0.00060207956,0.000033256525,0.00021015626,0.0001889202],"about_ca_topic_score_codex":0.45058087,"about_ca_topic_score_gemma":0.690257,"teacher_disagreement_score":0.70498264,"about_ca_system_score_codex":0.00078893034,"about_ca_system_score_gemma":0.0003464317,"threshold_uncertainty_score":0.7047586},"labels":[],"label_agreement":null},{"id":"W2605624450","doi":"10.2196/cancer.6935","title":"The Fitbit One Physical Activity Tracker in Men With Prostate Cancer: Validation Study","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Cancer Institute","keywords":"Prostate cancer; Physical activity; Activity tracker; Medicine; Cancer; Quality of life (healthcare); Population; Oncology; Physical therapy; Internal medicine","score_opus":0.03297028163646584,"score_gpt":0.3659240010094691,"score_spread":0.3329537193730032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605624450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909062,0.00015205257,0.0000013548596,0.0045909593,0.00015578841,0.0015163195,0.00002282888,0.000027240318,0.0026272908],"genre_scores_gemma":[0.99320567,0.00016191608,0.000001491104,0.00006096099,0.00039996768,0.0022482176,0.0000027410988,0.000024203257,0.0038948283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989544,0.000047482314,0.00009355463,0.00028319054,0.00037480769,0.00024656678],"domain_scores_gemma":[0.9991148,0.000031918527,0.00013338111,0.0005554246,0.00009517052,0.00006928304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014547592,0.0001393171,0.00025004236,0.00002606741,0.00027545186,0.00009774074,0.00014725944,0.000035883833,0.00005004856],"category_scores_gemma":[0.0000116072315,0.000087095956,0.00004028468,0.00009665597,0.00010002592,0.00019138437,0.000042687472,0.00025612966,0.000006225817],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004425004,0.001121039,0.7329036,0.00009533131,0.00019020723,0.000030373792,0.014079705,0.000031750154,0.001509977,0.00002440519,0.00131905,0.24426953],"study_design_scores_gemma":[0.002635931,0.00033321706,0.9860647,0.00015367253,0.000085359425,8.999756e-7,0.0010970213,0.00012924096,0.0038784517,0.000023275912,0.0054539684,0.00014427862],"about_ca_topic_score_codex":0.015789,"about_ca_topic_score_gemma":0.07440491,"teacher_disagreement_score":0.25316104,"about_ca_system_score_codex":0.00027629855,"about_ca_system_score_gemma":0.0002313705,"threshold_uncertainty_score":0.9907649},"labels":[],"label_agreement":null},{"id":"W2612985904","doi":"10.2196/cancer.7202","title":"Assessing the Comparability of Paper and Electronic Versions of the EORTC QOL Module for Head and Neck Cancer: A Qualitative Study","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Comparability; Equivalence (formal languages); Head and neck cancer; Medicine; Quality of life (healthcare); Medical physics; Head and neck; Cancer; Clinical trial; Family medicine; Physical therapy; Oncology; Surgery; Internal medicine; Nursing; Mathematics","score_opus":0.06826584782552111,"score_gpt":0.46774307373986646,"score_spread":0.3994772259143453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612985904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932145,0.0023468125,0.000008176185,0.002715356,0.00015309977,0.0012632522,0.00006599875,0.00000499052,0.00022782982],"genre_scores_gemma":[0.9990115,0.0001617879,0.000007431035,0.00014870464,0.00006384786,0.00044401418,0.0000010039092,0.000009457989,0.00015224157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992018,0.000096418415,0.00017237107,0.00019235387,0.00017486606,0.00016218745],"domain_scores_gemma":[0.9989983,0.00015596619,0.0001983968,0.00045833783,0.00015020651,0.00003882757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032202754,0.00009626468,0.0003036284,0.000013763348,0.0002878266,0.000024982266,0.0001244227,0.000034789733,0.000033588378],"category_scores_gemma":[0.000049914208,0.00005414288,0.00007105786,0.000056097837,0.0003222985,0.00011257482,0.00007436909,0.00013834884,5.418943e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007658964,0.00034477407,0.8816895,0.0005648681,0.0003576684,3.8144705e-7,0.09776755,0.0000116927085,0.0024022453,0.0005260531,0.0007348421,0.014834514],"study_design_scores_gemma":[0.0021927443,0.00033373656,0.95899844,0.00024057926,0.00019809892,7.947875e-7,0.03333736,0.00011980359,0.0007073659,0.00036541166,0.0034246496,0.000080992504],"about_ca_topic_score_codex":0.011924182,"about_ca_topic_score_gemma":0.044125937,"teacher_disagreement_score":0.07730895,"about_ca_system_score_codex":0.00010208824,"about_ca_system_score_gemma":0.00028848968,"threshold_uncertainty_score":0.9946555},"labels":[],"label_agreement":null},{"id":"W2619453278","doi":"10.2196/cancer.6933","title":"Deconstructing Cancer Patient Information Seeking in a Consumer Health Library Toward Developing a Virtual Information Consult for Cancer Patients and Their Caregivers: A Qualitative, Instrumental Case Study","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University Health Network; Canadian Cancer Society; University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Qualitative research; Cancer; Information seeking; Health information; Medicine; Health care; Psychology; Family medicine; Gerontology; Sociology; Computer science; Library science; Political science; Internal medicine","score_opus":0.08104578279587615,"score_gpt":0.47737887818661967,"score_spread":0.3963330953907435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619453278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885721,0.00014345688,0.00030551787,0.001398038,0.0011341596,0.006338659,0.0018462918,0.00007181813,0.000189953],"genre_scores_gemma":[0.987609,0.00022099268,0.00062172435,0.005258862,0.00006317022,0.0060451427,0.0001552785,0.000016081345,0.00000971677],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9962031,0.00046972677,0.0021884856,0.00025316645,0.00024774185,0.0006377375],"domain_scores_gemma":[0.9960939,0.0003179269,0.0025904395,0.0002691381,0.000504387,0.00022415968],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00090157223,0.00029861828,0.0005017977,0.00030355624,0.0023402527,0.00024516633,0.00019902122,0.0001681399,0.00012956213],"category_scores_gemma":[0.00031642208,0.00025215937,0.000047423968,0.00019474376,0.00012908218,0.013335514,0.000287057,0.00051556644,0.0000063652137],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015701386,0.00003090152,0.36611181,0.0008003275,0.00002733839,5.482795e-7,0.39957902,0.0000049544947,2.854735e-7,0.00006565277,0.0004930378,0.23272912],"study_design_scores_gemma":[0.009104945,0.00032026498,0.12304526,0.0018376834,0.000012994719,0.0000061992296,0.8240792,0.003106046,0.000020040934,0.000057937486,0.037894227,0.0005151912],"about_ca_topic_score_codex":0.024985364,"about_ca_topic_score_gemma":0.006960606,"teacher_disagreement_score":0.4245002,"about_ca_system_score_codex":0.0011765128,"about_ca_system_score_gemma":0.002648386,"threshold_uncertainty_score":0.9999931},"labels":[],"label_agreement":null},{"id":"W2728214660","doi":"10.2196/cancer.6987","title":"Cancer-Related Fatigue in Post-Treatment Cancer Survivors: Theory-Based Development of a Web-Based Intervention","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cancer-related fatigue; Coping (psychology); Cancer; Intervention (counseling); Medicine; Cancer treatment; Web application; Psychotherapist; Physical therapy; Clinical psychology; Psychology; Psychiatry; Internal medicine; World Wide Web; Computer science","score_opus":0.03471045795610327,"score_gpt":0.3621106763977347,"score_spread":0.3274002184416314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2728214660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917011,0.0028996042,0.00009355036,0.0016524629,0.0011496968,0.0012409771,0.00020263545,0.0000901704,0.00096978666],"genre_scores_gemma":[0.99444133,0.00020360664,0.000127338,0.00029140586,0.00011082895,0.0033839063,0.00007665285,0.00005592075,0.0013090371],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99793494,0.00011529221,0.00063059654,0.00048859353,0.0004125471,0.00041800414],"domain_scores_gemma":[0.9982515,0.00006126315,0.0005004538,0.0006976882,0.00032737467,0.00016173624],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00033640058,0.0003477218,0.0006050568,0.0002587248,0.00016770979,0.0000398029,0.00025992957,0.00019943298,0.0021144059],"category_scores_gemma":[0.000031143598,0.0002928488,0.00027308965,0.00022062847,0.0001320294,0.000115775525,0.000044234566,0.00020864178,0.0000084489175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003227922,0.0015617447,0.60895187,0.0012761854,0.0007451439,0.0000507326,0.008037062,0.0005987848,0.007603236,0.00013836825,0.00016406753,0.36764488],"study_design_scores_gemma":[0.021274095,0.0007982318,0.8168481,0.0065390873,0.0004498832,0.0000017354586,0.0009200085,0.0023127915,0.09780366,0.000056881017,0.052107587,0.0008879452],"about_ca_topic_score_codex":0.07493633,"about_ca_topic_score_gemma":0.58516335,"teacher_disagreement_score":0.51022696,"about_ca_system_score_codex":0.0017966259,"about_ca_system_score_gemma":0.0025377548,"threshold_uncertainty_score":0.9999524},"labels":[],"label_agreement":null},{"id":"W2737292476","doi":"10.2196/cancer.7120","title":"Development, Feasibility, and Small-Scale Implementation of a Web-Based Prognostic Tool—Surveillance, Epidemiology, and End Results Cancer Survival Calculator","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Calculator; Usability; Medicine; Scale (ratio); Population; Surveillance, Epidemiology, and End Results; The Internet; Epidemiology; Family medicine; Computer science; World Wide Web; Cancer registry; Internal medicine; Environmental health","score_opus":0.1013497699651498,"score_gpt":0.41016129483362934,"score_spread":0.3088115248684795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737292476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938022,0.0019844978,0.000022700162,0.0018588877,0.00043728965,0.0010072975,0.00046690795,0.000035020857,0.00038522057],"genre_scores_gemma":[0.9977843,0.00048442613,0.0004315284,0.00030996394,0.0001843242,0.0005336078,0.000060558123,0.000024258297,0.00018702669],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982639,0.00010721644,0.000549132,0.0005323339,0.00019057984,0.00035686317],"domain_scores_gemma":[0.99853766,0.00021521824,0.00041596364,0.00046153934,0.00019310786,0.00017649007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089995423,0.00021811173,0.0005811255,0.00007083448,0.00020805994,0.000027989454,0.00011077607,0.00012822232,0.00012974448],"category_scores_gemma":[0.000198797,0.00018935591,0.00006722163,0.00007780794,0.00031477428,0.00007975166,0.00010350205,0.00015043038,9.96449e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006165575,0.00003644226,0.9493769,0.00041342183,0.00007159995,0.0000033864492,0.00055311073,0.000001588717,0.00073926133,0.00002837667,0.00033815627,0.047821205],"study_design_scores_gemma":[0.004688099,0.000103476,0.9766568,0.00021687876,0.00006065439,0.0000032645112,0.0002464507,0.00008690844,0.00112791,0.00002180168,0.016581908,0.00020586302],"about_ca_topic_score_codex":0.009307915,"about_ca_topic_score_gemma":0.22367157,"teacher_disagreement_score":0.21436366,"about_ca_system_score_codex":0.00016638865,"about_ca_system_score_gemma":0.00077231566,"threshold_uncertainty_score":0.9972892},"labels":[],"label_agreement":null},{"id":"W2742539232","doi":"10.2196/cancer.6996","title":"Electronic-Based Patient-Reported Outcomes: Willingness, Needs, and Barriers in Adjuvant and Metastatic Breast Cancer Patients","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Breast cancer; Metastatic breast cancer; Medicine; Oncology; Adjuvant; Cancer; Internal medicine; Family medicine","score_opus":0.011543414428837431,"score_gpt":0.29790961275921973,"score_spread":0.2863661983303823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742539232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942907,0.0022523345,0.000005058772,0.0019482392,0.0004158125,0.0007538107,0.00017712923,0.00003104202,0.00012588406],"genre_scores_gemma":[0.9971987,0.00052309834,0.000008343178,0.0014286835,0.000050984923,0.0005866215,0.000022146753,0.000040065748,0.00014135714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847144,0.000032184493,0.00033205032,0.0003779163,0.00032856682,0.0004578403],"domain_scores_gemma":[0.99885154,0.000029364783,0.0002683266,0.0004190203,0.00015187955,0.00027989002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010191998,0.00026035286,0.00051160296,0.00012704408,0.00018306065,0.0000682401,0.00009375514,0.000078031335,0.00020517039],"category_scores_gemma":[0.000052386004,0.00021163619,0.0000686444,0.00013491127,0.00016402373,0.00018635327,0.000052165793,0.00024841077,9.751406e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003950629,0.000070181886,0.96993124,0.00017095468,0.00010780201,0.000022160126,0.0013652523,0.0000056159547,0.000069861904,0.000011121964,0.0002121618,0.027638596],"study_design_scores_gemma":[0.004918768,0.00016897256,0.9864222,0.00036177327,0.00018506777,0.000007405341,0.00060333824,0.00015746603,0.00018694266,0.000035938934,0.0066739013,0.00027825125],"about_ca_topic_score_codex":0.013960659,"about_ca_topic_score_gemma":0.02764729,"teacher_disagreement_score":0.027360344,"about_ca_system_score_codex":0.00030265359,"about_ca_system_score_gemma":0.00054442085,"threshold_uncertainty_score":0.99260545},"labels":[],"label_agreement":null},{"id":"W2742610335","doi":"10.2196/cancer.7443","title":"Supporting Lung Cancer Patients With an Interactive Patient Portal: Feasibility Study","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"KWF Kankerbestrijding","keywords":"Lung cancer; Medicine; Cancer; Patient portal; Lung; Computer science; Oncology; Internal medicine; Health care; Political science","score_opus":0.06109081564855457,"score_gpt":0.5410440291950571,"score_spread":0.47995321354650256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742610335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851963,0.000108408254,0.0000066513903,0.00033867726,0.0020362767,0.009150971,0.00013332938,0.00012032748,0.0029090836],"genre_scores_gemma":[0.9902245,0.000009721479,0.000019424426,0.00053905486,0.00049927586,0.007532113,0.000021761916,0.00007714602,0.0010770491],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99580127,0.00068256207,0.00096601225,0.00076179334,0.00057298323,0.0012153726],"domain_scores_gemma":[0.99558896,0.00012498922,0.0019677451,0.0012320247,0.00069778046,0.00038852877],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007398682,0.00030375074,0.0005449734,0.000070998765,0.0020239041,0.00004582912,0.00042981052,0.00015819226,0.0015012961],"category_scores_gemma":[0.00015479713,0.00022925969,0.000053039017,0.00009625906,0.000064389584,0.0007278498,0.00018511301,0.0010398435,0.00002625746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005279029,0.00076800503,0.9730376,0.0002895969,0.000085415086,0.000008190018,0.015337397,0.000004379976,0.0000052787227,0.0000067436495,0.0029263943,0.0070030885],"study_design_scores_gemma":[0.0026411745,0.0012738392,0.986425,0.00058168004,0.000042809348,2.5585285e-7,0.004772746,0.00016842634,0.000008560796,0.000010765449,0.003781897,0.0002928513],"about_ca_topic_score_codex":0.028936097,"about_ca_topic_score_gemma":0.09233418,"teacher_disagreement_score":0.063398086,"about_ca_system_score_codex":0.0021127358,"about_ca_system_score_gemma":0.0021131223,"threshold_uncertainty_score":0.99941146},"labels":[],"label_agreement":null},{"id":"W2745099306","doi":"10.2196/cancer.7345","title":"Health Care Providers’ Knowledge of HPV Vaccination, Barriers, and Strategies in a State With Low HPV Vaccine Receipt: Mixed-Methods Study","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Center for Research Resources; National Cancer Institute","keywords":"Vaccination; Family medicine; Receipt; Medicine; Demographics; Health care; Human papillomavirus; HPV vaccines; Nursing; HPV infection; Cancer; Cervical cancer; Demography; Immunology; Internal medicine","score_opus":0.02207453634868418,"score_gpt":0.4449163734039407,"score_spread":0.4228418370552565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2745099306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9467016,0.021492753,0.00020058382,0.0062132846,0.00029251506,0.0059467936,0.0000985402,0.00006629872,0.01898765],"genre_scores_gemma":[0.9977619,0.0007050017,0.0003448624,0.00009119602,0.0001019797,0.0005205433,0.0000067929427,0.00003096627,0.00043672603],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99840415,0.00019478962,0.00034499043,0.00041581452,0.00027076932,0.00036947956],"domain_scores_gemma":[0.99839747,0.00006383873,0.00019094489,0.0005340413,0.00052549824,0.00028818837],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005626405,0.0001888953,0.00059326604,0.00017918553,0.00020736297,0.000088545035,0.00017848315,0.00005776922,0.0015730198],"category_scores_gemma":[0.00010423688,0.00014110163,0.000035403715,0.0002315052,0.00007006162,0.0002555802,0.000121780504,0.00032999547,0.00000133052],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014330833,0.00019721263,0.166809,0.0018858495,0.00007516349,0.000011853177,0.022194294,0.0000074207014,0.000018639807,0.00002506406,0.0014154053,0.80592704],"study_design_scores_gemma":[0.0061626434,0.0018210361,0.96789855,0.00007608041,0.000025645817,0.0000031325442,0.02086337,0.000060520735,0.00028515293,0.000072491945,0.002588384,0.00014296672],"about_ca_topic_score_codex":0.005634426,"about_ca_topic_score_gemma":0.078055814,"teacher_disagreement_score":0.80578405,"about_ca_system_score_codex":0.00036618378,"about_ca_system_score_gemma":0.0020245644,"threshold_uncertainty_score":0.9993397},"labels":[],"label_agreement":null},{"id":"W2758136161","doi":"10.2196/cancer.7166","title":"Comparison of Internet and Telephone Interventions for Weight Loss Among Cancer Survivors: Randomized Controlled Trial and Feasibility Study","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Psychological intervention; Modalities; The Internet; Weight loss; Randomized controlled trial; Medicine; Treatment modality; Physical therapy; Computer science; Internal medicine; World Wide Web; Nursing; Sociology","score_opus":0.07037282502676673,"score_gpt":0.44018630346669535,"score_spread":0.3698134784399286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758136161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97817177,0.005536303,0.00014380371,0.0003889095,0.00149085,0.0139545975,0.000088498484,0.000024028579,0.0002012321],"genre_scores_gemma":[0.9885214,0.00043269616,0.000013923682,0.000026327118,0.00039295712,0.008843181,0.0000081143535,0.00002378224,0.0017376039],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9981042,0.00020603962,0.0008158568,0.00041461547,0.0002466459,0.00021261715],"domain_scores_gemma":[0.99805623,0.000365479,0.0006948997,0.00046983457,0.0002749929,0.00013854123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010631923,0.00022818867,0.0024034379,0.00009034776,0.0001400597,0.0000713492,0.00014160026,0.000105884996,0.0002464814],"category_scores_gemma":[0.0003322705,0.00016367975,0.0005237889,0.000049117578,0.0005167165,0.00012544688,0.00010434907,0.0001737927,3.0189486e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.54343194,0.0006002986,0.45016918,0.0004399072,0.0006009295,0.0000013536985,0.0023625353,3.6842667e-7,0.000024831555,0.00001757515,0.0003109409,0.0020401413],"study_design_scores_gemma":[0.84513205,0.00081489136,0.15053232,0.00064353726,0.00096059294,6.688847e-7,0.0008399255,0.00032606098,0.00021894161,0.000045317236,0.00032670537,0.00015898491],"about_ca_topic_score_codex":0.026748905,"about_ca_topic_score_gemma":0.18481629,"teacher_disagreement_score":0.30170012,"about_ca_system_score_codex":0.00009565803,"about_ca_system_score_gemma":0.00010213606,"threshold_uncertainty_score":0.97973204},"labels":[],"label_agreement":null},{"id":"W2758359881","doi":"10.2196/cancer.8192","title":"A Mobile Breast Cancer Survivorship Care App: Pilot Study","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Survivorship curve; Psychosocial; Breast cancer; Medicine; Quality of life (healthcare); Health care; Cancer survivor; Family medicine; Nursing; Gerontology; Cancer; Psychiatry","score_opus":0.03749857611187005,"score_gpt":0.360067348308517,"score_spread":0.3225687721966469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758359881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786679,0.00515501,0.000003655192,0.0006993549,0.002380179,0.002289201,0.00043832837,0.00020406231,0.01016232],"genre_scores_gemma":[0.98402727,0.00037906787,0.00000526554,0.00053773524,0.0017662009,0.0055949963,0.00001772405,0.00008589991,0.007585848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99789435,0.00006290149,0.00028118235,0.0006441651,0.0005850301,0.0005323455],"domain_scores_gemma":[0.9976179,0.000022154647,0.00020769393,0.0014328074,0.00040329478,0.00031617313],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015036375,0.0003445107,0.00054992444,0.00009424885,0.00048894447,0.0001538814,0.00044951407,0.00009028201,0.002039556],"category_scores_gemma":[0.000012917495,0.00029602347,0.00014388366,0.00014995711,0.00015049032,0.00020138506,0.00017442094,0.0003821085,0.00007249254],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014384467,0.0006803189,0.923296,0.00038738234,0.00022340335,0.00009702008,0.011678066,0.000008741482,0.000467152,0.000019591947,0.0042722593,0.05743164],"study_design_scores_gemma":[0.003547372,0.0020238757,0.93043375,0.00038215535,0.00027874406,0.000024612027,0.009586668,0.000010247865,0.00026891864,0.000012133591,0.052932777,0.00049875013],"about_ca_topic_score_codex":0.11972325,"about_ca_topic_score_gemma":0.27740115,"teacher_disagreement_score":0.15767789,"about_ca_system_score_codex":0.00050766225,"about_ca_system_score_gemma":0.0004474133,"threshold_uncertainty_score":0.9999492},"labels":[],"label_agreement":null},{"id":"W2759280883","doi":"10.2196/cancer.7312","title":"The Impact of Participation in Online Cancer Communities on Patient Reported Outcomes: Systematic Review","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychology; Medicine; Family medicine","score_opus":0.08864538161574777,"score_gpt":0.45894943815632205,"score_spread":0.3703040565405743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2759280883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97691613,0.01871076,3.7463366e-7,0.0018720408,0.00027993543,0.0016437392,0.00006884786,0.000015059206,0.00049311033],"genre_scores_gemma":[0.98591363,0.01131308,8.868088e-7,0.0006215066,0.00003642018,0.0017507066,0.00001660821,0.000016110376,0.00033104687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868745,0.000113047,0.00060380145,0.0001056459,0.0003041617,0.0001858972],"domain_scores_gemma":[0.99778575,0.00012274353,0.0006968136,0.001133518,0.00020239741,0.000058757953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026365966,0.0001449619,0.00065172644,0.000042323427,0.00013941582,0.000022842049,0.00017128262,0.00004476146,0.00010559723],"category_scores_gemma":[0.0002199574,0.000076797754,0.00019854309,0.00008556696,0.00008536532,0.000059578775,0.00003958156,0.00018213734,0.0000018466985],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003349351,0.00028571728,0.91891223,0.06724013,0.00049208204,0.000017337661,0.00517125,0.000074554766,0.00003829801,0.000035344445,0.0017101271,0.0056880196],"study_design_scores_gemma":[0.00073127175,0.00028404492,0.87093914,0.12608391,0.00030648953,0.0000026168484,0.0010685271,0.00012887412,0.00006566753,0.000013807607,0.00024421525,0.00013142504],"about_ca_topic_score_codex":0.04488144,"about_ca_topic_score_gemma":0.07420322,"teacher_disagreement_score":0.058843788,"about_ca_system_score_codex":0.00038744367,"about_ca_system_score_gemma":0.0002167989,"threshold_uncertainty_score":0.96147877},"labels":[],"label_agreement":null},{"id":"W2760452853","doi":"10.2196/cancer.7495","title":"A Lifestyle Intervention via Email in Minority Breast Cancer Survivors: Randomized Parallel-Group Feasibility Study","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Cancer Institute","keywords":"Breast cancer; Intervention (counseling); Psychological intervention; Medicine; Randomized controlled trial; Population; Gerontology; Cancer; Physical therapy; Internal medicine; Psychiatry; Environmental health","score_opus":0.027047595254336546,"score_gpt":0.3628241215562421,"score_spread":0.3357765263019056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760452853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98953724,0.0016507037,0.00009166459,0.0015879342,0.0015704533,0.003988147,0.000105512336,0.00008293012,0.0013854442],"genre_scores_gemma":[0.9926669,0.00023759935,0.00001316636,0.00022716796,0.0007328134,0.0042201523,0.00001964809,0.000036042264,0.0018464815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99716043,0.0004456028,0.0006694531,0.0007323825,0.000522659,0.00046947115],"domain_scores_gemma":[0.99787796,0.00008860107,0.00040748878,0.0011747645,0.00022574926,0.00022546033],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014152607,0.00034802893,0.0011765845,0.00013083211,0.00021249504,0.00011752279,0.00034907498,0.00017219073,0.0014554604],"category_scores_gemma":[0.00007778098,0.0002911735,0.00047877937,0.00017763763,0.0002444899,0.0003241541,0.0001731779,0.00044593675,0.000020644382],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.05170635,0.0016972428,0.92578936,0.00032542288,0.00020785218,0.000053204145,0.0021592372,0.000004462576,0.00006379127,0.000021929996,0.0003136378,0.017657483],"study_design_scores_gemma":[0.11434781,0.0001655121,0.88287896,0.00040840558,0.00021528579,0.0000109485045,0.0007105525,0.000170628,0.000019352437,0.00008598512,0.00068788667,0.0002986967],"about_ca_topic_score_codex":0.39470553,"about_ca_topic_score_gemma":0.78447694,"teacher_disagreement_score":0.38977143,"about_ca_system_score_codex":0.0006814388,"about_ca_system_score_gemma":0.00016241144,"threshold_uncertainty_score":0.99995404},"labels":[],"label_agreement":null},{"id":"W2765263343","doi":"10.2196/cancer.7599","title":"Adherence to Report and Patient Perception of an Interactive App for Managing Symptoms During Radiotherapy for Prostate Cancer: Descriptive Study of Logged and Interview Data","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Vetenskapsrådet; Karolinska Institutet","keywords":"Prostate cancer; Medicine; Disease; Distress; Health care; Perception; Cancer; Family medicine; Psychology; Clinical psychology; Internal medicine","score_opus":0.06189265553025937,"score_gpt":0.3966284033439845,"score_spread":0.33473574781372517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765263343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942519,0.0010153479,0.00022708379,0.00021059586,0.0002803983,0.0037038852,0.00028399352,0.000011817202,0.000014985885],"genre_scores_gemma":[0.9970028,0.0004428914,0.00022841476,0.00006838739,0.00008084374,0.0019879863,0.000022308162,0.000023293132,0.00014310169],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989866,0.000026370824,0.00028765132,0.0004326008,0.00012679317,0.00014000853],"domain_scores_gemma":[0.99872506,0.000020866986,0.00035243336,0.00059607945,0.00022544223,0.00008014316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016395276,0.00012920359,0.00037217827,0.0000637813,0.00009524173,0.000029466322,0.0001384661,0.000030237927,0.000014379715],"category_scores_gemma":[0.000026933505,0.000111793226,0.000031101008,0.000036946094,0.00006158747,0.00027771384,0.00012058319,0.00006295353,2.5926726e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0049623162,0.0002728333,0.087629326,0.0016046885,0.0003602672,0.0000126249815,0.11562967,0.0000070513397,0.011968976,0.0000019292738,0.0001315612,0.77741873],"study_design_scores_gemma":[0.012058358,0.013858213,0.84307474,0.0051025846,0.00055969274,0.000059069927,0.113893576,0.001960342,0.005166555,0.000058650945,0.003648662,0.00055958296],"about_ca_topic_score_codex":0.007949207,"about_ca_topic_score_gemma":0.013880512,"teacher_disagreement_score":0.77685916,"about_ca_system_score_codex":0.000158753,"about_ca_system_score_gemma":0.00006495023,"threshold_uncertainty_score":0.9986569},"labels":[],"label_agreement":null},{"id":"W2766937588","doi":"10.2196/cancer.8150","title":"“Thanks for Letting Us All Share Your Mammogram Experience Virtually”: Developing a Web-Based Hub for Breast Cancer Screening","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Impact Fund","keywords":"Thematic analysis; Resource (disambiguation); Context (archaeology); World Wide Web; Computer science; Breast cancer; Service (business); Medicine; Qualitative research; Cancer; Business; Marketing; Sociology","score_opus":0.24770712945499673,"score_gpt":0.5106963727198115,"score_spread":0.26298924326481476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766937588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9004713,0.00079312234,0.005538934,0.06888585,0.012517451,0.010091198,0.0008915209,0.00034673803,0.0004638494],"genre_scores_gemma":[0.91702896,0.00011756157,0.0121432105,0.002953887,0.006223779,0.061241735,0.00002575619,0.000068366986,0.00019671829],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99772555,0.00007193332,0.0003442698,0.0005049458,0.00044609248,0.00090718985],"domain_scores_gemma":[0.997668,0.00069500733,0.0005371375,0.00031735998,0.00052634976,0.00025609558],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00064303225,0.00020606877,0.00027738078,0.0000804236,0.0029061153,0.00036867196,0.0007096484,0.00022749229,0.00022762365],"category_scores_gemma":[0.0016057923,0.0002261943,0.00013094411,0.00016577204,0.0002724217,0.0005078962,0.00005301802,0.00016717258,0.00000344241],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025121166,0.00006394335,0.26783633,0.00044538174,0.000059148384,0.0000014865504,0.07269675,0.00006632841,0.00044805396,0.0016213527,0.0048931427,0.6516169],"study_design_scores_gemma":[0.0019974501,0.00006152017,0.2936098,0.0012047401,0.00005333661,6.141296e-7,0.011705127,0.0017283527,0.00047282607,0.00020598689,0.6881384,0.00082184136],"about_ca_topic_score_codex":0.021860417,"about_ca_topic_score_gemma":0.031062344,"teacher_disagreement_score":0.68324524,"about_ca_system_score_codex":0.0009294471,"about_ca_system_score_gemma":0.0025798387,"threshold_uncertainty_score":0.998392},"labels":[],"label_agreement":null},{"id":"W2770150813","doi":"10.2196/cancer.7973","title":"Demands and Needs for Psycho-Oncological eHealth Interventions in Women With Cancer: Cross-Sectional Study","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"eHealth; Psychosocial; Psychological intervention; Distress; Medicine; Quality of life (healthcare); Social media; Anxiety; Feeling; Psychology; Family medicine; Nursing; Health care; Clinical psychology; Psychiatry; World Wide Web","score_opus":0.07914268481270066,"score_gpt":0.46065098474766747,"score_spread":0.3815082999349668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770150813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951978,0.0007695845,0.000039860744,0.001174712,0.0006215131,0.0013407682,0.00007664943,0.00002644852,0.00075267506],"genre_scores_gemma":[0.98985904,0.0002033011,0.000019588348,0.00042581474,0.00045642487,0.006906252,0.000004419719,0.000017558392,0.0021075667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898046,0.000021050386,0.0002427663,0.00028565005,0.00018037506,0.00028969854],"domain_scores_gemma":[0.99930495,0.00003165597,0.00013443931,0.00026342346,0.00011293537,0.00015260858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002746483,0.0001277512,0.00029337403,0.0001029715,0.0002678792,0.0000900105,0.00010909639,0.00008472856,0.00036256504],"category_scores_gemma":[0.000017119053,0.00009629987,0.00005960902,0.00010272929,0.00012850578,0.00010823491,0.00004161561,0.00019082997,0.0000010300057],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028687695,0.0003236709,0.98330945,0.00024364064,0.000073046314,0.0000062549343,0.0029668265,0.000006211098,0.000012715533,0.000040284693,0.00042137425,0.009727737],"study_design_scores_gemma":[0.0056192093,0.0018374121,0.9808505,0.00018348344,0.00002606237,0.000006655951,0.0017003338,0.000016851842,0.0000050882245,0.000064555614,0.009574377,0.00011546111],"about_ca_topic_score_codex":0.0037778558,"about_ca_topic_score_gemma":0.0562194,"teacher_disagreement_score":0.05244154,"about_ca_system_score_codex":0.0005048991,"about_ca_system_score_gemma":0.00022988868,"threshold_uncertainty_score":0.9610021},"labels":[],"label_agreement":null},{"id":"W2783449482","doi":"10.2196/cancer.8430","title":"Internet-Based Group Intervention for Ovarian Cancer Survivors: Feasibility and Preliminary Results","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health","keywords":"The Internet; Intervention (counseling); Ovarian cancer; Medicine; Group (periodic table); Oncology; Cancer; Psychology; Internal medicine; Computer science; World Wide Web; Nursing; Physics","score_opus":0.04893529022621638,"score_gpt":0.3528212760295866,"score_spread":0.3038859858033702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783449482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98430437,0.0038451569,0.0027436353,0.0027965468,0.0022825035,0.002229264,0.0005082224,0.0001521316,0.0011381491],"genre_scores_gemma":[0.9938082,0.00007465615,0.00018154462,0.000874481,0.0011000934,0.0014756975,0.00010696391,0.00003869222,0.0023396763],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99852043,0.00006169754,0.00034986858,0.0005621054,0.00020501362,0.00030090817],"domain_scores_gemma":[0.99895823,0.00007708433,0.00014042512,0.00037793888,0.00028422728,0.00016209183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036928992,0.00020315804,0.00029871694,0.000089577545,0.00007198184,0.000036273454,0.00009917787,0.00014435392,0.0004264061],"category_scores_gemma":[0.000059739534,0.00017999944,0.0001687425,0.00018129418,0.00018411706,0.00010780343,0.000053504962,0.00014881406,0.0000056559707],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.10118795,0.0012537722,0.33729842,0.0040187086,0.00046963867,0.00002347777,0.009256758,0.0000056367426,0.0020891773,0.00049553416,0.048553575,0.49534735],"study_design_scores_gemma":[0.019083764,0.008101643,0.67571384,0.0026831094,0.0003893957,0.000011882562,0.00083167653,0.0041790847,0.0077031613,0.00031364252,0.28026766,0.00072115776],"about_ca_topic_score_codex":0.023976758,"about_ca_topic_score_gemma":0.13319567,"teacher_disagreement_score":0.4946262,"about_ca_system_score_codex":0.00036785175,"about_ca_system_score_gemma":0.00012225051,"threshold_uncertainty_score":0.98252267},"labels":[],"label_agreement":null},{"id":"W2786555415","doi":"10.2196/cancer.8250","title":"Web-Based Communication Strategies Designed to Improve Intention to Minimize Risk for Colorectal Cancer: Randomized Controlled Trial","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Cancer Council South Australia; Government of South Australia; South Australian Health and Medical Research Institute; Flinders Medical Centre Foundation","keywords":"Colorectal cancer; Web application; Randomized controlled trial; Medicine; Oncology; Computer science; Internal medicine; World Wide Web; Cancer","score_opus":0.037193411999493824,"score_gpt":0.4597031566376378,"score_spread":0.42250974463814395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786555415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87056607,0.00015675492,0.05974035,0.0044206036,0.0038311656,0.057712056,0.0004843234,0.00021957011,0.0028690873],"genre_scores_gemma":[0.8272977,0.00007788698,0.008186856,0.0072379103,0.0007505702,0.15549542,0.00006403021,0.00002724523,0.0008623892],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99444497,0.0021768801,0.002240188,0.00032918117,0.00026195857,0.0005468231],"domain_scores_gemma":[0.9934616,0.0028738275,0.0013181332,0.00045423367,0.0016058636,0.00028633384],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005735841,0.00023501138,0.0011593812,0.00019694949,0.0011112365,0.0000778303,0.00032715718,0.0002505005,0.0014666469],"category_scores_gemma":[0.0024142666,0.00017186835,0.0002830798,0.00032519095,0.000119089775,0.0005927147,0.00006569531,0.0003542907,0.00012081357],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9778044,0.00008755884,0.00059383654,0.00020594412,0.00006431378,3.1296484e-8,0.0043639326,0.000031485866,0.0005256958,0.0003266381,0.0074419593,0.008554197],"study_design_scores_gemma":[0.9435547,0.00056752726,0.0013273413,0.0003304084,0.00009846403,2.8751689e-8,0.0011886194,0.022403194,0.00029341815,0.00033698848,0.029662786,0.00023651011],"about_ca_topic_score_codex":0.0029522486,"about_ca_topic_score_gemma":0.003647604,"teacher_disagreement_score":0.09778337,"about_ca_system_score_codex":0.0006251772,"about_ca_system_score_gemma":0.0024994907,"threshold_uncertainty_score":0.99944615},"labels":[],"label_agreement":null},{"id":"W2787082120","doi":"10.2196/cancer.9114","title":"Quality of Web-Based Educational Interventions for Clinicians on Human Papillomavirus Vaccine: Content and Usability Assessment","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychological intervention; Vaccination; Usability; Medicine; Human papillomavirus; Family medicine; Immunology; Nursing; Computer science; Internal medicine","score_opus":0.35275857145120987,"score_gpt":0.596931110420637,"score_spread":0.2441725389694271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787082120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840095,0.00026781726,0.00017226662,0.007969047,0.00021190407,0.0013087997,0.00029240001,0.000017550705,0.005750732],"genre_scores_gemma":[0.99686235,0.000024254989,0.00022550896,0.0008526766,0.00043543964,0.0007539129,0.00004340344,0.000010953441,0.0007915118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987906,0.000068099966,0.00044309313,0.00026107728,0.00026998093,0.00016710232],"domain_scores_gemma":[0.99865824,0.0002793152,0.00011331394,0.00026059474,0.0005659386,0.00012259581],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055958744,0.00009051951,0.0003140218,0.00006481796,0.00010066943,0.000010382948,0.000067849294,0.000056535453,0.0060087508],"category_scores_gemma":[0.00013374895,0.0000731377,0.00020992066,0.00009632291,0.00015905352,0.000027219918,0.000026545928,0.00013410335,0.00000387194],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029550907,0.0029259906,0.8716975,0.0027264454,0.0001804855,3.2446806e-7,0.00013843742,0.0000015298756,0.0091898,0.0077871103,0.014907121,0.08749018],"study_design_scores_gemma":[0.004028082,0.0014770827,0.9878556,0.00014513596,0.00003310047,1.6770959e-7,0.00005584207,0.00008849366,0.0009665018,0.00056934677,0.0047063087,0.00007435089],"about_ca_topic_score_codex":0.0006359041,"about_ca_topic_score_gemma":0.0031020273,"teacher_disagreement_score":0.116158105,"about_ca_system_score_codex":0.00023954299,"about_ca_system_score_gemma":0.00045384179,"threshold_uncertainty_score":0.99489987},"labels":[],"label_agreement":null},{"id":"W2789388607","doi":"10.2196/cancer.8993","title":"Implications of Patient Portal Transparency in Oncology: Qualitative Interview Study on the Experiences of Patients, Oncologists, and Medical Informaticists","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Patient portal; Medicine; Test (biology); Transparency (behavior); Perception; Qualitative research; Meaning (existential); Medical record; Family medicine; Medical education; Oncology; Psychology; Internal medicine; Health care; Computer science","score_opus":0.14814739768582294,"score_gpt":0.5599915841395036,"score_spread":0.4118441864536806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789388607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98967564,0.00020488152,0.000015104193,0.0019494093,0.0003620687,0.0030229797,0.000029090486,0.000010344133,0.004730493],"genre_scores_gemma":[0.9930171,0.00010409704,0.000011651345,0.0009321965,0.000044342152,0.0058575766,0.0000041544326,0.0000072379116,0.000021647762],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.995919,0.0017834902,0.0014477925,0.0001711158,0.0003605709,0.00031805935],"domain_scores_gemma":[0.9973315,0.0012968216,0.0007660776,0.00024591613,0.00026238343,0.00009729001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018665941,0.00011311154,0.00042699638,0.00008507452,0.00015196297,0.0000013330178,0.00022802954,0.00014511595,0.0007838808],"category_scores_gemma":[0.00036043112,0.00006859864,0.000029486333,0.0002901729,0.0003412272,0.00006416972,0.00005824912,0.00040324556,0.00000711893],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072870636,0.00058652984,0.093570694,0.00026877964,0.000019670055,3.105191e-7,0.8831608,8.6100854e-8,0.0000012902618,0.0011562955,0.001757631,0.019405007],"study_design_scores_gemma":[0.0011635778,0.005098823,0.2803311,0.000835464,0.000009096538,2.7752006e-7,0.70485044,0.000015644555,0.000014756313,0.00016302876,0.0074220886,0.00009572021],"about_ca_topic_score_codex":0.001138461,"about_ca_topic_score_gemma":0.013304245,"teacher_disagreement_score":0.1867604,"about_ca_system_score_codex":0.00035670344,"about_ca_system_score_gemma":0.0013795441,"threshold_uncertainty_score":0.8582945},"labels":[],"label_agreement":null},{"id":"W2790577546","doi":"10.2196/cancer.7515","title":"Toward Timely Data for Cancer Research: Assessment and Reengineering of the Cancer Reporting Process","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Workflow; Psychological intervention; Cancer registry; Medicine; Cancer; Computer science; Database; Nursing","score_opus":0.5980934566446544,"score_gpt":0.6729060742851137,"score_spread":0.07481261764045932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790577546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95088875,0.008331698,0.0008331904,0.01997281,0.0045456486,0.010533616,0.00088460813,0.00014562723,0.0038640704],"genre_scores_gemma":[0.98182636,0.00070178753,0.0003774651,0.0004669694,0.002837277,0.010695048,0.000010550166,0.000074611315,0.0030099442],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99625015,0.00032780133,0.0012731771,0.00059191184,0.00054508884,0.0010118429],"domain_scores_gemma":[0.996116,0.00045572867,0.0012352054,0.0010312075,0.0010130614,0.00014881096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004991142,0.00015903059,0.00042017535,0.00008494854,0.0007688919,0.000012555877,0.0006786859,0.00017960939,0.0002766004],"category_scores_gemma":[0.00064660626,0.00011131329,0.000035245117,0.0004907642,0.00015120224,0.00017246917,0.00044417338,0.0008719901,0.0000025517465],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003681695,0.000103669,0.6675943,0.025776174,0.00035891408,0.0000029394882,0.01945586,0.0001237029,0.010371194,0.0013428507,0.19855389,0.0759483],"study_design_scores_gemma":[0.0022604128,0.000366465,0.1537122,0.011278927,0.000097965705,0.000005651955,0.0043470897,0.023861127,0.0022113689,0.0006215277,0.80062324,0.0006140292],"about_ca_topic_score_codex":0.0134114465,"about_ca_topic_score_gemma":0.01715832,"teacher_disagreement_score":0.6020694,"about_ca_system_score_codex":0.0011026756,"about_ca_system_score_gemma":0.0068379035,"threshold_uncertainty_score":0.9987924},"labels":[],"label_agreement":null},{"id":"W2796030465","doi":"10.2196/cancer.7926","title":"Analysis of Content Shared in Online Cancer Communities: Systematic Review","year":2018,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"PsycINFO; Checklist; MEDLINE; The Internet; Quality (philosophy); Content analysis; Health care; Coding (social sciences); World Wide Web; Medicine; Medical education; Computer science; Psychology; Family medicine","score_opus":0.3824712053170894,"score_gpt":0.6011936106633757,"score_spread":0.21872240534628634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796030465","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006269731,0.98342127,0.000006529203,0.000118497206,0.0004657989,0.009896941,0.0056247506,0.00003816864,0.00036533328],"genre_scores_gemma":[0.0000093543385,0.9736167,0.00002862899,0.0054624276,0.00013161144,0.017879356,0.0017809911,0.00003178854,0.0010591199],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.98804975,0.0030790546,0.0076727914,0.00027059618,0.00041330646,0.0005145292],"domain_scores_gemma":[0.9908365,0.0010575366,0.005624359,0.0013757087,0.00094684924,0.00015905985],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029892144,0.00042438897,0.0068373536,0.0007720489,0.00021017043,0.000011331421,0.0007892111,0.0004630555,0.0086847395],"category_scores_gemma":[0.0003680807,0.0002811065,0.0007751619,0.0026449815,0.00007335902,0.0003818905,0.00020206184,0.0012361112,0.00009458962],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000059687345,0.000044827902,0.0020705203,0.9781633,0.00069500116,2.3867236e-7,0.0024860902,4.1913165e-7,1.2721844e-9,0.000011133491,0.003596096,0.0129263755],"study_design_scores_gemma":[0.00012154097,0.000008928553,0.0003698322,0.6001308,0.0033027222,9.1131405e-8,0.00053462246,0.00013353596,1.742653e-9,5.3993216e-7,0.3952432,0.0001541796],"about_ca_topic_score_codex":0.0080298595,"about_ca_topic_score_gemma":0.016281784,"teacher_disagreement_score":0.3916471,"about_ca_system_score_codex":0.0014724442,"about_ca_system_score_gemma":0.002259247,"threshold_uncertainty_score":0.9999641},"labels":[],"label_agreement":null},{"id":"W2796628163","doi":"10.2196/cancer.9210","title":"Development of a Web-based Family Intervention for BRCA Carriers and Their Biological Relatives: Acceptability, Feasibility, and Usability Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Genetic counseling; Psychological intervention; Coping (psychology); Usability; Genetic testing; Intervention (counseling); Focus group; Medicine; Referral; Psychology; Nursing; Family medicine; Clinical psychology; Computer science; Genetics","score_opus":0.05489478143573384,"score_gpt":0.36749475600575726,"score_spread":0.3125999745700234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796628163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963511,0.0007302542,0.0013294725,0.000047702448,0.00011304798,0.001264636,0.00009404973,0.0000099511635,0.00005973796],"genre_scores_gemma":[0.9961505,0.00001740897,0.0029569082,0.00005082017,0.00007434345,0.00070190453,0.000020119143,0.000010792107,0.000017229664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988998,0.00010079164,0.0002995595,0.00048768157,0.00006769267,0.00014447671],"domain_scores_gemma":[0.99934244,0.000036474557,0.000107406,0.0002623367,0.00019809366,0.00005322774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048117051,0.00014150479,0.00018183686,0.000030205507,0.000106193336,0.000013502745,0.00010536833,0.00011349549,0.000039567298],"category_scores_gemma":[0.00010690327,0.00011154025,0.00006243629,0.00008123829,0.0004797962,0.0000057423636,0.00014282075,0.00005099814,2.2144341e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084279384,0.00052556477,0.7324687,0.00014706384,0.0001701823,6.893627e-8,0.0038595137,0.0000066155894,0.19736981,0.0000107920405,0.00022885078,0.064370014],"study_design_scores_gemma":[0.0029107013,0.0014685823,0.904296,0.00002501992,0.0000204657,5.4707493e-7,0.0046644565,0.00015980082,0.07629476,0.00021026665,0.009719843,0.00022959846],"about_ca_topic_score_codex":0.000025507245,"about_ca_topic_score_gemma":0.000873091,"teacher_disagreement_score":0.17182723,"about_ca_system_score_codex":0.00013554325,"about_ca_system_score_gemma":0.00029981218,"threshold_uncertainty_score":0.45484793},"labels":[],"label_agreement":null},{"id":"W2799698792","doi":"10.2196/cancer.8918","title":"A Web-Based Intervention to Reduce Distress After Prostate Cancer Treatment: Development and Feasibility of the Getting Down to Coping Program in Two Different Clinical Settings","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute for Health and Care Research; NHS Health Scotland","keywords":"Distress; Coping (psychology); Prostate cancer; Peer support; Intervention (counseling); Emotional distress; Web application; Psychology; Cognition; Medicine; Psychotherapist; Clinical psychology; Anxiety; Nursing; Cancer; Computer science; Psychiatry; World Wide Web","score_opus":0.04022785414544973,"score_gpt":0.42292290535542626,"score_spread":0.38269505120997654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799698792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99316144,0.00041648324,0.000011940252,0.002930222,0.0004152093,0.0029343106,0.00006229926,0.00003304271,0.00003503018],"genre_scores_gemma":[0.9936778,0.000014975541,0.00019137964,0.0007708365,0.00020078306,0.0049396195,0.000007949217,0.000019264116,0.00017737987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844664,0.00009909454,0.00050434854,0.00044896986,0.0002195306,0.0002814157],"domain_scores_gemma":[0.9992424,0.000041107633,0.0001324382,0.0002843746,0.00013956426,0.00016007455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023038748,0.00018562781,0.00034855018,0.00006220119,0.000053390326,0.000025058902,0.00007753459,0.00004748445,0.00007228259],"category_scores_gemma":[0.0000420724,0.00012055675,0.0001128595,0.00026247004,0.000103119324,0.00003199602,0.00009107164,0.00012346616,0.0000014857987],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012950414,0.00028874274,0.66478294,0.00025523704,0.000028184582,0.0000018301317,0.003999529,0.0000021676992,0.00031403935,7.4967295e-7,0.00006874671,0.3289628],"study_design_scores_gemma":[0.0037078196,0.0005727729,0.9673508,0.0032715662,0.000048824826,6.6520084e-7,0.00023850823,0.00006622516,0.014014489,0.000002846403,0.010563499,0.00016202116],"about_ca_topic_score_codex":0.0027946162,"about_ca_topic_score_gemma":0.10836972,"teacher_disagreement_score":0.3288008,"about_ca_system_score_codex":0.00072874106,"about_ca_system_score_gemma":0.00024978782,"threshold_uncertainty_score":0.9079002},"labels":[],"label_agreement":null},{"id":"W2800645028","doi":"10.2196/cancer.9050","title":"Assessing Unmet Information Needs of Breast Cancer Survivors: Exploratory Study of Online Health Forums Using Text Classification and Retrieval","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Biomedical Imaging and Bioengineering; National Institute of General Medical Sciences","keywords":"Information needs; Computer science; Annotation; Information retrieval; Random forest; Coding (social sciences); Protected health information; Exploratory research; Medical education; Psychology; World Wide Web; Health education; Medicine; Artificial intelligence; Public health; Nursing","score_opus":0.1460243544639037,"score_gpt":0.5153517349154926,"score_spread":0.36932738045158886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800645028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951614,0.0001378983,0.0009491027,0.0007347077,0.0006359918,0.0016386218,0.00058813015,0.000040081515,0.0001140377],"genre_scores_gemma":[0.99758846,0.00012501467,0.00027160294,0.0015471242,0.00029060268,0.00009353255,0.000052068895,0.000013194525,0.000018420369],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964218,0.00056313956,0.0021488203,0.00012250611,0.00037963007,0.00036407862],"domain_scores_gemma":[0.99581677,0.00013759044,0.0022832933,0.00034389165,0.0012607302,0.00015773467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018850334,0.00015412051,0.00041660588,0.00034537082,0.0005619633,0.000021767106,0.00013587243,0.00015338307,0.00026892044],"category_scores_gemma":[0.00008710186,0.00013147245,0.000029039707,0.0009325423,0.0001269684,0.0041665784,0.000091659975,0.0003553081,0.000004519259],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049790443,0.00037493662,0.7277024,0.0028372006,0.000033803917,2.420509e-8,0.20312363,0.000024791094,0.00034160167,0.0001139215,0.00083777553,0.06411205],"study_design_scores_gemma":[0.001203885,0.00018103924,0.7957904,0.0007494948,0.000013463273,4.127157e-7,0.19046712,0.008293596,0.000031854455,0.00001752841,0.003124166,0.00012708882],"about_ca_topic_score_codex":0.0069209463,"about_ca_topic_score_gemma":0.002997542,"teacher_disagreement_score":0.068087995,"about_ca_system_score_codex":0.0005048078,"about_ca_system_score_gemma":0.0018259231,"threshold_uncertainty_score":0.999692},"labels":[],"label_agreement":null},{"id":"W2801358575","doi":"10.2196/cancer.8951","title":"Acceptability of a Mobile Phone App for Measuring Time Use in Breast Cancer Survivors (Life in a Day): Mixed-Methods Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Mobile phone; Medicine; Psychological intervention; Breast cancer; Phone; Psychology; Multimedia; Gerontology; Cancer; Computer science; Nursing","score_opus":0.03328995732886765,"score_gpt":0.3785879450240562,"score_spread":0.34529798769518855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801358575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944974,0.00079431926,0.00013597375,0.00016010886,0.00083039916,0.0030360736,0.00029230874,0.00005448279,0.00019890508],"genre_scores_gemma":[0.9925422,0.000055674525,0.00027777866,0.00019792783,0.0004425418,0.006052216,0.000008505242,0.000059523158,0.00036360364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974404,0.00036310774,0.0006802182,0.00063354505,0.00038873949,0.0004940105],"domain_scores_gemma":[0.9983544,0.00027571205,0.00018657188,0.0006065229,0.000390437,0.00018640512],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001595178,0.00028147682,0.00088836247,0.0002708151,0.000044137316,0.0000211111,0.00019948524,0.00015010888,0.0022113598],"category_scores_gemma":[0.00013888818,0.00025918818,0.00016466102,0.00095164456,0.00016701789,0.00020042146,0.00011130471,0.00025849766,0.000007107879],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016143202,0.0009532623,0.87501746,0.00034389205,0.0000987485,0.0000042684132,0.013285148,0.00004927076,0.0033599604,0.000001460172,0.0005529856,0.1047192],"study_design_scores_gemma":[0.0037541045,0.00032780078,0.98332655,0.00024335821,0.00007693256,0.0000023944256,0.0046301414,0.00045966366,0.0030471787,0.000012563514,0.003821325,0.00029799092],"about_ca_topic_score_codex":0.1308104,"about_ca_topic_score_gemma":0.47861895,"teacher_disagreement_score":0.34780857,"about_ca_system_score_codex":0.0006434755,"about_ca_system_score_gemma":0.00056240393,"threshold_uncertainty_score":0.99998605},"labels":[],"label_agreement":null},{"id":"W2801655922","doi":"10.2196/10060","title":"YouTube Videos as a Source of Information About Clinical Trials: Observational Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Observational study; Computer science; Data science; Medicine; Internal medicine","score_opus":0.4880888426347564,"score_gpt":0.65958424489928,"score_spread":0.17149540226452364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801655922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816942,0.000037080827,0.0021962186,0.00094947906,0.0019210827,0.0036224015,0.00008106816,0.000091735215,0.009406712],"genre_scores_gemma":[0.97796977,0.00003224326,0.00046845272,0.016990531,0.0017309076,0.0014359119,0.00006674533,0.000010630518,0.0012948377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.991653,0.0022394606,0.005135259,0.0001677476,0.00047986038,0.0003246314],"domain_scores_gemma":[0.9939932,0.0015842911,0.0023620254,0.00042261026,0.0014538985,0.00018395222],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.014602225,0.00013358268,0.00056709186,0.00012210412,0.000499357,0.000021724985,0.00024430887,0.00023948886,0.0059407502],"category_scores_gemma":[0.005977751,0.000099717516,0.00012442518,0.0003708425,0.00011029942,0.0021269869,0.000105810854,0.0005537219,0.001073335],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006869239,0.00018804232,0.8528721,0.0003161117,0.00003622267,4.8444065e-8,0.031164682,0.0000038734433,0.0000022154863,0.0006149634,0.0318419,0.08227293],"study_design_scores_gemma":[0.0017159395,0.00022470969,0.5730126,0.00014137434,0.000013537093,8.479331e-8,0.0037421803,0.0012156848,0.0000046964074,0.00013393316,0.41971606,0.000079223755],"about_ca_topic_score_codex":0.0014682501,"about_ca_topic_score_gemma":0.00020830361,"teacher_disagreement_score":0.38787416,"about_ca_system_score_codex":0.00016060333,"about_ca_system_score_gemma":0.0015792369,"threshold_uncertainty_score":0.9997044},"labels":[],"label_agreement":null},{"id":"W2802765290","doi":"10.2196/10160","title":"Patient-Centered Mobile Health Data Management Solution for the German Health Care System (The DataBox Project)","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; German; Health data; Data warehouse; Perspective (graphical); Health care; Data management; Data science; Knowledge management; Database; Artificial intelligence","score_opus":0.059886542702402984,"score_gpt":0.41560346488653593,"score_spread":0.355716922184133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802765290","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005751282,0.045236975,0.7394339,0.11617059,0.017560538,0.06891274,0.003708386,0.0021787481,0.0010468612],"genre_scores_gemma":[0.9575507,0.0005301086,0.015988508,0.0107152285,0.0016714754,0.012688337,0.0005353826,0.00006701765,0.0002532535],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974491,0.00032446784,0.00042800402,0.0007386048,0.0004397921,0.0006200564],"domain_scores_gemma":[0.99639934,0.0000774767,0.00041545706,0.0028522026,0.00016050664,0.00009502641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007131461,0.00017960671,0.00020928802,0.00006351869,0.001254896,0.00015970183,0.0022855336,0.00003494094,0.0000075350763],"category_scores_gemma":[0.000008699145,0.00011183434,0.000044890716,0.00037206922,0.00007212443,0.0002913522,0.00124386,0.00021039376,0.000021131484],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030402236,0.000033903798,0.00031853307,0.0017171591,0.000042735417,9.638807e-7,0.01901852,0.000047632402,7.481989e-7,0.004094718,0.17599978,0.7986949],"study_design_scores_gemma":[0.00036190607,0.0005142362,0.0015471176,0.0002784457,0.0000068081886,0.000006042252,0.0016621202,0.16032194,0.0000024123672,0.000008295585,0.8351524,0.0001383143],"about_ca_topic_score_codex":0.0052114306,"about_ca_topic_score_gemma":0.0028178915,"teacher_disagreement_score":0.9517994,"about_ca_system_score_codex":0.0007951266,"about_ca_system_score_gemma":0.0006152456,"threshold_uncertainty_score":0.96517724},"labels":[],"label_agreement":null},{"id":"W2802833075","doi":"10.2196/10073","title":"Online Decision Support Tool for Personalized Cancer Symptom Checking in the Community (REACT): Acceptability, Feasibility, and Usability Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute for Health and Care Research","keywords":"Usability; Medicine; Estimation; Cancer; Personalized medicine; Family medicine; Computer science; Bioinformatics","score_opus":0.08923845146923727,"score_gpt":0.4310765189466731,"score_spread":0.34183806747743584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802833075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930169,0.00054747233,0.000036191064,0.0011818191,0.00045236756,0.0042220857,0.0002817002,0.000047357877,0.00021412126],"genre_scores_gemma":[0.9957132,0.00010894729,0.00009397421,0.0016150472,0.00055215374,0.0016953341,0.000038381313,0.000030705432,0.0001522651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99764234,0.00040008096,0.0005008951,0.0005256951,0.00052715355,0.00040383052],"domain_scores_gemma":[0.99771506,0.0006815838,0.000120099634,0.0009944036,0.00037695532,0.00011187884],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022790432,0.0002732165,0.00056232786,0.00007813299,0.00031382038,0.000063893924,0.00034459349,0.00013296574,0.0013383651],"category_scores_gemma":[0.00031123435,0.00019051759,0.00016587313,0.00040851676,0.00043206348,0.00016484225,0.00021046677,0.00056891836,0.0000020548266],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016515219,0.0017723109,0.89862216,0.00021007065,0.000045662586,0.0000022146723,0.028032765,4.6759052e-7,0.000102476486,0.0000124271455,0.00059989357,0.06894804],"study_design_scores_gemma":[0.0044397917,0.0009781314,0.96305656,0.00011630523,0.00012946273,0.000006962798,0.016055351,0.000066149034,0.00008263692,0.0002670368,0.014586504,0.00021512192],"about_ca_topic_score_codex":0.017937358,"about_ca_topic_score_gemma":0.299622,"teacher_disagreement_score":0.28168464,"about_ca_system_score_codex":0.00071347266,"about_ca_system_score_gemma":0.0004057844,"threshold_uncertainty_score":0.99957454},"labels":[],"label_agreement":null},{"id":"W2806943717","doi":"10.2196/cancer.7952","title":"Use of Social Media in the Assessment of Relative Effectiveness: Explorative Review With Examples From Oncology","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Innovative Medicines Initiative; European Commission; European Federation of Pharmaceutical Industries and Associations","keywords":"Social media; Grey literature; Medicine; Systematic review; Meta-analysis; Psychology; MEDLINE; Internal medicine; Computer science; Political science","score_opus":0.3243515462512849,"score_gpt":0.5347736965341323,"score_spread":0.21042215028284744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806943717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98512197,0.0014708437,0.00005663494,0.0068996586,0.001302841,0.0033093132,0.000050701154,0.000012336533,0.0017756958],"genre_scores_gemma":[0.9914542,0.0023950038,0.00060698675,0.0002754079,0.0007933924,0.0044560055,0.000008762974,0.000007690094,0.0000025793045],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99682283,0.0022177591,0.00025363386,0.00015284152,0.0003948636,0.00015806539],"domain_scores_gemma":[0.98963857,0.009481018,0.00038699113,0.00010268631,0.00035911356,0.000031628548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011764927,0.00007379061,0.0003215983,0.000040552604,0.00013735455,0.000005819132,0.00015940658,0.00009361805,0.00021569816],"category_scores_gemma":[0.0014352207,0.000051111165,0.000031659245,0.0005922008,0.0008606254,0.00024262826,0.000014490226,0.00015376472,0.0000018465988],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000937419,0.00021304058,0.1175138,0.00027104217,0.00005109046,8.260258e-7,0.8347856,6.1354604e-7,0.0000753775,0.016912302,0.0013334866,0.028749079],"study_design_scores_gemma":[0.00027045005,0.00019707881,0.9254292,0.0010657095,0.000048743637,3.1797423e-8,0.027319152,0.0000010568428,0.00006906953,0.0014318385,0.044087846,0.00007980272],"about_ca_topic_score_codex":0.014951086,"about_ca_topic_score_gemma":0.07015931,"teacher_disagreement_score":0.8079154,"about_ca_system_score_codex":0.00055335247,"about_ca_system_score_gemma":0.0016786183,"threshold_uncertainty_score":0.99160844},"labels":[],"label_agreement":null},{"id":"W2808870606","doi":"10.2196/10676","title":"Exploring the Most Visible German Websites on Melanoma Immunotherapy: A Web-Based Analysis","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"German; Melanoma; The Internet; Immunotherapy; Medicine; Health literacy; Population; World Wide Web; German population; Computer science; Health care; Internal medicine; Geography; Cancer research; Environmental health; Political science; Cancer","score_opus":0.10434775499602725,"score_gpt":0.4684453943716795,"score_spread":0.3640976393756522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808870606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770639,0.000093102746,0.00028123346,0.0031531765,0.0007761293,0.00091287674,0.00007861733,0.00015290297,0.017488044],"genre_scores_gemma":[0.9667489,0.000078571255,0.00013654103,0.028134177,0.00072769256,0.0024361517,0.000030067793,0.000019339142,0.0016885755],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99769807,0.00041187002,0.000857324,0.0002442497,0.0002974216,0.0004910766],"domain_scores_gemma":[0.99805933,0.00039963704,0.0003927688,0.00072528835,0.00030925052,0.00011373867],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010845945,0.00016292786,0.0002663706,0.00025012932,0.0014291096,0.000041748484,0.00030680912,0.000086873486,0.010326781],"category_scores_gemma":[0.000053424617,0.00010081909,0.00011614958,0.0013825316,0.00008854546,0.00068792724,0.0000435187,0.00047866686,0.001399113],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012603791,0.00022556925,0.81394064,0.000561729,0.0004826417,0.0000013040229,0.02877119,0.00018023863,0.0005922989,0.0014594783,0.063935995,0.088588506],"study_design_scores_gemma":[0.0007218564,0.000083071885,0.36544415,0.00010901319,0.000025174048,4.3309704e-8,0.00034252336,0.010661091,0.00022374302,0.000034850385,0.62222034,0.00013415629],"about_ca_topic_score_codex":0.0006519008,"about_ca_topic_score_gemma":0.00087788847,"teacher_disagreement_score":0.55828434,"about_ca_system_score_codex":0.0002897515,"about_ca_system_score_gemma":0.0005450752,"threshold_uncertainty_score":0.9998709},"labels":[],"label_agreement":null},{"id":"W2888845521","doi":"10.2196/11369","title":"A bibliometric analysis of the research hotspots in the applications of internet searches in breast cancer patients (Preprint)","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Breast cancer; The Internet; Data science; Geography; Medicine; Cancer; Computer science; World Wide Web; Internal medicine","score_opus":0.19523358069444435,"score_gpt":0.52589042951797,"score_spread":0.3306568488235257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888845521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925163,0.0001599441,0.0000020471618,0.0040968694,0.00025302722,0.0019346186,0.000037227903,0.0000037057468,0.0009962798],"genre_scores_gemma":[0.9929108,0.00037278654,0.0000075514863,0.000066663975,0.00020447,0.006397556,0.0000012221994,0.0000045781317,0.000034342153],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99753016,0.0008052629,0.00029175775,0.00018613717,0.00090995146,0.00027671215],"domain_scores_gemma":[0.9974087,0.0013879387,0.00015902102,0.00025166766,0.000747917,0.00004474884],"candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0026480623,0.00004854276,0.0001514571,0.014854347,0.000121098084,0.000019203799,0.0006504313,0.00007488152,0.00034817954],"category_scores_gemma":[0.0007656218,0.000033433604,0.00005374568,0.21476996,0.00073240924,0.0000777008,0.000079288395,0.0002324318,0.0000042903334],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015726746,0.00016125863,0.8911802,0.000022533712,0.000019098256,1.3414898e-8,0.064730726,0.0000046566174,0.000010958292,0.00021951916,0.00046474568,0.04317057],"study_design_scores_gemma":[0.000092776914,0.000012893776,0.99289614,0.00004930033,0.000012493072,6.968522e-9,0.00479217,0.000034398297,0.00003558719,0.00017766136,0.0018655119,0.000031065465],"about_ca_topic_score_codex":0.2881982,"about_ca_topic_score_gemma":0.19385833,"teacher_disagreement_score":0.1999156,"about_ca_system_score_codex":0.00060735556,"about_ca_system_score_gemma":0.0008182359,"threshold_uncertainty_score":0.9963114},"labels":[],"label_agreement":null},{"id":"W2888895094","doi":"10.2196/10529","title":"Association Between Adherence to Cancer Screening and Knowledge of Screening Guidelines: Feasibility Study Linking Self-Reported Survey Data With Medical Records","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"East Wellington Family Health Team; Institute for Clinical Evaluative Sciences; Public Health Ontario; University Health Network; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Family medicine; Medical record; MEDLINE; Cancer screening; Breast cancer; Cancer; Internal medicine","score_opus":0.3892269921417364,"score_gpt":0.5108605114029473,"score_spread":0.12163351926121091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888895094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921837,0.00077384687,0.00403436,0.00065025553,0.00022091367,0.001510589,0.00024096247,0.0001162799,0.00026909413],"genre_scores_gemma":[0.99061674,0.00012159086,0.0068423157,0.00044241638,0.0013929037,0.0001554099,0.00011871894,0.000040511022,0.00026936966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959027,0.00027708733,0.0010191347,0.0009825475,0.0013073669,0.00051114266],"domain_scores_gemma":[0.9951593,0.00040212425,0.00060409226,0.00093468366,0.0024431257,0.0004566734],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004800435,0.00030417438,0.0008047108,0.00014231468,0.00019414884,0.00004892552,0.0004821274,0.00022564517,0.0003106629],"category_scores_gemma":[0.0024420917,0.0002496567,0.00004784535,0.0010689469,0.000104426406,0.00033010414,0.0005216929,0.0004341207,0.0000042904835],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006131641,0.000109683446,0.92544115,0.00006925261,0.0007916783,0.000010819985,0.0012754904,0.0000047688072,0.000028410883,2.5716554e-7,0.0047939536,0.0668614],"study_design_scores_gemma":[0.0023702164,0.0015970973,0.9880941,0.0026921004,0.0006171737,0.000007892299,0.00076561276,0.0013812499,0.00010733895,0.0000023000946,0.0020722551,0.00029269696],"about_ca_topic_score_codex":0.042849153,"about_ca_topic_score_gemma":0.122703776,"teacher_disagreement_score":0.07985462,"about_ca_system_score_codex":0.0004033219,"about_ca_system_score_gemma":0.0013683368,"threshold_uncertainty_score":0.9999956},"labels":[],"label_agreement":null},{"id":"W2888992843","doi":"10.2196/11102","title":"Assessing Preference Shift and Effects on Patient Knowledge and Decisional Conflict: Cross-Sectional Study of an Interactive Prostate-Specific Antigen Test Patient Decision Aid","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preference; Test (biology); Prostate-specific antigen; Cross-sectional study; Psychology; Medicine; Prostate cancer; Internal medicine; Statistics; Pathology; Biology; Mathematics; Cancer","score_opus":0.2193615872254658,"score_gpt":0.5023357014858612,"score_spread":0.2829741142603953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888992843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99334383,0.0012460297,0.000015876718,0.00004482386,0.0011003731,0.0037353393,0.00011027628,0.000052276286,0.0003511772],"genre_scores_gemma":[0.9972339,0.00010540387,0.00060428935,0.00022780444,0.00017343662,0.0015777412,0.000025863552,0.000036970836,0.0000145483555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99660635,0.0007992621,0.00097033416,0.00069487304,0.0005472969,0.00038185754],"domain_scores_gemma":[0.99341226,0.003959977,0.0006569172,0.00067935255,0.0010398024,0.00025168472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025360403,0.00026710806,0.00035625478,0.00022431625,0.0011661095,0.00007772896,0.0002368918,0.00018983796,0.00012414686],"category_scores_gemma":[0.0003817555,0.00022413555,0.00002975895,0.00026549443,0.00022157117,0.000608205,0.00048683857,0.0006582103,0.000027308246],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001284593,0.000863511,0.85732317,0.0001358875,0.000018344275,0.0000015286606,0.06508056,0.0000059094823,0.0002869204,0.00002978377,0.00020604592,0.07476373],"study_design_scores_gemma":[0.0025202497,0.00475811,0.97822356,0.0011896538,0.0000056325453,0.0000011133206,0.005579027,0.0002958281,0.00044430947,0.00020678641,0.0065640085,0.00021173457],"about_ca_topic_score_codex":0.00043694398,"about_ca_topic_score_gemma":0.0008122843,"teacher_disagreement_score":0.12090036,"about_ca_system_score_codex":0.00038612884,"about_ca_system_score_gemma":0.0003808781,"threshold_uncertainty_score":0.91399825},"labels":[],"label_agreement":null},{"id":"W2889923260","doi":"10.2196/11373","title":"Web-Based Patient-Reported Outcomes Using the International Consortium for Health Outcome Measurement Dataset in a Major German University Hospital: Observational Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Observational study; German; Outcome (game theory); Web application; Medicine; Family medicine; Medical education; Computer science; World Wide Web; History; Internal medicine","score_opus":0.16295795078754002,"score_gpt":0.416074719856284,"score_spread":0.25311676906874403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889923260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840497,0.000042770112,0.00014493182,0.011171411,0.0011119854,0.0019782598,0.0014445108,0.00002869652,0.000027743325],"genre_scores_gemma":[0.9938905,0.0000018315188,0.00009107369,0.0052634054,0.0001415926,0.00019117403,0.0003243613,0.000015011886,0.000081037186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984988,0.000056376313,0.00035155748,0.00028067254,0.00060508196,0.0002075184],"domain_scores_gemma":[0.99895865,0.000040503437,0.00023253195,0.0003107802,0.00038029402,0.000077270175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042284667,0.00013150061,0.00024504124,0.00010052395,0.00013298467,0.00001865566,0.00015309111,0.00003404662,0.00019095346],"category_scores_gemma":[0.00005140852,0.00010143335,0.0000763494,0.00019045685,0.00007296333,0.0000821787,0.000051510833,0.00010813835,0.0000017976314],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043070488,0.00038880284,0.9855836,0.00003493605,0.00014449224,0.000010797606,0.0010756308,0.000010100906,0.000059114238,0.000019184497,0.011676928,0.0005657168],"study_design_scores_gemma":[0.005046357,0.00037708395,0.86431485,0.000063280706,0.00007394768,0.0000011429779,0.0016034676,0.0007919105,0.0000406923,0.000005294428,0.12754919,0.00013281402],"about_ca_topic_score_codex":0.0052153184,"about_ca_topic_score_gemma":0.038855065,"teacher_disagreement_score":0.121268764,"about_ca_system_score_codex":0.0011748248,"about_ca_system_score_gemma":0.000892415,"threshold_uncertainty_score":0.97868335},"labels":[],"label_agreement":null},{"id":"W2890951185","doi":"10.2196/10296","title":"Novel mHealth App to Deliver Geriatric Assessment-Driven Interventions for Older Adults With Cancer: Pilot Feasibility and Usability Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Frailty in Older Adults","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Usability; mHealth; Psychological intervention; Mobile apps; Medicine; Computer science; Psychology; Gerontology; World Wide Web; Human–computer interaction; Nursing","score_opus":0.07174438746690277,"score_gpt":0.4257333911342641,"score_spread":0.35398900366736136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890951185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98294574,0.00032353256,0.003611925,0.0019746264,0.00040589203,0.010098529,0.00039908758,0.000110929366,0.00012976084],"genre_scores_gemma":[0.98762107,0.000049403174,0.0053432654,0.00057696516,0.00054564886,0.005048,0.000019911358,0.00004741526,0.00074834446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977451,0.000058774345,0.00047553403,0.00088692614,0.00037074674,0.00046293452],"domain_scores_gemma":[0.99800694,0.00009441634,0.00016975458,0.00063442066,0.0007199147,0.00037454226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032554346,0.00027718334,0.00052172446,0.00012938066,0.00020062199,0.000036260655,0.00015602956,0.000067127265,0.0005089604],"category_scores_gemma":[0.00006801617,0.0002221611,0.00010355474,0.00042703192,0.00017861865,0.00015551655,0.000115047944,0.00021265836,0.000007631811],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037312529,0.004897966,0.9290142,0.0021893224,0.00027032185,0.0000027188073,0.0042992895,0.000016590557,0.00034178304,0.00001303256,0.007034811,0.0481887],"study_design_scores_gemma":[0.011705658,0.007089039,0.977528,0.0010077071,0.00026994935,0.000007312201,0.0008545367,0.0004067587,0.000052147887,0.000006981349,0.0008258856,0.00024605653],"about_ca_topic_score_codex":0.005587726,"about_ca_topic_score_gemma":0.038728867,"teacher_disagreement_score":0.048513755,"about_ca_system_score_codex":0.00096453365,"about_ca_system_score_gemma":0.00038980975,"threshold_uncertainty_score":0.9788118},"labels":[],"label_agreement":null},{"id":"W2895794026","doi":"10.2196/11556","title":"Evaluation and Implementation of ListeningTime: A Web-Based Preparatory Communication Tool for Elderly Patients With Cancer and Their Health Care Providers","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Coping (psychology); Health care; Medicine; Web application; Health communication; Nursing; Psychology; World Wide Web; Computer science; Clinical psychology; Communication","score_opus":0.09593989235550877,"score_gpt":0.47738534412569494,"score_spread":0.3814454517701862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895794026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97591716,0.009068352,0.000057485075,0.0030373055,0.00014224813,0.011015929,0.0006300814,0.00005852327,0.0000728954],"genre_scores_gemma":[0.98130643,0.00017764697,0.0015622154,0.001232038,0.000060519174,0.015320892,0.00028925078,0.000036171125,0.000014851186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99762267,0.0007909856,0.00061831996,0.00031970892,0.00033336453,0.00031497187],"domain_scores_gemma":[0.9952811,0.00032970094,0.00091358693,0.0006173018,0.0027605295,0.00009775144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048642972,0.00017677207,0.00027175437,0.000109303575,0.00089906785,0.000013795446,0.00016247926,0.0001080374,0.000092300055],"category_scores_gemma":[0.00006543078,0.00014665534,0.000026075391,0.0001738816,0.0001871831,0.00026152495,0.000079185294,0.00019100388,7.8160815e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062780484,0.00005638839,0.57559484,0.002108664,0.00007222013,6.4367973e-9,0.09466914,0.000014694687,0.00007524361,0.0000679668,0.004776947,0.3219361],"study_design_scores_gemma":[0.021196349,0.0032680607,0.8747597,0.0026308566,0.00016898476,1.2847485e-7,0.059395798,0.005291972,0.00051397557,0.00019584507,0.032017525,0.00056082435],"about_ca_topic_score_codex":0.004108583,"about_ca_topic_score_gemma":0.024502186,"teacher_disagreement_score":0.32137528,"about_ca_system_score_codex":0.0008139553,"about_ca_system_score_gemma":0.0035235856,"threshold_uncertainty_score":0.9932981},"labels":[],"label_agreement":null},{"id":"W2896038593","doi":"10.2196/10031","title":"Reliability of Cancer Treatment Information on the Internet: Observational Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cancer; Medicine; Reliability (semiconductor); Rating scale; Family medicine; Observational study; Medical physics; Psychology; Internal medicine","score_opus":0.1844483951109807,"score_gpt":0.5295343874005328,"score_spread":0.3450859922895521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896038593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98499167,0.000015282467,0.00005542934,0.002356934,0.0008100558,0.0026456416,0.00013393258,0.00003713356,0.008953901],"genre_scores_gemma":[0.9876489,0.000017539596,0.000037877333,0.0072897463,0.00032148452,0.0035407536,0.000020075304,0.0000048814945,0.0011187425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979179,0.00032365575,0.0011281323,0.00012346367,0.00028542144,0.00022141001],"domain_scores_gemma":[0.9978164,0.00033775406,0.00061151077,0.0004042166,0.0007691501,0.00006098056],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009475941,0.00011334298,0.00017696527,0.000051898118,0.00036483427,0.000011106654,0.00017193636,0.00007950975,0.0069131497],"category_scores_gemma":[0.0001887008,0.00006126232,0.000043347904,0.0002351014,0.000082284234,0.00084210973,0.00004705691,0.0002197269,0.00029034118],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031030382,0.00020315516,0.92893845,0.0001266788,0.00001945898,1.8541071e-8,0.036065422,0.0000147780665,0.0000036678994,0.0013480112,0.014804795,0.018165238],"study_design_scores_gemma":[0.00055619556,0.00028346735,0.76636225,0.00009426079,0.0000059478034,1.1568564e-8,0.0016858833,0.0011237452,0.00006116264,0.00011503485,0.22966057,0.000051457508],"about_ca_topic_score_codex":0.0057869414,"about_ca_topic_score_gemma":0.0016308979,"teacher_disagreement_score":0.21485578,"about_ca_system_score_codex":0.0006728653,"about_ca_system_score_gemma":0.0006351613,"threshold_uncertainty_score":0.99399465},"labels":[],"label_agreement":null},{"id":"W2896114600","doi":"10.2196/11195","title":"A Rapid Process for Identifying and Prioritizing Technology-Based Tools for Health System Implementation","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Process management; Computer science; Data science; Risk analysis (engineering); Systems engineering; Engineering; Business","score_opus":0.187217541196077,"score_gpt":0.5812564994321238,"score_spread":0.39403895823604673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896114600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83958006,0.008662798,0.052644096,0.0326395,0.004969948,0.058764704,0.0008991661,0.0014179387,0.0004217884],"genre_scores_gemma":[0.9473746,0.00005522942,0.002310869,0.0021447076,0.0014980522,0.046361562,0.00004075936,0.00007133907,0.00014289851],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974598,0.00013975984,0.0007929059,0.00042695078,0.00015784502,0.0010227029],"domain_scores_gemma":[0.9981935,0.00035583295,0.00060747744,0.00021926695,0.00048478556,0.00013915132],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014158709,0.000162826,0.00039539216,0.00021634746,0.0014514935,0.000027451135,0.00012546954,0.00020602283,0.000027785156],"category_scores_gemma":[0.0000893569,0.00015605496,0.000044931414,0.0003059656,0.000047529884,0.00020372841,0.000023692997,0.00023828504,0.000008205305],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008700229,0.00006874686,0.026187737,0.11208572,0.00013668965,9.0864063e-7,0.01582587,0.0000012326316,0.003771942,0.011540825,0.030723972,0.79878634],"study_design_scores_gemma":[0.015665362,0.003155019,0.004919637,0.011743245,0.00007742895,0.000009055985,0.06613237,0.0048969076,0.0031626131,0.0010356896,0.88834906,0.00085360865],"about_ca_topic_score_codex":0.00034145097,"about_ca_topic_score_gemma":0.0028609799,"teacher_disagreement_score":0.85762507,"about_ca_system_score_codex":0.001509843,"about_ca_system_score_gemma":0.0030504633,"threshold_uncertainty_score":0.9998485},"labels":[],"label_agreement":null},{"id":"W2897038974","doi":"10.2196/cancer.9918","title":"Barriers and Facilitators of Using Sensored Medication Adherence Devices in a Diverse Sample of Patients With Multiple Myeloma: Qualitative Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Pill; Family medicine; Medication adherence; Qualitative research; Phone; Demographics; Medical record; Adverse effect; Medical prescription; Nursing; Internal medicine","score_opus":0.046539164710991794,"score_gpt":0.3979057496364768,"score_spread":0.351366584925485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897038974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99844724,0.00005495564,0.000025668955,0.000012376975,0.00002054064,0.0011256486,0.00029439837,0.0000057605853,0.000013387157],"genre_scores_gemma":[0.9989914,0.0000058284504,0.0008501509,0.000008480181,0.0000108281265,0.00009996,0.00001737422,0.000007532558,0.0000085048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889535,0.00012688692,0.00021905237,0.00021028485,0.0003895613,0.00015889436],"domain_scores_gemma":[0.99910784,0.00017925973,0.00013618899,0.00014351038,0.00029680497,0.00013639024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014832072,0.0001004763,0.00025980346,0.00012861373,0.000039734183,0.000002782151,0.000042780208,0.000032551317,0.00011581041],"category_scores_gemma":[0.00028909653,0.000072020106,0.000017810471,0.00023753429,0.00030554566,0.000089486835,0.000032418407,0.000057429974,8.291911e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015766431,0.00022684514,0.9480552,0.00010579273,0.0001314788,0.000002787565,0.046539415,0.0000014251664,0.00026658832,0.0000012292868,0.00000719791,0.0030853716],"study_design_scores_gemma":[0.0070753885,0.0012699331,0.9454339,0.00016032008,0.000038849903,1.6144952e-7,0.04497358,0.00036569673,0.00060010527,0.000005587678,0.000014840746,0.000061644416],"about_ca_topic_score_codex":0.009303938,"about_ca_topic_score_gemma":0.005588792,"teacher_disagreement_score":0.0054987455,"about_ca_system_score_codex":0.0001000837,"about_ca_system_score_gemma":0.00015723692,"threshold_uncertainty_score":0.9972932},"labels":[],"label_agreement":null},{"id":"W2897291870","doi":"10.2196/11978","title":"An Interactive Web Portal for Tracking Oncology Patient Physical Activity and Symptoms: Prospective Cohort Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Physical activity; Psychological intervention; Medicine; Prospective cohort study; Cohort; Activity tracker; Physical therapy; Tracking (education); Oncology; Internal medicine; Psychology; Nursing","score_opus":0.016024553397870903,"score_gpt":0.38215218783017724,"score_spread":0.36612763443230634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897291870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942942,0.000033014745,0.0000258027,0.00013740253,0.00057586696,0.0029988773,0.000061387305,0.00006117279,0.0018122623],"genre_scores_gemma":[0.99595004,0.0000040371797,0.000007857573,0.00017980314,0.0010978377,0.0026171906,0.0000066525267,0.000028100674,0.00010845245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989632,0.000049643324,0.000109790475,0.0004616589,0.0001940538,0.00022169227],"domain_scores_gemma":[0.9992087,0.000059370926,0.000102453756,0.00020281017,0.00029799246,0.00012869887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008154048,0.00016093146,0.00037265386,0.000051883544,0.00009412505,0.000021096785,0.00004572155,0.00006577452,0.00008589984],"category_scores_gemma":[0.000016023228,0.00013470884,0.00006795295,0.00010936757,0.00013373424,0.00018877444,0.000030676958,0.00018867048,0.0000024366598],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032663085,0.002487059,0.7609148,0.000041372215,0.00036139516,0.000022464246,0.033198643,4.4916985e-7,0.0042468193,0.00002871535,0.00039011802,0.19504184],"study_design_scores_gemma":[0.002383776,0.01307762,0.96739846,0.00006100456,0.00023789956,0.0000148670615,0.006519949,0.0005192485,0.004696149,0.00003244693,0.0048525166,0.00020605723],"about_ca_topic_score_codex":0.0007367811,"about_ca_topic_score_gemma":0.010323173,"teacher_disagreement_score":0.20648365,"about_ca_system_score_codex":0.0004033244,"about_ca_system_score_gemma":0.00023946549,"threshold_uncertainty_score":0.5760573},"labels":[],"label_agreement":null},{"id":"W2898714813","doi":"10.2196/11395","title":"Impact of Electronic Self-Assessment and Self-Care Technology on Adherence to Clinician Recommendations and Self-Management Activity for Cancer Treatment–Related Symptoms: Secondary Analysis of a Randomized Controlled Trial","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Nursing Research; National Institutes of Health","keywords":"Self-management; Distress; Coaching; Medicine; Quality of life (healthcare); Randomized controlled trial; Intervention (counseling); Physical therapy; Clinical psychology; Psychiatry; Psychology; Psychotherapist; Nursing; Internal medicine","score_opus":0.011837439058221662,"score_gpt":0.3894428801915599,"score_spread":0.37760544113333827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898714813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98754334,0.0013684481,0.00004762151,0.00055301056,0.0002520247,0.009365489,0.00025092525,0.00009954776,0.00051957805],"genre_scores_gemma":[0.98573655,0.0036339653,0.00019083286,0.00008133323,0.00009307,0.01010346,0.00003284217,0.000025071962,0.00010286913],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99812615,0.00017491914,0.0006594124,0.00050017954,0.00019421539,0.00034511366],"domain_scores_gemma":[0.9982431,0.0003596394,0.0005301815,0.0003623628,0.0003817753,0.00012291913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038342536,0.0002950944,0.002228024,0.00073932356,0.00009933729,0.000014648189,0.00008310452,0.00018376928,0.0002917677],"category_scores_gemma":[0.000018333269,0.00021402311,0.00066041143,0.0009466722,0.00009319064,0.00005586334,0.00003969744,0.00015610547,4.5017757e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.7900941,0.0020903226,0.022228906,0.00028046622,0.060632806,0.000001712546,0.0077453586,0.000021266278,0.00020008422,0.00036405903,0.0001526949,0.116188265],"study_design_scores_gemma":[0.93998855,0.015951088,0.018843232,0.00024877457,0.02012518,9.2933556e-7,0.0007665157,0.0018544259,0.00031845373,0.0000677698,0.0015453779,0.00028967383],"about_ca_topic_score_codex":0.0014523995,"about_ca_topic_score_gemma":0.008813387,"teacher_disagreement_score":0.14989452,"about_ca_system_score_codex":0.0014259288,"about_ca_system_score_gemma":0.0009618046,"threshold_uncertainty_score":0.87276095},"labels":[],"label_agreement":null},{"id":"W2899013919","doi":"10.2196/10932","title":"Usability Evaluation of a Mobile Phone–Based System for Remote Monitoring and Management of Chemotherapy-Related Side Effects in Cancer Patients: Mixed-Methods Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Princess Margaret Cancer Centre; Public Health Ontario; University of Waterloo; University of Toronto; University Health Network","funders":"","keywords":"Usability; Thematic analysis; eHealth; mHealth; Mobile phone; Medicine; Test (biology); User experience design; Applied psychology; Qualitative research; Psychology; Medical education; Health care; Nursing; Computer science; Human–computer interaction","score_opus":0.024119574566635462,"score_gpt":0.41087159074886415,"score_spread":0.3867520161822287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899013919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99137926,0.0014445299,0.0002245039,0.000017086244,0.0009913067,0.0057678367,0.000018006713,0.000020516649,0.00013693432],"genre_scores_gemma":[0.99638116,0.000047272406,0.0007167032,0.000012421462,0.000085585416,0.0027050858,0.0000036336169,0.000024038989,0.000024080058],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99843264,0.0002474633,0.00041793837,0.00032144113,0.00041352535,0.00016698074],"domain_scores_gemma":[0.99880105,0.00011122634,0.0002066419,0.0002899715,0.00054178305,0.00004931355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012208167,0.00014291979,0.00042223962,0.000101958656,0.000027736744,0.0000044142726,0.00005878333,0.00007314229,0.000023418646],"category_scores_gemma":[0.000028779657,0.00012723738,0.00006684631,0.0003546365,0.000069785296,0.000041669937,0.000025145024,0.00006710716,2.6133586e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012020405,0.0006250054,0.2853283,0.00610055,0.0002675613,5.7983954e-7,0.005630808,0.00015358061,0.004042664,0.000002151007,0.000021604488,0.6966252],"study_design_scores_gemma":[0.014839018,0.001591689,0.88349926,0.0036426487,0.0005669882,1.6497566e-7,0.004559824,0.0061992654,0.08473868,0.000023082288,0.00015831308,0.00018108092],"about_ca_topic_score_codex":0.0035323512,"about_ca_topic_score_gemma":0.0013890914,"teacher_disagreement_score":0.6964441,"about_ca_system_score_codex":0.0006909461,"about_ca_system_score_gemma":0.00010664959,"threshold_uncertainty_score":0.5339882},"labels":[],"label_agreement":null},{"id":"W2899028980","doi":"10.2196/10447","title":"Self-Care Behaviors of Ovarian Cancer Patients Before Their Diagnosis: Proof-of-Concept Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; Imperial Experimental Cancer Medicine Centre; Ovarian Cancer Action; National Institute for Health and Care Research; Center for Depression Research and Clinical Care, University of Texas Southwestern Medical Center; NIHR Imperial Biomedical Research Centre; Cancer Research UK","keywords":"Medicine; Medical diagnosis; Family medicine; Cancer; Qualitative research; Test (biology); Disease; Public health; Qualitative property; Focus group; Breast cancer; Nursing; Internal medicine; Pathology; Business; Marketing","score_opus":0.010763262404618798,"score_gpt":0.30559947695459727,"score_spread":0.2948362145499785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899028980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995432,0.0019213917,0.000018105653,0.000049460534,0.0006212062,0.0013030973,0.00046842438,0.000014632569,0.0001716863],"genre_scores_gemma":[0.9961408,0.000045633144,0.00021646627,0.00008322237,0.00049218995,0.0028381085,0.000066088134,0.000043290875,0.000074207965],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987506,0.000053424203,0.0003339769,0.00041405373,0.00021533851,0.00023255922],"domain_scores_gemma":[0.9985286,0.000005465295,0.00025285746,0.00047197315,0.00068257697,0.000058525864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005352832,0.00020237199,0.00022946233,0.000055841654,0.00007455506,0.000008521926,0.0003096409,0.0001470214,0.0002092786],"category_scores_gemma":[0.000012517808,0.00017690286,0.00010077014,0.00021494953,0.00017783191,0.000007737134,0.00013790818,0.00007865851,0.0000011835557],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009675378,0.0009697741,0.92110306,0.0000963811,0.00029701839,4.842757e-7,0.01667857,0.000056890087,0.002456473,0.0000045836036,0.0028048223,0.055435177],"study_design_scores_gemma":[0.0017853618,0.0024128607,0.25518674,0.000090858506,0.00014743667,3.356297e-7,0.0024524403,0.000008755144,0.7172748,0.000012998536,0.02032048,0.00030695926],"about_ca_topic_score_codex":0.00031243515,"about_ca_topic_score_gemma":0.0019428558,"teacher_disagreement_score":0.7148183,"about_ca_system_score_codex":0.00015366572,"about_ca_system_score_gemma":0.00041095095,"threshold_uncertainty_score":0.72138894},"labels":[],"label_agreement":null},{"id":"W2899037941","doi":"10.2196/11073","title":"How to Optimize Health Messages About Cancer on Facebook: Mixed-Methods Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Operationalization; Life expectancy; Solidarity; Theme (computing); Health communication; Health promotion; Cancer prevention; Social media; Psychology; Cancer; Medicine; Computer science; Public relations; World Wide Web; Public health; Political science; Nursing; Environmental health","score_opus":0.14965156417659345,"score_gpt":0.5687355756485787,"score_spread":0.41908401147198526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899037941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5985915,0.0027885984,0.0011048904,0.29206136,0.064819135,0.027880706,0.00006911733,0.0005809935,0.012103708],"genre_scores_gemma":[0.88527745,0.0015303363,0.009437477,0.011556424,0.01769012,0.067841105,0.000003219687,0.00009930651,0.0065645403],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99648565,0.0012960066,0.00027860925,0.00051512406,0.00065467495,0.00076994207],"domain_scores_gemma":[0.9977558,0.0008093544,0.0002343616,0.00033085208,0.00031643696,0.0005531547],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018828632,0.00019150891,0.00035824184,0.00013508895,0.0010704615,0.00015763154,0.00038952354,0.00013058186,0.0010445899],"category_scores_gemma":[0.0010216101,0.00018677245,0.000056159923,0.00070513814,0.00025988647,0.00016403427,0.000050615585,0.00023660119,0.0000929287],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051966468,0.00018014618,0.013977703,0.000030520176,0.00002839832,4.4602274e-7,0.22652858,0.000016501901,0.000021797801,0.00044929897,0.041781347,0.7169333],"study_design_scores_gemma":[0.0003967314,0.0004853956,0.12982474,0.00012267793,0.000013215953,4.819825e-8,0.052624345,0.000010245388,0.00018778222,0.00009543771,0.815963,0.00027641313],"about_ca_topic_score_codex":0.05128058,"about_ca_topic_score_gemma":0.09548101,"teacher_disagreement_score":0.7741816,"about_ca_system_score_codex":0.0017881916,"about_ca_system_score_gemma":0.0020142063,"threshold_uncertainty_score":0.9998686},"labels":[],"label_agreement":null},{"id":"W2900645200","doi":"10.2196/10883","title":"Exploring the Experiences of Cancer Patients With Chemotherapy-Induced Ototoxicity: Qualitative Study Using Online Health Care Forums","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Hearing, Cochlea, Tinnitus, Genetics","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute for Health and Care Research; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research","keywords":"Ototoxicity; Tinnitus; Thematic analysis; Medicine; Audiology; Quality of life (healthcare); Hearing loss; Population; Audiologist; Health care; Family medicine; Intensive care medicine; Qualitative research; Psychology; Chemotherapy; Nursing; Internal medicine","score_opus":0.2086326006627826,"score_gpt":0.4520119006746535,"score_spread":0.2433793000118709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900645200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972004,0.00009860513,0.000019775563,0.00019283275,0.00050248846,0.0018682899,0.00004380117,0.000043238608,0.000030566636],"genre_scores_gemma":[0.9976046,0.000040836698,0.00016459331,0.0011036418,0.0002583877,0.0007493587,0.0000010023457,0.000051526902,0.000026018342],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9975067,0.00030828884,0.00040436874,0.00054932735,0.0007194179,0.00051190174],"domain_scores_gemma":[0.99867755,0.000097690776,0.00038144563,0.00043579916,0.00029851103,0.00010901672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017786428,0.00024497663,0.00033120863,0.00009019055,0.00041049544,0.000042073665,0.00040504467,0.000033033484,0.00006525847],"category_scores_gemma":[0.000059836708,0.0001658073,0.000044702367,0.00067474775,0.0003250778,0.00022611332,0.00011662097,0.00019216606,0.0000017590771],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017471044,0.0003284651,0.010428595,0.00003975544,0.00002073736,6.1250273e-7,0.969039,0.000033105815,0.011371069,0.000005075781,0.000022403554,0.008536464],"study_design_scores_gemma":[0.0016162678,0.0022071754,0.04014436,0.00023061279,0.000014747283,3.888053e-7,0.73371637,0.00014805989,0.2210906,0.000004261211,0.00047175022,0.00035542552],"about_ca_topic_score_codex":0.0032639366,"about_ca_topic_score_gemma":0.0041997773,"teacher_disagreement_score":0.23532265,"about_ca_system_score_codex":0.00034480524,"about_ca_system_score_gemma":0.0004914306,"threshold_uncertainty_score":0.6761426},"labels":[],"label_agreement":null},{"id":"W2901612710","doi":"10.2196/10703","title":"A Novel Mobile Phone App (OncoFood) to Record and Optimize the Dietary Behavior of Oncologic Patients: Pilot Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hector Stiftung II; Hector Stiftung","keywords":"Mobile apps; Mobile phone; Phone; Computer science; Psychology; Medicine; Human–computer interaction; Internet privacy; Multimedia; World Wide Web; Telecommunications","score_opus":0.09665135978755178,"score_gpt":0.41057857444812523,"score_spread":0.31392721466057344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901612710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947632,0.00018338337,0.00002004778,0.0009383549,0.000390136,0.0030235937,0.000031664822,0.00003278344,0.00061681325],"genre_scores_gemma":[0.9912404,0.00008425655,0.00185549,0.0033361374,0.00032995167,0.0027389212,0.0000037022357,0.0000147718965,0.00039640276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991452,0.000027493812,0.0002615974,0.00020439409,0.00018045558,0.00018083217],"domain_scores_gemma":[0.99934876,0.00004111308,0.00009122972,0.0002112629,0.00018420258,0.00012345545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014948293,0.00009782655,0.00025459626,0.000056918718,0.00009799033,0.0000063223856,0.00006875587,0.000027407845,0.00044570098],"category_scores_gemma":[0.000016596623,0.00006449075,0.000022868744,0.00018321216,0.0000923808,0.0000316984,0.00006219053,0.00013013017,0.000015610825],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006061081,0.020087484,0.74071026,0.000428455,0.00012046097,0.00001228045,0.009333401,0.0000044712187,0.015068873,0.000007839088,0.04570738,0.16245803],"study_design_scores_gemma":[0.0078082066,0.026531825,0.93754137,0.00022328584,0.00013217606,0.0000045375555,0.0017464374,0.000029682695,0.00038072068,0.000006640409,0.025448343,0.00014675902],"about_ca_topic_score_codex":0.00063495454,"about_ca_topic_score_gemma":0.0005245994,"teacher_disagreement_score":0.19683115,"about_ca_system_score_codex":0.000105353625,"about_ca_system_score_gemma":0.000068680485,"threshold_uncertainty_score":0.4880113},"labels":[],"label_agreement":null},{"id":"W2901669534","doi":"10.2196/10530","title":"Investigation of Radiation Oncologists’ Awareness of Online Reputation Management","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reputation; Reputation management; Knowledge management; Business; Computer science; Political science","score_opus":0.16353050947748268,"score_gpt":0.5135894400119062,"score_spread":0.3500589305344235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901669534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951692,0.000081918864,0.00049803173,0.0007707467,0.0013073222,0.0011216054,0.00009873657,0.000046015393,0.0009063868],"genre_scores_gemma":[0.9972674,0.00013942966,0.00088297436,0.0004039807,0.00029804508,0.0005448156,0.00011153138,0.000012357674,0.00033943195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849886,0.00027450046,0.0006388946,0.00017643064,0.0002499871,0.00016130047],"domain_scores_gemma":[0.9983516,0.00012844914,0.0007955538,0.00021814753,0.00045438512,0.0000518815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002495285,0.000076465185,0.00017645776,0.00014727897,0.00016495812,9.0037435e-7,0.000073174466,0.00012866303,0.00038541888],"category_scores_gemma":[0.00005754971,0.00007393869,0.000026587715,0.00033924863,0.000109028275,0.00011796994,0.000034975244,0.00013153467,0.000019454897],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070294394,0.000010977558,0.9606084,0.000882274,0.00001737739,1.7389063e-7,0.003220997,0.00005474524,0.0004682246,0.00080879574,0.0026355912,0.031222146],"study_design_scores_gemma":[0.0005680402,0.00013476257,0.99225134,0.0004097963,0.000015081082,6.916405e-8,0.0010585632,0.00037709897,0.0018454525,0.0008642288,0.002412134,0.000063452135],"about_ca_topic_score_codex":0.0018279752,"about_ca_topic_score_gemma":0.0011490227,"teacher_disagreement_score":0.031642918,"about_ca_system_score_codex":0.00043661534,"about_ca_system_score_gemma":0.00037235877,"threshold_uncertainty_score":0.42200664},"labels":[],"label_agreement":null},{"id":"W2902230431","doi":"10.2196/11779","title":"A Smartphone App to Support Carers of People Living With Cancer: A Feasibility and Usability Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Usability; Smartphone app; Psychological intervention; Smartphone application; Psychology; Internet privacy; Mobile apps; Nursing; Medicine; Applied psychology; World Wide Web; Human–computer interaction; Computer science; Multimedia","score_opus":0.025928836082190633,"score_gpt":0.3384959606631024,"score_spread":0.31256712458091174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902230431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964,0.00032442185,0.000018657533,0.00034018303,0.00037410026,0.001720442,0.00008163509,0.00005240868,0.00068816065],"genre_scores_gemma":[0.99786365,0.000037855003,0.00004038591,0.00037088196,0.0003488973,0.00084143033,0.000002241352,0.000025794616,0.00046884685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984647,0.000056029206,0.00025796692,0.0005323719,0.00039341304,0.0002955309],"domain_scores_gemma":[0.9986655,0.000054994314,0.00008586291,0.00054572185,0.00038782333,0.00026010344],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003050762,0.00018837278,0.00049766706,0.000070909344,0.000072200724,0.000014595892,0.00009117791,0.000056669047,0.0011171245],"category_scores_gemma":[0.000044070217,0.00014861109,0.0000584268,0.000514075,0.00017763731,0.000068938745,0.000094073,0.00013242631,0.000004344201],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000854283,0.00030047056,0.95007265,0.00029709956,0.00007820228,0.0000022649037,0.03788077,0.0000013569761,0.00052852917,0.0000012393047,0.0010658662,0.0089173],"study_design_scores_gemma":[0.0012733198,0.002736469,0.98230016,0.00022525484,0.00012731462,0.000005702351,0.010278836,0.0000063615303,0.0004667288,0.0000026121504,0.0024013591,0.00017589542],"about_ca_topic_score_codex":0.04438332,"about_ca_topic_score_gemma":0.4191073,"teacher_disagreement_score":0.37472397,"about_ca_system_score_codex":0.00039137717,"about_ca_system_score_gemma":0.00052551297,"threshold_uncertainty_score":0.999796},"labels":[],"label_agreement":null},{"id":"W2904280049","doi":"10.2196/10813","title":"Adaptation and Implementation of a Mobile Phone–Based Remote Symptom Monitoring System for People With Cancer in Europe","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Commission","keywords":"Multinational corporation; Mobile phone; Medicine; Psychological intervention; Randomized controlled trial; Health care; Clinical trial; Adaptation (eye); Medical education; Business; Nursing; Psychology; Political science; Computer science; Telecommunications","score_opus":0.0190860140869005,"score_gpt":0.33635473747719213,"score_spread":0.31726872339029166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904280049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965292,0.0008917045,0.000844071,0.00009810129,0.0003689504,0.0010756326,0.0000753002,0.000027142993,0.00008990052],"genre_scores_gemma":[0.9982228,0.000100743775,0.0002370919,0.00003555485,0.0003454316,0.00094688864,0.000010969662,0.000025106401,0.000075405565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993006,0.000017764061,0.00018151628,0.00019333705,0.00015903643,0.00014772915],"domain_scores_gemma":[0.99937016,0.000024787292,0.00010968658,0.000117372176,0.0003307788,0.00004719856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008363937,0.00009481138,0.00021000604,0.000082745806,0.000033650762,0.000008941403,0.000028832628,0.000033317912,0.00005329507],"category_scores_gemma":[0.0000029156756,0.00008068664,0.000020538138,0.00034346123,0.00002761572,0.000061403895,0.000008135728,0.00004493337,5.90262e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027201332,0.00005428502,0.6580489,0.0036525233,0.00011360111,0.0000050506196,0.028129926,0.00047189725,0.024407888,0.000030334393,0.00024133324,0.2821241],"study_design_scores_gemma":[0.012183967,0.0020414873,0.78526986,0.0044507473,0.00029496086,0.000007868755,0.030231498,0.011229012,0.14521255,0.0000037780699,0.008635987,0.00043827234],"about_ca_topic_score_codex":0.019653084,"about_ca_topic_score_gemma":0.066661306,"teacher_disagreement_score":0.28168583,"about_ca_system_score_codex":0.00021837429,"about_ca_system_score_gemma":0.00028384797,"threshold_uncertainty_score":0.9868751},"labels":[],"label_agreement":null},{"id":"W2905792035","doi":"10.2196/10280","title":"The Implementation Effectiveness of a Freely Available Pediatric Cancer Pain Assessment App: A Pilot Implementation Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Pediatric Pain Management Techniques","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Ontario Stroke Network; University of Ottawa; Université Laval; Dalhousie University; University of Toronto; Nova Scotia Health Authority; Hospital for Sick Children; Ottawa Hospital; Izaak Walton Killam Health Centre","funders":"Canadian Institutes of Health Research; Pediatric Oncology Group of Ontario","keywords":"Medicine; Physical therapy; Pain assessment; Cancer pain; Pain management; Alternative medicine","score_opus":0.028189014629201873,"score_gpt":0.42721506800945436,"score_spread":0.3990260533802525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905792035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879412,0.0005794701,0.0021924193,0.00029506753,0.0002864683,0.0074037,0.000052281757,0.00021011507,0.00103929],"genre_scores_gemma":[0.98899674,0.0007488147,0.00034506514,0.00020974368,0.00077251473,0.008580649,0.000030243667,0.00003707192,0.0002791522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973952,0.00067983894,0.0004981367,0.00040095474,0.00064070034,0.0003851604],"domain_scores_gemma":[0.99844474,0.00033127674,0.00036942872,0.00043295647,0.00034787372,0.00007375096],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034960976,0.00021006285,0.00031058912,0.00020589842,0.00022812396,0.000039073937,0.00020310128,0.00003771236,0.0011290291],"category_scores_gemma":[0.000031723703,0.00016094456,0.00007148823,0.00072527654,0.00007135057,0.00014550438,0.000112438574,0.00014404986,0.000012928459],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003006403,0.0003639068,0.9305608,0.0003304831,0.00019433697,0.0000030099093,0.00028905092,8.773386e-7,0.0023962767,0.000052759282,0.045137674,0.02037016],"study_design_scores_gemma":[0.0034115629,0.003370151,0.98379725,0.00004769854,0.00047397238,3.7828892e-7,0.0016212509,0.00008322967,0.0013089172,0.000109562774,0.0055918638,0.00018415473],"about_ca_topic_score_codex":0.005186869,"about_ca_topic_score_gemma":0.0027327705,"teacher_disagreement_score":0.053236432,"about_ca_system_score_codex":0.0006363163,"about_ca_system_score_gemma":0.00044688082,"threshold_uncertainty_score":0.99978405},"labels":[],"label_agreement":null},{"id":"W2907657058","doi":"10.2196/11406","title":"Impact of a Mobilized Stress Management Program (Pep-Pal) for Caregivers of Oncology Patients: Mixed-Methods Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Palliative Care Research Center","keywords":"Stress management; Stress (linguistics); Psychology; Medicine; Oncology; Clinical psychology","score_opus":0.02231998577241775,"score_gpt":0.4660941477335897,"score_spread":0.443774161961172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907657058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991708,0.00018818553,0.00013846654,0.000028614393,0.00071476103,0.005090085,0.00019120182,0.000036115,0.00190459],"genre_scores_gemma":[0.99477327,0.00003869738,0.001561946,0.000027454707,0.00014531394,0.003095164,0.000027960432,0.000026377877,0.00030379687],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99875677,0.00011328811,0.0003341977,0.00029450108,0.00024227961,0.00025896588],"domain_scores_gemma":[0.9985989,0.00006778285,0.00023316804,0.00038394312,0.0006169606,0.000099266384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020993857,0.00016301444,0.00053175096,0.0001303894,0.000031178985,0.000004394717,0.00012995677,0.000084146806,0.00022850327],"category_scores_gemma":[0.000021569796,0.00012741049,0.00025825368,0.00029426036,0.00015752952,0.000036922964,0.000069806745,0.0000759769,8.6899394e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003007017,0.0030736546,0.25532207,0.00061649655,0.00083707744,0.0000028709128,0.009616832,0.000004764015,0.00013327629,0.000011954655,0.002527022,0.72484696],"study_design_scores_gemma":[0.020217732,0.04691364,0.8470219,0.00043287844,0.0009828376,9.166503e-7,0.029302103,0.000089094414,0.0024771786,0.00003299984,0.0521957,0.00033304977],"about_ca_topic_score_codex":0.003084204,"about_ca_topic_score_gemma":0.005479612,"teacher_disagreement_score":0.72451395,"about_ca_system_score_codex":0.00047220473,"about_ca_system_score_gemma":0.00019424417,"threshold_uncertainty_score":0.51956487},"labels":[],"label_agreement":null},{"id":"W2908082109","doi":"10.2196/cancer.9887","title":"Analyzing Empowerment Processes Among Cancer Patients in an Online Community: A Text Mining Approach","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Rijksinstituut voor Volksgezondheid en Milieu; Radboud Universiteit","keywords":"Empowerment; Online community; Data science; Cancer; Computer science; Psychology; Sociology; Medicine; World Wide Web; Political science; Internal medicine","score_opus":0.11239013439370513,"score_gpt":0.48968248562862815,"score_spread":0.377292351234923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908082109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944369,0.00009583902,0.00007087445,0.00015139747,0.00041256935,0.001396612,0.00016717371,0.000084724226,0.0031838885],"genre_scores_gemma":[0.99279475,0.00007532945,0.00060074317,0.0036758492,0.0004105118,0.0018586151,0.00023595072,0.000023685776,0.00032455733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99686086,0.00075217505,0.0012617114,0.0002589524,0.00025556402,0.0006107435],"domain_scores_gemma":[0.99777514,0.0001560002,0.00060554175,0.00043328237,0.0008109278,0.00021912483],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010478873,0.00019160112,0.00031874244,0.0002062523,0.0010749437,0.000033352182,0.00034166122,0.00018901944,0.00095930987],"category_scores_gemma":[0.00019074792,0.00015889692,0.000027580834,0.0008313896,0.00012469481,0.0015914537,0.00015680648,0.0009463967,0.00002225724],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009365457,0.0004961167,0.91849303,0.0012205784,0.0000071504874,9.260155e-8,0.0627779,0.000012362658,0.000002985325,0.0000038850194,0.0014806848,0.0154115455],"study_design_scores_gemma":[0.0010505151,0.00012082204,0.97212994,0.0009158211,0.000006331757,3.389207e-8,0.009288549,0.0033741412,0.000010108199,0.000014317321,0.012896359,0.00019308833],"about_ca_topic_score_codex":0.008305547,"about_ca_topic_score_gemma":0.039751403,"teacher_disagreement_score":0.05363687,"about_ca_system_score_codex":0.00064534805,"about_ca_system_score_gemma":0.00094540784,"threshold_uncertainty_score":0.9999539},"labels":[],"label_agreement":null},{"id":"W2908366030","doi":"10.2196/10187","title":"Usability, Acceptability, and Usefulness of an mHealth App for Diagnosing and Monitoring Patients With Breakthrough Cancer Pain","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Pain Management and Opioid Use","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Teva Pharmaceutical Industries","keywords":"mHealth; Usability; Cancer pain; Distress; Medicine; Mobile apps; Cancer; Health professionals; Health care; Breakthrough Pain; Psychiatry; Clinical psychology; Computer science; Internal medicine; World Wide Web; Human–computer interaction","score_opus":0.0319600662657813,"score_gpt":0.35556811208904826,"score_spread":0.32360804582326697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908366030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974354,0.00031114614,0.00022673335,0.0003356495,0.00016936487,0.0014098958,0.00003344513,0.000033704164,0.0000446696],"genre_scores_gemma":[0.9973897,0.00012786039,0.0010969519,0.00022542299,0.00047374485,0.0006092288,0.0000076269594,0.000024828156,0.00004468293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894387,0.000055637604,0.00020380689,0.0003524775,0.00019607201,0.0002481181],"domain_scores_gemma":[0.999181,0.0001513882,0.000103442835,0.00024549288,0.00019305335,0.00012564643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040866973,0.00014384664,0.0002850343,0.000051246923,0.00011408145,0.000023255236,0.00006161177,0.00005659213,0.000058728816],"category_scores_gemma":[0.00006732806,0.00011231626,0.000023320526,0.00013509716,0.000254683,0.00020060028,0.000059374866,0.00007074986,1.5928553e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003454627,0.0001546814,0.8831725,0.00075346796,0.000033302003,2.6264766e-7,0.0010184385,0.0000014667252,0.000027338145,0.00001289014,0.00015936828,0.11432079],"study_design_scores_gemma":[0.0021124932,0.00069078064,0.99302524,0.00027570486,0.00008180548,8.2326856e-8,0.00025550008,0.00023871838,0.00074532017,0.000085264626,0.0023611297,0.00012794771],"about_ca_topic_score_codex":0.0011359868,"about_ca_topic_score_gemma":0.00081016397,"teacher_disagreement_score":0.11419284,"about_ca_system_score_codex":0.00011050667,"about_ca_system_score_gemma":0.0000708602,"threshold_uncertainty_score":0.4580124},"labels":[],"label_agreement":null},{"id":"W2915608311","doi":"10.2196/cancer.9798","title":"Benefit of Watching a Live Visual Inspection of the Cervix With Acetic Acid and Lugol Iodine on Women’s Anxiety: Randomized Controlled Trial of an Educational Intervention Conducted in a Low-Resource Setting","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hôpitaux Universitaires de Genève","keywords":"Randomized controlled trial; Anxiety; Intervention (counseling); Cervix; Iodine; Visual inspection; Medicine; Psychology; Nursing; Psychiatry; Computer science; Internal medicine; Materials science; Artificial intelligence","score_opus":0.007569316654394766,"score_gpt":0.3239019428829328,"score_spread":0.316332626228538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915608311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944934,0.00018285007,0.0000023385048,0.0008192749,0.000086626846,0.0040131346,0.000011828972,0.0000067247906,0.0003837848],"genre_scores_gemma":[0.9985498,0.00004168559,0.000010189886,0.0000642909,0.000118314936,0.0009922886,0.0000110436085,0.000013370722,0.00019899718],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99847627,0.00020900148,0.00051540753,0.00020464588,0.00043891105,0.00015579235],"domain_scores_gemma":[0.99896747,0.00023463037,0.00034377156,0.00016132407,0.00023433498,0.000058469355],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007427177,0.00011549678,0.00085846457,0.00015347304,0.000024996427,0.000007849121,0.00006960442,0.000065493536,0.0010673067],"category_scores_gemma":[0.00014766105,0.00006809571,0.000148383,0.00023653546,0.0001319842,0.00006323544,0.000036600006,0.00022871887,5.6003825e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9725656,0.00084121566,0.0057775187,0.0006548291,0.00019219564,2.2524114e-7,0.004420298,0.000117399875,0.0074576614,0.00006547598,0.000007862062,0.007899743],"study_design_scores_gemma":[0.9319517,0.0020418686,0.054064017,0.00080228725,0.00008788968,0.0000028761933,0.0016656781,0.0038496293,0.0053560026,0.00008432859,0.000011120712,0.00008259096],"about_ca_topic_score_codex":0.0006706557,"about_ca_topic_score_gemma":0.00043278054,"teacher_disagreement_score":0.048286498,"about_ca_system_score_codex":0.00022794919,"about_ca_system_score_gemma":0.00022067345,"threshold_uncertainty_score":0.99984586},"labels":[],"label_agreement":null},{"id":"W2915922540","doi":"10.2196/12307","title":"A Thematic Analysis of Attitudes Toward Changes to Cervical Screening in Australia","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cervical screening; Thematic analysis; Thematic map; Medicine; Psychology; Social psychology; Geography; Cervical cancer; Sociology; Internal medicine; Social science; Qualitative research; Cartography","score_opus":0.13186585969425155,"score_gpt":0.46515381690137,"score_spread":0.33328795720711846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915922540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938238,0.00022452271,0.000041621588,0.0030082918,0.0000357544,0.0006356447,0.000019312798,0.000013871892,0.0021971758],"genre_scores_gemma":[0.99711967,0.000033739096,0.00020594691,0.0005807957,0.00007845043,0.00020653545,0.000007933191,0.000010926571,0.001756034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988578,0.00002250561,0.00019446942,0.00023459354,0.00042317007,0.00026747954],"domain_scores_gemma":[0.9994079,0.000051358173,0.00003412612,0.00025300158,0.000105176565,0.00014842526],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016193111,0.000096182914,0.0005050703,0.0004608079,0.00000843358,0.0000096029935,0.00011588139,0.000064610555,0.023711516],"category_scores_gemma":[0.000021517706,0.000075070006,0.00012144483,0.0014712063,0.000026276643,0.000027917113,0.000069792484,0.0001644994,0.000059066293],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000545073,0.00014381684,0.965271,0.0010463491,0.0005944226,0.000009109804,0.0016075213,0.00028953396,0.0021669038,0.0001061503,0.0005681917,0.027651954],"study_design_scores_gemma":[0.0007025384,0.00017642928,0.9960583,0.00014112199,0.0001876272,4.969357e-7,0.00021011409,0.0006803652,0.0008324202,0.00000969549,0.00091430143,0.00008661455],"about_ca_topic_score_codex":0.0026427538,"about_ca_topic_score_gemma":0.0061590956,"teacher_disagreement_score":0.030787302,"about_ca_system_score_codex":0.00009681302,"about_ca_system_score_gemma":0.00005190659,"threshold_uncertainty_score":0.97718096},"labels":[],"label_agreement":null},{"id":"W2917183624","doi":"10.2196/10692","title":"Usefulness and Usability of a Personal Health Record and Survivorship Care Plan for Colorectal Cancer Survivors: Survey Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Survivorship curve; Usability; Medicine; Population; Family medicine; Health care; Colorectal cancer; Cancer survivor; Cancer; Gerontology; Internal medicine","score_opus":0.04940553473460214,"score_gpt":0.34845456426940713,"score_spread":0.299049029534805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917183624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897093,0.0035568408,0.0000067102696,0.00030776003,0.0009979998,0.0036450503,0.0016702241,0.0000389814,0.000067130684],"genre_scores_gemma":[0.9977764,0.00021600674,0.000013060766,0.00020340123,0.00019169996,0.0012125559,0.00008438234,0.00004922535,0.00025326462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99774593,0.00031205514,0.0004303833,0.0006988109,0.00037958668,0.00043325982],"domain_scores_gemma":[0.9984012,0.00042415707,0.0002167018,0.00027688663,0.00041296662,0.00026804677],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00088851224,0.00029385832,0.00090477586,0.000103944716,0.00010400426,0.000027806658,0.00009856481,0.0001355677,0.00023651999],"category_scores_gemma":[0.000055331875,0.0002600157,0.000100822355,0.00029413358,0.0001462636,0.000097912656,0.00007207509,0.00023326717,9.718857e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026789494,0.00017102071,0.95319784,0.0020171178,0.00012271108,0.0000011508574,0.025935447,0.0000010265189,0.000075691256,0.0000058777523,0.000165195,0.015627982],"study_design_scores_gemma":[0.0028329638,0.0018584081,0.97505623,0.0002581358,0.000060716917,0.0000035789842,0.017730579,0.00005962088,0.00015517828,0.0000064772134,0.0017081837,0.0002698988],"about_ca_topic_score_codex":0.30988982,"about_ca_topic_score_gemma":0.8409266,"teacher_disagreement_score":0.53103673,"about_ca_system_score_codex":0.00033672867,"about_ca_system_score_gemma":0.0006859273,"threshold_uncertainty_score":0.9999852},"labels":[],"label_agreement":null},{"id":"W2930763275","doi":"10.2196/12317","title":"Designing and Testing Apps to Support Patients With Cancer: Looking to Behavioral Science to Lead the Way","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lead (geology); Psychology; Computer science; Data science; Risk analysis (engineering); Medicine; Biology","score_opus":0.031296638949704136,"score_gpt":0.3287811462168869,"score_spread":0.2974845072671828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2930763275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959139,0.00008156457,0.00009791304,0.00089920074,0.0004583154,0.0015626409,0.000022534567,0.000044131342,0.0009197911],"genre_scores_gemma":[0.99410075,0.0000028580507,0.00054268463,0.0035672027,0.00017173903,0.00064510823,0.0000020963337,0.00003161031,0.00093594374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983216,0.000012257155,0.00015164552,0.00047588354,0.0005722451,0.0004663496],"domain_scores_gemma":[0.9989556,0.000033699398,0.000049388844,0.00031739625,0.0003231618,0.0003207305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020949577,0.00016747249,0.00021864954,0.00013139076,0.00018014178,0.00007898538,0.00018771351,0.000032765172,0.00015106377],"category_scores_gemma":[0.000025608215,0.00011251332,0.000022135544,0.0009506415,0.000071001436,0.00012596221,0.00013657867,0.00015389446,0.000034848505],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019185887,0.000025791818,0.85346264,0.000041810235,0.000007312912,0.000003905833,0.005975388,0.0001331214,0.010084606,0.000003873741,0.0007392084,0.12933046],"study_design_scores_gemma":[0.0013124093,0.0022773861,0.9526124,0.0012619115,0.00009145573,0.0000069960333,0.0022363956,0.000038404956,0.013350393,0.0000019003561,0.026321495,0.000488851],"about_ca_topic_score_codex":0.0050796284,"about_ca_topic_score_gemma":0.0057704146,"teacher_disagreement_score":0.12884161,"about_ca_system_score_codex":0.00038659337,"about_ca_system_score_gemma":0.0004119156,"threshold_uncertainty_score":0.7678913},"labels":[],"label_agreement":null},{"id":"W2932047266","doi":"10.2196/12856","title":"When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":247,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Chatbot; Breast cancer; Medicine; Prospective cohort study; Psychology; Cancer; Computer science; World Wide Web; Internal medicine","score_opus":0.01922459088108399,"score_gpt":0.339041128347752,"score_spread":0.31981653746666805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2932047266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99111706,0.00004347111,0.0000015156722,0.0002961929,0.00046318516,0.0035383217,0.0018303248,0.000032560758,0.0026773876],"genre_scores_gemma":[0.9969051,0.0000013913266,0.000014260352,0.000084744905,0.000058996917,0.0015800011,0.000034329278,0.000035961093,0.0012852189],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985874,0.000051466563,0.00034754892,0.00041430903,0.0003196612,0.0002795606],"domain_scores_gemma":[0.99898374,0.000032674554,0.0002836585,0.00029176447,0.00029078886,0.00011735809],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005267772,0.00017321878,0.00030975722,0.000112279275,0.00005769578,0.000021117687,0.0001274619,0.0000636938,0.0013910591],"category_scores_gemma":[0.0000027874496,0.00015193412,0.000037763573,0.00018411408,0.00007941223,0.000282682,0.00007280817,0.00011138617,0.00006578568],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037128796,0.0025626447,0.98478013,0.00008479209,0.0003233255,1.7787278e-7,0.006173791,8.2320196e-7,4.7012574e-7,0.00037323043,0.00066638616,0.004662926],"study_design_scores_gemma":[0.0063982885,0.0020843216,0.9895427,0.00025026264,0.0000669771,1.0631195e-7,0.0011556408,6.768735e-7,0.000008173042,0.000121911675,0.00020572492,0.00016521261],"about_ca_topic_score_codex":0.0025075392,"about_ca_topic_score_gemma":0.0013840515,"teacher_disagreement_score":0.0060270005,"about_ca_system_score_codex":0.0002610562,"about_ca_system_score_gemma":0.00004792783,"threshold_uncertainty_score":0.9995218},"labels":[],"label_agreement":null},{"id":"W2937434126","doi":"10.2196/cancer.7850","title":"Potential of Using Twitter to Recruit Cancer Survivors and Their Willingness to Participate in Nutrition Research and Web-Based Interventions: A Cross-Sectional Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Patient-Centered Outcomes Research Institute","keywords":"Health Information National Trends Survey; Psychological intervention; Social media; Medicine; Promotion (chess); National Health and Nutrition Examination Survey; Family medicine; Cross-sectional study; Health promotion; Intervention (counseling); Environmental health; Public health; Health information; Health care; World Wide Web; Nursing; Population; Political science; Pathology","score_opus":0.4397553182196421,"score_gpt":0.581914203797104,"score_spread":0.14215888557746192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937434126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99273264,0.00031323015,0.00001429547,0.0011150702,0.0018618355,0.0039163986,0.000020690173,0.000011735242,0.000014116437],"genre_scores_gemma":[0.9936631,0.00006871844,0.000045732046,0.00007470947,0.0003961419,0.0056916047,0.0000012924227,0.000011269677,0.00004745823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982976,0.00041526466,0.0003104645,0.00029194105,0.00036915322,0.00031561818],"domain_scores_gemma":[0.9989199,0.00037343035,0.00007695321,0.000099531244,0.0003885221,0.0001416817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001737328,0.000074790856,0.00016663827,0.00024631785,0.00022411035,0.000077412325,0.00009670053,0.00008031058,0.00019843935],"category_scores_gemma":[0.00022791163,0.00007519796,0.000027783462,0.0008128726,0.0001483761,0.00013916062,0.000042153813,0.00015191779,0.000003288573],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013404906,0.00025942276,0.9670042,0.0001850919,0.000006369388,2.4924893e-7,0.030363023,0.00018961453,0.0006984948,0.000012683751,0.000022323813,0.0011244806],"study_design_scores_gemma":[0.0005935112,0.00016637385,0.98790646,0.00045223883,0.0000032995413,5.994792e-8,0.009581769,0.0001868553,0.000109389795,0.00014098616,0.0007729263,0.000086156644],"about_ca_topic_score_codex":0.11139264,"about_ca_topic_score_gemma":0.1309858,"teacher_disagreement_score":0.020902235,"about_ca_system_score_codex":0.00048299338,"about_ca_system_score_gemma":0.0004527247,"threshold_uncertainty_score":0.8945247},"labels":[],"label_agreement":null},{"id":"W2943160936","doi":"10.2196/12593","title":"Oncofertility Decision Support Resources for Women of Reproductive Age: Systematic Review","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Public Health Ontario; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Oncofertility; Fertility preservation; Reproductive health; Medicine; Family medicine; Reproductive medicine; Infertility; Gynecology; Health care; Fertility; Environmental health; Population; Pregnancy; Political science; Biology","score_opus":0.02527507786393761,"score_gpt":0.35725644847838134,"score_spread":0.3319813706144437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943160936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97332877,0.01768595,0.000022928214,0.000656991,0.00030477453,0.0065719048,0.000033566652,0.000032312975,0.0013627908],"genre_scores_gemma":[0.987924,0.0007180137,0.00016987088,0.00059633114,0.00015522233,0.0021177742,0.000010440721,0.000015692653,0.008292682],"study_design_codex":"systematic_review","study_design_gemma":"observational","domain_scores_codex":[0.9982968,0.00010243732,0.00056920946,0.0006131207,0.00020078065,0.00021765799],"domain_scores_gemma":[0.9979833,0.00014180195,0.0002700152,0.0011682863,0.00036548616,0.000071145274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015278199,0.00013857665,0.0010178114,0.000041646508,0.000028362158,0.000002578821,0.00012029956,0.000095402436,0.0005542788],"category_scores_gemma":[0.0011997063,0.00009236344,0.0001650518,0.00016413341,0.00011570428,0.000059603164,0.000041373958,0.00012314014,0.000034293782],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.019914215,0.00061005395,0.055253565,0.8941983,0.00058365474,0.000008162632,0.003806028,0.0000011221033,0.011745893,0.000035732144,0.009110751,0.004732507],"study_design_scores_gemma":[0.0020416335,0.0017800343,0.9042354,0.06210786,0.00049598236,0.000024312274,0.000536484,0.0000076107394,0.006131787,0.0011119955,0.021217387,0.00030948714],"about_ca_topic_score_codex":0.000015743542,"about_ca_topic_score_gemma":0.000003565477,"teacher_disagreement_score":0.84898186,"about_ca_system_score_codex":0.00020351954,"about_ca_system_score_gemma":0.000118544725,"threshold_uncertainty_score":0.6068964},"labels":[],"label_agreement":null},{"id":"W2945537265","doi":"10.2196/13832","title":"Providers’ Perceptions of Parental Human Papillomavirus Vaccine Hesitancy: Cross-Sectional Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Medicine; Cross-sectional study; Family medicine; Vaccination; Human papillomavirus; Descriptive statistics; Health care; Internal medicine","score_opus":0.041100058229574764,"score_gpt":0.4265467787476272,"score_spread":0.38544672051805245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945537265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988976,0.00030212436,0.0000018101206,0.00013962106,0.00018723459,0.0015469345,0.000046104346,0.000041956784,0.008758233],"genre_scores_gemma":[0.99325,0.000024509327,0.000011258425,0.00013205998,0.00037018204,0.00039971044,0.00002752085,0.000025082132,0.0057596746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984535,0.000031104268,0.00032378465,0.00033950695,0.0005886915,0.0002634198],"domain_scores_gemma":[0.9991872,0.000025419291,0.00006211493,0.0003215158,0.000263429,0.00014032812],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001311029,0.00013172132,0.00031349255,0.00010697197,0.000103266,0.000027931403,0.00011302055,0.00007473292,0.053413417],"category_scores_gemma":[0.0000096533495,0.00010839797,0.0001369912,0.00022610456,0.00004878485,0.00010694223,0.00006790014,0.00027191942,0.0001760709],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055531185,0.0005731204,0.9858271,0.00018265976,0.000091196,0.0000064005344,0.0005233617,0.0000064152678,0.0088903215,0.00004124025,0.0012723412,0.0020305472],"study_design_scores_gemma":[0.0039387834,0.0010295368,0.9926715,0.000019452182,0.000028458298,0.0000054564116,0.0005484549,0.000012555379,0.00032292082,0.000051444746,0.0012590368,0.00011240863],"about_ca_topic_score_codex":0.0012287868,"about_ca_topic_score_gemma":0.0010086561,"teacher_disagreement_score":0.05323735,"about_ca_system_score_codex":0.000289559,"about_ca_system_score_gemma":0.00018862107,"threshold_uncertainty_score":0.9474519},"labels":[],"label_agreement":null},{"id":"W2948677834","doi":"10.2196/13543","title":"Feasibility of a Mobile Phone App and Telephone Coaching Survivorship Care Planning Program Among Spanish-Speaking Breast Cancer Survivors","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; National Cancer Institute; NHLBI Division of Intramural Research; National Institute on Aging; National Institutes of Health","keywords":"Coaching; Survivorship curve; Mobile phone; Breast cancer; Phone; Cancer survivorship; Phone call; Psychology; Medicine; Physical therapy; Gerontology; Cancer; Computer science; Telecommunications; Psychotherapist","score_opus":0.01948777849164128,"score_gpt":0.3288404957108968,"score_spread":0.3093527172192555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948677834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854351,0.007954265,0.0000148566205,0.00008193209,0.0010555097,0.0029671344,0.0003089963,0.00025683557,0.0019253552],"genre_scores_gemma":[0.997204,0.00023748516,0.000072406074,0.00012602833,0.00042212103,0.0014071616,0.000059159876,0.00010180786,0.00036982287],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970869,0.00013631301,0.00056676246,0.0008649486,0.00066797767,0.00067713164],"domain_scores_gemma":[0.99815077,0.0001162286,0.00034630817,0.0006662484,0.000403155,0.00031732113],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038810153,0.0004517298,0.00096796016,0.0001782394,0.00012511427,0.00006501271,0.00020374106,0.00026804794,0.00068865536],"category_scores_gemma":[0.000016274586,0.00041027452,0.00022486348,0.00064390426,0.00024645426,0.00026469657,0.000155281,0.0005927795,0.0000075790135],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007472471,0.00016825284,0.9332115,0.0021428943,0.00013200047,0.000018157254,0.018645892,0.00016125538,0.0022228633,0.0000072436624,0.000055048065,0.042487632],"study_design_scores_gemma":[0.0022599783,0.00028798394,0.9743862,0.0018524926,0.00016327477,0.00003702448,0.015460136,0.00025545034,0.0014712772,0.0000060508337,0.0032642344,0.00055590796],"about_ca_topic_score_codex":0.105772234,"about_ca_topic_score_gemma":0.10801377,"teacher_disagreement_score":0.041931726,"about_ca_system_score_codex":0.00048716908,"about_ca_system_score_gemma":0.0003439216,"threshold_uncertainty_score":0.9998349},"labels":[],"label_agreement":null},{"id":"W2957749699","doi":"10.2196/14292","title":"Experiences of Using a Consumer-Based Mobile Meditation App to Improve Fatigue in Myeloproliferative Patients: Qualitative Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Meditation; Myeloproliferative neoplasm; Psychological intervention; Quality of life (healthcare); Mindfulness; Psychotherapist; Mindfulness meditation; Mobile phone; Medicine; Psychology; Clinical psychology; Internal medicine; Psychiatry; Computer science; Myelofibrosis","score_opus":0.034394911358587625,"score_gpt":0.40750266802182966,"score_spread":0.37310775666324203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957749699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953562,0.00014679458,0.00007868967,0.000038463055,0.0006380327,0.0035428433,0.000044144468,0.000016883117,0.00013792864],"genre_scores_gemma":[0.99566567,0.0000020674056,0.0000961808,0.000251612,0.000052482796,0.0038287847,0.000015240956,0.00001654087,0.00007143641],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9985909,0.00014074915,0.00034643404,0.00032102218,0.00041901311,0.00018188213],"domain_scores_gemma":[0.9990922,0.00011252815,0.00014756146,0.0001953811,0.00036980872,0.00008251935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018976648,0.00014637111,0.00037577478,0.00017452653,0.000022456283,0.000009082263,0.00006810101,0.000053643715,0.0002793478],"category_scores_gemma":[0.00004774009,0.00012486464,0.000049603732,0.00047007104,0.00005681913,0.00010921953,0.000021806256,0.00010834356,0.000005887793],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075810286,0.00047597857,0.12198115,0.00013757811,0.00004088883,0.0000016874053,0.87102526,0.00018858744,0.002088692,0.000005254757,0.000054671273,0.003242167],"study_design_scores_gemma":[0.003920675,0.002128237,0.019301226,0.00033028662,0.000031234104,1.0277014e-7,0.9649153,0.00041403764,0.008509182,0.000007156938,0.0002309479,0.0002116594],"about_ca_topic_score_codex":0.0025356677,"about_ca_topic_score_gemma":0.00274776,"teacher_disagreement_score":0.10267992,"about_ca_system_score_codex":0.0002762526,"about_ca_system_score_gemma":0.00032487346,"threshold_uncertainty_score":0.5091833},"labels":[],"label_agreement":null},{"id":"W2968070563","doi":"10.2196/15539","title":"Feasibility of an Interactive Patient Portal for Monitoring Physical Activity, Remote Symptom Reporting, and Patient Education in Oncology: Qualitative Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Patient portal; Thematic analysis; Psychological intervention; Medicine; Cohort; Coaching; Focus group; Health literacy; Personalization; Intervention (counseling); Qualitative research; Medical education; Family medicine; Health care; Psychology; Nursing; World Wide Web","score_opus":0.05256836418148002,"score_gpt":0.48690839195322255,"score_spread":0.4343400277717425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968070563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961023,0.00006214579,0.0000028461845,0.00008477797,0.0006927314,0.0026226651,0.000020677597,0.000013313167,0.00039858563],"genre_scores_gemma":[0.9993923,0.0000033774706,0.00005581174,0.00002918324,0.000112234804,0.0003305414,0.000007056532,0.000014819588,0.000054717002],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987776,0.00013419575,0.00037524587,0.00036732692,0.00020772911,0.00013785517],"domain_scores_gemma":[0.9986317,0.00012161734,0.0006908171,0.00023682723,0.00024422703,0.00007477089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022053892,0.000120167664,0.00040962,0.000071897404,0.000019423107,0.000006567967,0.000030761363,0.000051800173,0.000012212349],"category_scores_gemma":[0.00010153776,0.0001068877,0.000065578795,0.0001119447,0.00003275733,0.00015234263,0.000039402665,0.0001712879,3.56968e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017227113,0.002768363,0.3047141,0.00015080947,0.00004969157,0.000004186674,0.2921303,0.0000037327868,0.0022519885,0.0000036862505,0.000018461093,0.39618194],"study_design_scores_gemma":[0.0014162263,0.0053825076,0.6429692,0.0003808887,0.000059305206,0.0000050614935,0.34083968,0.00016071115,0.0083041,0.000106658656,0.00021019547,0.00016546989],"about_ca_topic_score_codex":0.0046954504,"about_ca_topic_score_gemma":0.002467102,"teacher_disagreement_score":0.39601648,"about_ca_system_score_codex":0.0005205614,"about_ca_system_score_gemma":0.00053604273,"threshold_uncertainty_score":0.7098148},"labels":[],"label_agreement":null},{"id":"W2969559585","doi":"10.2196/13240","title":"Examining the Interaction Between Medical Information Seeking Online and Understanding: Exploratory Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Likert scale; Information seeking; Psychology; Exploratory research; The Internet; Medical education; Information quality; Information seeking behavior; Scale (ratio); Quality (philosophy); Focus group; Qualitative research; Information literacy; Applied psychology; Medicine; Information system; Computer science; World Wide Web; Pedagogy","score_opus":0.2263059608298967,"score_gpt":0.5014228840631854,"score_spread":0.2751169232332886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969559585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99245316,0.000025405854,0.0012688442,0.0012825816,0.00087791274,0.0015322743,0.000021065123,0.000069982656,0.0024687746],"genre_scores_gemma":[0.99447966,0.000027705466,0.000018525845,0.004736364,0.00032958842,0.00027130614,0.00003933798,0.0000066550488,0.00009083206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979316,0.0004015186,0.00091576047,0.00011979431,0.00039117166,0.00024014407],"domain_scores_gemma":[0.9985529,0.0005636616,0.00043501615,0.00021799089,0.000109023626,0.00012136452],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020028884,0.000097989316,0.00017218229,0.00009187512,0.0005291375,0.000036837828,0.0001299584,0.00012672199,0.0012835283],"category_scores_gemma":[0.00017206332,0.00006370443,0.000014691224,0.00018918437,0.000030008341,0.0024952353,0.0001245427,0.0008023967,0.00013704585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037274218,0.000021976744,0.92865676,0.00024049685,0.000012819632,9.988926e-8,0.052661017,0.0000034021414,8.9732265e-7,0.00013168897,0.0012120863,0.017021468],"study_design_scores_gemma":[0.0013472086,0.00011059772,0.6429573,0.00044080458,0.000010468408,3.751866e-7,0.26178527,0.0051758927,7.342667e-7,0.0000892967,0.08795884,0.00012317144],"about_ca_topic_score_codex":0.00013835657,"about_ca_topic_score_gemma":0.00024303685,"teacher_disagreement_score":0.28569943,"about_ca_system_score_codex":0.0004238775,"about_ca_system_score_gemma":0.0003467676,"threshold_uncertainty_score":0.99962944},"labels":[],"label_agreement":null},{"id":"W2969653123","doi":"10.2196/12849","title":"Clinical Profiles and Survival Outcomes of Patients With Well-Differentiated Neuroendocrine Tumors at a Health Network in New South Wales, Australia: Retrospective Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Cancer registry; Incidence (geometry); Univariate analysis; Neuroendocrine tumors; Population; Propensity score matching; Lung cancer; Survival analysis; Cancer; Multivariate analysis; Demography; Internal medicine; Environmental health","score_opus":0.03816269422387768,"score_gpt":0.3898641276171519,"score_spread":0.3517014333932742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969653123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99486643,0.00010656811,3.853e-7,0.0005993699,0.00021673489,0.0040760906,0.000051015453,0.000040582472,0.000042801636],"genre_scores_gemma":[0.99514383,0.00005816383,0.000057048077,0.00013171004,0.00008681922,0.00010623793,0.000026121194,0.000048062248,0.0043420275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970053,0.00026379674,0.0006865256,0.00067038473,0.0007085046,0.00066551205],"domain_scores_gemma":[0.99866164,0.00009435179,0.0003477197,0.00041750027,0.00012689909,0.0003518757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012800595,0.00029028291,0.0011827068,0.00012952281,0.000041429255,0.000012171794,0.00013225408,0.000010056576,0.00033160512],"category_scores_gemma":[0.00007334937,0.00020251785,0.00007509509,0.00042627993,0.00012395259,0.00009235403,0.00019188489,0.0005276658,0.000014810507],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026204425,0.00077625195,0.99477065,0.00016345289,0.00011149341,0.00021738691,0.00016121249,0.000018732668,0.000005593304,0.000008721365,0.00094166753,0.00020442874],"study_design_scores_gemma":[0.011477443,0.0043863156,0.9832969,0.00018484316,0.000029709094,0.000009478064,0.00019038757,0.000009751508,0.000028054232,0.00000912457,0.00022579095,0.00015225828],"about_ca_topic_score_codex":0.0012211659,"about_ca_topic_score_gemma":0.0037900521,"teacher_disagreement_score":0.011473773,"about_ca_system_score_codex":0.0002052135,"about_ca_system_score_gemma":0.0002824875,"threshold_uncertainty_score":0.8258438},"labels":[],"label_agreement":null},{"id":"W2970354288","doi":"10.2196/12536","title":"Complementary and Alternative Medicine in Patients With Breast Cancer: Exploratory Study of Social Network Forum Data","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Complementary and Alternative Medicine Studies","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Institut National Du Cancer; Direction Générale de l’offre de Soins; Institut National de la Santé et de la Recherche Médicale","keywords":"Psychological intervention; Breast cancer; Social media; Medicine; Alternative medicine; Health care; Family medicine; Integrative medicine; Quality of life (healthcare); Exploratory research; MEDLINE; Cancer; Nursing; Internal medicine; Pathology; World Wide Web","score_opus":0.045977328114778004,"score_gpt":0.363607853418741,"score_spread":0.317630525303963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970354288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949785,0.0004155554,0.0000035664123,0.0019398816,0.000302976,0.0017825671,0.00040983292,0.000010152744,0.00015695546],"genre_scores_gemma":[0.99842346,0.000085075364,0.00001655712,0.000477438,0.00061581103,0.00015798511,0.00016098362,0.000018409546,0.00004431274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850154,0.000058305828,0.00033267163,0.0003917199,0.00045270153,0.00026307703],"domain_scores_gemma":[0.9992911,0.000052892465,0.00018663084,0.000275836,0.00013444893,0.000059062033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013353533,0.00019009094,0.0005660241,0.00009135721,0.000067907844,0.0000024871301,0.00016698979,0.000008691904,0.0008960723],"category_scores_gemma":[0.0000024630501,0.0001290461,0.000012960483,0.00022529658,0.00014949254,0.00015695485,0.00033642855,0.00016017944,9.1720096e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014370813,0.00046721657,0.97910666,0.000093479415,0.00045021097,0.000007065129,0.0060760705,0.00002733423,0.0000067085207,0.000024766407,0.006468892,0.0058344947],"study_design_scores_gemma":[0.017570587,0.002253494,0.9579009,0.0004839761,0.00013411969,7.6273227e-7,0.01805636,0.00009602446,0.0000020932398,0.000015037836,0.003360134,0.00012651864],"about_ca_topic_score_codex":0.0035286963,"about_ca_topic_score_gemma":0.0074878004,"teacher_disagreement_score":0.021205788,"about_ca_system_score_codex":0.00010561366,"about_ca_system_score_gemma":0.0000487779,"threshold_uncertainty_score":0.9811364},"labels":[],"label_agreement":null},{"id":"W2972139945","doi":"10.2196/12090","title":"Evaluation of a Technology-Based Survivor Care Plan for Breast Cancer Survivors: Pre-Post Pilot Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Breast cancer; Medicine; Cancer survivor; Cancer; Oncology; Medical physics; Internal medicine","score_opus":0.036549207942806326,"score_gpt":0.3536110445776762,"score_spread":0.3170618366348699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972139945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98599243,0.0023567653,0.000018283508,0.000889142,0.0012112878,0.0070959534,0.0018951085,0.00012730734,0.00041371322],"genre_scores_gemma":[0.9921924,0.000022455819,0.000027697142,0.00022306148,0.00028701487,0.006769353,0.00009564619,0.00007142773,0.00031095787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974361,0.000105483356,0.00039745693,0.00058130966,0.0010932868,0.00038634468],"domain_scores_gemma":[0.9961746,0.000065360844,0.00023475877,0.0007045683,0.002714103,0.00010664855],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006439899,0.00029269417,0.00059582473,0.00034605013,0.00006493964,0.000016570144,0.0002158647,0.00014230973,0.0013211871],"category_scores_gemma":[0.000039194023,0.0002558213,0.0001443992,0.0006244803,0.00007282334,0.000087155764,0.00004412264,0.0002129798,0.000010881549],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004754656,0.0010884459,0.88098526,0.001450991,0.00043015432,0.0000021719472,0.004611332,0.00052733644,0.007575123,0.00002329411,0.00029265115,0.09825858],"study_design_scores_gemma":[0.017160382,0.008527965,0.9382594,0.0013056427,0.0017902552,0.000007260983,0.019070484,0.0018784229,0.005289554,0.000037810987,0.0059602894,0.0007125048],"about_ca_topic_score_codex":0.028259585,"about_ca_topic_score_gemma":0.25043485,"teacher_disagreement_score":0.22217526,"about_ca_system_score_codex":0.0007115486,"about_ca_system_score_gemma":0.0015694943,"threshold_uncertainty_score":0.9999894},"labels":[],"label_agreement":null},{"id":"W2975466964","doi":"10.2196/12163","title":"Developing Machine Learning Algorithms for the Prediction of Early Death in Elderly Cancer Patients: Usability Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Frailty in Older Adults","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; C4.5 algorithm; Polypharmacy; Machine learning; Naive Bayes classifier; Algorithm; Multilayer perceptron; Decision tree; Cancer; Geriatric Depression Scale; Logistic regression; Internal medicine; Computer science; Artificial neural network; Anxiety; Support vector machine; Psychiatry","score_opus":0.04141765506526159,"score_gpt":0.34396872384579574,"score_spread":0.30255106878053417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975466964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943194,0.00035740313,0.00025535637,0.00056604424,0.0004952819,0.003828249,0.0000848302,0.000034383844,0.000059101552],"genre_scores_gemma":[0.9971734,0.000069651236,0.0002496348,0.000090325746,0.000121808196,0.0015202996,0.000017612767,0.0000257269,0.00073153694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987313,0.000051018793,0.0003655629,0.0002990478,0.00031998678,0.0002330844],"domain_scores_gemma":[0.9991566,0.00016905874,0.00013921323,0.0002414482,0.00025483884,0.000038873794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023474958,0.00013906,0.00028718958,0.00006874408,0.00005406587,0.000010172064,0.000111247515,0.00006662381,0.00014201389],"category_scores_gemma":[0.00010101516,0.000097780634,0.00006012418,0.00023554279,0.00003150785,0.00011291493,0.000040742296,0.0002687238,0.0000035711862],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025605818,0.00024286,0.9510602,0.00016152617,0.00007774009,3.7243802e-7,0.0029017718,0.00023525946,0.0000706116,0.0000057595066,0.00006240259,0.044925448],"study_design_scores_gemma":[0.0044107535,0.0014708815,0.9869518,0.00029417218,0.00005440352,3.7494866e-7,0.00037781498,0.0036680414,0.00022589251,0.000015659813,0.002438084,0.00009210162],"about_ca_topic_score_codex":0.007340401,"about_ca_topic_score_gemma":0.0022946314,"teacher_disagreement_score":0.044833347,"about_ca_system_score_codex":0.0004737712,"about_ca_system_score_gemma":0.00020544547,"threshold_uncertainty_score":0.9992698},"labels":[],"label_agreement":null},{"id":"W2976467698","doi":"10.2196/12071","title":"Digital Interventions to Support Adolescents and Young Adults With Cancer: Systematic Review","year":2019,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Beatson Cancer Charity","keywords":"Psychological intervention; Medicine; Intervention (counseling); Attrition; Digital health; Health care; MEDLINE; Gerontology; Family medicine; Nursing","score_opus":0.059815647384642755,"score_gpt":0.4102435943088609,"score_spread":0.3504279469242182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976467698","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000131256775,0.98179317,0.000011239459,0.00039490868,0.0006869263,0.01539413,0.0010052151,0.0001029187,0.00059837487],"genre_scores_gemma":[0.000087809676,0.98277986,0.000017988805,0.0016688528,0.0004107361,0.007463419,0.0002559032,0.00016572369,0.0071497005],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9959349,0.0001468381,0.0016624561,0.0009372609,0.0008244458,0.0004941198],"domain_scores_gemma":[0.99711025,0.000055501154,0.0010102947,0.0010846871,0.00024481115,0.00049445406],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033200227,0.00076108385,0.0054613035,0.00023168286,0.000058254136,0.0001063751,0.00034450903,0.00021521808,0.00033457167],"category_scores_gemma":[0.00012235869,0.0005356996,0.0009213757,0.00056340185,0.000067831555,0.00019476941,0.00019192275,0.00055919186,0.00029075585],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038388203,0.000098830795,0.00031664607,0.87646407,0.0005021396,0.00002016007,0.00024957833,3.3185145e-8,5.446302e-9,0.0000017990367,0.008615008,0.11369332],"study_design_scores_gemma":[0.00060133036,0.00031723233,0.000072000694,0.7530753,0.00607886,0.00017314412,0.000056082863,1.7180471e-7,3.3852963e-8,2.0385716e-7,0.23917533,0.0004503197],"about_ca_topic_score_codex":0.00034370043,"about_ca_topic_score_gemma":0.0010600649,"teacher_disagreement_score":0.23056033,"about_ca_system_score_codex":0.0006685599,"about_ca_system_score_gemma":0.0010554014,"threshold_uncertainty_score":0.9997094},"labels":[],"label_agreement":null},{"id":"W2978015138","doi":"10.2196/13217","title":"A Technology-Assisted, Brief Mind-Body Intervention to Improve the Waiting Room Experience for Chemotherapy Patients: Randomized Quality Improvement Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health","keywords":"Acupressure; Nausea; Anxiety; Medicine; Mindfulness-based stress reduction; Mindfulness; Physical therapy; Meditation; Randomized controlled trial; Intervention (counseling); Quality of life (healthcare); Guided imagery; Internal medicine; Alternative medicine; Psychiatry; Nursing; Clinical psychology","score_opus":0.01548563229877395,"score_gpt":0.3566848096536655,"score_spread":0.3411991773548916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978015138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848454,0.00019132144,0.0004502429,0.0019421496,0.0010102089,0.011299894,0.000038334394,0.00006141745,0.00016103576],"genre_scores_gemma":[0.9824324,0.000008662231,0.00005211222,0.0012933479,0.00017588219,0.014349095,0.000012668959,0.000027891654,0.0016479384],"study_design_codex":"design_other","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9981812,0.000078101606,0.0005571019,0.00051394,0.00034936244,0.000320294],"domain_scores_gemma":[0.99865323,0.00010849513,0.00026953066,0.0005629941,0.0003301798,0.00007555446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062984705,0.00021436985,0.0005955468,0.00009582716,0.0000919493,0.00004192169,0.00020343925,0.000095473406,0.00028455243],"category_scores_gemma":[0.000112574664,0.00014177112,0.00030907604,0.00030295787,0.00005627089,0.00007682701,0.00008142238,0.00016846723,0.000008519218],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.057473674,0.0014145172,0.067048736,0.00029416243,0.00042260013,9.2632365e-7,0.017862828,0.0000013171306,0.016768169,0.00011206699,0.0003639011,0.8382371],"study_design_scores_gemma":[0.6799593,0.00806407,0.09494428,0.0009863246,0.0004681638,0.0000023864434,0.09077089,0.00064785086,0.048227914,0.000153732,0.07465583,0.0011192354],"about_ca_topic_score_codex":0.0020622818,"about_ca_topic_score_gemma":0.0014031249,"teacher_disagreement_score":0.83711785,"about_ca_system_score_codex":0.00034253616,"about_ca_system_score_gemma":0.0000656361,"threshold_uncertainty_score":0.57812583},"labels":[],"label_agreement":null},{"id":"W2980137174","doi":"10.2196/13150","title":"Mediators of a Physical Activity Intervention on Cognition in Breast Cancer Survivors: Evidence From a Randomized Controlled Trial","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer-related cognitive impairment studies","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Breast cancer; Cognition; Randomized controlled trial; Anxiety; Mediation; Medicine; Physical therapy; Psychology; Clinical psychology; Cancer; Internal medicine; Psychiatry","score_opus":0.016949064790648373,"score_gpt":0.34744135237942153,"score_spread":0.33049228758877314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980137174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98654443,0.00055932323,0.000014224239,0.0014951349,0.0010251063,0.009855526,0.0001712593,0.000040254818,0.00029471982],"genre_scores_gemma":[0.9904117,0.0006449513,0.0000021395663,0.00012223625,0.0006576082,0.007894282,0.000012118231,0.000026039928,0.00022893217],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99781287,0.00044837274,0.00049256475,0.0004196389,0.00057779026,0.00024879334],"domain_scores_gemma":[0.9972703,0.0017071653,0.00051043776,0.00018873051,0.00024933676,0.00007403596],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004997236,0.0002644872,0.0020327268,0.00021599383,0.00002327618,0.0000105071385,0.00006859198,0.00011552299,0.0010720964],"category_scores_gemma":[0.00034488857,0.00019463844,0.00065882027,0.0002879604,0.00015220862,0.00019519452,0.000040812258,0.0003403528,0.000031840318],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9757385,0.0013349017,0.009850314,0.00015209036,0.0009399788,0.0000037344053,0.0008729908,0.000025312098,0.0038686441,0.0000049720115,0.00013468819,0.007073873],"study_design_scores_gemma":[0.9217092,0.0006789946,0.06692673,0.0056848233,0.00080159714,6.6431926e-7,0.00014759824,0.0014903137,0.0023121017,0.000053049658,0.000010966347,0.00018396671],"about_ca_topic_score_codex":0.009456364,"about_ca_topic_score_gemma":0.0018769284,"teacher_disagreement_score":0.057076417,"about_ca_system_score_codex":0.00046942767,"about_ca_system_score_gemma":0.00020251752,"threshold_uncertainty_score":0.99984103},"labels":[],"label_agreement":null},{"id":"W2980937342","doi":"10.2196/15008","title":"Usability of a Mobile Phone App Aimed at Adolescents and Young Adults During and After Cancer Treatment: Qualitative Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kræftens Bekæmpelse","keywords":"Usability; Mobile apps; Mobile phone; Qualitative research; Internet privacy; Cancer treatment; Psychology; Phone; Cancer; World Wide Web; Computer science; Medicine; Human–computer interaction; Telecommunications; Internal medicine; Sociology","score_opus":0.015053380694002682,"score_gpt":0.35260341770584697,"score_spread":0.3375500370118443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980937342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906129,0.005168475,3.7273603e-7,0.00015558554,0.00026329173,0.0034620932,0.00022006934,0.000046739024,0.00007047405],"genre_scores_gemma":[0.9947004,0.00060783396,0.000018799328,0.00014304649,0.00015971568,0.0030704238,0.000006627426,0.000042027128,0.0012511824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99776757,0.00020871095,0.0005260146,0.00070398155,0.00045894107,0.000334764],"domain_scores_gemma":[0.99886996,0.000072028044,0.0002339509,0.00047390902,0.00013032577,0.00021985626],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026102102,0.00031659784,0.00081280596,0.00008578097,0.00006266748,0.00001293503,0.00006464145,0.000094439536,0.0006474895],"category_scores_gemma":[0.00002023292,0.0002667771,0.00009518621,0.00018671525,0.00018271987,0.00013442914,0.00012535596,0.00014677546,0.000013181114],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004571403,0.0008326718,0.7916145,0.0014439552,0.00025423148,0.000006752584,0.1982771,0.0000017788733,0.0010432173,2.9661e-7,0.000040532457,0.0019136105],"study_design_scores_gemma":[0.012266005,0.000960906,0.9544231,0.001269936,0.00016206189,0.0000068739932,0.02817833,0.00001556168,0.002236134,0.0000043897057,0.0002077806,0.00026891718],"about_ca_topic_score_codex":0.013523943,"about_ca_topic_score_gemma":0.017082589,"teacher_disagreement_score":0.17009877,"about_ca_system_score_codex":0.0006134079,"about_ca_system_score_gemma":0.0001286492,"threshold_uncertainty_score":0.9999784},"labels":[],"label_agreement":null},{"id":"W2995300522","doi":"10.2196/15750","title":"A Novel Mobile Phone App Intervention With Phone Coaching to Reduce Symptoms of Depression in Survivors of Women’s Cancer: Pre-Post Pilot Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"American Cancer Society","keywords":"Medicine; mHealth; Psychological intervention; Health coaching; Intervention (counseling); Brief intervention; Mental health; Depression (economics); Coaching; Coping (psychology); Distress; Physical therapy; Psychiatry; Clinical psychology; Psychology; Psychotherapist","score_opus":0.01256758828540434,"score_gpt":0.3093303697038532,"score_spread":0.29676278141844886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995300522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99540395,0.00076312805,0.000078930236,0.000040187188,0.00057953363,0.002850403,0.00009611539,0.000036863305,0.00015087664],"genre_scores_gemma":[0.9950937,0.00003791533,0.00002611858,0.00008826153,0.00009318999,0.00378983,0.000013748727,0.00005170581,0.0008055238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980355,0.00007449497,0.0005144722,0.00047341353,0.0005290744,0.0003730818],"domain_scores_gemma":[0.9987814,0.00004731334,0.00028788924,0.00048313386,0.00024181919,0.0001584621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004072417,0.00023375258,0.00069851015,0.00026962187,0.000022945738,0.000009690134,0.00017425908,0.000058735233,0.00050308387],"category_scores_gemma":[0.000014575421,0.00019070247,0.00007321043,0.0006625385,0.00004351632,0.00012421681,0.00010444075,0.0002474061,0.0000052163227],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011384499,0.0032749488,0.7038774,0.001150979,0.00020792606,0.0000042625716,0.036515996,0.0014083127,0.2212979,0.0000019432218,0.00004577997,0.020830065],"study_design_scores_gemma":[0.012228748,0.012859149,0.90145844,0.004925431,0.000115805226,0.0000072734506,0.023865579,0.00015209818,0.043349836,0.000001515045,0.0006077172,0.00042842637],"about_ca_topic_score_codex":0.13163522,"about_ca_topic_score_gemma":0.11401299,"teacher_disagreement_score":0.19758105,"about_ca_system_score_codex":0.000879956,"about_ca_system_score_gemma":0.00023814765,"threshold_uncertainty_score":0.90215397},"labels":[],"label_agreement":null},{"id":"W2995726863","doi":"10.2196/16926","title":"Cancer Patients’ and Survivors’ Perceptions of the Calm App: Cross-Sectional Descriptive Study","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Meditation; Cancer; Coping (psychology); Survivorship curve; Cross-sectional study; Gerontology; Clinical psychology; Internal medicine","score_opus":0.01999842161605012,"score_gpt":0.32273587405610665,"score_spread":0.3027374524400565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995726863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99512166,0.00035460145,0.000002232209,0.00011400993,0.0016862829,0.0012560812,0.00019083444,0.00002472181,0.0012496008],"genre_scores_gemma":[0.9929063,0.000056862977,0.0000022258275,0.00026449264,0.00019808942,0.00049079227,0.000007681101,0.000022181644,0.006051421],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883175,0.00005245219,0.0002212728,0.00030173885,0.00040850285,0.00018426288],"domain_scores_gemma":[0.99920523,0.00002897069,0.00009637954,0.0002600711,0.00033141614,0.000077908255],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000942772,0.00014075516,0.00023626735,0.00005082074,0.0000997755,0.000020749574,0.000096756965,0.00007771271,0.0017893856],"category_scores_gemma":[0.00001046245,0.00009718608,0.000106818035,0.00024450928,0.00013461843,0.00008291033,0.00007966164,0.000213439,0.000011846005],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018561044,0.00024238184,0.99076694,0.00007171247,0.000082843035,3.5528333e-7,0.0069032568,0.000014150992,0.0004945887,0.000017836466,0.0003978594,0.00082246226],"study_design_scores_gemma":[0.0014676305,0.00023073843,0.992037,0.000056970854,0.00005103856,0.000001230478,0.0028374894,0.000015404474,0.0001089045,0.00000856752,0.0030741994,0.000110817855],"about_ca_topic_score_codex":0.021106357,"about_ca_topic_score_gemma":0.036509976,"teacher_disagreement_score":0.015403619,"about_ca_system_score_codex":0.00028414358,"about_ca_system_score_gemma":0.00020006202,"threshold_uncertainty_score":0.9991231},"labels":[],"label_agreement":null},{"id":"W2999538228","doi":"10.2196/14539","title":"Awareness of the Signs, Symptoms, and Risk Factors of Cancer and the Barriers to Seeking Help in the UK: Comparison of Survey Data Collected Online and Face-to-Face","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Cancer Research UK","keywords":"Marital status; Logistic regression; Population; Residence; Odds ratio; Medicine; Odds; Data collection; Demography; Psychology; Gerontology; Environmental health; Statistics; Pathology","score_opus":0.15295309547937186,"score_gpt":0.4096760624926755,"score_spread":0.25672296701330366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999538228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905108,0.004451739,0.000060160375,0.0020345845,0.000056280194,0.0010283854,0.0018401474,0.0000051113725,0.000012770521],"genre_scores_gemma":[0.99847484,0.0006377627,0.000024267176,0.0007414903,0.00003576511,0.00003823158,0.000023115706,0.000010853024,0.000013687768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850655,0.00025232098,0.00037541788,0.00030102886,0.00038441498,0.00018025542],"domain_scores_gemma":[0.9986818,0.00040143132,0.00023931493,0.0004042763,0.00012841947,0.00014475815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051575823,0.00015387201,0.00055620185,0.00004123362,0.00009908381,0.000015389774,0.00037069147,0.00006190099,0.000024447289],"category_scores_gemma":[0.00065208273,0.00007975619,0.000027740545,0.0007568325,0.0002480288,0.0000518385,0.00030264544,0.00023093334,4.5387534e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008917372,0.000012932422,0.9779715,0.0000959436,0.00009076082,4.2471964e-7,0.016481485,0.0008249207,0.0011501636,0.00000273175,0.001508483,0.0009689192],"study_design_scores_gemma":[0.0014999048,0.00019246094,0.9797954,0.0004040696,0.00013824437,7.042373e-7,0.011597933,0.0043987418,0.0012845126,0.000002454461,0.0005885187,0.00009706331],"about_ca_topic_score_codex":0.069469936,"about_ca_topic_score_gemma":0.07139938,"teacher_disagreement_score":0.007964006,"about_ca_system_score_codex":0.000045034074,"about_ca_system_score_gemma":0.0003389253,"threshold_uncertainty_score":0.94554514},"labels":[],"label_agreement":null},{"id":"W3003196218","doi":"10.2196/16476","title":"Use of Mental Health Apps by Patients With Breast Cancer in the United States: Pilot Pre-Post Study","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Mental Health; University of Virginia","keywords":"Medicine; Breast cancer; Mental health; Psychological intervention; Psychosocial; Distress; mHealth; Anxiety; Mood; Depression (economics); Cancer; Physical therapy; Psychiatry; Clinical psychology; Internal medicine","score_opus":0.027694631011754723,"score_gpt":0.3118652243889809,"score_spread":0.28417059337722617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003196218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98533577,0.00033055135,0.0000049649175,0.009039711,0.00008676901,0.002259582,0.0029026943,0.000024116904,0.000015843512],"genre_scores_gemma":[0.9877617,0.00024325034,0.0000033794597,0.010905131,0.00006774939,0.0005140764,0.00040733616,0.000029599829,0.000067804875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986105,0.00011704882,0.00026132242,0.00026771487,0.0004984754,0.00024493283],"domain_scores_gemma":[0.99931425,0.000026461086,0.00013616313,0.00021830751,0.00016292358,0.00014186748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007504796,0.00016797987,0.00030330973,0.0000600628,0.000048685797,0.000017536406,0.000121290715,0.00002384081,0.00025733066],"category_scores_gemma":[0.000003993705,0.00010370816,0.000030722258,0.0006691176,0.000057365076,0.0000924823,0.000032454212,0.00021213549,0.0000011448035],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004376869,0.0011731522,0.9270324,0.00018565817,0.000105892075,0.0000031500829,0.04515892,0.00011574939,0.000045433928,0.0000010827036,0.017153468,0.004648213],"study_design_scores_gemma":[0.0048967823,0.0041048964,0.95953405,0.00029466057,0.00004746001,0.0000010610676,0.011135281,0.0001564181,0.000025963014,2.21354e-7,0.019637467,0.0001657443],"about_ca_topic_score_codex":0.10132101,"about_ca_topic_score_gemma":0.048665497,"teacher_disagreement_score":0.052655514,"about_ca_system_score_codex":0.00025019946,"about_ca_system_score_gemma":0.00024798224,"threshold_uncertainty_score":0.96869385},"labels":[],"label_agreement":null},{"id":"W3003508067","doi":"10.2196/14476","title":"Facilitators and Barriers to Recruiting Ambulatory Oncology Practices Into a Large Multisite Study: Mixed Methods Study","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality","keywords":"Context (archaeology); Outreach; General partnership; Best practice; Medicine; Quality management; Fidelity; Ambulatory; Medical education; Inclusion (mineral); Oncology; Nursing; Psychology; Internal medicine; Computer science; Political science; Engineering; Operations management","score_opus":0.5836845368332361,"score_gpt":0.7534358402171139,"score_spread":0.16975130338387778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003508067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96599823,0.000053315984,0.0005924059,0.025402607,0.0006386097,0.0068499446,0.00007458077,0.00011939825,0.0002709297],"genre_scores_gemma":[0.93440616,0.000009502248,0.0071536093,0.05203801,0.00029386368,0.0059335423,8.2060154e-7,0.00002712944,0.00013737162],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99008256,0.007033743,0.00093850243,0.0007180985,0.0004264993,0.00080060994],"domain_scores_gemma":[0.9940292,0.003226987,0.00077170477,0.00029217682,0.0002389663,0.00144096],"candidate_categories":["metaresearch","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006509982,0.00019808876,0.00047213805,0.00015439688,0.0013455573,0.000025046307,0.0002635171,0.000108733184,0.0011164914],"category_scores_gemma":[0.012254586,0.00018395229,0.000027271892,0.0007866473,0.000053841784,0.00035600696,0.00046664054,0.00067175477,0.00013616968],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083883926,0.000039328475,0.49287793,0.00011096037,0.000030172609,0.0000065436716,0.4796016,0.0000027434726,0.0003824753,0.000013161171,0.0070925397,0.019758692],"study_design_scores_gemma":[0.0016083329,0.00071853655,0.2052289,0.000021184287,0.000020460691,1.9562432e-7,0.4093076,0.00010485171,0.000013208994,0.0000075882967,0.38282707,0.00014207544],"about_ca_topic_score_codex":0.0049828063,"about_ca_topic_score_gemma":0.016901787,"teacher_disagreement_score":0.37573454,"about_ca_system_score_codex":0.0006235522,"about_ca_system_score_gemma":0.001656475,"threshold_uncertainty_score":0.9999546},"labels":[],"label_agreement":null},{"id":"W3007742103","doi":"10.2196/16408","title":"Use of an Abbreviated Geriatric Screening Tool in the Assessment of Older Cancer Patients’ Functional Status, Dependency, and Comorbidities: Cross-Sectional Audit and Observations From a Regional Cancer Center in Australia","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Frailty in Older Adults","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Hunter New England Local Health District","keywords":"Medicine; Geriatric oncology; Context (archaeology); Cohort; Audit; Cancer; Disease; Comorbidity; Geriatrics; Family medicine; Gerontology; Internal medicine","score_opus":0.16664811240051655,"score_gpt":0.3796189891171674,"score_spread":0.21297087671665085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007742103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951562,0.00028673394,0.00004834952,0.0014361712,0.0001605923,0.0007896253,0.0021069415,0.00001064669,0.0000047015646],"genre_scores_gemma":[0.9965796,0.0004842986,0.0006373718,0.0009674607,0.00020535623,0.00051758235,0.00048271034,0.000018297404,0.00010733581],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99824804,0.0000889446,0.0005323606,0.00036668143,0.0005370825,0.0002269079],"domain_scores_gemma":[0.9991076,0.00016394739,0.00024015419,0.00014937374,0.0002545417,0.00008437885],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009418412,0.0001758064,0.00031152362,0.000107553205,0.000048247082,0.000036321057,0.000073596064,0.00010571286,0.00094283436],"category_scores_gemma":[0.000042366755,0.0001451729,0.000047986265,0.000372077,0.00014014143,0.00041090386,0.000047686884,0.00030778087,2.4358357e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002712735,0.00023032921,0.99343777,0.0001639459,0.00008141122,0.000003926327,0.0013655231,0.0009389134,0.00044220337,0.000024745857,0.0025697472,0.00047020306],"study_design_scores_gemma":[0.0038407014,0.00012694244,0.9921318,0.0003289431,0.00003796529,0.000001788118,0.00013446964,0.0020384628,0.000028435305,0.000019750038,0.0011762828,0.0001344364],"about_ca_topic_score_codex":0.02985012,"about_ca_topic_score_gemma":0.011168793,"teacher_disagreement_score":0.018681327,"about_ca_system_score_codex":0.00021922987,"about_ca_system_score_gemma":0.00035254008,"threshold_uncertainty_score":0.99997044},"labels":[],"label_agreement":null},{"id":"W3008089847","doi":"10.2196/16469","title":"Perceptions of eHealth-Enabled Physical Activity Interventions Among Cancer Survivors: Mixed Methods Study","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"eHealth; Psychological intervention; Thematic analysis; Focus group; Health literacy; Medicine; Cancer survivor; Psychology; Qualitative research; Gerontology; Cancer; Nursing; Health care; Political science; Business","score_opus":0.06934423261879535,"score_gpt":0.46207248942812745,"score_spread":0.3927282568093321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008089847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99294055,0.00040009836,0.0013755657,0.0024468212,0.00067671697,0.0013553485,0.00013996738,0.00011293691,0.00055199454],"genre_scores_gemma":[0.9962216,0.000104679995,0.000119956596,0.00025529537,0.0007105123,0.0017093294,0.000010299368,0.00004538244,0.0008229316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99810493,0.00041746048,0.00031965232,0.00047091715,0.00036907874,0.00031797547],"domain_scores_gemma":[0.99874675,0.00010393762,0.00020177013,0.00037202908,0.00025017216,0.0003253375],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002577229,0.00023240264,0.0007222881,0.000092074915,0.000103205784,0.00001810163,0.00015730828,0.00008898848,0.0014839602],"category_scores_gemma":[0.00005337977,0.00020721737,0.00048066926,0.00071557896,0.00012962655,0.00015103338,0.00011016811,0.00043917765,0.000010496528],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011604594,0.0042715324,0.66645825,0.0028641562,0.00092095387,0.00001808285,0.05308695,0.00013464341,0.024995804,0.00005626006,0.0047947895,0.24123812],"study_design_scores_gemma":[0.0016407579,0.00088166003,0.97542244,0.00039055885,0.0005293258,9.364165e-7,0.01317649,0.0009062225,0.003180634,0.000015587288,0.0035821085,0.00027328008],"about_ca_topic_score_codex":0.03363444,"about_ca_topic_score_gemma":0.07001836,"teacher_disagreement_score":0.3089642,"about_ca_system_score_codex":0.0002559554,"about_ca_system_score_gemma":0.0002849374,"threshold_uncertainty_score":0.9994288},"labels":[],"label_agreement":null},{"id":"W3011977173","doi":"10.2196/15859","title":"Assessing Breast Cancer Survivors’ Perceptions of Using Voice-Activated Technology to Address Insomnia: Feasibility Study Featuring Focus Groups and In-Depth Interviews","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Formative assessment; Insomnia; Focus group; Anxiety; Population; Usability; Psychology; Clinical psychology; Medicine; Psychiatry; Computer science","score_opus":0.07420051150002446,"score_gpt":0.40070840774977656,"score_spread":0.32650789624975207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011977173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937607,0.0009500795,0.00008401052,0.0030471536,0.000257755,0.0016280313,0.000088899025,0.000093040144,0.00009030402],"genre_scores_gemma":[0.99885434,0.00008901614,0.000065855194,0.00030173245,0.00021158574,0.00040961237,0.0000038783314,0.00004770999,0.000016285607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981337,0.00012738224,0.00045880093,0.00064409757,0.00028265992,0.000353312],"domain_scores_gemma":[0.9989692,0.000032163513,0.00015388249,0.00035571534,0.00026435516,0.00022470033],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018146397,0.0002753063,0.0007205931,0.00030473244,0.00008352982,0.00004455429,0.00016037363,0.00016801966,0.00017951896],"category_scores_gemma":[0.000040723655,0.000254283,0.000079347716,0.0016526271,0.00010827817,0.00026378513,0.00023853379,0.0005119352,0.0000018653458],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000496642,0.0003002347,0.9118903,0.00033240774,0.00006998375,0.00001954095,0.010978103,0.00004484466,0.057809997,0.0000011579261,0.000024849123,0.018031925],"study_design_scores_gemma":[0.0015894794,0.00018635162,0.97350854,0.000729464,0.00010434638,0.000018475019,0.02088686,0.00009892501,0.0024589547,0.00000578058,0.00016307553,0.0002497409],"about_ca_topic_score_codex":0.023450222,"about_ca_topic_score_gemma":0.18704337,"teacher_disagreement_score":0.16359314,"about_ca_system_score_codex":0.00057977834,"about_ca_system_score_gemma":0.00026745026,"threshold_uncertainty_score":0.99999094},"labels":[],"label_agreement":null},{"id":"W3014070088","doi":"10.2196/16974","title":"Expression of Genes Related to Lipid Handling and the Obesity Paradox in Melanoma: Database Analysis","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cancer; Colorectal cancer; Obesity; Medicine; Melanoma; Transcriptome; Database; Bioinformatics; Oncology; Internal medicine; Risk factor; In silico; Psychological intervention; Gene; Biology; Gene expression; Cancer research; Genetics","score_opus":0.010992646297671797,"score_gpt":0.27380143553213165,"score_spread":0.2628087892344599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014070088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892669,0.009098232,0.0002826306,0.0005650023,0.0004023006,0.00024092819,0.00006185853,0.00000466045,0.00007751798],"genre_scores_gemma":[0.9952066,0.00280826,0.0001550263,0.0004304404,0.0011862051,0.0000874615,0.00003809964,0.000008424867,0.000079508485],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992763,0.000061674466,0.000187253,0.00026834314,0.00008649069,0.000119935285],"domain_scores_gemma":[0.9995947,0.000012254013,0.00006819983,0.0002174027,0.000032254342,0.00007517488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012735643,0.000092218856,0.00023489968,0.000039878676,0.000034630048,0.000008579922,0.000112029564,0.0000648164,0.00004020659],"category_scores_gemma":[0.000035335943,0.00006587357,0.00007801289,0.00028741165,0.00005803441,0.0000039677234,0.00012304113,0.000063444044,8.9137757e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091285823,0.000039808467,0.061467964,0.00005604966,0.0001685921,2.3639504e-7,0.0012958593,0.0011999833,0.92423785,0.00005293369,0.007489702,0.0030781655],"study_design_scores_gemma":[0.006245271,0.00014692114,0.085471824,0.00009843732,0.0005237852,0.0000021563797,0.0007153262,0.00133026,0.5157691,0.000026185604,0.38915533,0.00051536557],"about_ca_topic_score_codex":0.0003206192,"about_ca_topic_score_gemma":0.00042707118,"teacher_disagreement_score":0.40846872,"about_ca_system_score_codex":0.000006506417,"about_ca_system_score_gemma":0.00004284066,"threshold_uncertainty_score":0.26862463},"labels":[],"label_agreement":null},{"id":"W3032973540","doi":"10.2196/17352","title":"Differences in Electronic Personal Health Information Tool Use Between Rural and Urban Cancer Patients in the United States: Secondary Data Analysis","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Health Information National Trends Survey; Cancer; Medicine; Rural area; Logistic regression; Health care; Family medicine; Demography; Environmental health; Gerontology; Health information; Internal medicine; Economic growth; Pathology","score_opus":0.038821411842043005,"score_gpt":0.31362001619949614,"score_spread":0.2747986043574531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032973540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926649,0.001061005,0.000016409625,0.004467379,0.00003538119,0.00047438685,0.0012532289,0.000014098817,0.000013254821],"genre_scores_gemma":[0.98591256,0.0017505805,0.0000020689658,0.008403065,0.00009381281,0.00012972912,0.0036895927,0.0000065266518,0.000012080984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884105,0.000096852695,0.00029465833,0.00018798071,0.00029271774,0.00028676516],"domain_scores_gemma":[0.9995058,0.00006380806,0.00010947967,0.0001856268,0.00005092031,0.00008434148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014972681,0.000128083,0.00031471238,0.00021021029,0.000044599838,0.000058878337,0.00015691847,0.000047068093,0.00015016872],"category_scores_gemma":[0.000018590978,0.00009157046,0.00003466052,0.0012661692,0.000037367776,0.0004744325,0.00005797643,0.00036044815,0.0000010893967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013095488,0.000018303614,0.9525541,0.00010743545,0.00011173008,5.684478e-7,0.02863124,0.0000069010644,3.393211e-7,0.000004650956,0.0019039848,0.0165298],"study_design_scores_gemma":[0.0010200904,0.00016474779,0.9704938,0.000071967515,0.00010098993,1.3088143e-7,0.0036470082,0.0030319206,9.866517e-7,0.0000034001584,0.021359006,0.000105944804],"about_ca_topic_score_codex":0.05172805,"about_ca_topic_score_gemma":0.08049161,"teacher_disagreement_score":0.028763555,"about_ca_system_score_codex":0.00028551152,"about_ca_system_score_gemma":0.00043264922,"threshold_uncertainty_score":0.95458657},"labels":[],"label_agreement":null},{"id":"W3034107158","doi":"10.2196/16138","title":"Beliefs and Information Seeking in Patients With Cancer in Southwest China: Survey Study","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Nanjing University","keywords":"China; Cancer; Information seeking; Psychology; Geography; Family medicine; Medicine; Information retrieval; Computer science; Archaeology; Internal medicine","score_opus":0.03672458451035587,"score_gpt":0.3214294715722497,"score_spread":0.28470488706189384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034107158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99811333,0.00018838783,0.000008414077,0.00053815293,0.00004599796,0.0008583055,0.00005549585,0.000018349292,0.00017357133],"genre_scores_gemma":[0.99847436,0.000037295402,0.000015423164,0.0011950398,0.000059135495,0.00017700632,0.000024806272,0.000009317186,0.000007621004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990532,0.00003703725,0.00023338257,0.00017768846,0.00030214034,0.0001965891],"domain_scores_gemma":[0.9996453,0.000012039633,0.00007981953,0.00008788702,0.000079519574,0.00009541958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014290112,0.00011986676,0.00023842046,0.00008110543,0.000029777693,0.00002498451,0.000052138956,0.000042604133,0.00006415085],"category_scores_gemma":[0.000034699322,0.000096251635,0.0000113449705,0.00048722207,0.00002151589,0.0005018929,0.000038755326,0.00020396149,0.0000036349818],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008008677,0.00005239531,0.9842658,0.000045331384,0.000014916701,0.0000062425347,0.008105045,0.00026789217,0.0000031277223,0.000001335889,0.000108338594,0.006328703],"study_design_scores_gemma":[0.004170955,0.00046227194,0.99378365,0.00024608013,0.00001159076,2.8014392e-7,0.00073539367,0.00019902541,0.000003424952,7.0417025e-7,0.0002727237,0.00011387269],"about_ca_topic_score_codex":0.028753765,"about_ca_topic_score_gemma":0.040909898,"teacher_disagreement_score":0.012156133,"about_ca_system_score_codex":0.00018237076,"about_ca_system_score_gemma":0.00013897555,"threshold_uncertainty_score":0.9777138},"labels":[],"label_agreement":null},{"id":"W3035702769","doi":"10.2196/18230","title":"Assessment of Data Usage of Cancer e-Interventions (ADUCI) Framework for Health App Use of Cancer Patients and Their Caregivers: Framework Development Study","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council; Barwon Health Foundation; National Health and Medical Research Council; Peter MacCallum Cancer Centre","keywords":"Psychological intervention; Login; Duration (music); Usage data; Computer science; Population; Formative assessment; Data extraction; World Wide Web; Medicine; MEDLINE; Nursing; Psychology","score_opus":0.23728078807032477,"score_gpt":0.5575890455489794,"score_spread":0.3203082574786546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035702769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87338436,0.010181171,0.049524467,0.011726522,0.0014238468,0.034870114,0.01872268,0.000113275586,0.000053571584],"genre_scores_gemma":[0.9387592,0.0041812714,0.021339301,0.0028091741,0.00024423024,0.032310463,0.00022198136,0.00005975911,0.000074594456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962301,0.00031130813,0.0017879743,0.00069457333,0.00037101097,0.000605035],"domain_scores_gemma":[0.995484,0.00076468807,0.0018587752,0.0007809102,0.0006220159,0.00048959855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056943553,0.0002667142,0.0009161647,0.00011369458,0.00046872886,0.0000068222857,0.00048770622,0.00021815262,0.00042475737],"category_scores_gemma":[0.00019077936,0.00022978117,0.00009872554,0.0004973776,0.00010125642,0.00019052389,0.00041623015,0.0006145849,0.0000011361916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024541008,0.0012879157,0.84982634,0.0149853155,0.0003302263,1.1532452e-7,0.021939496,0.000068135676,0.000022882605,0.0016213219,0.014163943,0.09550889],"study_design_scores_gemma":[0.0026388029,0.000788891,0.8519264,0.005775459,0.00012343145,2.5098593e-8,0.00653838,0.00042666926,0.000055002154,0.00021108639,0.13122122,0.00029463906],"about_ca_topic_score_codex":0.008680615,"about_ca_topic_score_gemma":0.009024158,"teacher_disagreement_score":0.11705728,"about_ca_system_score_codex":0.00044704808,"about_ca_system_score_gemma":0.0039073066,"threshold_uncertainty_score":0.9979207},"labels":[],"label_agreement":null},{"id":"W3036501325","doi":"10.2196/18143","title":"Incorporating Breast Cancer Recurrence Events Into Population-Based Cancer Registries Using Medical Claims: Cohort Study","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"AI in cancer detection","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health; Kaiser Permanente; American Cancer Society","keywords":"Medicine; Breast cancer; Cancer; Cohort; Oncology; Cancer recurrence; Cohort study; Population; Internal medicine; Cancer registry; Environmental health","score_opus":0.03432072456900001,"score_gpt":0.3464802537043374,"score_spread":0.3121595291353374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036501325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9085304,0.0007746171,0.069555864,0.015330378,0.0030846123,0.0020444095,0.00009932493,0.0005386425,0.00004173745],"genre_scores_gemma":[0.99346715,0.000073951065,0.0018077752,0.0019026349,0.001134769,0.0015415602,0.000007500713,0.000041997362,0.000022685499],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959777,0.00022764801,0.00065393676,0.0011135446,0.001575605,0.0004515755],"domain_scores_gemma":[0.99801135,0.00008515867,0.0005753722,0.000600377,0.00033858663,0.00038914732],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041849609,0.0003646474,0.00046046317,0.00011676856,0.000436714,0.00015296458,0.001145339,0.00017868969,0.00036528838],"category_scores_gemma":[0.0000729579,0.00035884918,0.000097557204,0.0015452565,0.00009551185,0.0008273988,0.00033875817,0.0005306161,0.0000092147375],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006244529,0.000076634,0.9417015,0.00008546866,0.000067470995,0.000013742782,0.0008843538,0.008291015,0.00008029792,0.000048487298,0.0010379318,0.047650687],"study_design_scores_gemma":[0.0011955976,0.0001719123,0.6349976,0.0006223093,0.000064969994,0.000009924835,0.00014051728,0.3608268,0.0002770816,0.0003467635,0.00061557227,0.0007309372],"about_ca_topic_score_codex":0.035451297,"about_ca_topic_score_gemma":0.009383725,"teacher_disagreement_score":0.35253578,"about_ca_system_score_codex":0.0016527553,"about_ca_system_score_gemma":0.0020904073,"threshold_uncertainty_score":0.99988633},"labels":[],"label_agreement":null},{"id":"W3048785582","doi":"10.2196/20288","title":"Telehealth and Palliative Care for Patients With Cancer: Implications of the COVID-19 Pandemic","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Telehealth; Medicine; Palliative care; Pandemic; Telemedicine; Isolation (microbiology); Psychological intervention; Intensive care medicine; Coronavirus disease 2019 (COVID-19); Population; Incidence (geometry); Cancer; Health care; Medical emergency; Family medicine; Nursing; Disease; Internal medicine; Environmental health; Infectious disease (medical specialty)","score_opus":0.11927150853299359,"score_gpt":0.45841684932293114,"score_spread":0.3391453407899375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048785582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8790513,0.0022577166,0.00015562131,0.11389311,0.00006319511,0.0032987238,0.0011959489,0.000038870454,0.00004547131],"genre_scores_gemma":[0.9587784,0.0006984535,0.000055400076,0.039498486,0.00012813405,0.00077455933,0.000023997174,0.000016004731,0.000026591924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992769,0.00001903866,0.00016353432,0.00020881939,0.00014577783,0.00018597336],"domain_scores_gemma":[0.99894816,0.000119788,0.00014713404,0.00016373453,0.0002534183,0.0003677621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002937121,0.00009777991,0.0002268623,0.000022191185,0.00013430152,0.000004241673,0.000065551234,0.000053816326,0.000036747566],"category_scores_gemma":[0.00013220812,0.000059492413,0.00003891914,0.0002055349,0.000074337746,0.000026903415,0.000024011664,0.00012008183,2.9123225e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042399848,0.00002196819,0.9730164,0.0017072406,0.00002813422,1.0186865e-7,0.00775794,0.00001198303,0.00004503769,0.00005127877,0.0035558688,0.013380076],"study_design_scores_gemma":[0.0022951306,0.00043380552,0.8814109,0.00011119247,0.000058834965,2.7650094e-7,0.0003274539,0.000011576484,0.000026640142,0.000029895395,0.11522912,0.00006518013],"about_ca_topic_score_codex":0.0029450678,"about_ca_topic_score_gemma":0.005385052,"teacher_disagreement_score":0.11167325,"about_ca_system_score_codex":0.00052790245,"about_ca_system_score_gemma":0.0024152943,"threshold_uncertainty_score":0.44520813},"labels":[],"label_agreement":null},{"id":"W3080357945","doi":"10.2196/17771","title":"Information Needs About Cancer Treatment, Fertility, and Pregnancy: Qualitative Descriptive Study of Reddit Threads","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Research Canada; Centre for Advancing Health Outcomes; University of British Columbia","funders":"","keywords":"Fertility; Psychosocial; Thematic analysis; Fertility preservation; Family medicine; Infertility; Medicine; Cancer; Cancer survivor; Pregnancy; Qualitative research; Gynecology; Gerontology; Psychiatry; Population; Environmental health; Sociology","score_opus":0.0937917346385808,"score_gpt":0.39565412105208075,"score_spread":0.30186238641349994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080357945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99218047,0.0040104766,0.00002541396,0.0010750646,0.00010455812,0.0016834547,0.00011656083,0.000037096095,0.00076693774],"genre_scores_gemma":[0.9984073,0.00028160555,0.000019468876,0.00017129067,0.00005960963,0.0008141372,0.000017618271,0.0000075109865,0.00022144792],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99907744,0.00012630249,0.0003132263,0.00019305226,0.00013921219,0.00015076318],"domain_scores_gemma":[0.9992418,0.000035272442,0.00015853194,0.00021742562,0.00024344138,0.0001035051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009702825,0.00016082483,0.00039351144,0.000057486406,0.00005684476,0.000006893683,0.000048278533,0.00008481303,0.00014384926],"category_scores_gemma":[0.00008079882,0.000115601404,0.000049369613,0.00028684852,0.000176168,0.00026105111,0.000036474547,0.000116420466,0.0000044118583],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006586723,0.0004952002,0.3466606,0.00021710918,0.0004643439,0.0000013047452,0.60607636,0.0000037686625,0.0014667866,0.000029104176,0.00027176723,0.03772696],"study_design_scores_gemma":[0.002440413,0.0024034109,0.9309705,0.00014126548,0.0001509805,3.9752558e-7,0.060322143,0.000025766962,0.002390333,0.0000744279,0.0009782772,0.00010206494],"about_ca_topic_score_codex":0.0015003756,"about_ca_topic_score_gemma":0.00020719552,"teacher_disagreement_score":0.58430994,"about_ca_system_score_codex":0.00018275398,"about_ca_system_score_gemma":0.00016228687,"threshold_uncertainty_score":0.47140884},"labels":[],"label_agreement":null},{"id":"W3090159198","doi":"10.2196/18083","title":"A Smartphone Remote Monitoring App to Follow Up Colorectal Cancer Survivors: Requirement Analysis","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Viewpoints; Medicine; Colorectal cancer; eHealth; Smartphone application; Set (abstract data type); mHealth; Computer science; Cancer; Multimedia; Nursing; Internal medicine; Psychological intervention; Health care","score_opus":0.04187779393115273,"score_gpt":0.33765006829148164,"score_spread":0.29577227436032894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090159198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832291,0.0023491892,0.0005472489,0.008925958,0.0024055752,0.0009299946,0.00011050269,0.00024139043,0.001261055],"genre_scores_gemma":[0.9914731,0.0004313106,0.0001766615,0.0025264393,0.0023212577,0.00062306295,0.00002639778,0.00006342658,0.0023583744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975472,0.00005252165,0.00040321492,0.00071927655,0.0007288676,0.0005489293],"domain_scores_gemma":[0.9985549,0.00003337384,0.00011923177,0.000364293,0.00025541752,0.00067278347],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014616842,0.00032175521,0.0007294148,0.000204867,0.0001050207,0.000051961164,0.00019878673,0.00013076984,0.0013631402],"category_scores_gemma":[0.000039345403,0.00030338482,0.00042203793,0.0024363957,0.000038296024,0.00009814794,0.00011757219,0.0002787175,0.000071775336],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004638342,0.000115447416,0.7515876,0.0005646239,0.004101002,0.00014084017,0.028087603,0.00081310305,0.0580065,0.000011839857,0.014833545,0.1370995],"study_design_scores_gemma":[0.005920728,0.0012733721,0.48925918,0.0009380161,0.004638537,0.00000641815,0.0049747736,0.002385354,0.09775562,0.000016339463,0.39107338,0.0017582745],"about_ca_topic_score_codex":0.03863753,"about_ca_topic_score_gemma":0.06834799,"teacher_disagreement_score":0.37623984,"about_ca_system_score_codex":0.00071585434,"about_ca_system_score_gemma":0.00030719172,"threshold_uncertainty_score":0.9999418},"labels":[],"label_agreement":null},{"id":"W3091660119","doi":"10.2196/21697","title":"The Impact of COVID-19 on Cancer Screening: Challenges and Opportunities","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":161,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Cancer; Health care; Cancer screening; Family medicine; Environmental health; Intensive care medicine; Medical emergency; Disease; Pathology; Economic growth; Internal medicine; Infectious disease (medical specialty)","score_opus":0.41340941600503217,"score_gpt":0.4994396232305053,"score_spread":0.08603020722547311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091660119","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30823588,0.07188068,0.00001539714,0.6168034,0.00010134217,0.0008289501,0.00014454326,0.00008234632,0.0019074372],"genre_scores_gemma":[0.9039332,0.07911266,0.00000535732,0.016092407,0.00041414172,0.00011702458,0.000003037259,0.000019833193,0.0003023429],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990875,0.000044792574,0.00018269934,0.00019406836,0.0002376902,0.00025323514],"domain_scores_gemma":[0.9986862,0.00023822761,0.00010782861,0.0001849815,0.00008419883,0.00069858815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013710077,0.00014141767,0.00028292037,0.000047143978,0.0001080339,0.000011906052,0.000073102005,0.00007016003,0.00024817674],"category_scores_gemma":[0.00019351824,0.00008448297,0.0000897073,0.00007194454,0.00013108263,0.000043823075,0.000034324254,0.00018950686,0.0000016038413],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046488564,0.00009455582,0.020296596,0.002375047,0.00048474595,0.000092608796,0.027205538,0.00019687574,0.0006867139,0.0019504214,0.086204045,0.855764],"study_design_scores_gemma":[0.002826807,0.0025736,0.33650702,0.0005033899,0.00008649906,0.0000126628665,0.0037536225,0.00047752893,0.00025683572,0.00016406932,0.6525764,0.00026157542],"about_ca_topic_score_codex":0.0040013073,"about_ca_topic_score_gemma":0.0006572211,"teacher_disagreement_score":0.8555024,"about_ca_system_score_codex":0.00022647966,"about_ca_system_score_gemma":0.0018124628,"threshold_uncertainty_score":0.60488063},"labels":[],"label_agreement":null},{"id":"W3092286163","doi":"10.2196/20137","title":"The Tablet-Based, Engagement, Assessment, Support, and Sign-Posting (EASSi) Tool for Facilitating and Structuring Sexual Well-Being Conversations in Routine Prostate Cancer Care: Mixed-Methods Study","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute for Health and Care Research; National Institute for Health Research Southampton Biomedical Research Centre; Prostate Cancer UK; Movember Foundation","keywords":"Conversation; Medicine; Health care; Health professionals; Qualitative research; Reproductive health; Nursing; Family medicine; Psychology; Medical education","score_opus":0.025129416840547657,"score_gpt":0.3838064251213002,"score_spread":0.35867700828075255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092286163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99158627,0.0012885752,0.0011734655,0.0020441278,0.0003681606,0.0030758264,0.00017199563,0.00006512334,0.000226449],"genre_scores_gemma":[0.9947021,0.00008061501,0.0016699521,0.0008326844,0.00022143529,0.0022583045,0.000038607457,0.000041382405,0.00015489761],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99808395,0.00027063157,0.00042231387,0.00054133066,0.00025826937,0.00042348463],"domain_scores_gemma":[0.99856484,0.0007839344,0.00016897266,0.00018360773,0.00015502794,0.00014359357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007775117,0.00024955982,0.0003598392,0.000056042696,0.00045001836,0.00013236386,0.000085011125,0.000057301797,0.00006363456],"category_scores_gemma":[0.00018751976,0.0002057202,0.00004207771,0.000272456,0.00008267903,0.00014583014,0.000111663896,0.0003895504,2.6586912e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036603014,0.000032763,0.71904945,0.0011628311,0.00013688399,0.0000139509475,0.05717279,0.00039363292,0.002882344,0.000045827866,0.00026564964,0.21847786],"study_design_scores_gemma":[0.0147458,0.0020409953,0.45911592,0.0004714649,0.00059085054,0.0000053017534,0.4635028,0.0173239,0.0028076898,0.00005518099,0.038350422,0.0009896831],"about_ca_topic_score_codex":0.0022654864,"about_ca_topic_score_gemma":0.00648493,"teacher_disagreement_score":0.40633,"about_ca_system_score_codex":0.00030243228,"about_ca_system_score_gemma":0.00042456647,"threshold_uncertainty_score":0.8389026},"labels":[],"label_agreement":null},{"id":"W3095825730","doi":"10.2196/24137","title":"eHealth Practices in Cancer Survivors With BMI in Overweight or Obese Categories: Latent Class Analysis Study","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"eHealth; Overweight; Medicine; Latent class model; Logistic regression; Health Information National Trends Survey; Body mass index; Gerontology; Obesity; Odds ratio; Odds; Cross-sectional study; Comorbidity; Cancer; Family medicine; Health care; Internal medicine; Health information","score_opus":0.06808176609906312,"score_gpt":0.39072985027474316,"score_spread":0.32264808417568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095825730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864568,0.0020071277,0.000009262978,0.008931285,0.00026229967,0.0015384477,0.000055982815,0.00006194373,0.00067681685],"genre_scores_gemma":[0.9932213,0.0012222608,0.000011496536,0.0026256663,0.0003240503,0.0016005136,0.000022350576,0.0000475559,0.0009248234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973603,0.00019215194,0.0005107162,0.0007491319,0.0006734402,0.00051428896],"domain_scores_gemma":[0.9985958,0.00011532315,0.00039530505,0.00040324213,0.000166401,0.00032392814],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002892815,0.00031607994,0.0008876863,0.0003516253,0.000050780844,0.00004490849,0.00018197042,0.00011897426,0.0014108364],"category_scores_gemma":[0.0000597364,0.00022035706,0.000106184016,0.0042342097,0.000058940677,0.0002442986,0.000061127466,0.0005754896,0.000009343142],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0045215907,0.00058538496,0.9640655,0.00036357623,0.0005640698,0.00038128434,0.02686521,0.0006202869,0.00002049206,0.000011656058,0.00041538014,0.0015856042],"study_design_scores_gemma":[0.0038297793,0.001644975,0.9410134,0.00020985436,0.0008223638,0.0000029435234,0.02190941,0.0010960355,0.0000568256,0.0000032864205,0.02898878,0.00042233858],"about_ca_topic_score_codex":0.3231631,"about_ca_topic_score_gemma":0.9556876,"teacher_disagreement_score":0.6325245,"about_ca_system_score_codex":0.0008554685,"about_ca_system_score_gemma":0.0012644909,"threshold_uncertainty_score":0.999502},"labels":[],"label_agreement":null},{"id":"W3097639377","doi":"10.2196/22825","title":"Evaluation of a Remote Symptom Assessment and Management (SAM) System for People Receiving Adjuvant Chemotherapy for Breast or Colorectal Cancer: Mixed Methods Study","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Breast cancer; Anxiety; Distress; Feeling; Quality of life (healthcare); Depression (economics); Physical therapy; Colorectal cancer; Intervention (counseling); Cancer; Psychology; Clinical psychology; Internal medicine; Psychiatry; Nursing","score_opus":0.05395346128061571,"score_gpt":0.43982862260790445,"score_spread":0.3858751613272887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097639377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9652324,0.0015807359,0.016248569,0.0027019617,0.00088555994,0.012696487,0.00036480106,0.00008849688,0.0002010134],"genre_scores_gemma":[0.9856963,0.00032530958,0.0068527455,0.00022607278,0.00036485514,0.00635868,0.000018534549,0.000054628355,0.00010284738],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9981309,0.00019764811,0.00037568537,0.00047346487,0.0005819298,0.00024036679],"domain_scores_gemma":[0.9987347,0.00013080469,0.00022634772,0.00019080177,0.0005852251,0.0001321253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014639661,0.00020697316,0.0006394046,0.000066858345,0.00008110518,0.00002311818,0.0000906599,0.00006720591,0.00010085922],"category_scores_gemma":[0.000023463299,0.00016743492,0.00012217951,0.00029716053,0.000021288433,0.000054380518,0.000044124074,0.00007828763,1.7102026e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003281973,0.00014086156,0.00918133,0.0038253067,0.0009260587,0.0000014330029,0.008948442,0.000051227184,0.002573934,0.000019234478,0.0010042344,0.970046],"study_design_scores_gemma":[0.032670815,0.0041871695,0.7370874,0.0024488696,0.005412476,0.000021299511,0.05635473,0.14734389,0.005341993,0.000031013744,0.008413969,0.0006863651],"about_ca_topic_score_codex":0.0010288443,"about_ca_topic_score_gemma":0.007915904,"teacher_disagreement_score":0.9693596,"about_ca_system_score_codex":0.00085862126,"about_ca_system_score_gemma":0.00046061917,"threshold_uncertainty_score":0.6827798},"labels":[],"label_agreement":null},{"id":"W3099609052","doi":"10.2196/19362","title":"Web-Based Lifestyle Interventions for Prostate Cancer Survivors: Qualitative Study","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"Focus group; Psychological intervention; Grounded theory; Medicine; Prostate cancer; Population; Quality of life (healthcare); Physical therapy; Gerontology; Randomized controlled trial; Psychology; Qualitative research; Cancer; Nursing; Internal medicine","score_opus":0.07471711154980064,"score_gpt":0.43197338225310306,"score_spread":0.3572562707033024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099609052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96824646,0.0034537602,0.0004980524,0.019677993,0.0010131279,0.0050839223,0.0012761742,0.00026750666,0.0004830322],"genre_scores_gemma":[0.9835267,0.00007468062,0.000057998444,0.0032918109,0.00065130246,0.010072496,0.00006857334,0.00006397287,0.0021924437],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983288,0.00014802406,0.00038847944,0.00047853182,0.0003244118,0.0003317355],"domain_scores_gemma":[0.9988581,0.00012940544,0.00014954932,0.00024267126,0.0003492916,0.0002710065],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002537407,0.00023055414,0.0004680713,0.00008131898,0.000100949714,0.000036106605,0.00012617822,0.00006814554,0.000959583],"category_scores_gemma":[0.00007115206,0.0002044043,0.000367537,0.00044997045,0.000065345135,0.00008954776,0.000038132875,0.00021239073,0.000022601233],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0077452613,0.0027873989,0.26222026,0.008548116,0.0015531782,0.00006463458,0.58907986,0.0002894374,0.0021459265,0.00018603423,0.08528774,0.040092174],"study_design_scores_gemma":[0.028987525,0.008745874,0.044353664,0.0034024687,0.0015462216,0.0000021768506,0.2845025,0.0029785153,0.0026020398,0.00011357612,0.6211417,0.001623784],"about_ca_topic_score_codex":0.006857171,"about_ca_topic_score_gemma":0.07523656,"teacher_disagreement_score":0.5358539,"about_ca_system_score_codex":0.0002107334,"about_ca_system_score_gemma":0.0005481207,"threshold_uncertainty_score":0.9999537},"labels":[],"label_agreement":null},{"id":"W3100446339","doi":"10.2196/24222","title":"Virtual Cancer Care During the COVID-19 Pandemic and Beyond: A Call for Evaluation","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McMaster University; Hamilton Health Sciences; Juravinski Cancer Centre","funders":"","keywords":"Pandemic; Telehealth; Medicine; Context (archaeology); Telemedicine; Health care; Intervention (counseling); Cancer; Medical emergency; Nursing; Coronavirus disease 2019 (COVID-19); Family medicine; Disease; Internal medicine; Political science","score_opus":0.1409701491044539,"score_gpt":0.47917432628502493,"score_spread":0.33820417718057105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100446339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.884694,0.008658799,0.00009690226,0.103371784,0.00019858041,0.0026142115,0.00020331517,0.00008195634,0.000080492566],"genre_scores_gemma":[0.92939585,0.00076067704,0.000011865182,0.067007646,0.0009299824,0.001649583,0.000020319338,0.000023105067,0.0002009547],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988925,0.00004785241,0.00017906606,0.00029071062,0.00032263686,0.00026722302],"domain_scores_gemma":[0.9989904,0.00014602474,0.000074747855,0.00014919032,0.00018643732,0.0004531546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001883169,0.00012936552,0.00021408711,0.000036770132,0.00020571427,0.000019310704,0.00006219642,0.000092154616,0.00023932547],"category_scores_gemma":[0.0003877148,0.00009058252,0.00005985358,0.00013775332,0.00005377646,0.000056407327,0.00003415178,0.00018906462,0.0000028231634],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004579492,0.000045449684,0.6145489,0.006427385,0.00023765017,0.000019288422,0.11809712,0.0011721997,0.010846752,0.000121449564,0.048229825,0.19567448],"study_design_scores_gemma":[0.016170938,0.0009815934,0.36556447,0.0002306946,0.0005593127,0.000033079647,0.005760631,0.0048620715,0.000495407,0.00008995956,0.60480237,0.00044948794],"about_ca_topic_score_codex":0.0023049072,"about_ca_topic_score_gemma":0.0051830905,"teacher_disagreement_score":0.5565725,"about_ca_system_score_codex":0.0011336044,"about_ca_system_score_gemma":0.0023060443,"threshold_uncertainty_score":0.40908235},"labels":[],"label_agreement":null},{"id":"W3100763221","doi":"10.2196/16785","title":"Effects and Implementation of a Mindfulness and Relaxation App for Patients With Cancer: Mixed Methods Feasibility Study","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mindfulness; Medicine; Psychological intervention; Distress; Quality of life (healthcare); Anxiety; Intervention (counseling); Cancer; Clinical psychology; Depression (economics); Physical therapy; Psychiatry; Nursing; Internal medicine","score_opus":0.022211347903626624,"score_gpt":0.39617747943614323,"score_spread":0.3739661315325166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100763221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936649,0.00038582648,0.001797548,0.00032933208,0.00011886393,0.0035951745,0.00008497651,0.000016559023,0.0000067744872],"genre_scores_gemma":[0.99694526,0.000006203307,0.00034830623,0.00016826292,0.000065100445,0.0024212254,0.000019766569,0.000014979595,0.000010905543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992369,0.000076837794,0.00015920773,0.0002692673,0.00015313675,0.00010465095],"domain_scores_gemma":[0.99944836,0.00008838317,0.00012820834,0.000083895095,0.0001621352,0.0000890233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001325058,0.00010417489,0.00026256253,0.000027577782,0.00003850385,0.0000080456675,0.000022898934,0.000033651835,0.000027583557],"category_scores_gemma":[0.000024527246,0.00008143136,0.000024209501,0.00014884175,0.000032092626,0.00006437024,0.00002073822,0.000053748765,5.167039e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001542588,0.00011124453,0.7056642,0.0010895545,0.00008407397,3.3187698e-7,0.0053451904,6.740396e-7,0.00024062155,0.000008670897,0.00013492856,0.2857779],"study_design_scores_gemma":[0.0071690325,0.0019248788,0.9713721,0.00007030779,0.0002807125,1.6819307e-7,0.0029535524,0.000037874466,0.015608875,0.00002522065,0.00045764266,0.000099615834],"about_ca_topic_score_codex":0.0016830895,"about_ca_topic_score_gemma":0.0046174037,"teacher_disagreement_score":0.28567827,"about_ca_system_score_codex":0.00007753514,"about_ca_system_score_gemma":0.000085659805,"threshold_uncertainty_score":0.33206746},"labels":[],"label_agreement":null},{"id":"W3106270025","doi":"10.2196/17538","title":"Patterns of Use of Smartphone-Based Interventions Among Latina Breast Cancer Survivors: Secondary Analysis of a Pilot Randomized Controlled Trial","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health","keywords":"Psychosocial; eHealth; Psychological intervention; Breast cancer; Medicine; Quality of life (healthcare); Randomized controlled trial; Population; Gerontology; Family medicine; Physical therapy; Cancer; Clinical psychology; Health care; Nursing; Psychiatry; Environmental health; Internal medicine","score_opus":0.041861923929636516,"score_gpt":0.3220699717707511,"score_spread":0.2802080478411146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106270025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99170864,0.0005887346,0.00065285485,0.00073965045,0.00044373493,0.0032789581,0.0024376567,0.000031143834,0.00011864078],"genre_scores_gemma":[0.9969361,0.00020299763,0.000017677796,0.00030663682,0.00019126096,0.0019282814,0.00011183137,0.000031924104,0.00027331177],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9970922,0.00040781693,0.0014540172,0.00033355807,0.00049968384,0.0002127357],"domain_scores_gemma":[0.9971724,0.00058603665,0.0011375151,0.00036490447,0.00056493096,0.000174208],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043585393,0.00025251185,0.0033631304,0.00040535285,0.000023637474,0.00001222018,0.0001347427,0.00009871707,0.0048089596],"category_scores_gemma":[0.00015314913,0.00019651317,0.002625263,0.0010329017,0.00017840423,0.00010644782,0.00004219819,0.00021605231,5.655029e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.8070281,0.00046538783,0.18093492,0.0012310583,0.0064601093,0.0000036408403,0.0012492302,0.00043640233,0.0008253901,0.00001164598,0.00016127004,0.0011928598],"study_design_scores_gemma":[0.8466629,0.00059451966,0.13808376,0.0009734779,0.009511895,3.3939517e-7,0.00023450972,0.0026236335,0.0010247731,0.0000018911029,0.00009467706,0.00019362403],"about_ca_topic_score_codex":0.054440472,"about_ca_topic_score_gemma":0.07265721,"teacher_disagreement_score":0.042851165,"about_ca_system_score_codex":0.000088305875,"about_ca_system_score_gemma":0.00044890106,"threshold_uncertainty_score":0.9961008},"labels":[],"label_agreement":null},{"id":"W3120952211","doi":"10.2196/26010","title":"A Novel Behavioral Intervention for Rural Appalachian Cancer Survivors (weSurvive): Participatory Development and Proof-of-Concept Testing","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; UVA Cancer Center","keywords":"Psychological intervention; Attendance; Descriptive statistics; Intervention (counseling); Participatory action research; Telehealth; Fidelity; Community-based participatory research; Cancer survivor; Medicine; Attrition; Psychology; Gerontology; Cancer; Telemedicine; Nursing; Health care; Computer science","score_opus":0.10071199423912808,"score_gpt":0.3807406205594212,"score_spread":0.28002862632029313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120952211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99228936,0.0042189904,0.001276659,0.00026400335,0.0008296097,0.00081948406,0.00013527936,0.000044662906,0.00012197177],"genre_scores_gemma":[0.9951813,0.000010335856,0.0010661759,0.00016274459,0.00021122725,0.0023113447,0.00006166467,0.000040829036,0.000954375],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986003,0.000034220506,0.00042425853,0.00033895764,0.0002554149,0.00034684644],"domain_scores_gemma":[0.9989993,0.000056997906,0.0001746299,0.0001911817,0.00041660506,0.0001612947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017869814,0.00020500697,0.00039213157,0.00006644265,0.00009305234,0.000023292208,0.000063026426,0.00010363397,0.0001656034],"category_scores_gemma":[0.000035844812,0.00019765226,0.00012900998,0.00027279244,0.000096003125,0.00009279595,0.000066007044,0.00015258096,4.4627234e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039344566,0.0006788791,0.2864489,0.0015244879,0.00020743332,0.0000132085715,0.014226693,0.000039627826,0.013718614,0.00006432707,0.00017339262,0.682511],"study_design_scores_gemma":[0.009198596,0.00085696595,0.53755873,0.0048469766,0.0007674354,0.000050343166,0.014637092,0.000838726,0.38323376,0.000047872643,0.046807624,0.001155855],"about_ca_topic_score_codex":0.0064314404,"about_ca_topic_score_gemma":0.05583865,"teacher_disagreement_score":0.6813551,"about_ca_system_score_codex":0.00022633921,"about_ca_system_score_gemma":0.00059355894,"threshold_uncertainty_score":0.9722457},"labels":[],"label_agreement":null},{"id":"W3121932028","doi":"10.2196/18396","title":"Cardiovascular Assessment Tool for Breast Cancer Survivors and Oncology Providers: Usability Study","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Chemotherapy-induced cardiotoxicity and mitigation","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; National Institutes of Health; Comprehensive Cancer Center at Wake Forest Baptist Medical Center","keywords":"Medicine; Breast cancer; Survivorship curve; Cardiovascular health; Health care; Family medicine; Cancer; Disease; Usability; Internal medicine; Physical therapy; Gerontology","score_opus":0.03413138752994619,"score_gpt":0.360824512769007,"score_spread":0.3266931252390608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121932028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846385,0.00061683584,0.00046867738,0.009501918,0.00017514666,0.00423334,0.00012383355,0.00006322017,0.00017853864],"genre_scores_gemma":[0.9941231,0.00017696136,0.00019890456,0.0020265155,0.00073155697,0.0026547601,0.000008114067,0.000026462585,0.000053620493],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99873173,0.00009112357,0.00022183722,0.00046186615,0.00028100103,0.00021245144],"domain_scores_gemma":[0.9993397,0.000056117606,0.000060836315,0.00023966702,0.00015725105,0.00014643869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032828932,0.00015888875,0.0005309451,0.000024644187,0.000077596174,0.000023458917,0.00005298088,0.0001094635,0.00012472743],"category_scores_gemma":[0.000024309724,0.00013939914,0.00023385817,0.00014321317,0.00006724387,0.00010823427,0.000030118414,0.00018069701,9.52045e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013017819,0.00073413877,0.38015524,0.0011470612,0.002944713,0.000022996628,0.0071953037,0.00020330836,0.038842395,0.000029809922,0.0018798434,0.5655434],"study_design_scores_gemma":[0.010525735,0.0015396243,0.895491,0.00010122906,0.0009883404,0.00003176846,0.0036519668,0.0006927656,0.008263654,0.00003902057,0.078245014,0.00042986445],"about_ca_topic_score_codex":0.0014009547,"about_ca_topic_score_gemma":0.0007486549,"teacher_disagreement_score":0.56511354,"about_ca_system_score_codex":0.000533032,"about_ca_system_score_gemma":0.00050522323,"threshold_uncertainty_score":0.5684532},"labels":[],"label_agreement":null},{"id":"W3122701205","doi":"10.2196/25317","title":"Physical Activity, Mental Health, and Technology Preferences to Support Cancer Survivors During the COVID-19 Pandemic: Cross-sectional Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Anxiety; Mental health; Social distance; Depression (economics); Distancing; Sitting; Social support; Cross-sectional study; Pandemic; Patient Health Questionnaire; Clinical psychology; Medicine; Psychology; Coronavirus disease 2019 (COVID-19); Gerontology; Physical activity; Psychiatry; Physical therapy; Disease; Depressive symptoms","score_opus":0.06922329306523385,"score_gpt":0.42998603728536605,"score_spread":0.3607627442201322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122701205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98722386,0.0007982242,0.0000032277817,0.009804397,0.0007219543,0.0010069073,0.00020562443,0.00011263358,0.0001231813],"genre_scores_gemma":[0.9930122,0.00036060953,0.0000022007503,0.0020051906,0.00045868306,0.0013814556,0.000013541443,0.000023070717,0.0027430474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983497,0.000088336885,0.00018402631,0.0005671575,0.00044567266,0.0003650676],"domain_scores_gemma":[0.999067,0.00005658349,0.00008489233,0.0003014451,0.00013423074,0.00035583822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017261853,0.00019435429,0.00034945898,0.000097579985,0.0003792387,0.00006203038,0.00012668391,0.00009341563,0.0004982971],"category_scores_gemma":[0.000037939328,0.00014437677,0.00006616126,0.00057989697,0.00016609127,0.00007966127,0.0002123141,0.00037537928,0.000006057151],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035709285,0.00026864887,0.98269767,0.00016457455,0.00011129317,0.000016638956,0.006610935,0.000009450257,0.0014554858,0.000012498167,0.0005897913,0.007705914],"study_design_scores_gemma":[0.0014773422,0.0004884037,0.95378894,0.00003369957,0.000023015184,0.00011911194,0.0043647597,0.000007553704,0.00074711797,0.000038618586,0.03870988,0.00020154212],"about_ca_topic_score_codex":0.01617301,"about_ca_topic_score_gemma":0.24743374,"teacher_disagreement_score":0.23126072,"about_ca_system_score_codex":0.0007734524,"about_ca_system_score_gemma":0.0015784033,"threshold_uncertainty_score":0.9903784},"labels":[],"label_agreement":null},{"id":"W3122772050","doi":"10.2196/24062","title":"A Mobile App to Improve Symptom Control and Information Exchange Among Specialists and Local Health Workers Treating Tanzanian Cancer Patients: Human-Centered Design Approach","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fogarty International Center; National Institutes of Health","keywords":"Palliative care; Usability; Psychological intervention; Medicine; Nursing; Focus group; Health care; Quality of life (healthcare); Tanzania; Qualitative research; Business; Computer science","score_opus":0.029191500732877115,"score_gpt":0.38580083294967416,"score_spread":0.356609332216797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122772050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8030527,0.014596775,0.07929212,0.009198585,0.0026008785,0.08073346,0.003223811,0.00074355927,0.0065580895],"genre_scores_gemma":[0.8522285,0.0021555068,0.0011247237,0.01759105,0.0007469248,0.12505174,0.00025048936,0.000060037975,0.00079102104],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.996991,0.00040836137,0.0009242033,0.00050126616,0.0002745068,0.0009006963],"domain_scores_gemma":[0.99776185,0.0001433159,0.0005457926,0.00031342014,0.00034768347,0.0008879544],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004746474,0.0002679915,0.00050465926,0.00014136736,0.0012116049,0.000042989817,0.00010139737,0.00021942117,0.00018734056],"category_scores_gemma":[0.000039959064,0.0002576819,0.000038678707,0.0003905755,0.00008916395,0.00041413185,0.000096343894,0.00044610116,0.000015199938],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047736662,0.00032102113,0.33970937,0.004977288,0.00007017266,0.000001140162,0.02281642,0.00014436529,0.000048660146,0.0006082398,0.056676287,0.57414967],"study_design_scores_gemma":[0.012651303,0.0007437544,0.54395425,0.0014766902,0.0000649476,0.000001504587,0.008583904,0.0029247415,0.000018582801,0.000059652804,0.4288407,0.0006799725],"about_ca_topic_score_codex":0.005620868,"about_ca_topic_score_gemma":0.003272339,"teacher_disagreement_score":0.5734697,"about_ca_system_score_codex":0.0010084613,"about_ca_system_score_gemma":0.0011941731,"threshold_uncertainty_score":0.99998754},"labels":[],"label_agreement":null},{"id":"W3123103654","doi":"10.2196/25602","title":"Quality and Readability of Web-Based Information for Patients With Pancreatic Cysts: DISCERN and Readability Test Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Readability; Reading (process); Medicine; Quality (philosophy); Test (biology); Information quality; Pancreatic cancer; Medical education; Internal medicine; Computer science; Cancer; Information system","score_opus":0.03271677220389842,"score_gpt":0.43918503390304425,"score_spread":0.40646826169914585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123103654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939968,0.000054077907,0.0012051971,0.00071597204,0.000058417914,0.0017601876,0.0016414431,0.00003934816,0.00052854227],"genre_scores_gemma":[0.9954202,0.000024691026,0.0016509083,0.0013643528,0.00002472154,0.00092908024,0.00052709435,0.0000065483296,0.000052401774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971514,0.0004149875,0.0015824616,0.00026669368,0.00029577527,0.00028873672],"domain_scores_gemma":[0.9954707,0.0015109769,0.00091180846,0.00051630975,0.0014192999,0.0001709172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015391615,0.00015631168,0.000531285,0.000101955855,0.0003722105,0.000025040305,0.00007093213,0.00014589277,0.00025595416],"category_scores_gemma":[0.0015467742,0.00011340445,0.000066268454,0.0005844768,0.00014091998,0.0011334083,0.00005500209,0.00022276909,0.0000018805495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038337972,0.0001486924,0.9825743,0.004105905,0.000047189285,2.329629e-8,0.0015622993,0.0000074948634,0.000004119602,0.000053139873,0.00016869437,0.01094477],"study_design_scores_gemma":[0.0011421042,0.000096760414,0.989006,0.0001521627,0.00010744678,3.3014175e-8,0.00065339025,0.0029001285,0.00003508255,0.00013893419,0.0056338664,0.00013413333],"about_ca_topic_score_codex":0.0009056585,"about_ca_topic_score_gemma":0.001589338,"teacher_disagreement_score":0.010810636,"about_ca_system_score_codex":0.00024907905,"about_ca_system_score_gemma":0.0008296536,"threshold_uncertainty_score":0.46244994},"labels":[],"label_agreement":null},{"id":"W3123553406","doi":"10.2196/26509","title":"Electronic Health Record Portal Use by Family Caregivers of Patients Undergoing Hematopoietic Cell Transplantation: United States National Survey Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Medicine; Anxiety; Transplantation; Patient portal; Coping (psychology); Health care; Family medicine; Psychology; Gerontology; Clinical psychology; Psychiatry; Internal medicine","score_opus":0.04368869234278268,"score_gpt":0.33479433587844265,"score_spread":0.29110564353566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123553406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976254,0.0006484432,0.00013778372,0.00040843926,0.00008514186,0.0005159633,0.00030796733,0.000019443218,0.00025142104],"genre_scores_gemma":[0.9925796,0.0016334438,0.00003414894,0.0013059395,0.000014055437,0.00009103232,0.0022569336,0.000013038101,0.0020718302],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99865764,0.00012568885,0.00030201962,0.00023317125,0.0004847443,0.0001967595],"domain_scores_gemma":[0.998919,0.00011791573,0.00018660419,0.00013816121,0.00053753913,0.00010077186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013142457,0.00010207601,0.00024067059,0.000063664615,0.000051489213,0.000009918837,0.000057841517,0.000032183725,0.00059675553],"category_scores_gemma":[0.000020896006,0.0001015452,0.000043914162,0.000438843,0.000028024446,0.000076423225,0.0000073987158,0.00013108538,0.000014079235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002671915,0.0012116792,0.9233612,0.00051034376,0.0003717759,0.000012848447,0.0028262434,0.000054740278,0.000116361545,0.000031996296,0.07081482,0.0004207943],"study_design_scores_gemma":[0.004628397,0.00086418545,0.982642,0.00018349625,0.0001778451,0.0000036438028,0.0048135337,0.00006779804,0.00041855156,0.000032749573,0.0059649893,0.00020283803],"about_ca_topic_score_codex":0.0012894339,"about_ca_topic_score_gemma":0.0014783198,"teacher_disagreement_score":0.06484983,"about_ca_system_score_codex":0.0001688716,"about_ca_system_score_gemma":0.0015534089,"threshold_uncertainty_score":0.6534055},"labels":[],"label_agreement":null},{"id":"W3130217014","doi":"10.2196/24828","title":"Associations Among Wearable Activity Tracker Use, Exercise Motivation, and Physical Activity in a Cohort of Cancer Survivors: Secondary Data Analysis of the Health Information National Trends Survey","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Activity tracker; Cohort; Medicine; Health Information National Trends Survey; Demographics; Odds; Physical activity; Cancer; Logistic regression; Gerontology; Cohort study; National Health Interview Survey; Cancer survivor; Physical therapy; Demography; Health information; Environmental health; Health care; Internal medicine; Population","score_opus":0.0508328947903301,"score_gpt":0.35710116074988485,"score_spread":0.30626826595955475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130217014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99185115,0.00021332722,0.000025411275,0.0006074034,0.000112647875,0.00027247157,0.0067573986,0.0000087547705,0.00015144705],"genre_scores_gemma":[0.99826235,0.00038967494,0.0000057799243,0.00010518895,0.000033278302,0.0001065302,0.0008152206,0.00000829998,0.00027369978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849373,0.0002316103,0.00028984624,0.0002502972,0.0005764132,0.00015811568],"domain_scores_gemma":[0.9982847,0.0002534079,0.00042228328,0.0004100093,0.00056959235,0.000059992028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062089076,0.00011955282,0.0005668494,0.0002473717,0.00006525079,0.000024102766,0.0001026835,0.00008117548,0.00012892381],"category_scores_gemma":[0.00020081861,0.000102022546,0.00009844486,0.0025621962,0.0000829449,0.00090168155,0.000093212584,0.00024761708,1.324649e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001117682,0.00022210693,0.97213674,0.000098644996,0.0004361431,1.598632e-7,0.0017341361,0.00027581642,0.00010424606,0.000007278868,0.0005027658,0.024370227],"study_design_scores_gemma":[0.00048131804,0.000013204994,0.9943059,0.00012300529,0.00024451016,1.4739862e-7,0.00010366273,0.0038538678,0.0006135285,0.00000494887,0.00017163449,0.0000842453],"about_ca_topic_score_codex":0.18304928,"about_ca_topic_score_gemma":0.6203356,"teacher_disagreement_score":0.43728632,"about_ca_system_score_codex":0.00040400535,"about_ca_system_score_gemma":0.0012957889,"threshold_uncertainty_score":0.82239085},"labels":[],"label_agreement":null},{"id":"W3132644221","doi":"10.2196/26950","title":"Effect of Collaborative Review of Electronic Patient-Reported Outcomes for Shared Reporting in Breast Cancer Patients: Descriptive Comparative Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Swiss Tumor Institute","keywords":"Medicine; Grading (engineering); Descriptive statistics; Breast cancer; Data collection; Family medicine; Mobile apps; Disease; Patient satisfaction; Cancer; Internal medicine; World Wide Web; Nursing; Computer science","score_opus":0.02736177235798942,"score_gpt":0.38211723451212254,"score_spread":0.3547554621541331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132644221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9764978,0.01717221,0.000002765078,0.00029065277,0.0003040483,0.0049438556,0.00056115596,0.00001657174,0.00021091696],"genre_scores_gemma":[0.9937576,0.0011789682,0.000010443658,0.00026617345,0.000033269163,0.004499977,0.00011292775,0.000026885027,0.000113756396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969086,0.00026267723,0.0015835749,0.0004515696,0.00046666435,0.00032691102],"domain_scores_gemma":[0.995064,0.00018428126,0.0020407124,0.00032887372,0.0023083962,0.000073723444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047058187,0.00026205787,0.0015686301,0.000100065685,0.000033271634,0.000006645704,0.00006879314,0.00006506023,0.00029239486],"category_scores_gemma":[0.00040313398,0.00020687755,0.00024225727,0.0010433694,0.0000534722,0.0001075581,0.00004651538,0.0001972539,3.2193452e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017894235,0.0008310684,0.9731898,0.005714296,0.0007286137,0.000023101396,0.010119391,0.000007023276,0.000529706,0.000005565769,0.0012568675,0.005805202],"study_design_scores_gemma":[0.0102196755,0.0043108137,0.9361626,0.01860208,0.001135005,0.000008770675,0.009051192,0.000024506036,0.018235259,0.000008194594,0.0018230999,0.00041880482],"about_ca_topic_score_codex":0.0018235861,"about_ca_topic_score_gemma":0.008408959,"teacher_disagreement_score":0.037027143,"about_ca_system_score_codex":0.0007240574,"about_ca_system_score_gemma":0.0012533712,"threshold_uncertainty_score":0.8436222},"labels":[],"label_agreement":null},{"id":"W3132929591","doi":"10.2196/23927","title":"Use of mHealth to Increase Physical Activity Among Breast Cancer Survivors With Fatigue: Qualitative Exploration","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"mHealth; Breast cancer; Psychological intervention; Thematic analysis; Focus group; Exploratory research; Physical activity; Psychology; Medicine; Qualitative research; Cancer; Clinical psychology; Physical therapy; Nursing; Internal medicine","score_opus":0.10198439110124805,"score_gpt":0.4162558050345074,"score_spread":0.3142714139332593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132929591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994764,0.00008495229,0.00047071467,0.0031482473,0.00021021708,0.00057453435,0.00053397473,0.00004583382,0.00016755123],"genre_scores_gemma":[0.9970653,0.000106180836,0.00006485753,0.0004906072,0.0003293705,0.000871428,0.000037180584,0.000040145816,0.0009949049],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983785,0.00023406866,0.0001761141,0.00041936646,0.00051175605,0.0002801914],"domain_scores_gemma":[0.9984055,0.000123581,0.0001532375,0.00036336793,0.00064665,0.00030763683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115950395,0.000210004,0.00047998715,0.00008305792,0.000059677866,0.000024867915,0.00005561072,0.0000687124,0.00023002061],"category_scores_gemma":[0.00003370867,0.00017337759,0.00009821686,0.0007665393,0.00010690059,0.00043724387,0.000041401152,0.00021710267,0.0000035205994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014595084,0.00277585,0.49888495,0.0025921387,0.0009407597,0.00014801914,0.2482767,0.0014270771,0.032262884,0.0006434733,0.008119932,0.18933314],"study_design_scores_gemma":[0.0016961306,0.00059475465,0.93077356,0.0015690887,0.00031897303,0.000012134284,0.017584795,0.0004704483,0.041284457,0.000039722687,0.005021142,0.00063479465],"about_ca_topic_score_codex":0.12580574,"about_ca_topic_score_gemma":0.2198295,"teacher_disagreement_score":0.4318886,"about_ca_system_score_codex":0.00036706432,"about_ca_system_score_gemma":0.0008512991,"threshold_uncertainty_score":0.8800156},"labels":[],"label_agreement":null},{"id":"W3133406856","doi":"10.2196/26911","title":"Development and Early Feasibility of Chatbots for Educating Patients With Lung Cancer and Their Caregivers in Japan: Mixed Methods Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Yasuda Memorial Medical Foundation","keywords":"Chatbot; Test (biology); Medicine; Lung cancer; Service (business); Family medicine; Psychology; Medical education; Nursing; World Wide Web; Computer science; Oncology","score_opus":0.058507987761302255,"score_gpt":0.46778281563232743,"score_spread":0.4092748278710252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133406856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99645066,0.0011225,0.00002689062,0.000111069996,0.0005127131,0.001510437,0.00007468878,0.000007610575,0.00018339994],"genre_scores_gemma":[0.9953604,0.0000019681988,0.0020402225,0.000031591273,0.00001451666,0.0021480715,0.000005141285,0.000015220616,0.0003829122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899584,0.00009783564,0.00028936742,0.00033909458,0.00007487709,0.00020299552],"domain_scores_gemma":[0.99944776,0.000079315236,0.00013325897,0.00014841008,0.00012085199,0.000070415095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020815142,0.00011615661,0.00023421049,0.000055133314,0.000052149633,0.000015329133,0.00005225453,0.000036301695,0.000042431428],"category_scores_gemma":[0.000015734093,0.00009734852,0.000023423998,0.00015147647,0.00004523315,0.00008436065,0.00005869175,0.000071601484,1.5727154e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011506833,0.0006937233,0.7313513,0.00023110634,0.00008389159,4.2428815e-7,0.029864132,4.3178494e-7,0.000013289082,0.000034981756,0.0000654957,0.23754613],"study_design_scores_gemma":[0.0018908146,0.0002440262,0.98077357,0.00026912722,0.0000136314275,4.1408555e-7,0.01585859,0.0000027395904,0.0005563009,0.000021669075,0.0002670927,0.000102035905],"about_ca_topic_score_codex":0.0012344123,"about_ca_topic_score_gemma":0.005651261,"teacher_disagreement_score":0.24942224,"about_ca_system_score_codex":0.00025102563,"about_ca_system_score_gemma":0.00016260738,"threshold_uncertainty_score":0.39697576},"labels":[],"label_agreement":null},{"id":"W3134507139","doi":"10.2196/20964","title":"Digital Technical and Informal Resources of Breast Cancer Patients From 2012 to 2020: Questionnaire-Based Longitudinal Trend Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"The Internet; Breast cancer; eHealth; Digitization; Medicine; Cancer; Cohort; Longitudinal study; Family medicine; Internal medicine; Political science; Telecommunications; Engineering; World Wide Web; Pathology; Health care; Computer science","score_opus":0.022064672439922696,"score_gpt":0.4047297837439539,"score_spread":0.3826651113040312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134507139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989868,0.0008230162,0.000042033345,0.0029913425,0.00031473543,0.002748386,0.0024794654,0.00006651785,0.00066653884],"genre_scores_gemma":[0.98380613,0.000116024894,0.000066105225,0.0012804205,0.0003835783,0.013644711,0.00010412761,0.000022177495,0.00057674065],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99798775,0.000109553024,0.0007139622,0.00038826797,0.00032756757,0.00047289254],"domain_scores_gemma":[0.9983908,0.00015826277,0.0002695573,0.00033921338,0.00033147144,0.00051072316],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014473642,0.0001695763,0.00033942043,0.000084390915,0.00041152997,0.000015834581,0.0001270462,0.00015153099,0.000998187],"category_scores_gemma":[0.000052312018,0.00015172108,0.000041537565,0.00043698825,0.000060965198,0.00019281928,0.00014163456,0.0003767612,0.000031125124],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028829617,0.00045045186,0.92870045,0.00019490009,0.00001463075,0.0000014213597,0.0007475676,0.000018690305,0.000017137267,0.00001926046,0.012209634,0.057337545],"study_design_scores_gemma":[0.0016119517,0.00013101954,0.93358964,0.00037286367,0.000025560152,4.3032475e-7,0.0003553303,0.000021580567,0.0000051199077,0.000008582229,0.06375273,0.00012521964],"about_ca_topic_score_codex":0.0027052993,"about_ca_topic_score_gemma":0.019857368,"teacher_disagreement_score":0.057212327,"about_ca_system_score_codex":0.00020453321,"about_ca_system_score_gemma":0.00094707066,"threshold_uncertainty_score":0.99991506},"labels":[],"label_agreement":null},{"id":"W3134631196","doi":"10.2196/18819","title":"A Home-Based Mobile Health Intervention to Replace Sedentary Time With Light Physical Activity in Older Cancer Survivors: Randomized Controlled Pilot Trial","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Health coaching; Medicine; Randomized controlled trial; Physical therapy; Coaching; Intervention (counseling); Breast cancer; mHealth; Quality of life (healthcare); Gerontology; Cancer; Psychological intervention; Psychology; Nursing","score_opus":0.012252731452851082,"score_gpt":0.334983322583561,"score_spread":0.3227305911307099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134631196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98087597,0.0018070204,0.00017724083,0.005880463,0.00089679845,0.009870022,0.00007794368,0.000092488044,0.00032208193],"genre_scores_gemma":[0.96608007,0.00009393418,0.000016170314,0.0018416485,0.0007972334,0.02706488,0.00005005626,0.000057247566,0.0039987396],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99694663,0.00080117944,0.0004935258,0.00068927085,0.0006056402,0.00046374364],"domain_scores_gemma":[0.9984018,0.00032739766,0.00028406942,0.00046502287,0.00023468421,0.00028698507],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00080212054,0.00034161485,0.0023186803,0.00018731593,0.00006294401,0.000047507405,0.0000973174,0.00008109338,0.001615191],"category_scores_gemma":[0.00005673605,0.0002535252,0.00054757536,0.0006911119,0.0000587917,0.0001153602,0.000044280103,0.00037030445,0.00001624301],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.98102415,0.002432772,0.0011273336,0.0003277722,0.00034858644,0.00005688761,0.0017762146,0.00020166997,0.0013365224,0.0000053564663,0.0018395989,0.0095231645],"study_design_scores_gemma":[0.9853934,0.0026865504,0.0016996303,0.0017224306,0.00025424612,0.0000042766796,0.00034561177,0.0009873806,0.0034771536,0.000007468647,0.0030575502,0.0003642733],"about_ca_topic_score_codex":0.035926167,"about_ca_topic_score_gemma":0.10640463,"teacher_disagreement_score":0.07047846,"about_ca_system_score_codex":0.0010193577,"about_ca_system_score_gemma":0.0013412411,"threshold_uncertainty_score":0.9999917},"labels":[],"label_agreement":null},{"id":"W3144325870","doi":"10.2196/27384","title":"Virtual Mind-Body Programming for Patients With Cancer During the COVID-19 Pandemic: Qualitative Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Institute on Aging; National Institutes of Health; Memorial Sloan-Kettering Cancer Center","keywords":"Psychosocial; Coping (psychology); Anxiety; Grounded theory; Psychology; Qualitative research; Social isolation; Stressor; Social support; Clinical psychology; Distancing; Psychotherapist; Medicine; Coronavirus disease 2019 (COVID-19); Psychiatry","score_opus":0.04890350474212622,"score_gpt":0.4128812400353247,"score_spread":0.3639777352931985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144325870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941625,0.0008012281,0.00012427417,0.0013814785,0.00045340997,0.0027352446,0.00022876184,0.000056283585,0.00005680278],"genre_scores_gemma":[0.98733634,0.0000452748,0.000038154652,0.0012800713,0.00041455094,0.007106329,0.00005688186,0.000046825953,0.0036755886],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982622,0.00014408526,0.00025113128,0.00047676722,0.00048793433,0.00037788236],"domain_scores_gemma":[0.998679,0.00021271901,0.00013393142,0.00033149435,0.00043010458,0.00021277316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022345743,0.00021934017,0.00033900604,0.00004702753,0.00025396768,0.000044482735,0.00010882076,0.00006834578,0.00038079915],"category_scores_gemma":[0.000089222725,0.00014049611,0.00010852629,0.00037605938,0.000098543234,0.00008120062,0.000055332133,0.00022654075,0.0000025960987],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020921868,0.0006108841,0.78756416,0.00029770445,0.00049185165,0.000025176245,0.18991569,0.000026764115,0.00011598042,0.000020986363,0.0007331234,0.018105494],"study_design_scores_gemma":[0.018481486,0.002279431,0.22274406,0.00036499463,0.0006960332,0.000015814538,0.34445247,0.000018995872,0.00042063018,0.000019661014,0.40977803,0.0007283683],"about_ca_topic_score_codex":0.0024968293,"about_ca_topic_score_gemma":0.037909336,"teacher_disagreement_score":0.5648201,"about_ca_system_score_codex":0.00072302145,"about_ca_system_score_gemma":0.0008989272,"threshold_uncertainty_score":0.9796463},"labels":[],"label_agreement":null},{"id":"W3145682606","doi":"10.2196/25800","title":"Clinicopathological Criteria Predictive of Recurrence Following Bacillus Calmette-Guérin Therapy Initiation in Non–Muscle-Invasive Bladder Cancer: Retrospective Cohort Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Aurora Research Institute","keywords":"Medicine; Bladder cancer; Carcinoma in situ; Multivariate analysis; Univariate analysis; Internal medicine; Retrospective cohort study; Stage (stratigraphy); Cancer; Cohort; Oncology; Urology; Creatinine","score_opus":0.04211693838526354,"score_gpt":0.38232346538827267,"score_spread":0.34020652700300913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145682606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917186,0.002393113,0.000033017357,0.000322215,0.0009361599,0.0026471452,0.0002792195,0.000043313667,0.0016272073],"genre_scores_gemma":[0.993056,0.00273477,0.00007915666,0.0005753022,0.00033807877,0.0029623345,0.00004540119,0.000038385497,0.00017059677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997368,0.00025272378,0.0006111023,0.00080680416,0.00058866094,0.00037275796],"domain_scores_gemma":[0.9986768,0.00011838579,0.00022308569,0.00042227175,0.00043378084,0.0001257107],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032163228,0.0003109285,0.0009055325,0.00013026143,0.000073243275,0.000020553329,0.00012006996,0.00018352093,0.000988646],"category_scores_gemma":[0.00016274751,0.0002660125,0.00022629721,0.00068737165,0.000094076815,0.00017683211,0.00006932059,0.00041178503,0.00000633814],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070112274,0.0013681891,0.98091686,0.000039768624,0.00038060677,0.00046601528,0.003624882,0.00001327108,0.0034437596,0.0000026720436,0.0003504877,0.008692352],"study_design_scores_gemma":[0.0070029856,0.0020147471,0.9833487,0.0004142379,0.00024290865,0.000007567965,0.0010924299,0.000043479093,0.0054295985,0.00006662466,0.00010797158,0.00022870515],"about_ca_topic_score_codex":0.0012075562,"about_ca_topic_score_gemma":0.0013161775,"teacher_disagreement_score":0.008463647,"about_ca_system_score_codex":0.00079120207,"about_ca_system_score_gemma":0.0008855433,"threshold_uncertainty_score":0.9999792},"labels":[],"label_agreement":null},{"id":"W3150774312","doi":"10.2196/27975","title":"Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Center for Machine Learning and Health, School of Computer Science, Carnegie Mellon University; National Cancer Institute; Society of American Gastrointestinal and Endoscopic Surgeons; Hillman Foundation; Carnegie Mellon University","keywords":"Medicine; Prospective cohort study; Perioperative; Quality of life (healthcare); Physical therapy; Internal medicine; Surgery","score_opus":0.016198734177710148,"score_gpt":0.29288565247293696,"score_spread":0.2766869182952268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3150774312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99380153,0.000951187,0.000009828341,0.00015688936,0.0003255058,0.0010565333,0.00013781746,0.000074846765,0.0034858722],"genre_scores_gemma":[0.997485,0.000099645986,0.0000095680925,0.00005540864,0.000120942845,0.0004312768,0.0001336021,0.00003977518,0.001624786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818987,0.000060652925,0.00042490265,0.00050759263,0.0005387083,0.00027827927],"domain_scores_gemma":[0.99853885,0.00012146617,0.00019980936,0.00033002472,0.00067138934,0.00013846988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008704916,0.00023822996,0.0005938446,0.00008438863,0.000081502025,0.00006078291,0.000056652512,0.00007132491,0.00034180417],"category_scores_gemma":[0.000103919054,0.00021219406,0.00017343498,0.0005822448,0.00006736249,0.00019499402,0.000063012885,0.00013713533,0.0000053253243],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003106668,0.00076893624,0.9869478,0.0001756548,0.002046629,0.00009530206,0.0053831553,0.0000012243778,0.00026124466,0.0000037396503,0.001457965,0.0025477328],"study_design_scores_gemma":[0.0027339633,0.0005290703,0.98265487,0.00043082025,0.000551537,0.000015997528,0.00915477,0.000015489717,0.0017383855,0.0000047588833,0.0018680781,0.0003022508],"about_ca_topic_score_codex":0.00090003473,"about_ca_topic_score_gemma":0.0017408287,"teacher_disagreement_score":0.00429287,"about_ca_system_score_codex":0.00051187363,"about_ca_system_score_gemma":0.0008666243,"threshold_uncertainty_score":0.86530226},"labels":[],"label_agreement":null},{"id":"W3151161503","doi":"10.2196/23671","title":"Cancer Clinicians’ Views Regarding an App That Helps Patients With Cancer Meet Their Information Needs: Qualitative Interview Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Tenovus","keywords":"Thematic analysis; Intervention (counseling); Context (archaeology); Qualitative research; Medicine; Information needs; Nursing; Medical education; Psychology; Family medicine; World Wide Web; Computer science","score_opus":0.19281587124359584,"score_gpt":0.5327523376817287,"score_spread":0.33993646643813286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151161503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9495037,0.007839767,0.000714514,0.010216589,0.0031467201,0.021597836,0.0020105718,0.000387621,0.0045826435],"genre_scores_gemma":[0.78856957,0.0069824792,0.00018016048,0.028170707,0.00083244697,0.17308767,0.00044806206,0.000095985575,0.0016329238],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947343,0.0019264652,0.0014111681,0.0004617952,0.0005348793,0.0009314157],"domain_scores_gemma":[0.99585164,0.00038168166,0.0011678003,0.000805705,0.0012472086,0.00054597977],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014639373,0.00039013143,0.00077879935,0.00020014278,0.0010916619,0.000039364237,0.00031808182,0.00023996575,0.0019032886],"category_scores_gemma":[0.000069688016,0.00028959342,0.00009761322,0.000986521,0.00006682308,0.0009734098,0.00014112052,0.0008095591,0.00009946161],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047953357,0.0007841984,0.37957048,0.0025583296,0.00021357823,9.800782e-7,0.2730789,0.000059407004,0.000005136638,0.00061947596,0.055005044,0.28762496],"study_design_scores_gemma":[0.0038556545,0.00028771732,0.10516099,0.0017372498,0.00009073916,2.0309962e-7,0.16931945,0.00005425733,0.000017215918,0.00009734166,0.7189846,0.000394562],"about_ca_topic_score_codex":0.0060897134,"about_ca_topic_score_gemma":0.052079275,"teacher_disagreement_score":0.6639796,"about_ca_system_score_codex":0.0009916509,"about_ca_system_score_gemma":0.0027189248,"threshold_uncertainty_score":0.9999556},"labels":[],"label_agreement":null},{"id":"W3151598575","doi":"10.2196/25357","title":"The Value of Web-Based Patient Education Materials on Transarterial Chemoembolization: Systematic Review","year":2021,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Readability; Medicine; Certification; Disclaimer; World Wide Web; Family medicine; Computer science","score_opus":0.06004700390756402,"score_gpt":0.5057918842398124,"score_spread":0.44574488033224835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151598575","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016715632,0.98124325,0.000016152828,0.00036186707,0.0040415768,0.012898057,0.0004524949,0.0000372816,0.00093260675],"genre_scores_gemma":[0.000016536631,0.9700543,0.000028604436,0.0058079017,0.0004232752,0.022719752,0.0006028074,0.000035992303,0.00031082044],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9904876,0.0035079957,0.0049160533,0.00029357793,0.0004578043,0.00033701392],"domain_scores_gemma":[0.99362516,0.0007680529,0.0038583616,0.00097035395,0.0006656259,0.0001124458],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019812689,0.0003452501,0.0025625704,0.00008518435,0.00049868686,0.000034465957,0.0003522646,0.0003497293,0.00213053],"category_scores_gemma":[0.0004919121,0.00019482641,0.00032475838,0.00047489803,0.00004134625,0.00016896613,0.00003196048,0.00043281403,0.00013644168],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008863949,0.000057866833,6.217345e-7,0.8836053,0.000029604362,7.51553e-8,0.00023299771,2.6468473e-7,1.6095434e-7,0.0004490689,0.011459625,0.10415554],"study_design_scores_gemma":[0.00007572501,0.000016050812,9.773287e-7,0.4822131,0.00022712354,2.852346e-7,0.000037226244,0.0000042762686,0.000002559103,0.0000028056495,0.5173252,0.000094648916],"about_ca_topic_score_codex":0.000031079515,"about_ca_topic_score_gemma":0.0000071951404,"teacher_disagreement_score":0.5058656,"about_ca_system_score_codex":0.000586265,"about_ca_system_score_gemma":0.009064192,"threshold_uncertainty_score":0.9987817},"labels":[],"label_agreement":null},{"id":"W3156150685","doi":"10.2196/23161","title":"Data Integration to Improve Real-world Health Outcomes Research for Non–Small Cell Lung Cancer in the United States: Descriptive and Qualitative Exploration","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Eli Lilly and Company","keywords":"Medicine; Cohort; Descriptive statistics; Atezolizumab; Medical record; Nivolumab; Cancer; Internal medicine; Database; Statistics; Computer science","score_opus":0.23932604910049934,"score_gpt":0.5582879789472005,"score_spread":0.31896192984670113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156150685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7826239,0.00297457,0.010746032,0.17796808,0.0007533562,0.01634897,0.007254803,0.000067543115,0.0012627644],"genre_scores_gemma":[0.9443627,0.0052459496,0.004292051,0.009093429,0.0003568805,0.019673182,0.0057118563,0.00007717583,0.011186786],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9984647,0.00027638156,0.00027905457,0.00043057906,0.0002542012,0.00029507265],"domain_scores_gemma":[0.9984727,0.0003865166,0.00008634347,0.00040743392,0.00054143276,0.00010556769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074800965,0.00013431636,0.00024720805,0.00025277396,0.00017629897,0.000069387985,0.00010890571,0.000036216745,0.00002757833],"category_scores_gemma":[0.0000933178,0.00008969669,0.000025973044,0.00091043697,0.000042177453,0.00022556192,0.00006102462,0.00020387609,0.0000013293442],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008739728,0.00064759096,0.018679962,0.00092880183,0.00038523058,0.000017386204,0.84255725,0.0002520576,0.0018169975,0.0013523671,0.09409925,0.038389154],"study_design_scores_gemma":[0.010221517,0.0018090921,0.08767891,0.0020776524,0.00051544886,0.0000016727329,0.79969156,0.020962127,0.004152867,0.0015723935,0.070705034,0.00061173324],"about_ca_topic_score_codex":0.032343592,"about_ca_topic_score_gemma":0.1483656,"teacher_disagreement_score":0.16887465,"about_ca_system_score_codex":0.0010156275,"about_ca_system_score_gemma":0.001243065,"threshold_uncertainty_score":0.9741001},"labels":[],"label_agreement":null},{"id":"W3156396841","doi":"10.2196/25569","title":"Home-Based Telehealth Exercise Intervention in Early-On Survivors of Childhood Acute Lymphoblastic Leukemia: Feasibility Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; Shriners Hospitals for Children - Canada; Centre for Interdisciplinary Research in Rehabilitation; Université de Montréal; McGill University; Université du Québec à Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Réseau Provincial de Recherche en Adaptation-Réadaptation","keywords":"Medicine; Telehealth; Physical therapy; Osteopenia; Intervention (counseling); Psychological intervention; Pediatrics; Osteoporosis; Internal medicine; Bone mineral; Telemedicine; Health care","score_opus":0.025568008363244677,"score_gpt":0.34616221872044,"score_spread":0.3205942103571953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156396841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99493194,0.00092992693,0.000040000214,0.00077416794,0.0006297947,0.002353,0.00010722289,0.00009017728,0.00014375667],"genre_scores_gemma":[0.99825037,0.00012104933,0.00007200706,0.0006041991,0.00017184397,0.00048195993,0.000047690868,0.00006115636,0.00018970467],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962507,0.0004329384,0.0010844499,0.0008433165,0.000906696,0.00048193845],"domain_scores_gemma":[0.9979001,0.00019359658,0.00037780785,0.0009891817,0.0002782459,0.00026104436],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00085993495,0.00035277096,0.001095023,0.00029569856,0.000062079846,0.000023834264,0.00020218088,0.00017785344,0.0003246904],"category_scores_gemma":[0.00015639808,0.0003491761,0.00033668577,0.0010089031,0.000100292214,0.00011689978,0.00009127623,0.0004895772,0.00002064448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00240343,0.007813456,0.97317106,0.0011114225,0.00021138645,0.0001327617,0.0060971715,0.000196233,0.00015332762,0.0000112109,0.00031737963,0.008381147],"study_design_scores_gemma":[0.012432028,0.0016763182,0.9790767,0.0023482163,0.00019754189,0.0000058920346,0.0015333415,0.000070495174,0.0022558137,0.000057840465,0.00005971332,0.00028608806],"about_ca_topic_score_codex":0.009005981,"about_ca_topic_score_gemma":0.017288467,"teacher_disagreement_score":0.010028598,"about_ca_system_score_codex":0.0016141561,"about_ca_system_score_gemma":0.0017523689,"threshold_uncertainty_score":0.99989605},"labels":[],"label_agreement":null},{"id":"W3160405556","doi":"10.2196/23821","title":"Correction: Incorporating Breast Cancer Recurrence Events Into Population-Based Cancer Registries Using Medical Claims: Cohort Study","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Medicine; Breast cancer; Cohort; Oncology; Cancer; Cohort study; Internal medicine; Family medicine","score_opus":0.03827240136659052,"score_gpt":0.3763555949973884,"score_spread":0.33808319363079786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160405556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883208,0.0008198959,0.00026155313,0.0057618013,0.0028155616,0.0016222255,0.0001616636,0.00017593378,0.000060540904],"genre_scores_gemma":[0.9941668,0.00024160459,0.00006232984,0.0021005785,0.0021228597,0.0010344853,0.000055397613,0.000058748763,0.00015720638],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99704933,0.0000917349,0.00061179826,0.0007196948,0.0011746148,0.00035282108],"domain_scores_gemma":[0.9983864,0.00006275062,0.00040745895,0.00031484765,0.0003178033,0.0005107604],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021330023,0.0003392997,0.0006366092,0.000095321215,0.00028453107,0.000041141848,0.00018888125,0.0001856965,0.0025511421],"category_scores_gemma":[0.00009974836,0.0003018194,0.00013171126,0.0008574815,0.0001055278,0.00019372653,0.000074729214,0.00060605264,0.000006666127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049788156,0.00015989724,0.96359485,0.0001419413,0.0001468511,0.000025576248,0.0007434594,0.0011787083,0.000059774324,0.0000019396577,0.006417145,0.02703196],"study_design_scores_gemma":[0.0017990795,0.00019996571,0.97535944,0.0010276661,0.0002402834,0.000016942426,0.00043590323,0.018934151,0.000051656047,0.000009475426,0.0015647797,0.00036064026],"about_ca_topic_score_codex":0.1109854,"about_ca_topic_score_gemma":0.025275402,"teacher_disagreement_score":0.08571,"about_ca_system_score_codex":0.0014871622,"about_ca_system_score_gemma":0.0023485874,"threshold_uncertainty_score":0.9999434},"labels":[],"label_agreement":null},{"id":"W3166122087","doi":"10.2196/26691","title":"Emerging Trends and Thematic Evolution of Breast Cancer: Knowledge Mapping and Co-Word Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Data science; Breast cancer; Field (mathematics); Thematic analysis; Computer science; Cancer; Medicine; Qualitative research; Social science; Sociology","score_opus":0.04002794781525537,"score_gpt":0.3913717808718544,"score_spread":0.35134383305659905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166122087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94676024,0.048471205,0.00007919901,0.0028735672,0.00010642769,0.00011769095,0.0000696834,0.000022296788,0.0014997127],"genre_scores_gemma":[0.9969602,0.001409944,0.00009124839,0.00008522161,0.00016668638,0.00007259826,0.0000133403555,0.00000972467,0.0011910228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922395,0.000038347793,0.00020927035,0.0002470024,0.00012486897,0.00015654905],"domain_scores_gemma":[0.9994744,0.00003477499,0.00007270655,0.00017931788,0.0001439294,0.00009488439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010060767,0.00009429673,0.00033773706,0.00024268766,0.00006181776,0.000007064019,0.000022815506,0.000055808723,0.0005081761],"category_scores_gemma":[0.000007810738,0.00008253642,0.00006548035,0.000957874,0.000046091776,0.000037151152,0.000023189717,0.00009251686,6.2481735e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037564434,0.000044881202,0.5984172,0.0012930178,0.0005974081,0.0000066471566,0.0052848635,0.000010366085,0.0015154493,0.00006691959,0.00064660894,0.39207903],"study_design_scores_gemma":[0.0005956496,0.000017104217,0.9897883,0.00039827882,0.00046140046,0.00003506299,0.0037434688,0.0019432736,0.00028024826,0.000044715693,0.002597637,0.0000948394],"about_ca_topic_score_codex":0.000772156,"about_ca_topic_score_gemma":0.0013010924,"teacher_disagreement_score":0.3919842,"about_ca_system_score_codex":0.0001416614,"about_ca_system_score_gemma":0.00017129154,"threshold_uncertainty_score":0.5564172},"labels":[],"label_agreement":null},{"id":"W3166142292","doi":"10.2196/27063","title":"Gaps in Public Awareness About BRCA and Genetic Testing in Prostate Cancer: Social Media Landscape Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Prostate Cancer Foundation","keywords":"Social media; Breast cancer; Genetic testing; Medicine; Social media analytics; Population; BRCA mutation; Cancer; Oncology; Internal medicine; Computer science; World Wide Web","score_opus":0.021906121928606807,"score_gpt":0.31209909833563,"score_spread":0.2901929764070232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166142292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848427,0.013680206,0.000017161274,0.0007879473,0.00015763388,0.00015444486,0.00011643085,0.000009692295,0.00023378977],"genre_scores_gemma":[0.9959549,0.0021079027,0.00035554552,0.00022932985,0.0003301757,0.00074051047,0.000127062,0.000025437263,0.00012915263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986424,0.000080568185,0.0002732023,0.00051962235,0.00014922097,0.0003349987],"domain_scores_gemma":[0.9994322,0.00003083251,0.000093462106,0.00019920473,0.00018176681,0.00006250525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009854111,0.00015796744,0.00024618037,0.00017793155,0.00007377134,0.00006200017,0.000120597746,0.00012773124,0.00011428919],"category_scores_gemma":[0.000093304814,0.00017224911,0.000056214885,0.0013248731,0.00007212283,0.000008130117,0.000116879615,0.00012880449,9.2257636e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023873186,0.000039877064,0.9442501,0.000050583752,0.00013306108,0.000031306205,0.0008365412,0.0020380563,0.021852292,0.0000057091966,0.0005734519,0.030165141],"study_design_scores_gemma":[0.00094865996,0.000013782701,0.98330057,0.00003631549,0.00007082267,0.00000657803,0.00035338989,0.0008107385,0.007029183,0.000050066552,0.0070953416,0.00028453267],"about_ca_topic_score_codex":0.0004511996,"about_ca_topic_score_gemma":0.04941529,"teacher_disagreement_score":0.04896409,"about_ca_system_score_codex":0.0001527203,"about_ca_system_score_gemma":0.0010579467,"threshold_uncertainty_score":0.9679304},"labels":[],"label_agreement":null},{"id":"W3167654141","doi":"10.2196/25621","title":"Analysis of Population Differences in Digital Conversations About Cancer Clinical Trials: Advanced Data Mining and Extraction Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Stand Up To Cancer","keywords":"Clinical trial; Ethnic group; Population; Medicine; Data extraction; Psychology; MEDLINE; Pathology; Sociology; Political science","score_opus":0.7992562615352641,"score_gpt":0.7213653593883921,"score_spread":0.077890902146872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167654141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99685353,0.0010017989,0.00005111842,0.0010039432,0.00022681498,0.0005197532,0.00022513943,0.000011079927,0.000106827756],"genre_scores_gemma":[0.99565625,0.003143759,0.00018574263,0.00007764478,0.0001399107,0.00012319193,0.00021463272,0.000008908701,0.00044994376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972119,0.00034319752,0.0011774404,0.00053163443,0.0005939871,0.00014188804],"domain_scores_gemma":[0.9880927,0.010486923,0.0003590259,0.00056528795,0.00039204376,0.00010400703],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0042032576,0.00009084769,0.0008545332,0.00020673197,0.000038517286,0.000041108335,0.00012204242,0.00017697328,0.00036227817],"category_scores_gemma":[0.023278682,0.00007651761,0.00010423537,0.00088397536,0.000116521805,0.00027841743,0.00015481676,0.00053891895,5.258543e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027877017,0.00042262572,0.9024034,0.000055387398,0.0006652974,0.000009212606,0.00047406906,0.000026632915,0.000062865154,0.000019573128,0.000028243432,0.09555389],"study_design_scores_gemma":[0.0018527397,0.00012163191,0.9879921,0.00022700329,0.00076378626,3.1878992e-7,0.002494692,0.006283684,0.0000096532885,0.000091168346,0.00009275552,0.0000704442],"about_ca_topic_score_codex":0.0011389179,"about_ca_topic_score_gemma":0.030990273,"teacher_disagreement_score":0.095483445,"about_ca_system_score_codex":0.000093841205,"about_ca_system_score_gemma":0.00046388427,"threshold_uncertainty_score":0.98669165},"labels":[],"label_agreement":null},{"id":"W3167732227","doi":"10.2196/23790","title":"Email Patient-Provider Communication and Cancer Screenings Among US Adults: Cross-sectional Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Family medicine; Health Information National Trends Survey; Logistic regression; Cross-sectional study; Breast cancer; Cervical cancer; Health care; Cancer screening; Patient portal; Cancer; Internal medicine; Health information","score_opus":0.05362285316069251,"score_gpt":0.4754053895150341,"score_spread":0.4217825363543416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167732227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99381846,0.0013060048,0.000029872364,0.0005048369,0.00058467407,0.0015731532,0.00016270716,0.000086666565,0.0019336077],"genre_scores_gemma":[0.98883206,0.00030220658,0.00023041164,0.005473082,0.00020086378,0.0033279324,0.00008574788,0.000018040691,0.0015296345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997146,0.0005355831,0.0012535683,0.00034366394,0.00034392133,0.00037725642],"domain_scores_gemma":[0.99749476,0.00021730622,0.00058734376,0.0005091173,0.0010050067,0.00018647028],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00063645653,0.00015412986,0.00022895225,0.000060063314,0.0013399329,0.00008275229,0.00015258747,0.0001837759,0.0046886215],"category_scores_gemma":[0.00018080449,0.00013609769,0.00004290965,0.0002966391,0.00010792796,0.0014120629,0.0002462736,0.00073229684,0.00004750184],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016381347,0.00010221151,0.9709871,0.00035721133,0.000020293051,7.7356594e-7,0.013920491,0.000015585758,0.0000034522357,0.000033173124,0.002699499,0.011696444],"study_design_scores_gemma":[0.0014453162,0.000041868578,0.94423157,0.0003000093,0.0000065869544,5.1031157e-7,0.004655623,0.0007738701,0.000011044193,0.00003153525,0.04836074,0.00014135828],"about_ca_topic_score_codex":0.013517079,"about_ca_topic_score_gemma":0.009694219,"teacher_disagreement_score":0.045661237,"about_ca_system_score_codex":0.00036914594,"about_ca_system_score_gemma":0.0006573403,"threshold_uncertainty_score":0.9999602},"labels":[],"label_agreement":null},{"id":"W3167946628","doi":"10.2196/30265","title":"Improving Electronic Survey Response Rates Among Cancer Center Patients During the COVID-19 Pandemic: Mixed Methods Pilot Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; Moffitt Cancer Center","keywords":"Medicine; Pandemic; Incentive; Coronavirus disease 2019 (COVID-19); Family medicine; Demography; Internal medicine","score_opus":0.2686547338767824,"score_gpt":0.5314575164339475,"score_spread":0.26280278255716505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167946628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99550784,0.0009876831,0.00023958294,0.00061505055,0.0014082984,0.000996019,0.00010054544,0.00010632362,0.000038686183],"genre_scores_gemma":[0.99362373,0.00035151676,0.000122194,0.0009251924,0.00021556222,0.0010438045,0.000010889219,0.00003596253,0.0036711353],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.8681331,0.12960759,0.00037217035,0.00061739533,0.00041337634,0.00085635233],"domain_scores_gemma":[0.97178686,0.026895646,0.0002618955,0.00044598535,0.00035856513,0.0002510269],"candidate_categories":["metaresearch","sts","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.068217576,0.00025068485,0.00037862122,0.00010059335,0.00145695,0.000113980124,0.0005023251,0.00013885855,0.0010212528],"category_scores_gemma":[0.034697402,0.00019751886,0.000095293464,0.00090968265,0.00041584368,0.00022179664,0.00021013616,0.0005774043,0.000007874858],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.020619918,0.00033266266,0.9637956,0.00001226494,0.00013307309,0.000011164194,0.009607038,0.000021663222,0.0025733304,0.000004579164,0.00043685912,0.0024518236],"study_design_scores_gemma":[0.0016247781,0.00021241346,0.9848745,0.00001017516,0.000031748637,0.0000010871174,0.003023558,0.0000059667905,0.00072418066,0.00002816058,0.009202365,0.00026105947],"about_ca_topic_score_codex":0.05760764,"about_ca_topic_score_gemma":0.4486018,"teacher_disagreement_score":0.3909942,"about_ca_system_score_codex":0.0013507314,"about_ca_system_score_gemma":0.002862889,"threshold_uncertainty_score":0.99989194},"labels":[],"label_agreement":null},{"id":"W3168444698","doi":"10.2196/23637","title":"Development of a Digital Patient Education Tool for Patients With Cancer During the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Jewish General Hospital; McGill University","funders":"National Cancer Institute; National Institutes of Health","keywords":"Context (archaeology); Pandemic; Medicine; Coronavirus disease 2019 (COVID-19); Animation; Health care; Multimedia; Nursing; Oncology; Internal medicine; Disease; Computer science","score_opus":0.03655348701049373,"score_gpt":0.3846956396478723,"score_spread":0.3481421526373786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168444698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965066,0.0002506301,0.00015447752,0.0014043166,0.00016499337,0.0013612547,0.0000965198,0.000018439623,0.00004279802],"genre_scores_gemma":[0.9935394,0.000041833886,0.0006848387,0.002544828,0.0001315558,0.0025114473,0.00022063131,0.00001501813,0.000310434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991129,0.0000089500645,0.00029757002,0.00016390932,0.0002506659,0.00016602897],"domain_scores_gemma":[0.99929005,0.000041867443,0.00016659075,0.00012829035,0.00027781728,0.00009535748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004220476,0.00008781045,0.00014167397,0.000038141636,0.000104118604,0.000008898691,0.000031521377,0.00002497111,0.00022554825],"category_scores_gemma":[0.00005600705,0.000055836263,0.00002661468,0.00015347415,0.000023200659,0.0000692242,0.00001756742,0.00005723116,7.805723e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032173606,0.0001841961,0.80123997,0.00056135,0.000055845376,4.909182e-7,0.0037928708,0.0000039504357,0.00021282335,0.0000075416247,0.0025792639,0.19103998],"study_design_scores_gemma":[0.0032410568,0.00020123548,0.7079774,0.00017667528,0.000062943625,0.0000068213794,0.001676313,0.0000035482979,0.0014594379,0.000013270173,0.28506684,0.00011443502],"about_ca_topic_score_codex":0.00006704215,"about_ca_topic_score_gemma":0.00034001694,"teacher_disagreement_score":0.28248757,"about_ca_system_score_codex":0.000505093,"about_ca_system_score_gemma":0.0030824502,"threshold_uncertainty_score":0.5468134},"labels":[],"label_agreement":null},{"id":"W3171625822","doi":"10.2196/28370","title":"Usability, Acceptability, and Safety Analysis of a Computer-Tailored Web-Based Exercise Intervention (ExerciseGuide) for Individuals With Metastatic Prostate Cancer: Multi-Methods Laboratory-Based Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council; Marshfield Clinic Research Foundation","keywords":"Usability; Medicine; Psychological intervention; Prostate cancer; Telehealth; Intervention (counseling); Telemedicine; Physical therapy; Health care; Cancer; Internal medicine; Computer science; Nursing","score_opus":0.02878490957126673,"score_gpt":0.39445670308646735,"score_spread":0.3656717935152006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171625822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9696501,0.0024292408,0.020468459,0.00046570104,0.00023333349,0.004266884,0.0024085538,0.000073628355,0.0000040948107],"genre_scores_gemma":[0.95618707,0.00009076444,0.038723864,0.0002633767,0.00004340053,0.0042744568,0.00029786292,0.00005329178,0.0000659063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968744,0.00052301376,0.000883943,0.00086354767,0.00050300686,0.0003521097],"domain_scores_gemma":[0.9969913,0.00033713656,0.00042425044,0.0007329638,0.0012928675,0.0002215205],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013568864,0.00036101657,0.0014836768,0.0003869241,0.00010285935,0.00006563051,0.00014636849,0.00008843727,0.0006376719],"category_scores_gemma":[0.00007944008,0.0003025457,0.0004205153,0.0022829084,0.00019012201,0.00012984076,0.000092769595,0.00019200848,2.813317e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028842248,0.0020670788,0.8808011,0.0022119812,0.0018613626,0.000009864937,0.002673041,0.0023852193,0.0003593623,0.0000018058498,0.00007386454,0.10467112],"study_design_scores_gemma":[0.022222048,0.0013835134,0.9123496,0.0009322899,0.012117978,6.344712e-7,0.0037497939,0.037114862,0.0069775125,0.000009676027,0.0026157566,0.0005263284],"about_ca_topic_score_codex":0.0022500884,"about_ca_topic_score_gemma":0.0402526,"teacher_disagreement_score":0.10414479,"about_ca_system_score_codex":0.0003602232,"about_ca_system_score_gemma":0.0012281316,"threshold_uncertainty_score":0.99994266},"labels":[],"label_agreement":null},{"id":"W3178850960","doi":"10.2196/28527","title":"Search Behavior Regarding Cancer Susceptibility Genes Using a Clinical Decision Support Tool for Gene-Specific Penetrance: Content Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"CHEK2; Penetrance; Cancer; Gene; Population; Germline; Genetic testing; Incidence (geometry); Germline mutation; Medicine; Genetics; Biology; Mutation; Mathematics; Phenotype","score_opus":0.1463201377550353,"score_gpt":0.44621438251914225,"score_spread":0.299894244764107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178850960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96513736,0.008328467,0.023922758,0.00012255197,0.0010465223,0.0008178331,0.0005849313,0.000018257724,0.000021301066],"genre_scores_gemma":[0.97158426,0.005027697,0.018815042,0.00035022796,0.0014360625,0.0015073221,0.00033363863,0.00006386215,0.0008818974],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99709326,0.00013378686,0.00074216945,0.0011706844,0.00036961984,0.0004904538],"domain_scores_gemma":[0.9976953,0.00006780114,0.00017147738,0.00089290534,0.0010298515,0.0001426415],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00064446445,0.00026267476,0.00047812905,0.00010275444,0.00022168239,0.00008595563,0.00028064885,0.00031445915,0.00074352714],"category_scores_gemma":[0.00006545656,0.00026630933,0.00070446567,0.00056869135,0.00016094663,0.000013857714,0.00017192397,0.00017552909,0.000003829908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039527877,0.00015363115,0.37523943,0.000033653207,0.0006168596,0.000011272584,0.000065262306,0.0048855604,0.5415454,0.0000046239456,0.0024946716,0.07455436],"study_design_scores_gemma":[0.0029976745,0.00021128295,0.24109182,0.00004915419,0.0011403287,0.00001987877,0.00030763092,0.001556564,0.6661437,0.000014342084,0.08568127,0.0007863256],"about_ca_topic_score_codex":0.00013426159,"about_ca_topic_score_gemma":0.001521357,"teacher_disagreement_score":0.13414763,"about_ca_system_score_codex":0.00045478152,"about_ca_system_score_gemma":0.0013712458,"threshold_uncertainty_score":0.9999789},"labels":[],"label_agreement":null},{"id":"W3180016080","doi":"10.2196/30730","title":"Strategies for the Identification and Prevention of Survey Fraud: Data Analysis of a Web-Based Survey","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Patient-Centered Outcomes Research Institute","keywords":"CAPTCHA; Identification (biology); Data quality; Survey data collection; Social media; Incentive; Computer science; Web application; Internet privacy; Psychology; Computer security; World Wide Web; Statistics; Business; Mathematics","score_opus":0.5100129480820306,"score_gpt":0.5479787724618534,"score_spread":0.03796582437982288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180016080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9713371,0.0012637,0.024554702,0.0003105564,0.00020547892,0.0003034501,0.0019672222,0.000007673182,0.0000501373],"genre_scores_gemma":[0.9984525,0.0002693516,0.00035825605,0.000021169593,0.000019028039,0.00006091261,0.00041448403,0.0000032460205,0.0004010411],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9889797,0.010345098,0.00023112335,0.00019910764,0.00015430128,0.000090662],"domain_scores_gemma":[0.9840582,0.014969646,0.00021701699,0.0003682897,0.00036899903,0.000017866954],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.034941234,0.00004454172,0.00018446748,0.00007092434,0.00013187654,0.00002620317,0.0002201911,0.000070035625,0.00016984473],"category_scores_gemma":[0.0060154693,0.00003634526,0.00005126188,0.00095330505,0.00023438635,0.00012359091,0.000031229327,0.000039493407,1.8698341e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026840398,0.00011830215,0.9720436,0.000058094418,0.0011183752,3.0820084e-7,0.0029610575,0.00047770725,0.004795804,0.00068081665,0.0030416644,0.012020231],"study_design_scores_gemma":[0.00017437944,0.000009992677,0.9953718,0.0000066281827,0.00020541938,1.2747814e-8,0.0011490022,0.0011854363,0.00055744016,0.00018719365,0.0011131065,0.000039558498],"about_ca_topic_score_codex":0.017301537,"about_ca_topic_score_gemma":0.48542127,"teacher_disagreement_score":0.4681197,"about_ca_system_score_codex":0.000013414671,"about_ca_system_score_gemma":0.0009199136,"threshold_uncertainty_score":0.9937311},"labels":[],"label_agreement":null},{"id":"W3180802832","doi":"10.2196/26574","title":"Selecting a Subset Based on the Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events for Patient-Reported Symptom Monitoring in Lung Cancer Treatment: Mixed Methods Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Stichting Kwaliteitsgelden Medisch Specialisten; GlaxoSmithKline","keywords":"Common Terminology Criteria for Adverse Events; Medicine; Lung cancer; Nausea; Adverse effect; Terminology; MEDLINE; Constipation; Quality of life (healthcare); Physical therapy; Family medicine; Intensive care medicine; Internal medicine; Nursing","score_opus":0.04600866275881598,"score_gpt":0.4138050157044602,"score_spread":0.3677963529456442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180802832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921115,0.0002858994,0.000039268856,0.000710343,0.0026098802,0.004027731,0.00015291534,0.000030528638,0.00003190504],"genre_scores_gemma":[0.993102,0.000017127575,0.00017405998,0.000269231,0.00009093895,0.0061240247,0.000040355142,0.000044699267,0.00013753999],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977985,0.00040944543,0.00064890226,0.00046374812,0.0003107538,0.00036864966],"domain_scores_gemma":[0.99780774,0.0006727372,0.00050163135,0.00061245495,0.00034187915,0.000063585096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002997229,0.0002776199,0.0006159033,0.000112417016,0.00017912283,0.000008190511,0.00011490163,0.00011783997,0.0000705878],"category_scores_gemma":[0.00022314655,0.00017359934,0.00032483527,0.000447241,0.000034027,0.00005118922,0.00006002866,0.00016465403,1.181106e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013278647,0.0006930898,0.9626893,0.00017071946,0.00049614266,0.00002019317,0.0060755643,0.00013195608,0.0036196867,0.0000012720459,0.00017872495,0.024595506],"study_design_scores_gemma":[0.008766284,0.0012020634,0.9060618,0.0007917033,0.0009567088,0.0000059310105,0.009286995,0.0024873042,0.068108365,0.000012057209,0.0020498838,0.00027089316],"about_ca_topic_score_codex":0.003629975,"about_ca_topic_score_gemma":0.006307649,"teacher_disagreement_score":0.06448868,"about_ca_system_score_codex":0.000857014,"about_ca_system_score_gemma":0.00047476665,"threshold_uncertainty_score":0.7079176},"labels":[],"label_agreement":null},{"id":"W3181611529","doi":"10.2196/29912","title":"First-line Advanced Cutaneous Melanoma Treatments: Where Do We Stand?","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Clinical trial; Intensive care medicine; Adverse effect; Melanoma; Immunotherapy; Randomized controlled trial; Scarcity; Surgery; Cancer; Internal medicine; Cancer research","score_opus":0.024440085063184718,"score_gpt":0.3555394913036441,"score_spread":0.33109940624045936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181611529","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71118796,0.23281392,0.00005637299,0.022686593,0.00075224123,0.0020549884,0.00025418127,0.00025354137,0.029940223],"genre_scores_gemma":[0.29722103,0.15640074,0.00071945175,0.0004862901,0.0011966187,0.0011688053,0.000042819724,0.0001699664,0.54259425],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983912,0.000037843205,0.00022304773,0.00043872133,0.00048116973,0.0004280217],"domain_scores_gemma":[0.99885845,0.00007692324,0.00005183417,0.0005615597,0.00022651456,0.0002247336],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000042817705,0.00021051981,0.00038156216,0.000064821965,0.00008391737,0.000034532135,0.00009463915,0.000112370646,0.04304577],"category_scores_gemma":[0.000022554192,0.00017636409,0.00015032702,0.00034959713,0.000058272057,0.00006400773,0.00005727606,0.00024809982,0.00014775158],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003383244,0.0008090513,0.009963667,0.0007538185,0.00087245606,0.005688016,0.0013228368,0.00019162364,0.08527066,0.000077495606,0.019330552,0.87233657],"study_design_scores_gemma":[0.0044631297,0.00061264395,0.00089128973,0.0006192029,0.00007881933,0.0003487885,0.00026264478,0.00009332457,0.016094696,0.00011158362,0.97623116,0.00019270282],"about_ca_topic_score_codex":0.00007649173,"about_ca_topic_score_gemma":0.0006577966,"teacher_disagreement_score":0.9569006,"about_ca_system_score_codex":0.00070259476,"about_ca_system_score_gemma":0.00045445882,"threshold_uncertainty_score":0.957829},"labels":[],"label_agreement":null},{"id":"W3182655775","doi":"10.2196/27970","title":"A Natural Language Processing–Assisted Extraction System for Gleason Scores: Development and Usability Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; Abramson Cancer Center; University of Pennsylvania Health System; University of Pennsylvania","keywords":"Artificial intelligence; Medicine; Prostate cancer; Cohort; Natural language processing; Categorization; Computer science; Cancer; Pathology; Internal medicine","score_opus":0.022899252833520907,"score_gpt":0.35244826165148824,"score_spread":0.32954900881796734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182655775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98850983,0.010556205,0.00031638338,0.00007869751,0.00017641169,0.0002794075,0.0000071158656,0.000027072178,0.000048888793],"genre_scores_gemma":[0.996937,0.00001075653,0.0017998685,0.000044066088,0.00013364562,0.00041125526,0.00003278964,0.000007761554,0.00062285195],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99933946,0.000031304706,0.00012462257,0.0002892055,0.00008523768,0.0001301397],"domain_scores_gemma":[0.9997045,0.000011725576,0.000050309598,0.00011311796,0.00008078914,0.00003959811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010468607,0.00008605369,0.00011507437,0.000011096483,0.00008907516,0.00003060415,0.000047846963,0.000083629144,0.0000050094923],"category_scores_gemma":[0.00006777963,0.0000695336,0.0000260456,0.000056324086,0.00004313907,0.0000025954241,0.000040613675,0.00005451082,4.8942695e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023856694,0.0002588462,0.021694291,0.0005769039,0.00008651006,0.000014465392,0.0014978893,8.427663e-7,0.1607579,0.000001937083,0.0009259502,0.8139459],"study_design_scores_gemma":[0.0032672363,0.0005122417,0.5901535,0.00038142427,0.00008423446,0.000075223295,0.027680853,0.00035015852,0.25514096,0.0000025039535,0.12176552,0.000586122],"about_ca_topic_score_codex":0.000027117323,"about_ca_topic_score_gemma":0.00047381318,"teacher_disagreement_score":0.8133598,"about_ca_system_score_codex":0.00004486416,"about_ca_system_score_gemma":0.00017563248,"threshold_uncertainty_score":0.2835498},"labels":[],"label_agreement":null},{"id":"W3183425357","doi":"10.2196/30430","title":"Prostate Cancer Risk Calculators for Healthy Populations: Systematic Review","year":2021,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Prostate cancer; Medicine; Population; Cancer; Portuguese; Gynecology; Systematic review; Risk assessment; MEDLINE; Oncology; Medical physics; Internal medicine; Environmental health; Computer science","score_opus":0.10081805298594806,"score_gpt":0.47039994809222535,"score_spread":0.36958189510627726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183425357","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000027977792,0.96368164,0.0000065074546,0.0008982825,0.00088537775,0.031461596,0.0029548714,0.00008138751,0.000027557759],"genre_scores_gemma":[0.0000012884079,0.83565897,0.00013650932,0.0014720017,0.0003975611,0.15997416,0.0010450409,0.00015256285,0.0011618924],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9962055,0.00025161504,0.0016440385,0.0008910032,0.00043250978,0.0005753437],"domain_scores_gemma":[0.99667126,0.0001765545,0.0014724055,0.0009314973,0.0004083662,0.0003399032],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003490825,0.0007335888,0.0058912747,0.00015081825,0.00017844937,0.000044972076,0.00014599002,0.00026653975,0.00030604453],"category_scores_gemma":[0.00017492351,0.00049432146,0.0015348624,0.0006528722,0.00004083464,0.00007126834,0.000052290456,0.00039667622,0.000031479543],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000109253415,0.00011931129,0.00016292425,0.78814715,0.0010820599,0.000018596998,0.00003580498,9.664511e-7,3.9848644e-9,0.000054267533,0.018999401,0.19136858],"study_design_scores_gemma":[0.00041624653,0.000098529614,0.00001159786,0.50370425,0.0133665325,0.000016339267,0.0000053119343,0.0000023461325,1.5337578e-7,0.0000054786506,0.4821306,0.00024261101],"about_ca_topic_score_codex":0.0005299088,"about_ca_topic_score_gemma":0.00022768565,"teacher_disagreement_score":0.4631312,"about_ca_system_score_codex":0.0025357208,"about_ca_system_score_gemma":0.0026266442,"threshold_uncertainty_score":0.99975085},"labels":[],"label_agreement":null},{"id":"W3184484841","doi":"10.2196/28279","title":"Stakeholders’ Perspectives on eHealth Support in Colorectal Cancer Survivorship: Qualitative Interview Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitetet i Stavanger","keywords":"eHealth; Psychological intervention; Nursing; Medicine; Qualitative research; Competence (human resources); Coping (psychology); Health care; Psychology","score_opus":0.14741101622205438,"score_gpt":0.44144572611998417,"score_spread":0.2940347098979298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184484841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828262,0.005633122,0.0000066822863,0.0046185646,0.0009923087,0.0013336112,0.00017735589,0.000075436124,0.004336739],"genre_scores_gemma":[0.99161077,0.0012440715,0.000009246284,0.0015999383,0.00033994697,0.0018776432,0.00003432744,0.000059423357,0.003224614],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9968244,0.0007731021,0.00046598914,0.00080639013,0.00060274027,0.0005273847],"domain_scores_gemma":[0.9986954,0.0001813302,0.00014035792,0.00035722312,0.00038825767,0.000237454],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007298318,0.0003242378,0.0007351932,0.00019684542,0.00007464213,0.00003666524,0.0001344126,0.00012004786,0.0041708876],"category_scores_gemma":[0.00007307985,0.00029714569,0.00018431954,0.00090897694,0.00010084057,0.00011171112,0.00006760513,0.00061109656,0.000034907465],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013960686,0.0025503072,0.18925343,0.0005807581,0.00036954653,0.00057224947,0.7831771,0.000013546581,0.0005399989,0.00039345404,0.0040088063,0.017144756],"study_design_scores_gemma":[0.003401544,0.0016049227,0.2749414,0.0007049346,0.00009140362,0.0000114075165,0.70826507,0.000008087889,0.0012907229,0.000046145586,0.009215078,0.00041924568],"about_ca_topic_score_codex":0.025641672,"about_ca_topic_score_gemma":0.42408198,"teacher_disagreement_score":0.39844033,"about_ca_system_score_codex":0.0014358946,"about_ca_system_score_gemma":0.0013462864,"threshold_uncertainty_score":0.9999481},"labels":[],"label_agreement":null},{"id":"W3184860510","doi":"10.2196/27073","title":"Suggested Modifications to the Management of Patients With Breast Cancer During the COVID-19 Pandemic: Web-Based Survey Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Breast cancer; Radiation therapy; Cancer; Disease; Internal medicine; Oncology; Hormonal therapy; Metastatic breast cancer; Pandemic; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty)","score_opus":0.0936988460539408,"score_gpt":0.4193585818971029,"score_spread":0.3256597358431621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184860510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9736985,0.00020224534,0.000038269874,0.022607706,0.000105690175,0.0024815735,0.00079108286,0.000041002007,0.000033946333],"genre_scores_gemma":[0.990867,0.00010217577,0.00001131996,0.006987866,0.00006829729,0.0012922991,0.000039972172,0.000023655062,0.0006073795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984813,0.00018978336,0.00025702378,0.00030487054,0.0004978527,0.00026921238],"domain_scores_gemma":[0.9983379,0.0001550692,0.0001180739,0.00067657005,0.0004603025,0.00025206004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000334813,0.00014510736,0.0002310577,0.00006308157,0.00022211474,0.000019978885,0.00016173859,0.000036004683,0.00033173364],"category_scores_gemma":[0.000044633514,0.00007790137,0.00004281708,0.00078522065,0.000049120907,0.00003098779,0.000062077415,0.00016930574,0.0000048507477],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008749859,0.00043734026,0.9922407,0.0004174701,0.00019468572,0.0000105708705,0.0011237122,0.0011840431,0.000035038487,0.0000046965692,0.0015952373,0.001881497],"study_design_scores_gemma":[0.0034838542,0.000098206154,0.98674303,0.00014061981,0.00012397578,0.0000021237267,0.00057052955,0.000040103663,0.000019734598,6.4852713e-7,0.008680526,0.00009662438],"about_ca_topic_score_codex":0.01100731,"about_ca_topic_score_gemma":0.059466705,"teacher_disagreement_score":0.048459396,"about_ca_system_score_codex":0.00075272896,"about_ca_system_score_gemma":0.001719749,"threshold_uncertainty_score":0.99557847},"labels":[],"label_agreement":null},{"id":"W3185362152","doi":"10.2196/26425","title":"Physical Comorbidities and Their Relationship with Cancer Treatment and Its Outcomes in Older Adult Populations: Systematic Review","year":2021,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Frailty in Older Adults","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of New England; Hunter New England Local Health District","keywords":"Comorbidity; Medicine; Cancer; MEDLINE; Cancer registry; Clinical trial; Internal medicine; Gerontology; Physical therapy","score_opus":0.10543956740201275,"score_gpt":0.41506570840401913,"score_spread":0.30962614100200636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185362152","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00067920145,0.9909213,7.452055e-7,0.001139182,0.00009660482,0.0068097604,0.00025712972,0.000037423903,0.000058634985],"genre_scores_gemma":[0.0009361528,0.98169774,0.000021083162,0.00028885066,0.000120511664,0.013445055,0.00017490973,0.00006978514,0.003245898],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99815017,0.00023532713,0.0006723509,0.00049015466,0.00021344094,0.00023856091],"domain_scores_gemma":[0.998533,0.00039803973,0.00036622895,0.00042547783,0.00015610407,0.00012116679],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007843011,0.0005597298,0.0038456025,0.00013659072,0.00006314351,0.00003229292,0.00006594727,0.00015533975,0.00006196628],"category_scores_gemma":[0.00014777613,0.00030415907,0.00022286293,0.00034422372,0.00006174076,0.0001001608,0.000035713412,0.00031693076,0.000005612507],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004047562,0.00014938833,0.0041612335,0.96779186,0.0005130096,0.000025643225,0.00087294413,5.2651296e-7,2.9172249e-8,0.00023257268,0.0004227391,0.02582603],"study_design_scores_gemma":[0.00093541,0.000096158634,0.0025166557,0.9772021,0.0040113917,0.0001228182,0.00012817225,0.000018627212,3.299843e-7,0.000009628872,0.014595808,0.00036289456],"about_ca_topic_score_codex":0.0003601374,"about_ca_topic_score_gemma":0.0017186039,"teacher_disagreement_score":0.025463134,"about_ca_system_score_codex":0.0006087176,"about_ca_system_score_gemma":0.00041291417,"threshold_uncertainty_score":0.99994105},"labels":[],"label_agreement":null},{"id":"W3186836747","doi":"10.2196/30492","title":"COVID-19 Communication From Seven Health Care Institutions in North Texas for English- and Spanish-Speaking Cancer Patients: Mixed Method Website Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; National Institutes of Health","keywords":"Health equity; Readability; Thematic analysis; The Internet; Health care; Pandemic; Ethnic group; Medical education; Psychology; Medicine; Coronavirus disease 2019 (COVID-19); Political science; Sociology; Public health; Nursing; World Wide Web; Computer science; Social science","score_opus":0.1064338212556316,"score_gpt":0.5274871473606788,"score_spread":0.4210533261050472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186836747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811667,0.0027566005,0.0023793953,0.002906156,0.0013031104,0.0055342,0.0030391628,0.00010727907,0.0008073708],"genre_scores_gemma":[0.96657944,0.00062293693,0.003943872,0.02214047,0.00029331123,0.004798807,0.0014949044,0.00002270007,0.000103535735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99597126,0.0015399443,0.0013795149,0.0004198013,0.00023117336,0.00045827572],"domain_scores_gemma":[0.9966511,0.00077182276,0.00067370676,0.00055298186,0.0009636148,0.0003867562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009763403,0.00018523974,0.00043643452,0.000115831,0.0012955494,0.000043430908,0.00021404753,0.00014521976,0.00036612054],"category_scores_gemma":[0.00088737276,0.00017536635,0.00004586305,0.0005464592,0.000041527594,0.00088437216,0.00022086756,0.0006329354,0.00000698254],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009605415,0.000184798,0.81729317,0.0008774772,0.000020089861,2.4564008e-7,0.16428638,0.00011303593,3.4413495e-7,0.000102974,0.0024842448,0.014541225],"study_design_scores_gemma":[0.0027741743,0.000039348855,0.6253277,0.00020994656,0.000012223063,3.0455375e-8,0.022638176,0.00022130022,0.0000021663004,0.000021095066,0.3486169,0.00013694166],"about_ca_topic_score_codex":0.031605896,"about_ca_topic_score_gemma":0.36746866,"teacher_disagreement_score":0.34613267,"about_ca_system_score_codex":0.0024293386,"about_ca_system_score_gemma":0.0062214555,"threshold_uncertainty_score":0.99941236},"labels":[],"label_agreement":null},{"id":"W3197130475","doi":"10.2196/29555","title":"Understanding Communication in an Online Cancer Forum: Content Analysis Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Feeling; Psychology; Latent Dirichlet allocation; Online discussion; Cancer; Social psychology; Anxiety; Family member; Topic model; Medicine; World Wide Web; Computer science; Natural language processing; Family medicine; Psychiatry","score_opus":0.3597992966554109,"score_gpt":0.4286396403004793,"score_spread":0.06884034364506841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197130475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991185,0.0039196187,0.00012660347,0.0036372696,0.00017488624,0.00046202017,0.000071642935,0.000037599304,0.00038537392],"genre_scores_gemma":[0.99658453,0.00080082554,0.000026089663,0.001190595,0.000086123866,0.0004020139,0.0001598586,0.000019341367,0.0007306347],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883497,0.00011475079,0.00026502716,0.00029928805,0.0002723178,0.00021363908],"domain_scores_gemma":[0.99902993,0.0000308627,0.00007632105,0.00057345664,0.00018385178,0.00010560261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116597104,0.000125114,0.0003807568,0.00018775216,0.00006574596,0.000030929077,0.0001020172,0.00006148418,0.0007975538],"category_scores_gemma":[0.000009536461,0.00011762288,0.00011627102,0.0012055819,0.00003233576,0.00011059722,0.00005751339,0.00022409532,0.0000012851199],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015159747,0.00044727608,0.98979974,0.000029365036,0.00042674327,0.000034854005,0.00495365,0.00020127505,0.00040968423,0.00009268192,0.00022870713,0.0032243996],"study_design_scores_gemma":[0.0021618134,0.00013902225,0.9079896,0.000165464,0.00073229754,0.0000016678936,0.08560651,0.0010224024,0.00017595384,0.000047005273,0.0017710152,0.00018720448],"about_ca_topic_score_codex":0.018159892,"about_ca_topic_score_gemma":0.827046,"teacher_disagreement_score":0.80888605,"about_ca_system_score_codex":0.0010644583,"about_ca_system_score_gemma":0.0002545021,"threshold_uncertainty_score":0.9883783},"labels":[],"label_agreement":null},{"id":"W3198529841","doi":"10.2196/28234","title":"Using Social Media for Peer-to-Peer Cancer Support: Interviews With Young Adults With Cancer","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"American Cancer Society","keywords":"Social media; Moderation; Social support; Peer support; Psychology; Young adult; Social isolation; Internet privacy; Social psychology; Developmental psychology; Psychiatry; World Wide Web; Computer science","score_opus":0.0747924236887639,"score_gpt":0.39763407985929144,"score_spread":0.3228416561705275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198529841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91503596,0.0035895468,0.0012770979,0.07035669,0.0028269284,0.0032367562,0.0021418224,0.00023386827,0.001301301],"genre_scores_gemma":[0.9392591,0.000466883,0.0062238337,0.021404136,0.010105937,0.007736446,0.00046010074,0.00045322263,0.013890336],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99559486,0.00009423979,0.0006667161,0.0010405408,0.0016944904,0.00090915203],"domain_scores_gemma":[0.9961926,0.000117568256,0.00036180162,0.0005456852,0.0022858973,0.00049644563],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043776352,0.00055465364,0.0011263926,0.0001528659,0.0002456207,0.00009230853,0.0002501955,0.00021533169,0.003151314],"category_scores_gemma":[0.00014151524,0.00044673673,0.0002522324,0.00077708677,0.00016782735,0.00023506099,0.00011147816,0.0004690579,0.000015182585],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.017632576,0.0010908901,0.11839047,0.006214217,0.003212394,0.00046123622,0.28006247,0.00047207283,0.003932846,0.00022534598,0.47712973,0.09117578],"study_design_scores_gemma":[0.026885131,0.0013277701,0.11104439,0.010602294,0.002266506,0.00026523462,0.02419737,0.00044990357,0.016190628,0.000055951336,0.8038424,0.0028723793],"about_ca_topic_score_codex":0.008074519,"about_ca_topic_score_gemma":0.19372953,"teacher_disagreement_score":0.32671273,"about_ca_system_score_codex":0.0010667606,"about_ca_system_score_gemma":0.00318805,"threshold_uncertainty_score":0.9997984},"labels":[],"label_agreement":null},{"id":"W3200688001","doi":"10.2196/27854","title":"Nursing Student Perceptions and Attitudes Toward Patients With Cancer After Education and Mentoring: Integrative Review","year":2021,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Nursing education and management","field":"Nursing","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perception; Nursing; Psychology; Nurse education; Medicine; Medical education","score_opus":0.03723844012004756,"score_gpt":0.4502690650678789,"score_spread":0.4130306249478313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200688001","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023063646,0.99126667,0.0000029072849,0.0012726323,0.0043244585,0.0023393384,0.000042417247,0.000035290635,0.000485644],"genre_scores_gemma":[0.00015985694,0.9886565,0.00012916506,0.0007664329,0.00034655648,0.0056498204,0.00012965502,0.00006150652,0.004100477],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983116,0.00015046036,0.0003632089,0.00061607955,0.00030526795,0.00025343065],"domain_scores_gemma":[0.9990386,0.000027275044,0.00026925423,0.00028414078,0.00023371572,0.00014703818],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007626452,0.00042432756,0.0009177914,0.0001528775,0.00012695456,0.000160667,0.00011051609,0.000097108794,0.000473714],"category_scores_gemma":[0.000010606338,0.0003121697,0.000106700856,0.00029647572,0.00011281938,0.00016723092,0.000046902493,0.0002810928,0.0000050401927],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008690356,0.00045353983,0.0014957194,0.019768411,0.00013273025,3.3106218e-7,0.004005368,4.86097e-8,3.8625494e-8,0.000025400479,0.032554448,0.94155526],"study_design_scores_gemma":[0.0001306298,0.00004671371,0.01457626,0.25641367,0.0013000846,0.0000018413489,0.00045452357,6.700875e-8,8.496387e-8,0.0000030987876,0.7267895,0.00028352873],"about_ca_topic_score_codex":0.00010348878,"about_ca_topic_score_gemma":0.00010177184,"teacher_disagreement_score":0.9412717,"about_ca_system_score_codex":0.0013787964,"about_ca_system_score_gemma":0.00035032124,"threshold_uncertainty_score":0.99993306},"labels":[],"label_agreement":null},{"id":"W3200742808","doi":"10.2196/27850","title":"Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review","year":2021,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":528,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; York University; University of Toronto; Western University","funders":"Canadian Institutes of Health Research","keywords":"Chatbot; Workflow; Health care; Safeguarding; Clinical decision support system; Medicine; Knowledge management; Computer science; Medical education; Artificial intelligence; Nursing; Decision support system; Political science","score_opus":0.44722791139676604,"score_gpt":0.5870085991151851,"score_spread":0.13978068771841906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200742808","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000010169298,0.9856495,0.0025846497,0.0013996185,0.00020246235,0.010059174,0.00005451724,0.00002850168,0.000020554196],"genre_scores_gemma":[0.000016426477,0.9882239,0.0008213994,0.001011564,0.0005432917,0.008979523,0.00027977457,0.000047393907,0.00007674234],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976015,0.00024826813,0.0012251092,0.0004994395,0.00013955112,0.00028609703],"domain_scores_gemma":[0.99808943,0.00037715925,0.000708341,0.00029157515,0.00031509995,0.00021836843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046813124,0.0002784804,0.0024563917,0.00012334113,0.0002619105,0.00002907773,0.000072798,0.00023943205,0.00004185897],"category_scores_gemma":[0.00022714348,0.00022711552,0.00019406766,0.00033110313,0.00007992547,0.00003394107,0.000041409898,0.00042886977,0.000005968952],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002199448,0.000018405557,0.0000013080597,0.49458417,0.000034844426,6.5825316e-7,0.00033411133,2.8663467e-7,4.842843e-8,0.00021561404,0.00004414702,0.5047642],"study_design_scores_gemma":[0.0000067709266,0.00020730618,6.339347e-8,0.38737634,0.0012770587,0.000101063786,0.0007494379,0.000077079676,0.0000015605185,0.000041988125,0.61001045,0.0001508553],"about_ca_topic_score_codex":0.0003268622,"about_ca_topic_score_gemma":0.00026593942,"teacher_disagreement_score":0.60996634,"about_ca_system_score_codex":0.00083897234,"about_ca_system_score_gemma":0.0023971503,"threshold_uncertainty_score":0.92615026},"labels":[],"label_agreement":null},{"id":"W3201009922","doi":"10.2196/31616","title":"Computer-Based Decision Tools for Shared Therapeutic Decision-making in Oncology: Systematic Review","year":2021,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Clinical decision making; Medicine; Computer science; Oncology; Medical physics; Intensive care medicine","score_opus":0.4603266558322264,"score_gpt":0.5907798433698345,"score_spread":0.1304531875376081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201009922","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[4.3521055e-7,0.95911163,0.00297202,0.000572575,0.0021114976,0.034605354,0.000430731,0.000110880894,0.00008490262],"genre_scores_gemma":[0.0000099069,0.8868805,0.010031726,0.0071888114,0.0002660962,0.09501443,0.00041205864,0.00014834337,0.000048079077],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9879176,0.005058819,0.0046082344,0.0009553282,0.0006104917,0.00084949634],"domain_scores_gemma":[0.951698,0.04157056,0.0030746246,0.002589859,0.00088768004,0.00017926574],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015705562,0.0006874496,0.006097442,0.0004410502,0.0005867997,0.000056488218,0.0015756591,0.0010861135,0.00070550886],"category_scores_gemma":[0.0030658075,0.0005369968,0.000904788,0.0012269759,0.000045004403,0.00021312975,0.00049850513,0.0018363682,0.0001716635],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0000133927015,0.000048506812,0.000006843396,0.5134884,0.000048860118,0.000004242106,0.00023592655,0.000003636952,4.36522e-9,0.00004311939,0.00433807,0.481769],"study_design_scores_gemma":[0.0003688806,0.00005019707,0.0000045084043,0.5370083,0.00039434893,0.0000019166778,0.00010261585,0.00020166671,2.9133336e-9,0.00006139609,0.46155167,0.00025451527],"about_ca_topic_score_codex":0.00004638948,"about_ca_topic_score_gemma":0.0005652266,"teacher_disagreement_score":0.48151448,"about_ca_system_score_codex":0.005036752,"about_ca_system_score_gemma":0.008314189,"threshold_uncertainty_score":0.9997082},"labels":[],"label_agreement":null},{"id":"W3201639721","doi":"10.2196/28852","title":"Current Evidence and Directions for Future Research in eHealth Physical Activity Interventions for Adults Affected by Cancer: Systematic Review","year":2021,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Alberta Health Services; University of Alberta; University of Calgary","funders":"","keywords":"eHealth; CINAHL; Psychological intervention; Scopus; Medicine; MEDLINE; Systematic review; Population; Gerontology; Behavior change methods; Health care; Environmental health; Nursing","score_opus":0.24489448471750555,"score_gpt":0.5845413098848824,"score_spread":0.3396468251673769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201639721","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006553121,0.9754,0.00002262625,0.0012446889,0.0012292836,0.020444645,0.0015497198,0.000038680377,0.0000048721995],"genre_scores_gemma":[0.000098635086,0.8829959,0.000005294888,0.000044992805,0.0010868858,0.11518552,0.00020127604,0.0000629489,0.00031856078],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9968674,0.00076195644,0.0006158703,0.00082132954,0.00043430433,0.0004991389],"domain_scores_gemma":[0.9971885,0.0010601238,0.00039757157,0.00053694734,0.0005960636,0.00022078442],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009067066,0.0003984027,0.0035960993,0.00023677289,0.00015948649,0.00004226524,0.00017198906,0.00020573473,0.000029417548],"category_scores_gemma":[0.0003634182,0.0003074824,0.001161121,0.0012447062,0.00006684888,0.00010358324,0.000079411286,0.00093885494,0.000001616238],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002405161,0.00020557332,0.0000031444854,0.57087356,0.00009594467,7.936234e-7,0.00013419808,7.3302275e-9,1.4573533e-7,0.000010044534,0.007249075,0.42140347],"study_design_scores_gemma":[0.00024813067,0.00012496622,0.000014427028,0.59694666,0.0014699972,0.0000050163117,0.00006370168,0.000006541456,4.952794e-7,0.0000018522849,0.40096295,0.00015527225],"about_ca_topic_score_codex":0.0012675715,"about_ca_topic_score_gemma":0.012520046,"teacher_disagreement_score":0.4212482,"about_ca_system_score_codex":0.0015957982,"about_ca_system_score_gemma":0.0015251308,"threshold_uncertainty_score":0.9999377},"labels":[],"label_agreement":null},{"id":"W3202177903","doi":"10.2196/26226","title":"Features That Middle-aged and Older Cancer Survivors Want in Web-Based Healthy Lifestyle Interventions: Qualitative Descriptive Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Psychological intervention; Thematic analysis; Medicine; Focus group; Gerontology; Qualitative research; Quality of life (healthcare); Residence; Cancer prevention; Descriptive statistics; Intervention (counseling); Family medicine; Cancer; Nursing; Demography","score_opus":0.09514554591331936,"score_gpt":0.41225652819525965,"score_spread":0.3171109822819403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202177903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96462244,0.028491188,0.00002503067,0.0039524883,0.0009450443,0.001394403,0.0001915455,0.0000671012,0.00031076613],"genre_scores_gemma":[0.9919388,0.00090299756,0.000046791487,0.0018491626,0.0001774033,0.0024680223,0.00004147618,0.000050135015,0.0025252034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997378,0.0006868398,0.00040554095,0.00064835884,0.00045521522,0.000426047],"domain_scores_gemma":[0.99883324,0.0002026501,0.00015227297,0.00034895088,0.0002400324,0.00022286935],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005088494,0.00029774243,0.0006153424,0.00021952805,0.00011439718,0.000055812743,0.000092593225,0.00013058833,0.00072478666],"category_scores_gemma":[0.00006702085,0.00026627688,0.0002009024,0.00062978157,0.000117808544,0.00013247353,0.000070793976,0.00051876326,0.0000037980942],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017380266,0.0017574005,0.7069865,0.0017764195,0.00037786746,0.00034161744,0.274026,0.000017521015,0.0004509705,0.000050749073,0.0036469924,0.008829934],"study_design_scores_gemma":[0.0070506902,0.0005811863,0.7227237,0.0028635291,0.00017548323,0.000009083503,0.26254296,0.000026106361,0.00078224344,0.000038743194,0.0028131863,0.0003930492],"about_ca_topic_score_codex":0.039726444,"about_ca_topic_score_gemma":0.74357647,"teacher_disagreement_score":0.70385003,"about_ca_system_score_codex":0.00066797977,"about_ca_system_score_gemma":0.0009552731,"threshold_uncertainty_score":0.99997896},"labels":[],"label_agreement":null},{"id":"W3202252938","doi":"10.2196/25648","title":"The Effect of Foot Reflexology on Chemotherapy-Induced Nausea and Vomiting in Patients With Digestive or Lung Cancer: Randomized Controlled Trial","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Nausea and vomiting management","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Reflexology; Nausea; Randomized controlled trial; Vomiting; Lung cancer; Internal medicine; Cancer; Physical therapy; Chemotherapy; Alternative medicine; Massage","score_opus":0.009012045674841401,"score_gpt":0.3316692107186888,"score_spread":0.32265716504384745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202252938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98988414,0.0005247034,0.000002194893,0.0012735457,0.00024912128,0.0072915694,0.0000036593317,0.000016934431,0.00075412774],"genre_scores_gemma":[0.99538076,0.00025493125,0.000011677069,0.00030419693,0.00017771806,0.0031791287,0.000003795901,0.000024002093,0.0006638118],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9984016,0.000428352,0.00039823857,0.0002718449,0.00025735522,0.00024263092],"domain_scores_gemma":[0.9975239,0.0018458347,0.00028095767,0.00018892322,0.00010965799,0.000050709517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068862515,0.0001828608,0.0012720501,0.000070113456,0.00007093936,0.000016836902,0.00005189486,0.00007178451,0.00005169217],"category_scores_gemma":[0.0004965217,0.00008568292,0.00011383274,0.00017918968,0.00009080665,0.000024488889,0.000027281665,0.00019262465,2.7582487e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.92028767,0.00009864391,0.070250444,0.000116062154,0.0007014885,0.0000149641655,0.00018598049,0.000007129728,0.00012296498,0.00003192669,0.00010628625,0.008076444],"study_design_scores_gemma":[0.9566079,0.0021385795,0.037783395,0.0005567287,0.0003388956,5.105565e-7,0.000026859443,0.00013310839,0.002186883,0.0000035586004,0.00012593322,0.0000976439],"about_ca_topic_score_codex":0.00012619009,"about_ca_topic_score_gemma":0.0002277967,"teacher_disagreement_score":0.03632024,"about_ca_system_score_codex":0.00015256219,"about_ca_system_score_gemma":0.00016398152,"threshold_uncertainty_score":0.3494048},"labels":[],"label_agreement":null},{"id":"W3202503265","doi":"10.2196/24984","title":"Secondhand Smoke Exposure of Expectant Mothers in China: Factoring in the Role of Culture in Data Collection","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Environmental health; Context (archaeology); Harm; Secondhand smoke; China; Tobacco control; Public health; Psychology; Nursing; Social psychology; Political science","score_opus":0.037827434903097215,"score_gpt":0.3421813996141505,"score_spread":0.3043539647110533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202503265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982145,0.0008574121,0.0000014469397,0.00010546461,0.0000720257,0.00019158496,0.000016968279,0.0000030494748,0.00053754885],"genre_scores_gemma":[0.999635,0.00011957435,0.0000066173134,0.000022547394,0.00003100258,0.000057170866,0.000029869401,0.000005817842,0.00009241795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994449,0.00003503206,0.00016621019,0.0001299328,0.00014882599,0.000075104945],"domain_scores_gemma":[0.9996738,0.00001113178,0.00005629037,0.00022539671,0.000024009147,0.0000093900035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001063028,0.000052499716,0.00014316494,0.000069636284,0.000008667652,0.000004157476,0.000069860675,0.00006373147,0.00013604273],"category_scores_gemma":[0.000018718592,0.00003842215,0.000017058197,0.0004086195,0.000013097269,0.00006409162,0.000017771034,0.00014881554,3.635221e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005265591,0.00010733857,0.9398141,0.000040472547,0.0000057535162,0.00000766031,0.025808115,0.000020687747,0.032155525,0.0000056474305,0.00005481577,0.0019272229],"study_design_scores_gemma":[0.0009714966,0.000033590233,0.9541946,0.00020207003,0.000010757618,0.0000031137981,0.010083546,0.000051406638,0.033923976,0.00001599321,0.0004730161,0.000036429607],"about_ca_topic_score_codex":0.0015199874,"about_ca_topic_score_gemma":0.0029832064,"teacher_disagreement_score":0.015724568,"about_ca_system_score_codex":0.000103393984,"about_ca_system_score_gemma":0.000095584226,"threshold_uncertainty_score":0.22977763},"labels":[],"label_agreement":null},{"id":"W3202754444","doi":"10.2196/22931","title":"Remote Monitoring of the Performance Status and Burden of Symptoms of Patients With Gastrointestinal Cancer Via a Consumer-Based Activity Tracker: Quantitative Cohort Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health; Memorial Sloan-Kettering Cancer Center; National Science Foundation","keywords":"Medicine; Performance status; Cohort; Cancer; Internal medicine; Population; Physical therapy","score_opus":0.01531872346116755,"score_gpt":0.30147893198102926,"score_spread":0.28616020851986174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202754444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982527,0.0005573364,0.00002918118,0.000038028622,0.00014764679,0.00080904027,0.00012494935,0.000007749348,0.000033386506],"genre_scores_gemma":[0.99961585,0.000061297724,0.00013719486,0.000008633928,0.000030780953,0.00007732748,0.000003399469,0.000018145653,0.000047393092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987884,0.00007119483,0.00023473807,0.00023816613,0.0004810291,0.00018646152],"domain_scores_gemma":[0.9985792,0.0000749828,0.00030141612,0.00028742998,0.0006895029,0.00006744998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000086270804,0.00014679316,0.00042591075,0.000043964075,0.000038134316,0.0000039858387,0.000060241877,0.00002766197,0.0000475254],"category_scores_gemma":[0.000024244086,0.000101764264,0.00005403182,0.00031726586,0.00020177804,0.00006018792,0.00003598294,0.00017150227,9.734967e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014325327,0.00024482692,0.98021656,0.0005136273,0.00017015546,0.0000024129488,0.0019610722,0.00015830947,0.0034567243,5.485667e-7,0.0000028833415,0.011840352],"study_design_scores_gemma":[0.0023187099,0.001060913,0.97274274,0.0013909065,0.0002383849,0.0000015431617,0.0011038675,0.0003623741,0.020665545,4.4738806e-7,0.000023548528,0.000090998146],"about_ca_topic_score_codex":0.008744337,"about_ca_topic_score_gemma":0.00259675,"teacher_disagreement_score":0.01720882,"about_ca_system_score_codex":0.00013420732,"about_ca_system_score_gemma":0.00056007993,"threshold_uncertainty_score":0.9978565},"labels":[],"label_agreement":null},{"id":"W3203366990","doi":"10.2196/25464","title":"Characteristics of Participants and Nonparticipants in a Blended Internet-Based Physical Activity Trial for Breast and Prostate Cancer Survivors: Cross-sectional Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"KWF Kankerbestrijding","keywords":"Psychological intervention; Breast cancer; Medicine; Survivorship curve; Quality of life (healthcare); Prostate cancer; Physical therapy; Intervention (counseling); Clinical trial; Promotion (chess); Gerontology; Family medicine; Cancer; Internal medicine; Nursing","score_opus":0.06014087834841984,"score_gpt":0.3996006762209534,"score_spread":0.33945979787253355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203366990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969271,0.00012519161,0.000009083615,0.00020056119,0.00046573032,0.0015187075,0.0007265829,0.000016704586,0.000010356327],"genre_scores_gemma":[0.99702513,0.000034374087,0.000004852588,0.000059321377,0.0003572298,0.0022139193,0.000014910911,0.000025393094,0.00026488234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856794,0.00008335588,0.0003017459,0.0004421538,0.00026489625,0.00033990637],"domain_scores_gemma":[0.9991639,0.00012777807,0.00014380958,0.00017526218,0.00024240032,0.0001468115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021255489,0.00017993536,0.00053668313,0.00006267148,0.000036052203,0.00004321218,0.000039973984,0.00007201854,0.00008125817],"category_scores_gemma":[0.00005312337,0.0001639809,0.00007535145,0.00019379404,0.00012527946,0.000091316964,0.000050263454,0.00016929126,3.6243347e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.040908433,0.0018633996,0.9408964,0.00042747366,0.00011454926,0.000018683517,0.0029808811,0.0000050190156,0.0019596503,0.000004870784,0.000011739665,0.010808908],"study_design_scores_gemma":[0.031104969,0.0006819503,0.9619898,0.00016923621,0.00011328334,0.0000027932833,0.00025085546,0.0015396003,0.0038864894,0.000008981177,0.00009507008,0.00015697103],"about_ca_topic_score_codex":0.005369089,"about_ca_topic_score_gemma":0.038679305,"teacher_disagreement_score":0.033310216,"about_ca_system_score_codex":0.00012746302,"about_ca_system_score_gemma":0.00052616047,"threshold_uncertainty_score":0.9788623},"labels":[],"label_agreement":null},{"id":"W3204058705","doi":"10.2196/21074","title":"Can artificial Intelligence Support Clinical Decision Making in the Management of Hepatocellular Carcinoma Patients? (Preprint)","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Hepatocellular carcinoma; Medicine; Computer science; Internal medicine; World Wide Web","score_opus":0.1325436933912452,"score_gpt":0.36071927039447177,"score_spread":0.22817557700322658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204058705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945424,0.00018350124,0.00035117383,0.0022803782,0.00012987047,0.0016870716,0.000015670148,0.000021304337,0.0007886029],"genre_scores_gemma":[0.99769235,0.00012470267,0.0006959728,0.0009865784,0.00013690216,0.00030596854,0.00002327606,0.000020327418,0.000013914969],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980473,0.00009472786,0.000734847,0.0004159998,0.00045484505,0.00025231048],"domain_scores_gemma":[0.9992069,0.00009094819,0.00014941981,0.00036273774,0.000080192425,0.000109813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037278613,0.00017230333,0.00035833122,0.00006259086,0.0000390431,0.00001643433,0.00022497846,0.00009326626,0.0005148001],"category_scores_gemma":[0.000025202335,0.00012393203,0.00021535881,0.0004010247,0.000071961964,0.000038491875,0.00011136512,0.00023870387,0.000043926942],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004422923,0.00031307098,0.81799644,0.00015314421,0.000057816964,0.00028680102,0.0014526187,0.0000034946531,0.000014033666,0.0003243018,0.00023719954,0.17871876],"study_design_scores_gemma":[0.0009537978,0.0009159728,0.9849917,0.00037928924,0.0002401007,0.00000369294,0.0009108052,0.006488559,0.0017516151,0.0007621997,0.002383449,0.0002187935],"about_ca_topic_score_codex":0.00007719682,"about_ca_topic_score_gemma":0.000032830012,"teacher_disagreement_score":0.17849997,"about_ca_system_score_codex":0.0000860991,"about_ca_system_score_gemma":0.00008678004,"threshold_uncertainty_score":0.56367},"labels":[],"label_agreement":null},{"id":"W3205281125","doi":"10.2196/25776","title":"Measuring the Time to Deterioration for Health-Related Quality of Life in Patients With Metastatic Breast Cancer Using a Web-Based Monitoring Application: Longitudinal Cohort Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Quality of life (healthcare); Breast cancer; Metastatic breast cancer; Visual analogue scale; Cohort; Proportional hazards model; Internal medicine; Cancer; Cohort study; Prospective cohort study; Oncology; Physical therapy","score_opus":0.05957597940895766,"score_gpt":0.36246717497343706,"score_spread":0.3028911955644794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205281125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99509287,0.00037816123,0.00028190252,0.0010579979,0.000118095435,0.002934391,0.000111421745,0.000018821325,0.0000063534358],"genre_scores_gemma":[0.99711704,0.0000037137675,0.0001144897,0.00022496821,0.00008248643,0.0023901644,0.000017704784,0.00002514717,0.00002429455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840844,0.00013343527,0.0004876553,0.00032252137,0.00044982583,0.0001981311],"domain_scores_gemma":[0.9987621,0.000050913495,0.0002493142,0.00030186152,0.00053159625,0.000104219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045754638,0.00013528028,0.0004578475,0.000067902845,0.000083123225,0.000017403781,0.000063076,0.000027609174,0.000073860356],"category_scores_gemma":[0.000023901039,0.00010259344,0.00005511168,0.0005856402,0.000022526116,0.0000620216,0.000020156327,0.00010445281,0.000001228905],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012668115,0.00027706393,0.99249214,0.00023612833,0.0001328014,7.229296e-7,0.00075249124,0.001193242,0.00058960845,6.154191e-7,0.000015943262,0.0030424031],"study_design_scores_gemma":[0.003288294,0.00015906134,0.9948113,0.0003712529,0.000087238855,4.6800704e-7,0.00032537253,0.0006441265,0.00016464393,0.0000013540516,0.00003609038,0.00011078247],"about_ca_topic_score_codex":0.0090105105,"about_ca_topic_score_gemma":0.01551979,"teacher_disagreement_score":0.00650928,"about_ca_system_score_codex":0.00065255695,"about_ca_system_score_gemma":0.0010394809,"threshold_uncertainty_score":0.9975886},"labels":[],"label_agreement":null},{"id":"W3208032197","doi":"10.2196/25659","title":"Exploring Cancer Survivor Needs and Preferences for Communicating Personalized Cancer Statistics From Registry Data: Qualitative Multimethod Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Thematic analysis; Focus group; Cancer registry; Qualitative research; Population; Cancer; Think aloud protocol; Medicine; Breast cancer; Psychology; Computer science; Internal medicine; Usability","score_opus":0.4558050007935009,"score_gpt":0.5019215247105061,"score_spread":0.046116523917005214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208032197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9497552,0.030353472,0.0019043409,0.0015597002,0.0011200445,0.0015408242,0.013469721,0.00008845172,0.00020828228],"genre_scores_gemma":[0.95834386,0.012600899,0.013136411,0.00077501143,0.001042809,0.009663921,0.001234211,0.000114270246,0.0030886272],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.997481,0.00049936364,0.00046291077,0.000719962,0.0004471479,0.00038965538],"domain_scores_gemma":[0.99639976,0.0014544448,0.0002719237,0.0010928119,0.000578627,0.0002024165],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00056129904,0.0003206892,0.0007559916,0.00007493051,0.00024452398,0.00009706275,0.00035027709,0.00009424501,0.00056293455],"category_scores_gemma":[0.00028170802,0.0002971165,0.00007083358,0.00038912435,0.00017760346,0.00031044864,0.00035445343,0.00040176927,0.0000013729777],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020413294,0.0006569477,0.19149275,0.0014195044,0.0023480328,0.00003787992,0.57646894,0.000024657998,0.0027182153,0.0002905681,0.0061663543,0.21633478],"study_design_scores_gemma":[0.009864072,0.00038446512,0.077613235,0.0020484885,0.0016466497,0.0000044038625,0.77271944,0.0019182436,0.0017598347,0.00030723627,0.13061108,0.0011228393],"about_ca_topic_score_codex":0.12792619,"about_ca_topic_score_gemma":0.20982113,"teacher_disagreement_score":0.21521194,"about_ca_system_score_codex":0.00026390582,"about_ca_system_score_gemma":0.0008112775,"threshold_uncertainty_score":0.9999481},"labels":[],"label_agreement":null},{"id":"W3209174969","doi":"10.2196/31966","title":"A Digital Coaching Intervention for Cancer Survivors With Job Loss: Retrospective Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Coaching; Intervention (counseling); Job loss; Retrospective cohort study; Physical therapy; Psychology; Medicine; Nursing; Unemployment; Psychotherapist; Surgery; Economics","score_opus":0.01778550501842533,"score_gpt":0.3295951895560141,"score_spread":0.3118096845375887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209174969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919589,0.0015296582,0.0006556182,0.0007154165,0.0007969605,0.0013218588,0.00028394395,0.000089036716,0.0026485915],"genre_scores_gemma":[0.98755854,0.00005917075,0.000020625543,0.00025522843,0.00054330955,0.0021426135,0.000049146023,0.00005435359,0.009317034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986033,0.000035371042,0.00022814728,0.00048597183,0.00035974864,0.00028747568],"domain_scores_gemma":[0.9989857,0.000030705356,0.00010280341,0.00029531226,0.00046869263,0.000116752686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011600121,0.00020201156,0.00038902016,0.00006547553,0.000097084565,0.00009847416,0.00007338616,0.000064914515,0.0003992563],"category_scores_gemma":[0.00003231028,0.00016664469,0.00018704323,0.00035992506,0.00004971802,0.00020679254,0.000048088674,0.00021945561,0.000003959632],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009768707,0.0004367797,0.965365,0.0002392551,0.0004268506,0.00008610962,0.004322558,0.000012671363,0.00010009516,0.000061291714,0.00058885163,0.02738365],"study_design_scores_gemma":[0.007994715,0.0019538978,0.90714556,0.0012068185,0.0004892014,0.000046615394,0.021921568,0.000089049136,0.0009831988,0.000094527095,0.05749635,0.0005785066],"about_ca_topic_score_codex":0.0056467215,"about_ca_topic_score_gemma":0.21995856,"teacher_disagreement_score":0.21431184,"about_ca_system_score_codex":0.000573845,"about_ca_system_score_gemma":0.00027860684,"threshold_uncertainty_score":0.85361916},"labels":[],"label_agreement":null},{"id":"W3209890305","doi":"10.2196/32609","title":"Oncology Patients’ Experiences With Novel Electronic Patient Portals to Support Care and Treatment: Qualitative Study With Early Users and Nonusers of Portals in Alberta, Canada","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Alberta Health Services; University of Victoria; University of Calgary; University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; University of Alberta; Faculty of Nursing, University of Alberta; Edmonton Community Foundation; Women and Children's Health Research Institute; Children's Health Research Institute; Alberta Health Services","keywords":"Patient portal; Context (archaeology); Qualitative research; eHealth; Health care; Medicine; Phone; The Internet; Family medicine; Nursing; Internet privacy; Medical education; World Wide Web; Political science","score_opus":0.030069885794937506,"score_gpt":0.42384196182928224,"score_spread":0.3937720760343447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209890305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947813,0.00034226544,9.918331e-7,0.00030333234,0.00012970438,0.0037643888,0.00010460481,0.000008304491,0.0005650865],"genre_scores_gemma":[0.9932789,0.00004036708,0.00003022221,0.00043496286,0.000022738323,0.005712023,0.000027257085,0.00003472479,0.000418755],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99698234,0.00050384994,0.00072387996,0.0005620848,0.00037465137,0.0008531992],"domain_scores_gemma":[0.99827033,0.00039108627,0.00043933545,0.00024707033,0.00036714968,0.0002850305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018714975,0.00026290538,0.00069929083,0.000101033955,0.00017808285,0.000006092092,0.00007329698,0.000103792896,0.000097453645],"category_scores_gemma":[0.000030005893,0.00019169356,0.000016499467,0.00040063693,0.0000652283,0.00010748834,0.000038625825,0.00027023416,6.3855873e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003388563,0.00018221699,0.5047492,0.00010454168,0.00007438855,0.000020806778,0.49318635,0.0000035164887,0.00000870337,0.00001708478,0.00013754971,0.0011768036],"study_design_scores_gemma":[0.0037874402,0.0165315,0.14051034,0.0002553661,0.000033100157,0.0000031756815,0.83072406,0.0000010948875,0.00009635973,6.3558815e-7,0.007819613,0.0002372994],"about_ca_topic_score_codex":0.8805633,"about_ca_topic_score_gemma":0.99761945,"teacher_disagreement_score":0.36423886,"about_ca_system_score_codex":0.0026954785,"about_ca_system_score_gemma":0.014648997,"threshold_uncertainty_score":0.99093705},"labels":[],"label_agreement":null},{"id":"W3210097349","doi":"10.2196/32005","title":"Medical Needs Extraction for Breast Cancer Patients from Question and Answer Services: Natural Language Processing-Based Approach","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Health, Labour and Welfare","keywords":"Relevance (law); Information needs; Computer science; Thematic analysis; Service (business); Breast cancer; Information retrieval; Natural language processing; Artificial intelligence; Medicine; Cancer; Psychology; World Wide Web; Qualitative research; Sociology","score_opus":0.018004516931245832,"score_gpt":0.4401115837458187,"score_spread":0.4221070668145729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210097349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867643,0.0028053285,0.0022046051,0.0028781572,0.001561389,0.0015090719,0.0013916611,0.0001427046,0.00074279326],"genre_scores_gemma":[0.98158634,0.000059244816,0.00072515407,0.0134004075,0.00078575313,0.0019512905,0.0010317059,0.000019466304,0.0004406452],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981983,0.00017195522,0.00066805823,0.00026671877,0.00036416456,0.00033082417],"domain_scores_gemma":[0.9984569,0.00014242496,0.00036113206,0.00016468293,0.0006690392,0.00020581727],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004214171,0.00014545137,0.00021484675,0.00006671722,0.00046175683,0.00003904488,0.00009686926,0.00028330175,0.0014616711],"category_scores_gemma":[0.0000609293,0.000116342824,0.00003794614,0.0002590048,0.00003345007,0.00091603195,0.000036375823,0.00051011745,0.000007695334],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005637522,0.00030440686,0.51268923,0.0061814957,0.000021544327,7.5486247e-7,0.016012095,0.000016341075,0.00005069689,0.0000384747,0.0029655201,0.46115568],"study_design_scores_gemma":[0.003224843,0.000020536747,0.83180064,0.0015793092,0.000029084007,8.3263745e-7,0.004131932,0.11914835,0.000053037496,0.000027601227,0.039725084,0.00025872703],"about_ca_topic_score_codex":0.0022765454,"about_ca_topic_score_gemma":0.0014665809,"teacher_disagreement_score":0.46089694,"about_ca_system_score_codex":0.00028520374,"about_ca_system_score_gemma":0.001119087,"threshold_uncertainty_score":0.9994511},"labels":[],"label_agreement":null},{"id":"W3210196061","doi":"10.2196/25783","title":"Assessing the Quality of Online Health Information About Breast Cancer from Chinese Language Websites: Quality Assessment Survey","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Breast cancer; Checklist; Medicine; Quality (philosophy); Cancer; Psychology; Internal medicine","score_opus":0.1320079592609243,"score_gpt":0.6100697559852621,"score_spread":0.47806179672433785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210196061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9695654,0.0009778611,0.0012128067,0.0076514524,0.0011052865,0.0010287223,0.017265197,0.000083104766,0.0011101501],"genre_scores_gemma":[0.97006303,0.00047212813,0.0007769609,0.023695277,0.00047446616,0.00040163513,0.0038738705,0.000016154572,0.0002264765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98997563,0.004912777,0.0035468196,0.00027779065,0.0007428791,0.000544076],"domain_scores_gemma":[0.99296546,0.0017197952,0.0028510187,0.0008365107,0.0014063995,0.00022079187],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007325602,0.00023890611,0.0007036166,0.00007044028,0.0008374948,0.000098967466,0.00031704153,0.00019915009,0.0055255615],"category_scores_gemma":[0.00067508884,0.00015746155,0.00012237321,0.0007504778,0.0000830543,0.0028922146,0.0001930395,0.0010045804,0.0000414723],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007248848,0.0001427861,0.93562424,0.0014847101,0.00003635156,1.2992584e-7,0.01677662,0.000035546287,0.000062329986,0.00009738657,0.003235597,0.042431824],"study_design_scores_gemma":[0.0009558832,0.000007683068,0.9790216,0.00051417423,0.0000053915624,2.1890881e-7,0.010352873,0.0010037171,0.000007205169,0.00005235722,0.007913369,0.00016550352],"about_ca_topic_score_codex":0.13987468,"about_ca_topic_score_gemma":0.05754186,"teacher_disagreement_score":0.08233282,"about_ca_system_score_codex":0.0009477642,"about_ca_system_score_gemma":0.006327443,"threshold_uncertainty_score":0.9993058},"labels":[],"label_agreement":null},{"id":"W3211038758","doi":"10.2196/19812","title":"Predicting Hepatocellular Carcinoma With Minimal Features From Electronic Health Records: Development of a Deep Learning Model","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Hepatocellular carcinoma; Receiver operating characteristic; Internal medicine; Medical record; Odds ratio; Cancer; Oncology; Artificial intelligence","score_opus":0.03369052656293291,"score_gpt":0.2697382859434895,"score_spread":0.23604775938055655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211038758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98032737,0.017266344,0.00086830877,0.00044449943,0.000039058286,0.0005762254,0.000014305653,0.000068253656,0.0003956484],"genre_scores_gemma":[0.988258,0.0002490366,0.0096502425,0.00018492917,0.00012945037,0.0003909822,0.00022597612,0.000055154233,0.00085621176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981408,0.000077701094,0.0003868108,0.00047522527,0.000387973,0.00053145405],"domain_scores_gemma":[0.99913543,0.0000394613,0.00021017829,0.00024399292,0.0001736773,0.00019726307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013426974,0.00025275938,0.0005267617,0.00008105611,0.0001561751,0.000017182487,0.00007093473,0.000109740125,0.00020946302],"category_scores_gemma":[0.000015095842,0.00021251752,0.00011783626,0.00027528586,0.000035332105,0.000064015934,0.00004700462,0.00038792487,0.0000043675614],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039898287,0.00015577982,0.9600808,0.0002016858,0.00030551333,0.00010660857,0.0047459584,0.000052970285,0.0030471585,0.000011200949,0.00007130005,0.030822013],"study_design_scores_gemma":[0.0076947473,0.0018300758,0.59525186,0.0014334467,0.00060806074,0.00011364972,0.0025458683,0.21562989,0.16728733,0.000062152656,0.0066816,0.00086129253],"about_ca_topic_score_codex":0.00066381396,"about_ca_topic_score_gemma":0.0013715106,"teacher_disagreement_score":0.36482894,"about_ca_system_score_codex":0.0004944608,"about_ca_system_score_gemma":0.002361383,"threshold_uncertainty_score":0.86662126},"labels":[],"label_agreement":null},{"id":"W3211569179","doi":"10.2196/31263","title":"Understanding the Information Needs of Patients With Ovarian Cancer Regarding Genetic Testing to Inform Intervention Design: Interview Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Dell Medical School, University of Texas at Austin; University of Texas at Austin","keywords":"Genetic testing; Genetic counseling; Psychological intervention; Medicine; Information needs; Terminology; Family medicine; Computer science; Nursing; World Wide Web; Genetics","score_opus":0.07691406265421247,"score_gpt":0.319322309352436,"score_spread":0.24240824669822353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211569179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8501861,0.00042562484,0.14715324,0.00035024944,0.0003138828,0.0011799695,0.000037541475,0.000013314697,0.0003400449],"genre_scores_gemma":[0.9973918,0.000019695048,0.0013800996,0.0003483424,0.00007959903,0.00064478745,0.000028041075,0.000017033988,0.00009056727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999088,0.00008367286,0.00032863437,0.00012175315,0.00021224853,0.00016569094],"domain_scores_gemma":[0.9989778,0.000019686022,0.00020686114,0.00029385893,0.00046151795,0.000040275558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020750485,0.00013069728,0.00012999645,0.000083745574,0.00012490433,0.000058757953,0.00016566856,0.000051897314,0.000064637934],"category_scores_gemma":[0.00007316083,0.00009906215,0.00004849107,0.00066206494,0.00003321597,0.000028216344,0.0001428835,0.000078026154,0.0000019469314],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008248595,0.00049781264,0.6340846,0.00059518777,0.0013341411,0.0000023169432,0.027114324,0.09399486,0.009136594,0.00012284664,0.0060094516,0.22628301],"study_design_scores_gemma":[0.008385679,0.0029198295,0.8619669,0.0015945705,0.00048407112,0.000010780181,0.046807427,0.0010988597,0.0452832,0.00016290443,0.030109197,0.0011765963],"about_ca_topic_score_codex":0.000085562635,"about_ca_topic_score_gemma":0.00033117627,"teacher_disagreement_score":0.2278823,"about_ca_system_score_codex":0.0003305545,"about_ca_system_score_gemma":0.0002958785,"threshold_uncertainty_score":0.40396374},"labels":[],"label_agreement":null},{"id":"W3212401238","doi":"10.2196/22140","title":"Technology-Based Interventions for Cancer Caregivers: Concept Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychological intervention; CINAHL; PsycINFO; Context (archaeology); CLARITY; Health technology; Medicine; Health care; Psychology; Nursing; MEDLINE; Political science","score_opus":0.03492137537144819,"score_gpt":0.3797406021032682,"score_spread":0.34481922673182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212401238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6878498,0.17222278,0.03508121,0.08337867,0.0056236074,0.004088813,0.005397887,0.0011321477,0.005225073],"genre_scores_gemma":[0.9866215,0.00025250568,0.00039366758,0.0012420594,0.00030240192,0.0028000907,0.00022095605,0.000027986145,0.008138835],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99900264,0.000015406824,0.00020068427,0.000365724,0.00016709292,0.00024847288],"domain_scores_gemma":[0.9989032,0.000030298872,0.000083293446,0.00037388093,0.00051419955,0.00009513318],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000040361625,0.00013716146,0.0004085437,0.00030913792,0.00007822545,0.00001953821,0.00008795361,0.0001388952,0.0034488228],"category_scores_gemma":[0.000027452894,0.00013308885,0.0007956185,0.0015592113,0.00009383913,0.00004022027,0.000029098397,0.00014547523,0.000004828352],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011398526,0.0011200432,0.3777113,0.004411959,0.014623198,0.00028634298,0.006831449,0.0029864293,0.008441773,0.0028322027,0.11464543,0.46497002],"study_design_scores_gemma":[0.0046700826,0.00026813534,0.016186941,0.0016162193,0.006801166,0.0000054841357,0.0066077346,0.00098857,0.03772537,0.00015201884,0.9244264,0.0005519159],"about_ca_topic_score_codex":0.0011306728,"about_ca_topic_score_gemma":0.03445891,"teacher_disagreement_score":0.80978096,"about_ca_system_score_codex":0.0003405581,"about_ca_system_score_gemma":0.00053105556,"threshold_uncertainty_score":0.99746215},"labels":[],"label_agreement":null},{"id":"W3214514693","doi":"10.2196/28393","title":"Cross-Cultural Modification Strategies for Instruments Measuring Health Beliefs About Cancer Screening: Systematic Review","year":2021,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Cultural Competency in Health Care","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"PsycINFO; CINAHL; Equivalence (formal languages); Checklist; Inclusion (mineral); Systematic review; Psychology; Applied psychology; MEDLINE; Narrative; Semantic equivalence; Process (computing); Computer science; Medical education; Medicine; Social psychology; Information retrieval; Nursing; Psychological intervention; Cognitive psychology; Mathematics","score_opus":0.29971456390655565,"score_gpt":0.5472254544266273,"score_spread":0.24751089052007164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214514693","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000004203832,0.9828541,0.000014883735,0.0013354489,0.0014713863,0.013171757,0.00050802616,0.0001529687,0.00048721678],"genre_scores_gemma":[0.000031350555,0.9648582,0.00014392508,0.0007449804,0.0011976858,0.030881101,0.00031450242,0.00006715833,0.0017611457],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99412113,0.0010242906,0.001924039,0.00086719857,0.0011114422,0.00095189875],"domain_scores_gemma":[0.9952855,0.00020335453,0.0021096403,0.00057619496,0.0014798024,0.0003454741],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0014894806,0.0006092927,0.0034747152,0.00009077969,0.0014364822,0.00073249696,0.00087445305,0.0003697969,0.00024527113],"category_scores_gemma":[0.00044819334,0.00046550785,0.00090575375,0.0008792799,0.0002846012,0.00078337366,0.00008400672,0.00053298427,0.000015018371],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001266629,0.000011295677,0.000005798526,0.808116,0.00013869366,5.40429e-7,0.0018866268,0.0000041207627,3.1083605e-8,0.0020992272,0.0019277316,0.18580863],"study_design_scores_gemma":[0.00007505574,0.000012128538,0.0000050416625,0.49537736,0.00031445094,0.0000016664351,0.0010253317,0.0000017916153,4.471524e-8,0.000012088895,0.5028702,0.0003048447],"about_ca_topic_score_codex":0.012914396,"about_ca_topic_score_gemma":0.009483768,"teacher_disagreement_score":0.50094247,"about_ca_system_score_codex":0.0034213457,"about_ca_system_score_gemma":0.006867623,"threshold_uncertainty_score":0.9998635},"labels":[],"label_agreement":null},{"id":"W3214598469","doi":"10.2196/33130","title":"Telerehabilitation’s Safety, Feasibility, and Exercise Uptake in Cancer Survivors: Process Evaluation","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Telerehabilitation; Medicine; Telehealth; Coaching; Physical therapy; Attendance; Health coaching; Telemedicine; Health care; Intervention (counseling); Nursing; Psychology","score_opus":0.05101789213403081,"score_gpt":0.3911842220731899,"score_spread":0.34016632993915913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214598469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97184664,0.021556556,0.0000053826816,0.003063117,0.0005616873,0.0013924342,0.00007965121,0.000044649507,0.0014498569],"genre_scores_gemma":[0.9939901,0.0026184176,0.000034540506,0.00041912918,0.0002091646,0.00209623,0.000037192076,0.000030813193,0.0005644048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808276,0.000100449084,0.000372136,0.0005693737,0.00059679255,0.00027850995],"domain_scores_gemma":[0.9986181,0.000064755644,0.000077474564,0.0003419576,0.0007546964,0.0001429687],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00049413886,0.00018791255,0.00037841982,0.00010616145,0.000059701237,0.00003293923,0.000062719526,0.00012933045,0.0021541708],"category_scores_gemma":[0.00011908351,0.00018131833,0.00007513433,0.00066703977,0.000075816904,0.00017360065,0.000041877618,0.00021730053,0.000005673455],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048810142,0.00023407621,0.6843979,0.0009538086,0.000030246883,0.000013245895,0.008147785,0.00012320037,0.00044418793,0.000034053846,0.00032731646,0.3048061],"study_design_scores_gemma":[0.0023210573,0.00006912459,0.9829509,0.000917105,0.00012061874,0.0000073170704,0.0038597554,0.00040635339,0.0008739877,0.0006723899,0.0075621586,0.0002391857],"about_ca_topic_score_codex":0.009479659,"about_ca_topic_score_gemma":0.30433446,"teacher_disagreement_score":0.30456692,"about_ca_system_score_codex":0.0008318576,"about_ca_system_score_gemma":0.0012485146,"threshold_uncertainty_score":0.998758},"labels":[],"label_agreement":null},{"id":"W3215216707","doi":"10.2196/29485","title":"A Web- and Mobile-Based Intervention for Women Treated for Breast Cancer to Manage Chronic Pain and Symptoms Related to Lymphedema: Results of a Randomized Clinical Trial","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Lymphatic System and Diseases","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences","keywords":"Medicine; Randomized controlled trial; Lymphedema; Physical therapy; Breast cancer; Quality of life (healthcare); Clinical trial; Clinical endpoint; Repeated measures design; Surgery; Cancer; Internal medicine; Nursing","score_opus":0.01835167150653395,"score_gpt":0.373840778176216,"score_spread":0.3554891066696821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215216707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849735,0.0024663862,0.0003407238,0.001181636,0.00028033895,0.009747705,0.0009219072,0.000040331965,0.000047506885],"genre_scores_gemma":[0.97274494,0.000086553395,0.00008739897,0.00047932446,0.0002801906,0.02364444,0.00006535749,0.000029819126,0.0025819512],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99775267,0.00038448544,0.0009834222,0.00046112388,0.00015922738,0.0002591013],"domain_scores_gemma":[0.9978114,0.0011466416,0.00024660816,0.00022957684,0.0002606293,0.00030518958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019633844,0.00017457132,0.0010872748,0.00011070805,0.000040681152,0.000023520719,0.00004441477,0.00012323388,0.000102778904],"category_scores_gemma":[0.0008862193,0.00013398299,0.0003339414,0.00022770997,0.00006880297,0.0000368225,0.000029397996,0.000012287357,8.503248e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.8854221,0.0004970123,0.0023028215,0.0019733645,0.000746386,0.0000070391234,0.00062561483,0.00002868275,0.0005021889,0.000014164563,0.0018090138,0.10607163],"study_design_scores_gemma":[0.9799492,0.003091287,0.004934957,0.0023890247,0.0006379783,0.0000057905127,0.00025609558,0.0046238834,0.00021219352,0.000034402427,0.0036806688,0.0001845351],"about_ca_topic_score_codex":0.00019577728,"about_ca_topic_score_gemma":0.00017054875,"teacher_disagreement_score":0.10588709,"about_ca_system_score_codex":0.00039634458,"about_ca_system_score_gemma":0.0004999303,"threshold_uncertainty_score":0.54636675},"labels":[],"label_agreement":null},{"id":"W3216596482","doi":"10.2196/18622","title":"The Components of Information Literacy Treatment in Iranian Cancer Women: A survey Study at Omid Hospital (Preprint)","year":2020,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Literacy; Medicine; Cancer; Family medicine; Gerontology; Environmental health; Psychology; World Wide Web; Computer science; Internal medicine","score_opus":0.06635769014081587,"score_gpt":0.45595823612190356,"score_spread":0.3896005459810877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216596482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99255615,0.000100147176,0.00000984024,0.0017920557,0.0005021622,0.0042111026,0.00032949264,0.00003725392,0.00046181038],"genre_scores_gemma":[0.9918194,0.00014451976,0.000013345568,0.0025830744,0.000084207815,0.005080152,0.000061848405,0.000008607722,0.00020484261],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966268,0.00077335234,0.0016780444,0.00018555282,0.00029059278,0.0004456633],"domain_scores_gemma":[0.9980123,0.00037639684,0.00076323905,0.00033874068,0.0003098858,0.00019941806],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012516038,0.00016222223,0.00033371,0.00007798984,0.00046842115,0.000029582867,0.00024254432,0.00008557028,0.0009796098],"category_scores_gemma":[0.00018063781,0.00010594576,0.00004287702,0.00049069786,0.000038801183,0.0011993415,0.00016138595,0.00031102326,0.00016271547],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006652979,0.0001561322,0.76601434,0.00022883361,0.00001928231,2.1933653e-7,0.21118249,0.000049469578,0.0000031755505,0.000007712738,0.00071639597,0.02095666],"study_design_scores_gemma":[0.0022585965,0.00023327976,0.8938387,0.0000884375,0.0000024212795,2.4809335e-8,0.005017588,0.0016047582,0.0000078204575,0.000006991027,0.09684494,0.00009646618],"about_ca_topic_score_codex":0.009940107,"about_ca_topic_score_gemma":0.003654784,"teacher_disagreement_score":0.2061649,"about_ca_system_score_codex":0.0018030703,"about_ca_system_score_gemma":0.0004685657,"threshold_uncertainty_score":0.9999336},"labels":[],"label_agreement":null},{"id":"W35363143","doi":"10.2196/36364","title":"Cost effective techniques for building construction in Sri Lanka","year":2006,"lang":"en","type":"dissertation","venue":"JMIR Cancer","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute for Health and Care Research","keywords":"Sri lanka; Construction engineering; Architectural engineering; Computer science; Engineering; Geography; Environmental planning","score_opus":0.05565477077177629,"score_gpt":0.4540395801813727,"score_spread":0.3983848094095964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W35363143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8736672,0.00084493397,0.0035065194,0.00029234815,0.009388718,0.017386647,0.00032248723,0.00038077426,0.09421038],"genre_scores_gemma":[0.8443555,0.00068937277,0.01980235,0.0004186798,0.0037218486,0.07264089,0.0012832591,0.00016245885,0.056925625],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978216,0.000063507345,0.00062869914,0.0006161883,0.00059326907,0.00027671462],"domain_scores_gemma":[0.99846256,0.0003301809,0.0005365718,0.00028978058,0.00034873543,0.00003216054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077831565,0.00025635288,0.0004182929,0.0010192574,0.00014695941,0.00022286394,0.0003548107,0.0002727704,0.00034296126],"category_scores_gemma":[0.00013089547,0.00022524406,0.00016003859,0.0009407979,0.000058659505,0.00036554775,0.000028802415,0.0002739628,0.000019808323],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022522204,0.000016461294,0.012760793,0.00010223258,0.000017590299,0.0000011297783,0.0006029398,0.000030090863,0.00030053317,0.0010971051,0.010591553,0.97425437],"study_design_scores_gemma":[0.0010268969,0.00009467871,0.039236262,0.00056239456,0.00005061371,0.000004345274,0.0029096806,0.0008402774,0.013552822,0.011371184,0.92963266,0.0007181978],"about_ca_topic_score_codex":0.00040481772,"about_ca_topic_score_gemma":0.0051120403,"teacher_disagreement_score":0.97353613,"about_ca_system_score_codex":0.00026550464,"about_ca_system_score_gemma":0.00013477192,"threshold_uncertainty_score":0.9185186},"labels":[],"label_agreement":null},{"id":"W4200306168","doi":"10.2196/31255","title":"The Use of Telemedicine in Cancer Clinical Trials: Connect-Patient-to-Doctor Prospective Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Telemedicine; Clinical trial; Context (archaeology); Common Terminology Criteria for Adverse Events; Adverse effect; Patient satisfaction; Health care; Physical therapy; Emergency medicine; Internal medicine; Surgery","score_opus":0.33637515670970597,"score_gpt":0.5637893062623712,"score_spread":0.22741414955266526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200306168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829737,0.0010579943,0.00002023208,0.009832855,0.0010346114,0.00491644,0.000065167274,0.000024773906,0.000074255535],"genre_scores_gemma":[0.9907078,0.00080119335,0.00015350762,0.004251684,0.0009066738,0.0025056754,0.000016839851,0.000027322834,0.00062926137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962347,0.0006703244,0.0017809176,0.00041400312,0.00053939683,0.0003606464],"domain_scores_gemma":[0.9967626,0.0016326123,0.00044328315,0.00039921416,0.000536581,0.00022572327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017163819,0.00017133236,0.0009269433,0.00012259402,0.00007653594,0.0000141008795,0.00007810241,0.00006742179,0.00077881437],"category_scores_gemma":[0.0033918077,0.00010724092,0.00011421542,0.0007664714,0.00008448828,0.00007639842,0.000060837563,0.00035603505,0.00000623017],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012878497,0.0006731011,0.7896859,0.000059789396,0.0001816024,0.00005461557,0.00265064,0.0000065455006,0.00028800074,0.00003880266,0.027366718,0.17770645],"study_design_scores_gemma":[0.0084545715,0.0024856182,0.8075134,0.00023706675,0.00017141813,0.0000047212798,0.004282548,0.00003908297,0.0009110687,0.000013353892,0.17578311,0.00010398872],"about_ca_topic_score_codex":0.002663255,"about_ca_topic_score_gemma":0.014126584,"teacher_disagreement_score":0.17760246,"about_ca_system_score_codex":0.00026813388,"about_ca_system_score_gemma":0.00097220636,"threshold_uncertainty_score":0.8527471},"labels":[],"label_agreement":null},{"id":"W4200552288","doi":"10.2196/35222","title":"Correction: Examining the Interaction Between Medical Information Seeking Online and Understanding: Exploratory Study","year":2021,"lang":"en","type":"erratum","venue":"JMIR Cancer","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Exploratory research; Psychology; Information seeking; Data science; Computer science; Information retrieval; Sociology; Social science","score_opus":0.10570966424192109,"score_gpt":0.3758411555665763,"score_spread":0.27013149132465525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200552288","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057013877,0.002771711,0.0032909233,0.047248475,0.38952962,0.005312969,0.00025191385,0.0009377156,0.4936428],"genre_scores_gemma":[0.7851103,0.006143606,0.00003849057,0.017359633,0.034971822,0.00079211214,0.0020992365,0.00006607984,0.15341873],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997651,0.00027927864,0.00046991475,0.00018812629,0.0011664702,0.00024525393],"domain_scores_gemma":[0.9989125,0.00025634223,0.0003942904,0.00015460994,0.00013320819,0.0001490314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009160444,0.00016314846,0.00022531566,0.00017720705,0.0010212299,0.00080370036,0.00030032985,0.00027755034,0.00088867126],"category_scores_gemma":[0.00028912348,0.00012489478,0.00004194379,0.0006363646,0.00021366599,0.011805123,0.00014026968,0.00094938313,0.0000141341025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051232114,0.000022179707,0.0064055384,0.000027682334,0.000036652425,0.0000017984258,0.1186256,0.0000037447155,4.811134e-8,0.000166208,0.84683275,0.027872667],"study_design_scores_gemma":[0.00012511197,0.00003917631,0.003931727,0.00027606465,0.000015709144,9.989069e-7,0.28600657,0.00045735476,1.4766952e-7,0.00002810044,0.70899224,0.00012676639],"about_ca_topic_score_codex":0.0004976918,"about_ca_topic_score_gemma":0.0012829338,"teacher_disagreement_score":0.7280964,"about_ca_system_score_codex":0.00045010136,"about_ca_system_score_gemma":0.0015580117,"threshold_uncertainty_score":0.9730327},"labels":[],"label_agreement":null},{"id":"W4205104784","doi":"10.2196/29289","title":"Automated Clinical Practice Guideline Recommendations for Hereditary Cancer Risk Using Chatbots and Ontologies: System Description","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; U.S. Department of Veterans Affairs","keywords":"Guideline; Family history; Medicine; Genetic counseling; Concordance; Family medicine; Pathology; Internal medicine","score_opus":0.06132117188734932,"score_gpt":0.4230432168503124,"score_spread":0.36172204496296306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205104784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96060395,0.026108464,0.0051835994,0.0033207913,0.002332663,0.00066204055,0.0015531329,0.00009805197,0.00013732922],"genre_scores_gemma":[0.93883604,0.012912766,0.04152124,0.002560581,0.0021866788,0.000623039,0.0010003962,0.000053913893,0.00030533376],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990032,0.00010047169,0.00034010783,0.0003402417,0.00005591401,0.00016007647],"domain_scores_gemma":[0.9990903,0.000038558534,0.00020046809,0.0001911379,0.00040389877,0.000075639124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020544967,0.00010909703,0.00015120496,0.000016290727,0.00014174228,0.00003613686,0.00005872917,0.00013944501,0.000019869138],"category_scores_gemma":[0.00022993246,0.00010357402,0.0000813603,0.000052122195,0.000033870645,0.000010679886,0.000067742934,0.00006160233,6.647112e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001246187,0.00066911185,0.02619404,0.00063049234,0.0017368145,0.00008647692,0.00031913977,0.0033162443,0.08723623,0.00016985978,0.7806623,0.09773312],"study_design_scores_gemma":[0.0016907974,0.00016984808,0.0077105896,0.00016778991,0.0004161497,0.00011236035,0.0025159619,0.030869704,0.00279035,0.00002689344,0.9531286,0.00040096042],"about_ca_topic_score_codex":0.00050320954,"about_ca_topic_score_gemma":0.0005048837,"teacher_disagreement_score":0.17246631,"about_ca_system_score_codex":0.00006308074,"about_ca_system_score_gemma":0.000352481,"threshold_uncertainty_score":0.4223626},"labels":[],"label_agreement":null},{"id":"W4205161131","doi":"10.2196/32291","title":"Cruciferous Vegetable Intervention to Reduce the Risk of Cancer Recurrence in Non–Muscle-Invasive Bladder Cancer Survivors: Development Using a Systematic Process","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Intervention (counseling); Bladder cancer; Medicine; Cancer; Internal medicine; Psychiatry","score_opus":0.018946624271901018,"score_gpt":0.3237679238241315,"score_spread":0.3048212995522305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205161131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98990947,0.007888712,0.00021612574,0.000067800655,0.00038905168,0.001327334,0.00015610093,0.0000049613795,0.000040444484],"genre_scores_gemma":[0.99372834,0.000442546,0.000113763985,0.00011373239,0.00013092425,0.005231211,0.000018595998,0.000026758578,0.00019411392],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983278,0.000187104,0.00048800628,0.00045799324,0.00022986527,0.0003092344],"domain_scores_gemma":[0.9989826,0.000025042253,0.0004117166,0.00031633812,0.0002038714,0.00006040658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003395656,0.00020352384,0.00031732916,0.00007059515,0.00015689625,0.00001879291,0.00040715892,0.00006266369,0.00007299422],"category_scores_gemma":[0.00007025449,0.00017100296,0.000095517236,0.0003105902,0.000058574664,0.000008430434,0.00025892857,0.00018956991,0.0000010653838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048051926,0.0004496332,0.0807016,0.009008296,0.0006823223,0.0000037746793,0.01342671,0.06373355,0.8258183,0.000004390223,0.00063246646,0.0050584525],"study_design_scores_gemma":[0.0010594524,0.00016797936,0.037968572,0.0039313613,0.00014223966,0.0000037610396,0.0045090094,0.00047730503,0.9503861,0.000051891508,0.000700059,0.00060228514],"about_ca_topic_score_codex":0.0075147776,"about_ca_topic_score_gemma":0.021957207,"teacher_disagreement_score":0.12456779,"about_ca_system_score_codex":0.00028668277,"about_ca_system_score_gemma":0.00046511658,"threshold_uncertainty_score":0.99909425},"labels":[],"label_agreement":null},{"id":"W4205179018","doi":"10.2196/33550","title":"Development and Evaluation of the Usefulness, Usability, and Feasibility of iNNOV Breast Cancer: Mixed Methods Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Erasmus+; European Commission; Karolinska Institutet; Linköpings Universitet; Centre International de Recherche sur le Cancer; World Health Organization","keywords":"Usability; Psychosocial; Psychological intervention; Breast cancer; Anxiety; Mental health; Psychology; Applied psychology; Descriptive statistics; Quality of life (healthcare); Medicine; Clinical psychology; Nursing; Computer science; Psychotherapist; Cancer; Psychiatry; Human–computer interaction","score_opus":0.11092465866933593,"score_gpt":0.4384096282594968,"score_spread":0.3274849695901609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205179018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99597245,0.0012739751,0.000005507227,0.0005609303,0.00042545793,0.0015846719,0.00009295727,0.000008203338,0.000075865595],"genre_scores_gemma":[0.9982492,0.000015104373,0.00010778039,0.00007547009,0.000032798012,0.0014588147,0.0000026533319,0.00001009639,0.000048111775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99801105,0.0005865246,0.00031861936,0.00028360914,0.0006883507,0.00011181794],"domain_scores_gemma":[0.99905396,0.000057062964,0.00016851378,0.00032862235,0.00034717622,0.00004468789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023633393,0.00010613553,0.00030155873,0.00004575473,0.00011601461,0.000005020191,0.00008679453,0.000028163895,0.0004326417],"category_scores_gemma":[0.000035617733,0.00007788354,0.00003824775,0.00041527423,0.00012615844,0.000036649813,0.00027311925,0.0001500892,3.6274454e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022878185,0.0002447185,0.7552415,0.00019758097,0.000072544775,1.676761e-7,0.008869893,0.00001770079,0.0009236886,0.000013100085,0.000073952186,0.23411638],"study_design_scores_gemma":[0.0015018634,0.00008314565,0.98430854,0.000044544366,0.00019368809,0.0000059182407,0.009276398,0.000098407225,0.002886651,0.000060838756,0.0014600197,0.000080006634],"about_ca_topic_score_codex":0.003752561,"about_ca_topic_score_gemma":0.013671525,"teacher_disagreement_score":0.23403637,"about_ca_system_score_codex":0.00049566466,"about_ca_system_score_gemma":0.00088617834,"threshold_uncertainty_score":0.76290315},"labels":[],"label_agreement":null},{"id":"W4205210936","doi":"10.2196/33355","title":"The Extent of Engagement With Telehealth Approaches by Patients With Advanced Cancer: Systematic Review","year":2022,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Telehealth; Medicine; Psychology; Telemedicine; Health care; Political science","score_opus":0.08524769021027816,"score_gpt":0.40271977230411865,"score_spread":0.3174720820938405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205210936","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00002451605,0.97709876,0.000010668358,0.0005148268,0.00014328217,0.021718983,0.000313338,0.000037227863,0.00013841083],"genre_scores_gemma":[0.000028604076,0.9554739,0.00007278124,0.00096019055,0.00008057153,0.042242203,0.0007022704,0.000098309305,0.00034118985],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957326,0.0004718712,0.0015451539,0.0005177598,0.0012307458,0.00050187635],"domain_scores_gemma":[0.9962373,0.00029937088,0.0023206808,0.00078665523,0.00015863616,0.00019735559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007742212,0.00051708904,0.003114531,0.000103363054,0.0002767963,0.00001046639,0.00027978068,0.00006284907,0.00040233947],"category_scores_gemma":[0.000051924224,0.00024085263,0.0001941045,0.00068755524,0.00008902441,0.000057623987,0.00006546458,0.0006295023,0.0000022146412],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050970557,0.00009703059,0.00011851099,0.55408096,0.00036156084,0.0000016262678,0.000069952664,2.4802998e-7,5.831168e-9,0.0000080502705,0.005974221,0.43923682],"study_design_scores_gemma":[0.000991347,0.00095897814,0.000042853062,0.33042693,0.003680414,0.000005937361,0.00014176512,5.1188846e-7,1.6791309e-7,2.4412344e-7,0.66357946,0.00017135276],"about_ca_topic_score_codex":0.00020095655,"about_ca_topic_score_gemma":0.00009756642,"teacher_disagreement_score":0.6576053,"about_ca_system_score_codex":0.0010221956,"about_ca_system_score_gemma":0.0014560901,"threshold_uncertainty_score":0.98216856},"labels":[],"label_agreement":null},{"id":"W4205407358","doi":"10.2196/29745","title":"Remote Psychological Interventions for Fear of Cancer Recurrence: Scoping Review","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychological intervention; Cancer recurrence; Cancer; Medicine; Psychotherapist; Clinical psychology; Psychology; Psychiatry; Internal medicine","score_opus":0.14283103303130787,"score_gpt":0.5090143811855745,"score_spread":0.3661833481542667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205407358","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0657885,0.90437204,0.0009971473,0.013788606,0.0042870427,0.006987963,0.0008269496,0.000119704644,0.002832029],"genre_scores_gemma":[0.6459007,0.2925808,0.001586497,0.019609854,0.0017695602,0.02414532,0.00027591438,0.00014820606,0.013983128],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9988668,0.000055920013,0.0003537396,0.0002791924,0.00025309692,0.00019125007],"domain_scores_gemma":[0.99931425,0.00003740942,0.00017330679,0.00026837763,0.00013671439,0.000069961636],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025286985,0.000104138366,0.0003977405,0.000058389935,0.00009640117,0.000004245495,0.00012869276,0.000035733032,0.0064782654],"category_scores_gemma":[0.00004002158,0.000093305905,0.0003821268,0.0003493344,0.000047228557,0.000027975835,0.00006932837,0.00021462154,0.0000023344548],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009824293,0.000485773,0.0068451716,0.08160694,0.00022324374,0.000013154867,0.0009646401,0.00005320659,0.00068291766,0.00024034688,0.15013938,0.7577628],"study_design_scores_gemma":[0.006063219,0.0034276347,0.020401128,0.51818293,0.0012579358,0.00008057722,0.00092195504,0.00026580345,0.0010095728,0.00048837083,0.4468899,0.001010977],"about_ca_topic_score_codex":0.0007331352,"about_ca_topic_score_gemma":0.0015222298,"teacher_disagreement_score":0.75675184,"about_ca_system_score_codex":0.00018985727,"about_ca_system_score_gemma":0.00017453825,"threshold_uncertainty_score":0.99442995},"labels":[],"label_agreement":null},{"id":"W4205844265","doi":"10.2196/31576","title":"Feasibility and Acceptability of a Physical Activity Tracker and Text Messages to Promote Physical Activity During Chemotherapy for Colorectal Cancer: Pilot Randomized Controlled Trial (Smart Pace II)","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Complementary and Integrative Health; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"Physical activity; Activity tracker; Randomized controlled trial; Pace; Motor activity; Chemotherapy; Colorectal cancer","score_opus":0.02092723542323627,"score_gpt":0.34255820749287913,"score_spread":0.32163097206964286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205844265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790083,0.00026786528,0.000012419328,0.0020522126,0.00028946513,0.01793134,0.00031420405,0.000058929916,0.00006523722],"genre_scores_gemma":[0.9768349,0.00006512862,0.000016462489,0.00007347861,0.00048626194,0.022161542,0.000003265921,0.000041277617,0.0003176801],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99770117,0.00041293976,0.0002629927,0.0007538693,0.00049632177,0.00037270912],"domain_scores_gemma":[0.99848396,0.0005707385,0.0002692347,0.000308061,0.00015427852,0.00021371528],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007641426,0.0003479835,0.002355635,0.00006887915,0.00029767884,0.000025589083,0.00009835741,0.00006447802,0.00022969535],"category_scores_gemma":[0.00018714853,0.0002746652,0.00052476,0.00024842346,0.00028552907,0.00014675551,0.00015831857,0.00037459604,1.1901848e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.8908206,0.002787534,0.0026506404,0.00035720252,0.0003703922,0.0000011480852,0.006543741,0.000007154211,0.062369447,0.000008994383,0.000045294935,0.03403784],"study_design_scores_gemma":[0.8595485,0.0027959468,0.08876693,0.000036830872,0.00042780192,0.00000288176,0.0002685754,0.0010860042,0.046328098,0.000059275277,0.00036439564,0.00031477585],"about_ca_topic_score_codex":0.0017082955,"about_ca_topic_score_gemma":0.0013349403,"teacher_disagreement_score":0.08611629,"about_ca_system_score_codex":0.00052115746,"about_ca_system_score_gemma":0.00035897104,"threshold_uncertainty_score":0.99997056},"labels":[],"label_agreement":null},{"id":"W4206223036","doi":"10.2196/31756","title":"Evaluation of the Pathways for Survivors Program to Address Breast Cancer Survivorship–Associated Distress: Survey Study","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of California, San Francisco","keywords":"Anxiety; Medicine; Breast cancer; Depression (economics); Survivorship curve; Quality of life (healthcare); Moderation; Distress; Physical therapy; Population; Cancer; Clinical psychology; Internal medicine; Psychology; Psychiatry; Nursing","score_opus":0.09153375736695188,"score_gpt":0.39631750332594673,"score_spread":0.3047837459589948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206223036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835252,0.0010704687,0.000008951665,0.0012295451,0.0019495524,0.0061905235,0.005635005,0.00008272747,0.00030801757],"genre_scores_gemma":[0.98782957,0.000041286028,0.0000044635462,0.00025592747,0.0002602057,0.010493632,0.00024710537,0.00006736625,0.0008004247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99566364,0.0010602622,0.0004922337,0.00061109493,0.001696735,0.0004760316],"domain_scores_gemma":[0.994225,0.00022196474,0.0002648485,0.0007500937,0.0043383017,0.00019977799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002478375,0.0002947824,0.0005975231,0.00007318532,0.0001527501,0.000049427174,0.00027178664,0.0001517889,0.00055223115],"category_scores_gemma":[0.0005223583,0.00022349395,0.0002696257,0.0013669898,0.000070791866,0.0000737757,0.0001308754,0.00022487542,0.0000022691552],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005477791,0.0017835073,0.9073757,0.0002045387,0.0005739754,0.000003153737,0.003949617,0.00017947302,0.0006150647,0.000011731497,0.0019265505,0.08282895],"study_design_scores_gemma":[0.0026774162,0.00025383398,0.9906672,0.00044303955,0.0007160434,0.0000023089142,0.0022877755,0.00031405166,0.0011702694,0.000024048302,0.0011728954,0.0002711003],"about_ca_topic_score_codex":0.073979035,"about_ca_topic_score_gemma":0.83152854,"teacher_disagreement_score":0.7575495,"about_ca_system_score_codex":0.0007997295,"about_ca_system_score_gemma":0.0015927316,"threshold_uncertainty_score":0.93218744},"labels":[],"label_agreement":null},{"id":"W4206422154","doi":"10.2196/31118","title":"An Analysis of Health Care Team Communication Needs Among Younger vs Older Breast Cancer Survivors: Web-Based Survey","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychosocial; Breast cancer; Medicine; Survivorship curve; Health care; Family medicine; Gerontology; Cancer; Psychiatry; Internal medicine","score_opus":0.01670904294860161,"score_gpt":0.3292515413227344,"score_spread":0.3125424983741328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206422154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856261,0.0063617458,0.00003555286,0.001733455,0.00044392736,0.000815025,0.004562695,0.00010717172,0.00031434643],"genre_scores_gemma":[0.99303395,0.0003082283,0.000012386913,0.002269451,0.00009772299,0.0014887414,0.0023965368,0.00006420751,0.0003287758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967834,0.0009944288,0.00057984254,0.00042513324,0.00080323685,0.0004139969],"domain_scores_gemma":[0.99737555,0.000092303635,0.00044188986,0.0012892558,0.00056931796,0.000231678],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00090996013,0.00026835102,0.0008893829,0.00073387596,0.00032262376,0.000027742059,0.00039508071,0.00009700126,0.0040195636],"category_scores_gemma":[0.0000074206027,0.0002682175,0.00031130147,0.003318358,0.00014541528,0.00016226924,0.000099353434,0.00043589014,0.0000012975414],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000585947,0.00026260037,0.9757393,0.00021307272,0.00055728195,0.0000011454837,0.010336867,0.0029459232,0.00007866357,0.000009150619,0.0029253985,0.006344651],"study_design_scores_gemma":[0.0012281225,0.00019129949,0.97830045,0.00010748823,0.0005918381,0.0000012052716,0.009987257,0.0021014013,0.00004581108,5.2598324e-7,0.007176755,0.00026781624],"about_ca_topic_score_codex":0.5084328,"about_ca_topic_score_gemma":0.6466761,"teacher_disagreement_score":0.1382433,"about_ca_system_score_codex":0.0015498417,"about_ca_system_score_gemma":0.0014768722,"threshold_uncertainty_score":0.999977},"labels":[],"label_agreement":null},{"id":"W4207034503","doi":"10.2196/19379","title":"Comparing Survivors of Cancer in Population-Based Samples With Those in Online Cancer Communities: Cross-sectional Questionnaire Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; The Internet; Population; Cancer; Family medicine; Internet users; Demography; Internal medicine; Environmental health; World Wide Web","score_opus":0.14072502456755173,"score_gpt":0.5191683719024918,"score_spread":0.37844334733494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207034503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99588525,0.00037192268,0.00002274831,0.00024125713,0.000587713,0.0018436417,0.00090823835,0.000047486596,0.000091757895],"genre_scores_gemma":[0.99179643,0.000035076708,0.00005242304,0.001119229,0.000091748254,0.0065642702,0.00022463144,0.0000197217,0.000096456846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996237,0.0011324754,0.0015649928,0.00021319832,0.00047379403,0.00037853443],"domain_scores_gemma":[0.9982522,0.00034481887,0.0007025371,0.00032623686,0.00029869663,0.00007548148],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014436621,0.00016551187,0.0004009067,0.00033153335,0.0007935056,0.00001517006,0.00026604897,0.00007600869,0.0033153677],"category_scores_gemma":[0.000039394225,0.00014785468,0.000033998283,0.0008327429,0.00005960622,0.00047324476,0.00012362086,0.0010817632,0.0000011566871],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005354028,0.00036497082,0.8813731,0.00053558475,0.000010788936,4.6709323e-7,0.015809618,0.10060848,7.478692e-7,0.00005169718,0.000026744405,0.00068240514],"study_design_scores_gemma":[0.0022361325,0.00007043063,0.9699253,0.000621351,0.0000037770403,7.7503685e-8,0.009939418,0.016296823,6.427832e-7,0.000026560641,0.00072659744,0.0001529291],"about_ca_topic_score_codex":0.63750917,"about_ca_topic_score_gemma":0.8440551,"teacher_disagreement_score":0.20654593,"about_ca_system_score_codex":0.00204183,"about_ca_system_score_gemma":0.0016857284,"threshold_uncertainty_score":0.9975957},"labels":[],"label_agreement":null},{"id":"W4210474493","doi":"10.2196/25005","title":"Web-Based Patient Educational Material on Osteosarcoma: Quantitative Assessment of Readability and Understandability","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Readability; Osteosarcoma; Grade level; Computer science; Quality (philosophy); Web application; Quality Score; Medicine; MEDLINE; World Wide Web; Medical physics; Information retrieval; Psychology; Pathology; Mathematics education","score_opus":0.06714699938828023,"score_gpt":0.4995032734404261,"score_spread":0.4323562740521459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210474493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876665,0.000025528781,0.00006411892,0.0040421723,0.000921212,0.0016463707,0.0017418573,0.000028020673,0.0038642378],"genre_scores_gemma":[0.99363744,0.0000037225539,0.0009953344,0.0027075617,0.000045956047,0.0024106093,0.00013164696,0.000008138851,0.000059602124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967993,0.0012028251,0.0010372844,0.00026831529,0.0004412372,0.00025102432],"domain_scores_gemma":[0.9979208,0.00079535274,0.0005903745,0.00032600568,0.00025898952,0.00010848249],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014454364,0.000116982985,0.00024255693,0.000082414655,0.0008099509,0.000008242579,0.00010623104,0.000057739442,0.009563884],"category_scores_gemma":[0.00012732888,0.00009991902,0.00004225162,0.00019879056,0.00012016796,0.00021544496,0.00011490735,0.00044331397,0.0000041744897],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017865737,0.0010406263,0.95202124,0.0021234537,0.000021206944,2.6161447e-7,0.009414687,0.0003018609,0.00023133158,0.017984986,0.008705073,0.006368723],"study_design_scores_gemma":[0.0014709613,0.0008808382,0.9264213,0.0001254296,0.000009410657,2.1687343e-7,0.007022984,0.0046481974,0.00011470273,0.0024425557,0.05666124,0.00020218572],"about_ca_topic_score_codex":0.00050730165,"about_ca_topic_score_gemma":0.00012874758,"teacher_disagreement_score":0.04795617,"about_ca_system_score_codex":0.0013089404,"about_ca_system_score_gemma":0.0027757876,"threshold_uncertainty_score":0.99134153},"labels":[],"label_agreement":null},{"id":"W4210862014","doi":"10.2196/34073","title":"The Experiences of Patients With Adjuvant and Metastatic Melanoma Using Disease-Specific Social Media Communities in the Advent of Novel Therapies (Excite Project): Social Media Listening Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Active listening; Quality of life (healthcare); Social media; Adjuvant; Disease; Adjuvant therapy; Melanoma; Qualitative research; Family medicine; Internal medicine; Oncology; Cancer; Psychology; Nursing; Psychotherapist","score_opus":0.18356409763956613,"score_gpt":0.40732372024431773,"score_spread":0.2237596226047516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210862014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946911,0.0015612856,0.0000011753982,0.000512816,0.0010303755,0.002109768,0.00006520189,0.000008854833,0.000019465439],"genre_scores_gemma":[0.9943068,0.000117547264,0.000036263336,0.000032498596,0.00028763068,0.005194749,0.000010257898,0.000012937817,0.0000013044687],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9968452,0.0012801478,0.00037207655,0.00013843563,0.0010897153,0.00027446426],"domain_scores_gemma":[0.9963065,0.0029502865,0.00043095794,0.00011983908,0.00015625586,0.000036190315],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012111166,0.000116668874,0.00025766986,0.00009035596,0.0019763578,0.000045697965,0.00040477945,0.000022477298,0.00004716762],"category_scores_gemma":[0.00019957412,0.00007597785,0.000040857365,0.00063212804,0.0010725975,0.00013953917,0.00008164029,0.00021010575,3.254751e-8],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001744506,0.00036819355,0.0909343,0.000021414487,0.000022861826,3.8925614e-7,0.9023667,0.0000039695988,0.000001383733,0.00047450024,0.000027919114,0.0056038983],"study_design_scores_gemma":[0.00045681928,0.000050671257,0.3362665,0.000015573556,0.00002004718,3.7123186e-8,0.66203725,0.000010204349,4.2549942e-7,0.000049201877,0.001031499,0.000061801555],"about_ca_topic_score_codex":0.0052603306,"about_ca_topic_score_gemma":0.020474672,"teacher_disagreement_score":0.2453322,"about_ca_system_score_codex":0.00023981625,"about_ca_system_score_gemma":0.0006740361,"threshold_uncertainty_score":0.99932295},"labels":[],"label_agreement":null},{"id":"W4211014606","doi":"10.2196/34392","title":"Cancer Screening Recommendations During the COVID-19 Pandemic: Scoping Review","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institutes of Health","keywords":"Medicine; Triage; Cancer screening; Pandemic; Cancer; MEDLINE; Risk assessment; Health care; Family medicine; Cervical cancer; Disease; Coronavirus disease 2019 (COVID-19); Medical emergency; Pathology; Internal medicine; Infectious disease (medical specialty)","score_opus":0.25258675399340663,"score_gpt":0.5337929579682196,"score_spread":0.28120620397481294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211014606","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04267882,0.22848034,0.00027180937,0.72075266,0.00095559406,0.0056661423,0.00028756983,0.00036531533,0.00054174894],"genre_scores_gemma":[0.27016222,0.19766822,0.00014696935,0.5134612,0.0014111903,0.011601334,0.0000831492,0.000090378206,0.0053753247],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99845517,0.00016045463,0.00034823827,0.00029458894,0.00036878083,0.00037276515],"domain_scores_gemma":[0.9988581,0.00021664432,0.00017769237,0.00036471788,0.00006629576,0.0003165566],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00057367416,0.00014114185,0.00031368944,0.00008534305,0.0009906399,0.00001729332,0.00015647904,0.000034136934,0.010653089],"category_scores_gemma":[0.00024596901,0.00010821547,0.00010965519,0.00051334477,0.00003975259,0.00007637495,0.00016290924,0.00054604065,0.0000073668184],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050259713,0.00012531856,0.52638793,0.04251657,0.0002550952,0.00007818262,0.0044443207,0.0010102624,0.000857633,0.000076238866,0.26154456,0.16220129],"study_design_scores_gemma":[0.0013694772,0.00007228754,0.028240275,0.016356975,0.00012224156,0.00013015541,0.0003130628,0.000054971577,0.000019714646,0.000015151905,0.9530813,0.00022439464],"about_ca_topic_score_codex":0.00494162,"about_ca_topic_score_gemma":0.0035623524,"teacher_disagreement_score":0.6915367,"about_ca_system_score_codex":0.0016729324,"about_ca_system_score_gemma":0.0024026136,"threshold_uncertainty_score":0.9902513},"labels":[],"label_agreement":null},{"id":"W4211217464","doi":"10.2196/34895","title":"Clinicians’ Perceptions of the Benefits and Challenges of Teleoncology as Experienced Through the COVID-19 Pandemic: Qualitative Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; National Center for Advancing Translational Sciences; Clinical and Translational Science Institute, University of Florida; University of Florida","keywords":"Telemedicine; Pandemic; Medicine; Coronavirus disease 2019 (COVID-19); Thematic analysis; Qualitative research; Limiting; Perception; Family medicine; Health care; Nursing; Medical emergency; Medical education; Psychology; Internal medicine; Disease; Infectious disease (medical specialty)","score_opus":0.26562008999462117,"score_gpt":0.5417920821177558,"score_spread":0.2761719921231346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211217464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9644407,0.003134656,0.000005231472,0.030343782,0.000194373,0.0015672569,0.000057320518,0.000013309971,0.0002433747],"genre_scores_gemma":[0.99019104,0.0020883381,0.000021578926,0.0059783184,0.00009909002,0.0015385739,0.0000042381203,0.000008455917,0.0000703736],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9984475,0.00048309768,0.0004080631,0.00018605105,0.00033312986,0.0001422005],"domain_scores_gemma":[0.99885774,0.0004894289,0.00028681342,0.00023248594,0.000078529265,0.000055011857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059651025,0.00008350867,0.00026935004,0.000037112903,0.00025254805,0.0000012658346,0.00011680507,0.000028979337,0.000822686],"category_scores_gemma":[0.00015589617,0.0000484325,0.00004633639,0.00021579469,0.00024407072,0.000033455122,0.00009980882,0.00019926917,4.4858518e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025732713,0.00029261826,0.14348184,0.00010599266,0.00007180583,9.762748e-7,0.8271633,0.000016695789,0.00015995676,0.0012250503,0.0017699889,0.02545447],"study_design_scores_gemma":[0.002055189,0.001985572,0.17237337,0.000012713692,0.000070201386,0.000019569887,0.7925336,0.000002312648,0.000016809261,0.00023000111,0.03065755,0.000043149015],"about_ca_topic_score_codex":0.0024489197,"about_ca_topic_score_gemma":0.0025640782,"teacher_disagreement_score":0.03462971,"about_ca_system_score_codex":0.00013496919,"about_ca_system_score_gemma":0.00042682537,"threshold_uncertainty_score":0.9007835},"labels":[],"label_agreement":null},{"id":"W4212955355","doi":"10.2196/31461","title":"Physicians’ Perceptions of and Satisfaction With Artificial Intelligence in Cancer Treatment: A Clinical Decision Support System Experience and Implications for Low-Middle–Income Countries","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Low and middle income countries; Watson; Variety (cybernetics); Cancer survivorship; Health care; Healthcare system; Perception; Medicine; Developing country; Knowledge management; Medical education; Psychology; Cancer; Artificial intelligence; Political science; Computer science; Economic growth; Survivorship curve; Internal medicine","score_opus":0.15403746524901024,"score_gpt":0.4917082270431627,"score_spread":0.33767076179415245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212955355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99518317,0.0003406604,0.0014906172,0.001384241,0.00022580636,0.0012029407,0.00014198599,0.00001999055,0.000010593428],"genre_scores_gemma":[0.99355894,0.001069785,0.00044704168,0.00012786135,0.00017507483,0.004559778,0.000013725793,0.0000133402045,0.00003443464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883425,0.00003651697,0.00051845383,0.00030701625,0.00013184674,0.00017193054],"domain_scores_gemma":[0.99922293,0.00021197018,0.00016436019,0.00016995294,0.00015572015,0.00007507279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015468479,0.00010623888,0.00027333104,0.000108903856,0.0002409832,0.000014187459,0.00003763393,0.000049685827,0.00009767074],"category_scores_gemma":[0.000020023383,0.0000913538,0.000040061324,0.00024552937,0.00017429588,0.00010404524,0.000018638673,0.00010361758,9.583622e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066204736,0.000114735216,0.7000089,0.00018132178,0.000015522533,6.643657e-7,0.0066172034,0.00012543416,0.00018178472,0.00079792604,0.000021196316,0.29127324],"study_design_scores_gemma":[0.00016632387,0.0015105122,0.9665212,0.0005426155,0.000078583675,0.00002260453,0.027091278,0.0024181935,0.0005388272,0.0004364127,0.00052111025,0.00015233009],"about_ca_topic_score_codex":0.0038256254,"about_ca_topic_score_gemma":0.005172688,"teacher_disagreement_score":0.29112092,"about_ca_system_score_codex":0.0004928978,"about_ca_system_score_gemma":0.00037152527,"threshold_uncertainty_score":0.57832265},"labels":[],"label_agreement":null},{"id":"W4213195345","doi":"10.2196/29292","title":"Communicating Treatment-Related Symptoms Using Passively Collected Data and Satisfaction/Loyalty Ratings: Exploratory Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Loyalty; Metadata; Patient satisfaction; Psychology; Medicine; Family medicine; Computer science; Nursing; World Wide Web; Business; Marketing","score_opus":0.06765305640152906,"score_gpt":0.3591662113657613,"score_spread":0.29151315496423225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213195345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949822,0.0024584944,0.000005029196,0.00028875354,0.0003470155,0.0012427549,0.0002873426,0.000118871554,0.0002695448],"genre_scores_gemma":[0.99782383,0.000114318216,0.00004599452,0.00025387283,0.000080889266,0.0010130939,0.00012630533,0.000043154127,0.0004985153],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846345,0.00027718834,0.000303708,0.00042747974,0.00030831937,0.0002198731],"domain_scores_gemma":[0.9986383,0.00008721421,0.00019263958,0.0008911175,0.000081711245,0.00010902586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001801235,0.00018729307,0.00034299318,0.0000993313,0.0007115235,0.00003723979,0.00017478091,0.000042695916,0.0006336326],"category_scores_gemma":[0.000021851869,0.00017742222,0.000038089205,0.00054263085,0.00006165475,0.00013963913,0.0004418311,0.00030879263,0.0000016389876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040235146,0.0005096467,0.91140795,0.000054970027,0.0006871092,0.000056375167,0.039985687,0.00011136771,0.0025160736,0.000008303824,0.0016756809,0.04258449],"study_design_scores_gemma":[0.020824986,0.0041506286,0.6988416,0.0003621373,0.0016284977,0.0001800321,0.18299957,0.020408936,0.00029384758,0.000025352974,0.069088265,0.0011961794],"about_ca_topic_score_codex":0.008332611,"about_ca_topic_score_gemma":0.015901756,"teacher_disagreement_score":0.21256638,"about_ca_system_score_codex":0.0008700922,"about_ca_system_score_gemma":0.00047617446,"threshold_uncertainty_score":0.998271},"labels":[],"label_agreement":null},{"id":"W4213346193","doi":"10.2196/33110","title":"Exploring Resource-Sharing Behaviors for Finding Relevant Health Resources: Analysis of an Online Ovarian Cancer Community","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. National Library of Medicine; National Institute of Nursing Research; National Institutes of Health","keywords":"Ovarian cancer; Resource (disambiguation); Shared resource; Computer science; Cancer; Knowledge management; Medicine; Internal medicine; Computer security; Computer network","score_opus":0.34547986949976905,"score_gpt":0.43923105572065413,"score_spread":0.09375118622088507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213346193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960869,0.00037011702,0.0000472765,0.00083615526,0.0002864261,0.00067635824,0.00031574827,0.00010309204,0.0012779441],"genre_scores_gemma":[0.99536896,0.00017171058,0.00023091823,0.00022080417,0.00029755954,0.001701616,0.00013161427,0.000032906653,0.0018438863],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99774265,0.00047335782,0.00043792397,0.00033608303,0.00049874245,0.00051122694],"domain_scores_gemma":[0.998829,0.00014235727,0.0003513422,0.0004481593,0.00007563917,0.00015350468],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0023302846,0.00014430337,0.00042580935,0.0005812256,0.0029301592,0.000072962735,0.0008067528,0.000035762216,0.0006321697],"category_scores_gemma":[0.000051267674,0.00016488346,0.00020815054,0.0019107664,0.00008771626,0.0002957768,0.00045037226,0.00042434724,3.363982e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029613837,0.00091797824,0.18932992,0.00031769217,0.0010789016,0.0000045886854,0.6220696,0.024811657,0.00022876267,0.0034143776,0.0011982819,0.15633208],"study_design_scores_gemma":[0.0012541248,0.0003284272,0.18567882,0.00023766568,0.0010201879,1.3498776e-7,0.28382072,0.012785324,0.00005104773,0.00021725078,0.51389927,0.0007070586],"about_ca_topic_score_codex":0.07394012,"about_ca_topic_score_gemma":0.15772092,"teacher_disagreement_score":0.512701,"about_ca_system_score_codex":0.0009848098,"about_ca_system_score_gemma":0.00015945053,"threshold_uncertainty_score":0.9983679},"labels":[],"label_agreement":null},{"id":"W4213362061","doi":"10.2196/31218","title":"Designing Supportive e-Interventions for Partners of Men With Prostate Cancer Using Female Partners’ Experiences: Qualitative Exploration Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Deakin University; University of Technology Sydney; Prostate Cancer Foundation of Australia; Prostate Cancer Foundation","keywords":"Nonprobability sampling; Focus group; Qualitative research; Psychological intervention; Psychology; Phone; Content analysis; Social support; Medical education; Nursing; Medicine; Social psychology; Sociology; Population","score_opus":0.23147509378323478,"score_gpt":0.5080390448608728,"score_spread":0.27656395107763804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213362061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99169177,0.00074568205,0.0031667186,0.0002452678,0.0002302531,0.003489708,0.00015540814,0.000039908617,0.00023528552],"genre_scores_gemma":[0.9682714,0.00002069906,0.00031103165,0.00008016616,0.00007866305,0.029724952,0.000044323682,0.000035003784,0.001433758],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9983171,0.00020768089,0.0003951712,0.000365402,0.00044663146,0.00026801598],"domain_scores_gemma":[0.9990107,0.00006792579,0.00035129327,0.00018768753,0.00029516203,0.00008723896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042452262,0.00016731958,0.0003848376,0.00011975641,0.00025160649,0.000017655711,0.00008228086,0.00002318652,0.00060457335],"category_scores_gemma":[0.000015573367,0.00014409717,0.00015083353,0.000437768,0.00009994186,0.0002342077,0.000046259152,0.0001250006,3.0546246e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029015322,0.0004596038,0.01932369,0.00040665636,0.00033378223,0.000011224089,0.971157,0.0019323622,0.0012537726,0.00003129645,0.00085316336,0.0013359092],"study_design_scores_gemma":[0.002319632,0.002323119,0.000830059,0.00036401796,0.00025856827,0.0000020856614,0.9874299,0.00041379262,0.004827991,0.00003086193,0.0009951687,0.00020481223],"about_ca_topic_score_codex":0.0027116898,"about_ca_topic_score_gemma":0.0037610747,"teacher_disagreement_score":0.026235243,"about_ca_system_score_codex":0.0004409003,"about_ca_system_score_gemma":0.0005324197,"threshold_uncertainty_score":0.6619654},"labels":[],"label_agreement":null},{"id":"W4213424384","doi":"10.2196/33083","title":"Health Promotion Among Mexican-Origin Survivors of Breast Cancer and Caregivers Living in the United States–Mexico Border Region: Qualitative Analysis From the Vida Plena Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Chronic Disease Prevention and Health Promotion; National Institute on Minority Health and Health Disparities; Centers for Disease Control and Prevention; National Institutes of Health","keywords":"Breast cancer; Gerontology; Qualitative research; Health promotion; Medicine; Promotion (chess); Cancer; Family medicine; Public health; Political science; Nursing; Sociology","score_opus":0.03650796192421264,"score_gpt":0.3836145733516557,"score_spread":0.3471066114274431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213424384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98241764,0.0015271608,0.00003653803,0.013571893,0.00019998626,0.0014048137,0.0007769148,0.000025046911,0.000040009483],"genre_scores_gemma":[0.99648595,0.00059207826,0.0000016092981,0.0010561582,0.00010011216,0.0013975049,0.00015621514,0.000024137566,0.00018621182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966268,0.0015128615,0.00039701213,0.00043922334,0.00072198565,0.00030214305],"domain_scores_gemma":[0.9984585,0.00048652064,0.00033291956,0.00045384254,0.00017484925,0.00009336098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010059186,0.00021257906,0.0005377378,0.0002877063,0.00028886306,0.000027241565,0.00022787032,0.000038786,0.00046431605],"category_scores_gemma":[0.000018117273,0.00014046047,0.00012660022,0.0030179454,0.00017660987,0.000088214256,0.0001023157,0.00045709254,1.8956916e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002375883,0.00023384255,0.62475955,0.000041362837,0.00048820474,0.00000805135,0.37083182,0.0007986373,0.0000013207656,0.000012306374,0.0008217244,0.0017655684],"study_design_scores_gemma":[0.0006159303,0.00025027414,0.6267584,0.00011078046,0.00029168514,0.0000018543527,0.36980975,0.00037028594,0.0000012711781,0.000014850664,0.0016638151,0.000111104535],"about_ca_topic_score_codex":0.75740325,"about_ca_topic_score_gemma":0.67117524,"teacher_disagreement_score":0.08622804,"about_ca_system_score_codex":0.0006365195,"about_ca_system_score_gemma":0.00036724732,"threshold_uncertainty_score":0.5727812},"labels":[],"label_agreement":null},{"id":"W4220744328","doi":"10.2196/29581","title":"Assessment of the Quality, Understandability, and Reliability of YouTube Videos as a Source of Information on Basal Cell Carcinoma: Web-Based Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft; Friedrich-Alexander-Universität Erlangen-Nürnberg","keywords":"Computer science; Reliability (semiconductor); Quality (philosophy); Information retrieval; World Wide Web; Physics","score_opus":0.04089925176213045,"score_gpt":0.4501978019975163,"score_spread":0.40929855023538586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220744328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99087495,0.000016032662,0.00081901834,0.0010945995,0.0001802539,0.0014582974,0.00056832,0.000014887435,0.0049736304],"genre_scores_gemma":[0.9971116,0.0000036286515,0.00017720796,0.0021646929,0.00001296,0.00040588295,0.00003854695,0.000005288604,0.000080177895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949983,0.0016407087,0.002147995,0.00017951614,0.0008097996,0.00022372989],"domain_scores_gemma":[0.99591285,0.00081458007,0.0019091044,0.0007415906,0.00053723255,0.000084660685],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0042916536,0.00012514347,0.00046834024,0.00021382264,0.0004509879,0.0000058813316,0.0002641079,0.000095150855,0.0014523836],"category_scores_gemma":[0.00028186344,0.00008923497,0.00018519581,0.0010122361,0.00016176862,0.00041258187,0.00026785026,0.0005468597,0.000001107969],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000259496,0.00018395664,0.98437417,0.0027481548,0.000016662245,1.1454983e-8,0.0062405663,0.0049591428,0.00003675728,0.00050692476,0.00037393815,0.0003002402],"study_design_scores_gemma":[0.0013702282,0.00017091197,0.9721653,0.000044927936,0.00006509535,2.0321616e-8,0.0057097794,0.016150286,0.00024063815,0.0002506144,0.0037460097,0.00008621946],"about_ca_topic_score_codex":0.006011314,"about_ca_topic_score_gemma":0.0002777329,"teacher_disagreement_score":0.012208881,"about_ca_system_score_codex":0.0007134387,"about_ca_system_score_gemma":0.0021507002,"threshold_uncertainty_score":0.9994604},"labels":[],"label_agreement":null},{"id":"W4220747402","doi":"10.2196/31388","title":"Twitter Conversations About Pancreatic Cancer by Health Care Providers and the General Public: Thematic Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pancreatic cancer; Public health; Health care; Thematic analysis; Social media; Medicine; Odds; Family medicine; Cancer; Psychology; Nursing; Logistic regression; World Wide Web; Sociology; Political science; Qualitative research; Internal medicine; Computer science","score_opus":0.06483709303625515,"score_gpt":0.4234109821512204,"score_spread":0.35857388911496524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220747402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6583952,0.019086907,0.00003282795,0.3143871,0.0022422376,0.0046269875,0.00013524777,0.00008217716,0.0010113377],"genre_scores_gemma":[0.9572425,0.0015498586,0.000059136517,0.008823727,0.00061403675,0.03068399,0.00004037967,0.000016118844,0.00097027636],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99767625,0.000864416,0.0002645627,0.00024903961,0.00055264035,0.00039307596],"domain_scores_gemma":[0.99862707,0.00062069856,0.00027059982,0.00018687398,0.00012173873,0.00017299484],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00071451446,0.00010114233,0.00027561272,0.000110024084,0.0020599114,0.000113904774,0.0002165394,0.000039410425,0.0016733361],"category_scores_gemma":[0.00021566669,0.000081274426,0.00008385764,0.0012141857,0.0004161654,0.00014301603,0.00004387085,0.00020448491,0.0000022730042],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023746898,0.000036732137,0.14549077,0.00011613716,0.00030326942,1.602938e-7,0.7653664,0.00007058334,0.0000020051446,0.0040168394,0.068545476,0.01602792],"study_design_scores_gemma":[0.0013408506,0.000043146087,0.0502323,0.00002866315,0.0004871772,2.5971937e-7,0.33401698,0.0006060906,0.0000025737895,0.00048909825,0.6124275,0.0003253797],"about_ca_topic_score_codex":0.18461284,"about_ca_topic_score_gemma":0.041268755,"teacher_disagreement_score":0.543882,"about_ca_system_score_codex":0.0017020806,"about_ca_system_score_gemma":0.00218919,"threshold_uncertainty_score":0.99923927},"labels":[],"label_agreement":null},{"id":"W4220798022","doi":"10.2196/33152","title":"An mHealth App to Support Caregivers in the Medical Management of Their Child With Cancer: Co-design and User Testing Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Science Foundation","keywords":"Usability; mHealth; Focus group; Medicine; Pediatric cancer; Nursing; Psychology; Cancer; Computer science; Psychological intervention","score_opus":0.05254344291795623,"score_gpt":0.3814750632420373,"score_spread":0.3289316203240811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220798022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98615396,0.00035403704,0.00006949059,0.008706061,0.000109125125,0.0036212443,0.00006087153,0.000049447706,0.0008757715],"genre_scores_gemma":[0.99257284,0.00008700151,0.00026162594,0.0047373483,0.00014486768,0.0020738505,0.000010256682,0.00003447641,0.00007775689],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997183,0.00039234365,0.00036409887,0.00046267663,0.0012658844,0.00033197814],"domain_scores_gemma":[0.99894226,0.00014216268,0.00014722835,0.00048040727,0.000053874974,0.00023405773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001645787,0.00019430087,0.00042329927,0.00012588488,0.00019091372,0.000014425168,0.0003429572,0.00003190961,0.00044099893],"category_scores_gemma":[0.0000124131475,0.00013520624,0.000028653396,0.0006284314,0.00008615405,0.000058327914,0.0001132008,0.00041807548,7.6094636e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027566787,0.0026692508,0.76463014,0.0011317364,0.00059263385,0.00075774424,0.15512247,0.002511555,0.000026192372,0.00010456253,0.017229019,0.05246799],"study_design_scores_gemma":[0.0075279963,0.0074327127,0.79055566,0.0007704444,0.00019872778,0.00012023029,0.17465062,0.00019621137,0.000051580857,0.000009247565,0.01811039,0.00037618438],"about_ca_topic_score_codex":0.00906536,"about_ca_topic_score_gemma":0.0037401323,"teacher_disagreement_score":0.052091807,"about_ca_system_score_codex":0.0003085758,"about_ca_system_score_gemma":0.0005526393,"threshold_uncertainty_score":0.9975334},"labels":[],"label_agreement":null},{"id":"W4220800444","doi":"10.2196/36788","title":"Mobile-Based Self-management Application Requirements for Patients With Gastric Cancer: Quantitative Descriptive Study of Specialist and Patient Perspectives","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Mazandaran University of Medical Sciences","keywords":"Descriptive statistics; Cancer; IBM; Medicine; Quality of life (healthcare); Quality (philosophy); Computer science; Internal medicine; Nursing; Statistics","score_opus":0.018567567388964215,"score_gpt":0.30977344027620346,"score_spread":0.29120587288723926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220800444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909439,0.0010041639,0.00024159237,0.000054166147,0.00016530785,0.006989492,0.00034580423,0.000032511867,0.00022307585],"genre_scores_gemma":[0.9752959,0.00006672462,0.00030633036,0.00009640897,0.00003721306,0.02407241,0.000039528095,0.000028352999,0.000057122936],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99862224,0.000052442792,0.00022109567,0.00041723327,0.0005066997,0.0001803196],"domain_scores_gemma":[0.99912566,0.00002308823,0.00023176828,0.00020940516,0.00034516447,0.00006491032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060569964,0.00015969078,0.000265523,0.0001485161,0.00016865857,0.000010028201,0.00007077442,0.000017026035,0.000073691546],"category_scores_gemma":[0.0000026591288,0.00014145489,0.00004504288,0.00041001049,0.000048220933,0.000057996844,0.0000593204,0.00008868464,2.0449576e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014884765,0.011032263,0.7115449,0.0007837026,0.0013913387,0.000007536757,0.20169723,0.0010542376,0.00014408948,0.0006380926,0.0015686787,0.055253197],"study_design_scores_gemma":[0.025033146,0.03849755,0.40675774,0.00022805238,0.0011583731,7.45379e-7,0.4888931,0.00056879706,0.00021584993,0.000039050774,0.037998527,0.0006090714],"about_ca_topic_score_codex":0.0016535752,"about_ca_topic_score_gemma":0.0014546361,"teacher_disagreement_score":0.3047871,"about_ca_system_score_codex":0.0010401439,"about_ca_system_score_gemma":0.0001250028,"threshold_uncertainty_score":0.5768363},"labels":[],"label_agreement":null},{"id":"W4220894469","doi":"10.2196/36364","title":"Implementing a Health Care Professional–Supported Digital Intervention for Survivors of Cancer in Primary Care: Qualitative Process Evaluation of the Renewed Intervention","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Department of Health and Social Care; National Institute for Health and Care Research; National Institute for Health Research Health Protection Research Unit","keywords":"Thematic analysis; Intervention (counseling); Nursing; Psychological intervention; Health care; Digital health; Medicine; Qualitative research; Psychology; Medical education","score_opus":0.04325897314319261,"score_gpt":0.46720206864852365,"score_spread":0.42394309550533105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220894469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98663026,0.0064433324,0.000041054365,0.00055780105,0.0010030683,0.003476295,0.0016569777,0.000014312574,0.00017690977],"genre_scores_gemma":[0.99175185,0.000015770498,0.000008945381,0.000095119016,0.000059699916,0.0068035307,0.0009463872,0.000025872303,0.00029283302],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9973802,0.00042659914,0.0007385375,0.00028792644,0.0009090381,0.00025771896],"domain_scores_gemma":[0.9979457,0.00005133579,0.0008041609,0.00020975345,0.00095060834,0.000038389655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013139696,0.0001353898,0.0003577946,0.00014958398,0.00012656662,0.000007644268,0.00013515593,0.000040608986,0.00036562036],"category_scores_gemma":[0.000051424027,0.00011269048,0.00028425935,0.0005530713,0.000045727942,0.00012403629,0.00013374734,0.00018259884,8.4960845e-8],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022508216,0.00055501185,0.21778412,0.013933843,0.00023486569,3.0701398e-7,0.3947398,0.00042320535,0.00085974875,0.0000416834,0.00048831716,0.3686883],"study_design_scores_gemma":[0.012255077,0.00102901,0.2702641,0.0052637253,0.0003563645,0.0000014379781,0.69843054,0.0002987775,0.0040568365,0.00028599735,0.007409581,0.0003485504],"about_ca_topic_score_codex":0.012756442,"about_ca_topic_score_gemma":0.14078586,"teacher_disagreement_score":0.36833972,"about_ca_system_score_codex":0.0020277302,"about_ca_system_score_gemma":0.0014855432,"threshold_uncertainty_score":0.9938177},"labels":[],"label_agreement":null},{"id":"W4221094794","doi":"10.2196/33239","title":"Efficacy of a Web-Based Psychoeducational Intervention for Young Adults With Fertility-Related Distress Following Cancer (Fex-Can): Randomized Controlled Trial","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fertility; Distress; Psychosocial; Medicine; Randomized controlled trial; Fertility preservation; Quality of life (healthcare); Psychological intervention; Intervention (counseling); Clinical psychology; Psychiatry; Population; Nursing; Environmental health; Internal medicine","score_opus":0.01371292524803804,"score_gpt":0.3375200140873203,"score_spread":0.3238070888392823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221094794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98116165,0.0018119793,0.000108374035,0.0018462139,0.0018251614,0.012891223,0.00018497871,0.000041236686,0.0001291636],"genre_scores_gemma":[0.95901346,0.000009562999,0.0000481431,0.00010350771,0.00016458108,0.03949928,0.00025088852,0.000019965277,0.00089060917],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9978189,0.000438634,0.0007188457,0.00051114487,0.000299616,0.00021284676],"domain_scores_gemma":[0.9985267,0.00040010264,0.00044482853,0.00032366463,0.00023720035,0.00006748316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010708637,0.0001905646,0.0011770166,0.000098351666,0.00015914807,0.000006027495,0.00010694457,0.00007935919,0.0008792908],"category_scores_gemma":[0.00042984594,0.00013261847,0.0008899433,0.00021908291,0.00017888426,0.000038018206,0.000019834773,0.00023640909,4.145089e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.98469925,0.0015795755,0.0087747825,0.00013655495,0.0012018641,0.0000012115287,0.000481695,0.00009634521,0.00061721745,0.000017946155,0.000277267,0.002116292],"study_design_scores_gemma":[0.91862226,0.00075504096,0.07787001,0.00024093225,0.0007166375,0.0000011352795,0.00012479052,0.00092829944,0.00027756096,0.00005933003,0.0002751014,0.00012893227],"about_ca_topic_score_codex":0.00033802507,"about_ca_topic_score_gemma":0.00016401324,"teacher_disagreement_score":0.069095224,"about_ca_system_score_codex":0.00028559848,"about_ca_system_score_gemma":0.0005576085,"threshold_uncertainty_score":0.96276176},"labels":[],"label_agreement":null},{"id":"W4224287249","doi":"10.2196/35020","title":"The Cancer Research Database (CRDB): Integrated Platform to Gain Statistical Insight Into the Correlation Between Cancer and COVID-19","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Database; Computer science; Cancer; Database design; Online database; Database schema; Medicine","score_opus":0.20645989935778278,"score_gpt":0.5286241418291472,"score_spread":0.32216424247136444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224287249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5467408,0.015796712,0.0037732644,0.42130187,0.0012317874,0.0064997827,0.003850271,0.00016799223,0.00063755474],"genre_scores_gemma":[0.96642464,0.0027131946,0.00006914446,0.022638252,0.0007944395,0.0045499494,0.0002482186,0.00005214763,0.002509987],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99710965,0.00030969936,0.00037988464,0.00050219166,0.0010579897,0.0006406035],"domain_scores_gemma":[0.996176,0.0021270928,0.00009402811,0.00054342666,0.00027710054,0.00078237324],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017872459,0.00019819949,0.00029771103,0.00020454211,0.0018697529,0.00008883502,0.00025334815,0.000082430925,0.0015193884],"category_scores_gemma":[0.0011122234,0.0001174415,0.00003650577,0.0011001084,0.0003108692,0.00011172647,0.0004098449,0.001391043,0.000014111293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0039047825,0.00009861602,0.15701504,0.00057746586,0.00022070209,0.00011242352,0.04395641,0.0008479539,0.00078900653,0.003874786,0.4723085,0.3162943],"study_design_scores_gemma":[0.0012193907,0.0003573662,0.07961407,0.00012619779,0.000063787214,0.000007317888,0.0024781409,0.0017090249,0.000087356755,0.0003998406,0.91376245,0.00017502815],"about_ca_topic_score_codex":0.14618002,"about_ca_topic_score_gemma":0.070769295,"teacher_disagreement_score":0.44145396,"about_ca_system_score_codex":0.004038514,"about_ca_system_score_gemma":0.006352318,"threshold_uncertainty_score":0.9997848},"labels":[],"label_agreement":null},{"id":"W4224295960","doi":"10.2196/34903","title":"A Cancer Exercise Toolkit Developed Using Co-Design: Mixed Methods Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Usability; Psychological intervention; Baseline (sea); Interquartile range; Analytics; Medical education; Medicine; Physical therapy; Psychology; Computer science; Nursing; Data science; Human–computer interaction","score_opus":0.11588259803909964,"score_gpt":0.46366184470937144,"score_spread":0.3477792466702718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224295960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9745098,0.009785908,0.004053966,0.0008192866,0.004238208,0.004545651,0.00015413368,0.00027235906,0.0016207097],"genre_scores_gemma":[0.9769984,0.00024238697,0.004090836,0.0014952773,0.0005341682,0.009750484,0.00002001437,0.000124171,0.006744267],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99750835,0.00045584576,0.0003664463,0.0005623487,0.0006490251,0.00045800905],"domain_scores_gemma":[0.9989487,0.000083592065,0.00014594824,0.00047261405,0.00015867132,0.00019049303],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00077750377,0.00028035807,0.00059726485,0.00018263371,0.00036383863,0.000036571313,0.00022513357,0.00006527377,0.0066413693],"category_scores_gemma":[0.000018669482,0.0002694191,0.00014476593,0.0008441594,0.000047087393,0.00009156864,0.00019750808,0.00044119352,0.00000890324],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046270886,0.0013991337,0.08745471,0.00040634937,0.00088891166,0.00040375904,0.042134833,0.0025948356,0.013206902,0.000023740298,0.049751054,0.7971087],"study_design_scores_gemma":[0.009135883,0.0012659046,0.07554962,0.00045868516,0.0015467919,0.00006758291,0.04420033,0.0024396863,0.012272215,0.00008296384,0.8513024,0.0016779394],"about_ca_topic_score_codex":0.007465063,"about_ca_topic_score_gemma":0.0019759207,"teacher_disagreement_score":0.80155134,"about_ca_system_score_codex":0.0012873615,"about_ca_system_score_gemma":0.0013134853,"threshold_uncertainty_score":0.9999758},"labels":[],"label_agreement":null},{"id":"W4224304207","doi":"10.2196/33240","title":"Barriers to Clinical Trial Participation: Comparative Study Between Rural and Urban Participants","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Cancer Institute","keywords":"Clinical trial; Accrual; Medicine; Family medicine; Cancer; Rural area; Lung cancer; Breast cancer; Gerontology; Business; Oncology; Internal medicine","score_opus":0.7635862182202687,"score_gpt":0.7032279546774268,"score_spread":0.060358263542841906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224304207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98928636,0.00008396849,0.0000040039004,0.0063618394,0.000563488,0.0031247083,0.000047473583,0.000039000006,0.0004891805],"genre_scores_gemma":[0.9918509,0.000016592201,0.000032746644,0.0014713701,0.0012213782,0.0036552977,0.000006250786,0.000018536697,0.0017268861],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963293,0.0007625543,0.00080906483,0.00045529634,0.0011777017,0.00046607517],"domain_scores_gemma":[0.99443966,0.0036746112,0.00011113197,0.0004204823,0.00019139581,0.0011627101],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004435386,0.00013361852,0.00060375215,0.00007212615,0.0003388654,0.000031909847,0.00019234342,0.00010359305,0.0021276094],"category_scores_gemma":[0.004012686,0.00011738701,0.000094688505,0.00036128316,0.00023824783,0.000047761518,0.0004367394,0.0016693663,0.000034502427],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01826112,0.00046018857,0.9670931,0.000016873628,0.0002100773,0.000019299037,0.007235701,0.000016435435,0.0000074552277,0.00012797999,0.004837383,0.0017144021],"study_design_scores_gemma":[0.040216174,0.0129544865,0.9230828,0.00004544556,0.00021598613,5.831949e-7,0.009366779,0.00009220341,0.00002998703,0.00048310097,0.013305544,0.00020686345],"about_ca_topic_score_codex":0.000112815185,"about_ca_topic_score_gemma":0.0002957477,"teacher_disagreement_score":0.044010237,"about_ca_system_score_codex":0.0001848232,"about_ca_system_score_gemma":0.00092817546,"threshold_uncertainty_score":0.9987846},"labels":[],"label_agreement":null},{"id":"W4224996648","doi":"10.2196/34833","title":"Investigation of Intervention Solutions to Enhance Adherence to Oral Anticancer Medicines in Adults: Overview of Reviews","year":2022,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Swinburne University of Technology; Australian Government","keywords":"Psychological intervention; Checklist; Systematic review; Medicine; Data extraction; Intervention (counseling); Alternative medicine; MEDLINE; Family medicine; Nursing; Psychology; Pathology","score_opus":0.31114419381309033,"score_gpt":0.5085179984895014,"score_spread":0.19737380467641108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224996648","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026597115,0.9941232,0.00014819771,0.00048376012,0.0003816992,0.0042263474,0.00007488681,0.000017113296,0.0002788096],"genre_scores_gemma":[0.00018160183,0.98889214,0.00047130327,0.0008765412,0.00012584092,0.008182636,0.00010570597,0.000028050361,0.0011361811],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99669254,0.00026994673,0.001714771,0.0005203447,0.0005325488,0.00026983666],"domain_scores_gemma":[0.99788064,0.00008868849,0.0010049358,0.0006318486,0.00017848678,0.00021540413],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007682363,0.00030325534,0.002113929,0.00040457628,0.000029455983,0.000003772917,0.00035835127,0.00012320111,0.006617612],"category_scores_gemma":[0.0004178086,0.00025085983,0.0003641372,0.0021087825,0.00009779586,0.00007668243,0.00014229528,0.00036927167,0.00015624861],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043617067,0.00006962083,0.00022801467,0.057818726,0.000035425,0.0000016343378,0.0003867489,6.5574847e-7,0.000021705118,0.000055330638,0.017820282,0.92351824],"study_design_scores_gemma":[0.00024441813,0.00043744917,0.00048180987,0.20803106,0.0002025815,0.0000032126925,0.00005529032,0.0000045991087,0.000023302262,0.000021327493,0.7903288,0.00016615423],"about_ca_topic_score_codex":0.0005982743,"about_ca_topic_score_gemma":0.00041379983,"teacher_disagreement_score":0.92335206,"about_ca_system_score_codex":0.0003797698,"about_ca_system_score_gemma":0.0007207348,"threshold_uncertainty_score":0.99999434},"labels":[],"label_agreement":null},{"id":"W4225088741","doi":"10.2196/31815","title":"The Acceptability of an Electronically Delivered Acceptance- and Mindfulness-Based Physical Activity Intervention for Survivors of Breast Cancer: One-Group Pretest-Posttest Design","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; University of Texas MD Anderson Cancer Center; National Institutes of Health; Center for Energy Balance in Cancer Prevention and Survivorship","keywords":"Mindfulness; Breast cancer; Intervention (counseling); Physical therapy; Psychology; Psychotherapist; Cancer; Clinical psychology; Medicine; Internal medicine; Psychiatry","score_opus":0.0214999415016058,"score_gpt":0.3261726667036086,"score_spread":0.30467272520200284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225088741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938141,0.00061947224,0.0018811824,0.00072417746,0.00022697856,0.001756718,0.0009205409,0.000030693434,0.000026139061],"genre_scores_gemma":[0.9952895,0.000022388018,0.00006620703,0.00006007244,0.00013779687,0.0043126703,0.000031803724,0.0000346245,0.000044954664],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9981918,0.00030588362,0.00029775777,0.0004311702,0.000440127,0.00033331307],"domain_scores_gemma":[0.9983816,0.00042839392,0.0003305942,0.0004487292,0.00030073442,0.00010992467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000515023,0.00019909046,0.0004788396,0.00005150727,0.00021233041,0.000018292194,0.00024245126,0.00006397424,0.00059870194],"category_scores_gemma":[0.000038206694,0.00016671843,0.00025738683,0.0003229794,0.00024143246,0.00014747704,0.00008723369,0.00028595686,9.466154e-8],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.019896632,0.0025939886,0.027472755,0.00088688196,0.00025537625,0.0000010791315,0.00082534517,0.00045279105,0.011477387,0.00014298726,0.0001439512,0.9358508],"study_design_scores_gemma":[0.006285684,0.0054083564,0.83483297,0.00014319723,0.0005213727,0.0000075860457,0.0011911961,0.013943491,0.13545462,0.0004821167,0.0012633912,0.00046599167],"about_ca_topic_score_codex":0.005249691,"about_ca_topic_score_gemma":0.020579658,"teacher_disagreement_score":0.9353848,"about_ca_system_score_codex":0.00046197744,"about_ca_system_score_gemma":0.00046530503,"threshold_uncertainty_score":0.9972922},"labels":[],"label_agreement":null},{"id":"W4225317088","doi":"10.2196/35033","title":"Patient and Provider Perspectives on Enrollment in Precision Oncology Research: Qualitative Ethical Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Dental and Craniofacial Research; National Center for Advancing Translational Sciences; National Human Genome Research Institute; American Head and Neck Society","keywords":"Oncology; Internal medicine; Precision oncology; Precision medicine; Qualitative research; Context (archaeology); Enthusiasm; Medicine; Psychology; Medical education; Cancer","score_opus":0.056997262223276855,"score_gpt":0.45677432671424234,"score_spread":0.3997770644909655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225317088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99294835,0.002480934,0.000023540792,0.0030482095,0.000072495866,0.00043068823,0.00010222602,0.000002690694,0.00089086284],"genre_scores_gemma":[0.9967713,0.00089764054,0.00009922735,0.000816299,0.00007211781,0.0011508518,0.000028932693,0.000010272392,0.00015336253],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983833,0.000553806,0.00016248247,0.0004303887,0.0002666775,0.00020338583],"domain_scores_gemma":[0.9993968,0.00020467378,0.000053248074,0.00019100968,0.00009267648,0.000061565384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067708845,0.000085535576,0.00015335108,0.00017876946,0.00013021177,0.000015284708,0.0000834394,0.00010477501,0.00013008852],"category_scores_gemma":[0.00016348979,0.0000820629,0.00005852371,0.00033086233,0.000104040766,0.0000013140174,0.00029056624,0.00043465197,0.0000011706011],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013105427,0.004133942,0.02026829,0.00009566391,0.002011058,0.00012719996,0.5713599,0.03800648,0.099751756,0.011627089,0.075997956,0.16351525],"study_design_scores_gemma":[0.0033183924,0.010749369,0.024169773,0.000029870022,0.00010440789,0.000004836055,0.19895811,0.00076836103,0.0087331915,0.0018916205,0.7506198,0.00065225776],"about_ca_topic_score_codex":0.0005144443,"about_ca_topic_score_gemma":0.0010628118,"teacher_disagreement_score":0.6746218,"about_ca_system_score_codex":0.00040881793,"about_ca_system_score_gemma":0.00024558004,"threshold_uncertainty_score":0.3346428},"labels":[],"label_agreement":null},{"id":"W4225698750","doi":"10.2196/37526","title":"A Multimethod Evaluation of Tobacco Treatment Trial Recruitment Messages for Current Smokers Recently Diagnosed With Cancer: Pilot Factorial Randomized Controlled Trial","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Randomized controlled trial; Medicine; Smoking cessation; Accrual; Clinical trial; Family medicine; Internal medicine; Pathology","score_opus":0.21999449362127915,"score_gpt":0.4739821725140522,"score_spread":0.25398767889277307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225698750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.916795,0.0013046219,0.00010940215,0.00031365652,0.0063095405,0.07486491,0.00019774257,0.000047261656,0.000057842324],"genre_scores_gemma":[0.7139507,0.00050558,0.00007037561,0.000023106015,0.0010779379,0.28394422,0.00018995132,0.000032295,0.00020582358],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9958492,0.0012195917,0.0008020982,0.00044100056,0.0014180403,0.0002700628],"domain_scores_gemma":[0.99742687,0.00095870486,0.00078111264,0.00028641126,0.00045207757,0.00009482862],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026871508,0.00029482698,0.0017014303,0.0001683976,0.00016429959,0.000020278283,0.000085370746,0.00006336512,0.0015467065],"category_scores_gemma":[0.00035113606,0.00019536354,0.0005330921,0.0002458251,0.000060674072,0.00005910388,0.000019521825,0.00016259155,1.8482265e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.89521396,0.0021809784,0.0016980551,0.00002241671,0.00086785003,9.877391e-7,0.0011517063,0.00041014017,0.00015770258,0.0000074311292,0.0008223764,0.097466394],"study_design_scores_gemma":[0.97736967,0.008325044,0.0008160703,0.000103941624,0.0064208494,3.9826105e-7,0.00018686616,0.00024001887,0.00089062005,0.000016265889,0.00542922,0.00020106912],"about_ca_topic_score_codex":0.0010012537,"about_ca_topic_score_gemma":0.00009565086,"teacher_disagreement_score":0.20907931,"about_ca_system_score_codex":0.0024350071,"about_ca_system_score_gemma":0.0014379919,"threshold_uncertainty_score":0.999366},"labels":[],"label_agreement":null},{"id":"W4225860173","doi":"10.2196/35930","title":"Understanding the Lived Experiences of Patients With Melanoma: Real-World Evidence Generated Through a European Social Media Listening Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Novartis Pharmaceuticals Corporation","keywords":"Social media; Melanoma; Active listening; Medicine; Psychology; World Wide Web; Computer science; Psychotherapist","score_opus":0.28276934770243606,"score_gpt":0.42169754349674954,"score_spread":0.13892819579431348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225860173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936589,0.00022805034,0.000056405548,0.001415196,0.0015620713,0.00075006956,0.000010660101,0.00004367292,0.0022749826],"genre_scores_gemma":[0.99703854,0.00009399442,0.00007056625,0.0001379738,0.00075280346,0.0018254282,0.000012923989,0.000014859845,0.000052910906],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99696493,0.0012330984,0.0002895616,0.00025495916,0.00095034204,0.00030712778],"domain_scores_gemma":[0.99787515,0.0013191317,0.00042914553,0.00013670594,0.00017641475,0.00006346493],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008595606,0.00010209312,0.00021846572,0.0001188997,0.0020803327,0.000050538372,0.00038616513,0.00002607994,0.00091135624],"category_scores_gemma":[0.00036913715,0.0000800397,0.000075196884,0.0031227989,0.00046740586,0.0002153879,0.00007168468,0.00018789546,0.0000011617858],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004987995,0.000034504606,0.1588003,0.0000074755894,0.00007091284,6.656182e-7,0.83939886,0.00008744296,0.0000034122784,0.00061251665,0.00047975566,0.00045423993],"study_design_scores_gemma":[0.00021956286,0.00004948269,0.3602234,0.000028708737,0.00018169075,2.01838e-8,0.6364281,0.00003811743,0.00000865184,0.00008890497,0.0025731942,0.00016014164],"about_ca_topic_score_codex":0.011691891,"about_ca_topic_score_gemma":0.021882428,"teacher_disagreement_score":0.20297077,"about_ca_system_score_codex":0.0012565173,"about_ca_system_score_gemma":0.0006276678,"threshold_uncertainty_score":0.9992188},"labels":[],"label_agreement":null},{"id":"W4229046581","doi":"10.2196/33594","title":"Evaluation of a Mobile Health App Offering Fertility Information to Male Patients With Cancer: Usability Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; McGill University; McGill University Health Centre; University of Toronto; Jewish General Hospital","funders":"Canadian Institutes of Health Research","keywords":"Usability; Fertility; Fertility preservation; Mobile apps; Computer science; Medicine; World Wide Web; Human–computer interaction; Environmental health; Population","score_opus":0.03400833433471902,"score_gpt":0.3684767943897606,"score_spread":0.3344684600550416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229046581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921651,0.00021083005,0.000016626125,0.00018157689,0.00017881101,0.006960794,0.00012222637,0.000023559645,0.0001404866],"genre_scores_gemma":[0.98923683,0.0000022467405,0.000021595748,0.00020033495,0.000024636867,0.01044451,0.000037781097,0.0000050506064,0.000027010874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99816054,0.00031906427,0.00034901552,0.00028428843,0.00072779745,0.00015931312],"domain_scores_gemma":[0.99865353,0.000012973518,0.0001737611,0.00042000436,0.0006648884,0.00007484219],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018762685,0.0000968144,0.00027733503,0.000059438375,0.00013817768,0.0000030343024,0.000069055546,0.000022062108,0.001067469],"category_scores_gemma":[0.000083146166,0.000077089106,0.000032097807,0.000297114,0.000046130266,0.00013419484,0.00007871768,0.0001507852,0.00000220508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0045207925,0.0009529729,0.88491666,0.0000927982,0.000057601268,5.3243838e-8,0.003437845,0.0013717271,0.000049824685,3.5617654e-7,0.00013694962,0.104462445],"study_design_scores_gemma":[0.0017771621,0.002668939,0.99248445,0.000016948754,0.000059743863,3.0576456e-7,0.0010126155,0.00020234089,0.0001249228,0.000006486759,0.0015792487,0.00006686486],"about_ca_topic_score_codex":0.0022375213,"about_ca_topic_score_gemma":0.00039570394,"teacher_disagreement_score":0.10756779,"about_ca_system_score_codex":0.0012375594,"about_ca_system_score_gemma":0.00083041564,"threshold_uncertainty_score":0.9998457},"labels":[],"label_agreement":null},{"id":"W4229374007","doi":"10.2196/36255","title":"Web-Based Psychological Interventions for People Living With and Beyond Cancer: Meta-Review of What Works and What Does Not for Maximizing Recruitment, Engagement, and Efficacy","year":2022,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"North West Cancer Research","keywords":"Psychological intervention; CINAHL; Psychosocial; PsycINFO; Distress; Medicine; Anxiety; MEDLINE; Intervention (counseling); Clinical psychology; Psychology; Nursing; Psychiatry","score_opus":0.2605333984226288,"score_gpt":0.4616729295345322,"score_spread":0.2011395311119034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229374007","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00020056966,0.9879812,0.00011656524,0.001222153,0.0006593082,0.009370878,0.00039787072,0.000035440695,0.000016041444],"genre_scores_gemma":[0.00014122904,0.94863963,0.00040759143,0.0013291357,0.00015227938,0.048895728,0.00015656087,0.0000818632,0.00019595395],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975978,0.0002474759,0.0007149264,0.0008332798,0.00026501933,0.00034148045],"domain_scores_gemma":[0.99745136,0.0012154366,0.00064206746,0.0004037268,0.000118360316,0.00016904404],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000913999,0.000521166,0.0028841188,0.0001880438,0.00019759894,0.00025574412,0.00014088688,0.0001668349,0.001015978],"category_scores_gemma":[0.00009121106,0.0003188357,0.0009183786,0.00027115905,0.00012161494,0.00042435422,0.00013808289,0.00043392845,1.1420832e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012353169,0.00009466265,0.00003273128,0.21408604,0.0013040581,0.0000012190488,0.00030182887,2.8412734e-7,5.5235995e-7,0.000011116058,0.00034063435,0.7837033],"study_design_scores_gemma":[0.0014411752,0.0005060802,0.000045279146,0.28441444,0.013616988,0.00001088708,0.0009174954,0.0000045169036,0.000001285315,0.0000032374264,0.6987438,0.00029483277],"about_ca_topic_score_codex":0.00006973694,"about_ca_topic_score_gemma":0.0023460418,"teacher_disagreement_score":0.7834085,"about_ca_system_score_codex":0.0001871654,"about_ca_system_score_gemma":0.00023045376,"threshold_uncertainty_score":0.9999264},"labels":[],"label_agreement":null},{"id":"W4241211657","doi":"10.2196/13984","title":"Awareness, knowledge, perceived benefits, and barriers regarding precision medicine and willingness to participate in a national registry: Comparison of cancer patients and the general population (Preprint)","year":2019,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Cancer registry; Precision medicine; Population; Cancer; Medicine; Family medicine; Psychology; Environmental health; Computer science; World Wide Web; Pathology; Internal medicine","score_opus":0.021689915419724756,"score_gpt":0.34919528509211545,"score_spread":0.3275053696723907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241211657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99314076,0.005836127,0.0000083299665,0.00030214098,0.00015303554,0.00045574148,0.00004383502,0.0000019622798,0.00005809995],"genre_scores_gemma":[0.9972275,0.0022554211,0.00003247436,0.00014115911,0.000106694046,0.00015648807,0.000030770254,0.0000103490665,0.00003918116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992389,0.000034012523,0.00022152626,0.0002800625,0.000112135574,0.00011334235],"domain_scores_gemma":[0.9995335,0.00004487446,0.00010231305,0.00011412192,0.00013629741,0.000068894966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016557773,0.000099963145,0.00020671969,0.000033472326,0.00005098226,0.000014379567,0.00006000705,0.00006661466,0.000011186704],"category_scores_gemma":[0.00013910729,0.000076353164,0.000016225787,0.000069620124,0.0000805915,0.000005658632,0.00011250665,0.000050258095,1.5985253e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003634952,0.000012818924,0.98235357,0.00004453903,0.000017976265,3.682059e-8,0.0011604871,0.0036394536,0.0055240663,0.0001557322,0.00031473773,0.006413111],"study_design_scores_gemma":[0.0026763764,0.000110136025,0.98712087,0.00022530968,0.000019429215,2.9976536e-7,0.00015546462,0.0048573334,0.0016970654,0.00009579306,0.002911994,0.00012994558],"about_ca_topic_score_codex":0.001908373,"about_ca_topic_score_gemma":0.0038447015,"teacher_disagreement_score":0.0062831654,"about_ca_system_score_codex":0.000043739095,"about_ca_system_score_gemma":0.000069640984,"threshold_uncertainty_score":0.31135917},"labels":[],"label_agreement":null},{"id":"W4280579006","doi":"10.2196/33859","title":"Making National Cancer Institute–Designated Comprehensive Cancer Center Knowledge Accessible to Community Oncologists via an Online Tumor Board: Longitudinal Observational Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; Hope Foundation; National Science Foundation","keywords":"Medicine; Family medicine; Medical education; Cancer; Community of practice; Oncology; Internal medicine; Psychology; Pedagogy","score_opus":0.6663388152019649,"score_gpt":0.5479764228679669,"score_spread":0.11836239233399803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280579006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99174184,0.0010549639,0.00011490037,0.0018247332,0.0014887836,0.0019968175,0.0010054659,0.00015174603,0.0006207562],"genre_scores_gemma":[0.9842159,0.000026856074,0.00046582735,0.009544715,0.0010186038,0.00382165,0.00034763358,0.00004924151,0.00050955365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99648386,0.00041721543,0.00060290063,0.0006339313,0.0012804986,0.0005815762],"domain_scores_gemma":[0.99749,0.000098220335,0.00029337168,0.00042427823,0.0014037553,0.00029038332],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000433944,0.00038738284,0.0006241576,0.00028377352,0.0011469376,0.00007403944,0.0006501697,0.00007299144,0.002791375],"category_scores_gemma":[0.00005236224,0.0003813258,0.00012743025,0.0012342159,0.00013640607,0.0006816029,0.00064640975,0.0011447022,0.000012798093],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002313526,0.0037810337,0.93030715,0.00013522348,0.0003871727,0.00015801414,0.0040435465,0.024694657,0.002009571,0.00007015892,0.02318928,0.00891066],"study_design_scores_gemma":[0.0031728856,0.0011171094,0.93991476,0.0003072007,0.00011774998,0.000036728983,0.002770847,0.0022863087,0.00007262312,0.000049388902,0.04971376,0.00044064366],"about_ca_topic_score_codex":0.022789322,"about_ca_topic_score_gemma":0.06737709,"teacher_disagreement_score":0.044587772,"about_ca_system_score_codex":0.0042347433,"about_ca_system_score_gemma":0.0024536892,"threshold_uncertainty_score":0.99986386},"labels":[],"label_agreement":null},{"id":"W4281291858","doi":"10.2196/37840","title":"Extracting Multiple Worries From Breast Cancer Patient Blogs Using Multilabel Classification With the Natural Language Processing Model Bidirectional Encoder Representations From Transformers: Infodemiology Study of Blogs","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mental Health via Writing","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Breast cancer; Computer science; Encoder; Social media; Classifier (UML); Concordance; Artificial intelligence; Worry; Psychology; Machine learning; Natural language processing; Medicine; Cancer; World Wide Web; Psychiatry; Internal medicine","score_opus":0.07196328323403142,"score_gpt":0.415168804549865,"score_spread":0.3432055213158336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281291858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936336,0.0024940693,0.00032861595,0.0005779853,0.00043496612,0.0012853256,0.001042504,0.000060714112,0.00014221344],"genre_scores_gemma":[0.9952066,0.000010123066,0.0008088513,0.00038831745,0.00016325395,0.003187364,0.00009976893,0.00004110906,0.00009459513],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99783075,0.00035194986,0.0005365512,0.000533017,0.0004009607,0.00034675898],"domain_scores_gemma":[0.998565,0.0004131732,0.00058077864,0.00025522787,0.00012842068,0.000057353544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018495506,0.00020273485,0.00027800235,0.00010411137,0.00075273536,0.000021315875,0.00018867811,0.000070520655,0.0008136687],"category_scores_gemma":[0.000014488953,0.00016109685,0.00004950507,0.000363421,0.000120351804,0.0002264096,0.00006242952,0.0006043539,0.000001291242],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017936521,0.0012758883,0.54237264,0.00005248517,0.00031239743,0.000010223124,0.28269142,0.042907014,0.02163755,0.000012341805,0.00026233002,0.10667204],"study_design_scores_gemma":[0.002639816,0.00011640474,0.287892,0.000106010266,0.00014452438,0.00001836646,0.3432435,0.36522526,0.00017297412,0.0000116056335,0.00013374767,0.00029577126],"about_ca_topic_score_codex":0.059465855,"about_ca_topic_score_gemma":0.011615219,"teacher_disagreement_score":0.32231823,"about_ca_system_score_codex":0.00046489923,"about_ca_system_score_gemma":0.00025149793,"threshold_uncertainty_score":0.94679725},"labels":[],"label_agreement":null},{"id":"W4281672421","doi":"10.2196/33304","title":"Development of a Web-Based Decision Aid and Planning Tool for Family Building After Cancer (Roadmap to Parenthood): Usability Testing","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Usability; eHealth; System usability scale; Population; Web usability; Psychology; Scale (ratio); Applied psychology; Medicine; Medical education; Computer science; Human–computer interaction; Health care","score_opus":0.05796475508100839,"score_gpt":0.37079236172952085,"score_spread":0.31282760664851245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281672421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953708,0.0013685577,0.0015073585,0.00020631381,0.00028006607,0.0011404534,0.000076791286,0.000027506978,0.0000221526],"genre_scores_gemma":[0.9565938,0.0000020397713,0.036612537,0.0005495086,0.00011337836,0.0060859225,0.0000050295703,0.00001261569,0.000025169771],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987157,0.000040043196,0.00033237677,0.00050059066,0.00018587025,0.00022542149],"domain_scores_gemma":[0.99926084,0.00018204021,0.00008927163,0.0002320835,0.00015964528,0.00007612048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058103335,0.00012970676,0.00028193547,0.00007121916,0.00017834261,0.000004898941,0.00006667748,0.000045789995,0.00012142025],"category_scores_gemma":[0.00036740617,0.000111378795,0.000046199355,0.00020280207,0.000054613844,0.000032912296,0.00011448953,0.0001395627,3.4142434e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009298038,0.00010829247,0.83620846,0.00019370185,0.00003540229,0.000002553944,0.00089230953,0.00035398809,0.05608256,0.000001107007,0.00039382547,0.09642976],"study_design_scores_gemma":[0.0013629255,0.00018049854,0.9593294,0.00021339761,0.000029147308,0.0000013698257,0.0001804605,0.0004009027,0.0077030864,0.00003264103,0.030432224,0.00013392497],"about_ca_topic_score_codex":0.00004596685,"about_ca_topic_score_gemma":0.00002052461,"teacher_disagreement_score":0.12312096,"about_ca_system_score_codex":0.00033227992,"about_ca_system_score_gemma":0.00053310883,"threshold_uncertainty_score":0.45418957},"labels":[],"label_agreement":null},{"id":"W4281689039","doi":"10.2196/37212","title":"Characteristics of Users of the Cook for Your Life Website, an Online Nutrition Resource for Persons Affected by Cancer: Descriptive Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Medicine; Cancer; Gerontology; Descriptive statistics; Public health; Family medicine; Demography; Nursing; Internal medicine; Sociology","score_opus":0.12024171510288532,"score_gpt":0.4675862444525391,"score_spread":0.34734452934965376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281689039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.963365,0.00015846158,0.00018689512,0.0010512958,0.0005347451,0.00853738,0.026096702,0.000031503707,0.000038009966],"genre_scores_gemma":[0.97993165,0.00003152045,0.0001880123,0.0031143702,0.00025449315,0.014863669,0.0006186326,0.000025044164,0.0009726148],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99763066,0.000584954,0.0010091235,0.0002062867,0.0002623986,0.0003065522],"domain_scores_gemma":[0.99767596,0.0002690785,0.0011225594,0.00032240312,0.0004965574,0.000113431895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008251467,0.00012516454,0.00035381035,0.000068837595,0.00094742613,0.000005976804,0.00027592498,0.00008034014,0.00043651462],"category_scores_gemma":[0.00022334668,0.00009922547,0.00009106168,0.0003090556,0.00005109648,0.0002790991,0.00008814775,0.00038575954,3.4799822e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0055805924,0.0055377595,0.50162816,0.0071860785,0.00015683364,1.1861934e-7,0.15035534,0.00006913782,0.0018135749,0.00010684843,0.31927556,0.008289984],"study_design_scores_gemma":[0.0053134435,0.0011064754,0.4440332,0.00033452432,0.00008625616,1.1349218e-7,0.08156084,0.0054574846,0.000106237414,0.000017507044,0.46178374,0.00020017802],"about_ca_topic_score_codex":0.0011028623,"about_ca_topic_score_gemma":0.00054342,"teacher_disagreement_score":0.14250818,"about_ca_system_score_codex":0.00051470794,"about_ca_system_score_gemma":0.00091357157,"threshold_uncertainty_score":0.7286931},"labels":[],"label_agreement":null},{"id":"W4281694540","doi":"10.2196/34828","title":"Identifying Themes for Assessing Cancer-Related Cognitive Impairment: Topic Modeling and Qualitative Content Analysis of Public Online Comments","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer-related cognitive impairment studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Nursing Research; National Cancer Institute","keywords":"Content analysis; Cognition; Qualitative analysis; Cognitive impairment; Psychology; Qualitative research; Computer science; Data science; Applied psychology; Sociology; Social science; Psychiatry","score_opus":0.24889533189082166,"score_gpt":0.4758027127680187,"score_spread":0.22690738087719706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281694540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850774,0.006634695,0.0012997697,0.0030907756,0.00029273104,0.002047042,0.0013830202,0.000077104836,0.000097453325],"genre_scores_gemma":[0.9945744,0.0007429838,0.00019536882,0.00078042055,0.00006512232,0.0028534154,0.00034142108,0.00003835403,0.00040847796],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9976616,0.00023094639,0.0006721597,0.00049584283,0.0005146522,0.00042481488],"domain_scores_gemma":[0.99820554,0.00037547827,0.00045785445,0.00015211743,0.0006848981,0.00012411996],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048762021,0.00026714767,0.0008338111,0.0006077904,0.0004630513,0.00004056291,0.000094171046,0.000061813145,0.00039652397],"category_scores_gemma":[0.00009941932,0.00025415616,0.00030262704,0.0011517435,0.00012916094,0.00022796188,0.00021901447,0.00032168895,2.749002e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027664814,0.0062665027,0.43616015,0.002461821,0.10399477,0.00004113431,0.34952322,0.004308297,0.0052547213,0.0006822916,0.0014821957,0.08705842],"study_design_scores_gemma":[0.026153592,0.0017642454,0.19809873,0.0019160742,0.024259957,0.000012948953,0.5144154,0.22980376,0.000777379,0.00081841316,0.0007965277,0.0011830002],"about_ca_topic_score_codex":0.0010598203,"about_ca_topic_score_gemma":0.0004486254,"teacher_disagreement_score":0.23806141,"about_ca_system_score_codex":0.00087197864,"about_ca_system_score_gemma":0.00025648088,"threshold_uncertainty_score":0.99999106},"labels":[],"label_agreement":null},{"id":"W4281753467","doi":"10.2196/35500","title":"Convenient Access to Expert-Reviewed Health Information via an Alexa Voice Assistant Skill for Patients With Multiple Myeloma: Development Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"AI in Service Interactions","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"German; Multiple myeloma; Medicine; Computer science; Medical education; Internal medicine","score_opus":0.02896264321049355,"score_gpt":0.35518614016273786,"score_spread":0.3262234969522443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281753467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7808145,0.000097067335,0.20423426,0.0034005442,0.0019120821,0.009149918,0.00010975788,0.00023970054,0.000042122094],"genre_scores_gemma":[0.95991653,0.0000034953407,0.015456102,0.0085696755,0.000044017695,0.015869966,0.0000761929,0.000017769293,0.000046249184],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998135,0.000102420934,0.00048090494,0.00036492792,0.0005891508,0.00032762444],"domain_scores_gemma":[0.9985525,0.00006084567,0.00033423895,0.0005035365,0.00036586833,0.00018299466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024195273,0.00017631584,0.00022151503,0.00014350815,0.0005989021,0.00020750507,0.0009981326,0.000015661279,0.00006627281],"category_scores_gemma":[0.00001341894,0.00015350063,0.000031564137,0.0005206043,0.000007701377,0.002027746,0.00054673693,0.0001207489,0.000018263676],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006402845,0.0052623465,0.134477,0.0002713644,0.00020408102,0.0000029401638,0.23365366,0.0051585366,0.000020151965,0.00009249262,0.029989427,0.5902277],"study_design_scores_gemma":[0.0019976837,0.0014720196,0.43176192,0.0000654949,0.0000055031765,0.0000014581533,0.0021332416,0.0076568527,0.000068289744,0.000005608846,0.5544388,0.00039308742],"about_ca_topic_score_codex":0.0006333473,"about_ca_topic_score_gemma":0.0024137273,"teacher_disagreement_score":0.58983463,"about_ca_system_score_codex":0.0011768738,"about_ca_system_score_gemma":0.00042021155,"threshold_uncertainty_score":0.62595737},"labels":[],"label_agreement":null},{"id":"W4281831542","doi":"10.2196/36244","title":"Exploring Urological Malignancies on Pinterest: Content Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Prostate cancer; Grading (engineering); Malignancy; Genitourinary system; Kidney cancer; Cancer; Internal medicine","score_opus":0.6611409051432489,"score_gpt":0.4726731760215377,"score_spread":0.18846772912171117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281831542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795249,0.0001989588,0.000005031702,0.013596716,0.0043802173,0.0006071201,0.000011786543,0.00008279254,0.0015924892],"genre_scores_gemma":[0.98171353,0.000199244,0.000016888716,0.0013206279,0.0008200315,0.01565616,0.0000036538802,0.0000067526985,0.00026312342],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854296,0.0003082389,0.00015769097,0.0002105936,0.00048400887,0.00029648887],"domain_scores_gemma":[0.99916935,0.00044950287,0.000090488924,0.00012120665,0.00005830154,0.00011117201],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004248284,0.000064808424,0.00014885502,0.00013412177,0.0007746347,0.000024753788,0.00019951208,0.000028102444,0.0026916978],"category_scores_gemma":[0.00036623218,0.0000649703,0.00009754244,0.0009341649,0.00009878772,0.00009404773,0.000044566845,0.00018837173,0.000023231527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019208678,0.0004036937,0.68254924,0.00002270393,0.0002637176,0.000012860603,0.2156024,0.0010409026,0.0001503269,0.03771322,0.005207002,0.05684187],"study_design_scores_gemma":[0.000120915516,0.000120435696,0.5870989,0.000007012732,0.000058810583,8.462661e-8,0.024171073,0.000018428202,0.0000301369,0.00015240455,0.38809168,0.00013013303],"about_ca_topic_score_codex":0.010784622,"about_ca_topic_score_gemma":0.0026309048,"teacher_disagreement_score":0.38288468,"about_ca_system_score_codex":0.0008049459,"about_ca_system_score_gemma":0.00022831577,"threshold_uncertainty_score":0.99821997},"labels":[],"label_agreement":null},{"id":"W4281878916","doi":"10.2196/36258","title":"Optimizing Social Support in Oncology with Digital Platforms","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Social support; Coping (psychology); Medicine; Nursing; Psychology; Psychiatry; Psychotherapist","score_opus":0.023096786417244504,"score_gpt":0.32385589181919744,"score_spread":0.30075910540195294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281878916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.964691,0.00014698277,0.000012510427,0.0015441704,0.00035005467,0.0003432018,0.00007241573,0.000048839785,0.032790866],"genre_scores_gemma":[0.9946971,0.000009586682,0.000017686785,0.0013978266,0.00025252995,0.00078398985,0.00005291623,0.000022205066,0.0027661745],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991912,0.000004691417,0.00012827474,0.00018464736,0.00025376093,0.00023739552],"domain_scores_gemma":[0.9997666,0.000013289479,0.000047805654,0.00008928434,0.000025199837,0.00005785592],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006479091,0.00009040077,0.00021556218,0.000081186394,0.00008804407,0.000011226224,0.00006505258,0.00004245886,0.0022809762],"category_scores_gemma":[0.0000018556208,0.000075791046,0.000051641786,0.00025839146,0.000041600597,0.0000890234,0.00006816594,0.0003091092,0.0000065555155],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01120968,0.0011754227,0.41589698,0.00032843984,0.00032355005,0.0026995495,0.11253911,0.0009065521,0.00059798575,0.0013722004,0.054714687,0.39823583],"study_design_scores_gemma":[0.004701213,0.0016465692,0.022895195,0.00003201606,0.000038590657,0.00015628643,0.015509552,0.00006378509,0.000120026605,0.00011469043,0.95440805,0.00031404287],"about_ca_topic_score_codex":0.00036866555,"about_ca_topic_score_gemma":0.0028728282,"teacher_disagreement_score":0.89969337,"about_ca_system_score_codex":0.00081127393,"about_ca_system_score_gemma":0.0005478128,"threshold_uncertainty_score":0.99863106},"labels":[],"label_agreement":null},{"id":"W4282914463","doi":"10.2196/37093","title":"eHealth Interventions for Dutch Cancer Care: Systematic Review Using the Triple Aim Lens","year":2022,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"eHealth; Psychological intervention; Health care; Medicine; Population; Gerontology; Nursing; Environmental health; Family medicine; Political science","score_opus":0.22617434926779803,"score_gpt":0.49955266343158117,"score_spread":0.2733783141637831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282914463","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[4.7509536e-7,0.97552735,0.000050932787,0.00069158897,0.0034310888,0.018479204,0.0014979301,0.00006992134,0.00025151033],"genre_scores_gemma":[0.0000034755271,0.93016684,0.000010173208,0.0020174675,0.00087176944,0.06293134,0.00032502788,0.00015205717,0.0035218413],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99639946,0.00046490738,0.0014475735,0.00061142456,0.00056633714,0.0005102969],"domain_scores_gemma":[0.997156,0.00026294848,0.0011060955,0.0010871865,0.00024719766,0.00014053227],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006744672,0.0005475787,0.0040469193,0.00016574652,0.00038495843,0.000040222712,0.00044833793,0.0001870977,0.002325418],"category_scores_gemma":[0.00011778161,0.00034455612,0.0030419372,0.0008785802,0.00005720702,0.0000624915,0.00013470431,0.00076092134,0.000009001219],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010214827,0.000028399949,0.0000021930243,0.8914483,0.00048821614,0.0000042799998,0.0004494891,6.185897e-7,2.0774577e-8,0.00003383408,0.011166301,0.09636811],"study_design_scores_gemma":[0.00017636655,0.000052006566,2.965741e-7,0.45669866,0.008988838,0.000027321299,0.00026954478,0.0000028856514,4.1526306e-8,0.000001156836,0.53359926,0.00018360002],"about_ca_topic_score_codex":0.0030144851,"about_ca_topic_score_gemma":0.007294275,"teacher_disagreement_score":0.522433,"about_ca_system_score_codex":0.003321273,"about_ca_system_score_gemma":0.0027858587,"threshold_uncertainty_score":0.99990064},"labels":[],"label_agreement":null},{"id":"W4282941457","doi":"10.2196/34183","title":"Timing and Motivations for Alternative Cancer Therapy With Insights From a Crowdfunding Platform: Cross-sectional Mixed Methods Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Complementary and Alternative Medicine Studies","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Utah","keywords":"Cancer therapy; Medicine; Alternative medicine; Cancer; Family medicine; Internal medicine; Pathology","score_opus":0.17620653382821225,"score_gpt":0.4919813993736992,"score_spread":0.31577486554548695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282941457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99175245,0.0013671896,0.004050633,0.00022252293,0.0006057914,0.0016443724,0.00022222789,0.000030503594,0.00010430724],"genre_scores_gemma":[0.9904987,0.00008629643,0.002052919,0.00026911596,0.00073463714,0.0057387846,0.00004901399,0.000023939803,0.00054654205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888396,0.00006217478,0.00021546897,0.00036662407,0.0002993079,0.00017247094],"domain_scores_gemma":[0.999224,0.00035023614,0.00012792558,0.00010959118,0.00012871175,0.000059506023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014496037,0.00016646358,0.000281318,0.00012060882,0.00072217855,0.000024258852,0.00007299957,0.000007322664,0.00072314846],"category_scores_gemma":[0.000015696038,0.000120961115,0.000045505898,0.000185298,0.0000876574,0.00011679097,0.00010684194,0.00019550952,1.8332155e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012001793,0.00027759548,0.9725488,0.000017688904,0.0011525746,0.000007699344,0.010275213,0.00059335685,0.0011519867,0.00012405048,0.00024569812,0.01240517],"study_design_scores_gemma":[0.0073414543,0.0015950595,0.96417266,0.000046328365,0.00007873039,0.000004395478,0.0078030317,0.0012914179,0.0010147009,0.00038230018,0.016106144,0.00016376418],"about_ca_topic_score_codex":0.0023039503,"about_ca_topic_score_gemma":0.0004929092,"teacher_disagreement_score":0.015860446,"about_ca_system_score_codex":0.0002632839,"about_ca_system_score_gemma":0.00008797113,"threshold_uncertainty_score":0.79179686},"labels":[],"label_agreement":null},{"id":"W4282961100","doi":"10.2196/39180","title":"News Coverage of Colorectal Cancer on Google News: Descriptive Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Colorectal cancer; Descriptive statistics; Medicine; Content analysis; Disease; Cancer; Internal medicine; Sociology; Statistics","score_opus":0.025941070525048095,"score_gpt":0.3309438117286465,"score_spread":0.30500274120359844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282961100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98774827,0.00087040087,0.00000587606,0.00042147047,0.00068596244,0.0019380468,0.0018244741,0.00008752318,0.0064180032],"genre_scores_gemma":[0.9935504,0.0001912162,0.00001978375,0.0012542345,0.00019787534,0.0028081732,0.00008721083,0.000047086494,0.0018440259],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981173,0.00015523714,0.00031193552,0.0004619272,0.00065010577,0.0003034694],"domain_scores_gemma":[0.9990479,0.00005318865,0.00019848575,0.00043205367,0.00010837566,0.00015999457],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010799477,0.00020691712,0.00049350585,0.00011286276,0.00011529273,0.0000109948405,0.00020358538,0.000033094642,0.005595953],"category_scores_gemma":[0.000038361264,0.00019379168,0.00012837605,0.00044896148,0.00006550305,0.000077674595,0.00018934303,0.00030608472,0.000029937713],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0059811617,0.0029463477,0.8530338,0.00011499018,0.0005652725,0.00023772131,0.0053118807,0.0017068211,0.003747568,0.000041790692,0.08470332,0.041609373],"study_design_scores_gemma":[0.0071109664,0.0031753024,0.82395506,0.000103055216,0.00018915349,0.0000077734885,0.006354414,0.00026231344,0.00077976735,0.00002675566,0.15763423,0.00040120172],"about_ca_topic_score_codex":0.0054639103,"about_ca_topic_score_gemma":0.0045746807,"teacher_disagreement_score":0.07293091,"about_ca_system_score_codex":0.0009720214,"about_ca_system_score_gemma":0.0005387448,"threshold_uncertainty_score":0.99531305},"labels":[],"label_agreement":null},{"id":"W4283164534","doi":"10.2196/39003","title":"Exploring the Association of Cancer and Depression in Electronic Health Records: Combining Encoded Diagnosis and Mining Free-Text Clinical Notes","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Instituto de Salud Carlos III; Generalitat de Catalunya; Agència de Gestió d'Ajuts Universitaris i de Recerca; European Regional Development Fund; Horizon 2020 Framework Programme; European Commission","keywords":"Breast cancer; Depression (economics); Cancer; Colorectal cancer; Medicine; Medical diagnosis; Diagnosis code; Internal medicine; Psychiatry; Oncology; Pathology; Population","score_opus":0.07866063793196289,"score_gpt":0.37788725064595496,"score_spread":0.2992266127139921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283164534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97654027,0.017887771,0.0000021183516,0.004484217,0.0005983948,0.00039080367,0.000029510427,0.000016471602,0.000050460596],"genre_scores_gemma":[0.9729698,0.02352964,0.000013164507,0.00092894415,0.00018395315,0.0022816474,0.000005149294,0.000017762914,0.00006994404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986406,0.00019513052,0.00035265388,0.00025943224,0.0002795483,0.00027266028],"domain_scores_gemma":[0.9988259,0.00064031297,0.00025300306,0.0001711904,0.00004394728,0.000065644876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008536882,0.000098086086,0.00033497292,0.00007234997,0.00014520409,0.000010625547,0.00007557887,0.000037915266,0.000083050516],"category_scores_gemma":[0.00016782354,0.000081394595,0.000048627615,0.0002652312,0.000030410823,0.0000819872,0.00014184458,0.0004256725,9.8953024e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014649543,0.00004080311,0.853097,0.00007170861,0.00003462982,0.0000010763998,0.0054475595,0.000027690221,0.000029102519,0.000010184043,0.00071196177,0.14038174],"study_design_scores_gemma":[0.0020750288,0.00033070767,0.9794492,0.00044347192,0.000049685757,0.0000016981783,0.004181037,0.00022781055,0.00025269997,0.000037775764,0.012831935,0.00011893476],"about_ca_topic_score_codex":0.014465183,"about_ca_topic_score_gemma":0.060942844,"teacher_disagreement_score":0.14026281,"about_ca_system_score_codex":0.0006025484,"about_ca_system_score_gemma":0.00030646703,"threshold_uncertainty_score":0.99209756},"labels":[],"label_agreement":null},{"id":"W4283316665","doi":"10.2196/37141","title":"Using Shopping Data to Improve the Diagnosis of Ovarian Cancer: Computational Analysis of a Web-Based Survey","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Ovarian function and disorders","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; University of Nottingham; UK Research and Innovation","keywords":"Logistic regression; Medicine; Ovarian cancer; Health care; Family medicine; Population; Odds; Odds ratio; Cancer; Environmental health; Internal medicine","score_opus":0.12333926611311845,"score_gpt":0.38942502569196324,"score_spread":0.2660857595788448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283316665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981257,0.00051829894,0.0043222927,0.0060602655,0.0005281411,0.00094306754,0.0061063576,0.000027812906,0.00023676555],"genre_scores_gemma":[0.99636555,0.000010968075,0.0004184884,0.0024416316,0.00004166139,0.0002808834,0.00037301806,0.000012251045,0.00005557706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884653,0.00012276629,0.00027087997,0.00025313604,0.00038376145,0.00012291143],"domain_scores_gemma":[0.9989579,0.00020205355,0.00016833111,0.0004522838,0.00016036036,0.000059071215],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00044470862,0.00008328253,0.00029289146,0.0002680172,0.0001041789,0.0000074201303,0.00019286919,0.000021625265,0.0034183105],"category_scores_gemma":[0.000080481936,0.00006870622,0.00009351908,0.0018465383,0.000043657386,0.000035485893,0.00013887101,0.00010594304,5.4067533e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004323729,0.00016271211,0.6620574,0.000043188866,0.0009874088,0.0000010646246,0.0002099573,0.3246787,0.00075602165,0.000032096246,0.006879749,0.003759329],"study_design_scores_gemma":[0.0013905056,0.000069817805,0.6450801,0.000024011917,0.0008506957,2.843068e-7,0.00025727612,0.34466788,0.000045997756,0.0000031850038,0.0075259684,0.00008431305],"about_ca_topic_score_codex":0.011010936,"about_ca_topic_score_gemma":0.0037430313,"teacher_disagreement_score":0.019989176,"about_ca_system_score_codex":0.0001504528,"about_ca_system_score_gemma":0.000792919,"threshold_uncertainty_score":0.9974927},"labels":[],"label_agreement":null},{"id":"W4283317672","doi":"10.2196/35324","title":"An Examination of Patients and Caregivers on Reddit Navigating Brain Cancer: Content Analysis of the Brain Tumor Subreddit","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences","keywords":"Brain tumor; Brain cancer; Cancer; Psychology; Medicine; Oncology; Internal medicine; Pathology","score_opus":0.06811118237043093,"score_gpt":0.3994125824236747,"score_spread":0.3313014000532438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283317672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991699,0.00010966572,4.1480874e-7,0.0053182947,0.001476525,0.0009824157,0.00028503264,0.0000111275,0.000117570955],"genre_scores_gemma":[0.99775195,0.000025063708,0.000006300008,0.0005007846,0.0001464051,0.0014861549,0.000027005652,0.000007856818,0.00004845495],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980498,0.0006739332,0.0002447481,0.0001972011,0.00066566543,0.00016865898],"domain_scores_gemma":[0.9982936,0.00078623707,0.0004806055,0.00014748362,0.00022192544,0.000070175774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000680162,0.00006864024,0.0001896729,0.000093000795,0.0004858393,0.000010246488,0.00020805812,0.00003390909,0.00033343973],"category_scores_gemma":[0.00068505155,0.00006463062,0.00006155039,0.0013096447,0.00020796125,0.00009518326,0.000034054403,0.00015507417,1.0466777e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043606105,0.00015145671,0.6459789,0.000048071568,0.00010270439,1.8748919e-7,0.23892857,0.0006471107,0.00033751328,0.0005166977,0.0015290234,0.11171614],"study_design_scores_gemma":[0.00023755981,0.00009837686,0.9608241,0.0000368841,0.00007501541,1.0126177e-8,0.034198496,0.00017633765,0.00014429525,0.00001588822,0.004121466,0.00007157904],"about_ca_topic_score_codex":0.057174798,"about_ca_topic_score_gemma":0.016702617,"teacher_disagreement_score":0.31484517,"about_ca_system_score_codex":0.00090571825,"about_ca_system_score_gemma":0.0003947713,"threshold_uncertainty_score":0.94910353},"labels":[],"label_agreement":null},{"id":"W4283391751","doi":"10.2196/35694","title":"Self-monitoring of Physical Activity After Hospital Discharge in Patients Who Have Undergone Gastrointestinal or Lung Cancer Surgery: Mixed Methods Feasibility Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Usability; System usability scale; Ankle; Hyperthermic intraperitoneal chemotherapy; Lung cancer; Physical therapy; Surgery; Cancer; Oncology; Internal medicine; Computer science; Cytoreductive surgery","score_opus":0.02794560370588798,"score_gpt":0.3840716887315876,"score_spread":0.3561260850256996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283391751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966423,0.00019609267,0.00004104108,0.00016122487,0.00092063076,0.001763905,0.00019302197,0.000046715406,0.000035106314],"genre_scores_gemma":[0.9957007,0.000010949787,0.0001383731,0.000024465142,0.00033811136,0.0034695389,0.000007883049,0.000048200178,0.0002617396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99742985,0.00050685124,0.00032130606,0.00059523754,0.0006989463,0.00044778947],"domain_scores_gemma":[0.99877286,0.00025257783,0.00021891225,0.00043046955,0.00016989857,0.0001552974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046699835,0.00028373356,0.00078606966,0.00014435785,0.00009063165,0.000014007786,0.00012871514,0.000035107856,0.00035181319],"category_scores_gemma":[0.00006795227,0.0002442884,0.00023005182,0.00052576535,0.000053836367,0.00015652434,0.00024790925,0.0005498989,4.4123342e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003754142,0.005080938,0.97833467,0.00036862036,0.00011193231,0.000028973958,0.0054522394,0.000018017432,0.00010164851,8.0198487e-7,0.00016115073,0.0065868697],"study_design_scores_gemma":[0.0020712463,0.0009357811,0.99246633,0.00025566225,0.00013553507,0.0000016152355,0.0027345957,0.00042775425,0.0006187681,0.0000023022374,0.00010622194,0.00024418737],"about_ca_topic_score_codex":0.0038102453,"about_ca_topic_score_gemma":0.003380352,"teacher_disagreement_score":0.014131664,"about_ca_system_score_codex":0.0017179092,"about_ca_system_score_gemma":0.00054455077,"threshold_uncertainty_score":0.9961792},"labels":[],"label_agreement":null},{"id":"W4283791328","doi":"10.2196/36889","title":"Feasibility and Acceptability of an Active Video Game–Based Physical Activity Support Group (Pink Warrior) for Survivors of Breast Cancer: Randomized Controlled Pilot Trial","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Cancer Institute; National Institute on Aging","keywords":"Breast cancer; Physical therapy; Medicine; Attendance; Survivorship curve; Randomized controlled trial; Intervention (counseling); Coaching; Cancer survivor; Cancer; Psychology; Nursing; Internal medicine; Psychotherapist","score_opus":0.028876526789011404,"score_gpt":0.3498010564013299,"score_spread":0.3209245296123185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283791328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829403,0.00018703382,0.00009487988,0.0005568971,0.0008192246,0.01171042,0.0035217544,0.000051609575,0.00011783894],"genre_scores_gemma":[0.98527366,0.000035193298,0.000020443393,0.00013432871,0.00041469716,0.013944424,0.000067675064,0.00004459054,0.00006496528],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9964942,0.0009878636,0.0006607188,0.0007357423,0.00073775934,0.0003837208],"domain_scores_gemma":[0.9968779,0.0011497241,0.00071705825,0.0006154727,0.00039846124,0.00024139625],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016940485,0.0003554502,0.0030943654,0.0001279207,0.00012369598,0.000012995054,0.00018974674,0.00008940894,0.0020394276],"category_scores_gemma":[0.00019678488,0.0002888508,0.00091485574,0.0003345792,0.0004955298,0.00018972042,0.000098663324,0.00037270828,1.291365e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9573667,0.003422782,0.006388343,0.0005431788,0.00043107333,0.0000015645033,0.0015893513,0.000036376838,0.0042275307,0.000024751393,0.00004483781,0.025923505],"study_design_scores_gemma":[0.9068518,0.0038154607,0.07958522,0.000035685967,0.0009955325,0.0000030523147,0.0007543006,0.0023056609,0.004891121,0.0001456941,0.00029452782,0.00032194075],"about_ca_topic_score_codex":0.015630074,"about_ca_topic_score_gemma":0.01296226,"teacher_disagreement_score":0.07319687,"about_ca_system_score_codex":0.0006692788,"about_ca_system_score_gemma":0.001119854,"threshold_uncertainty_score":0.99995637},"labels":[],"label_agreement":null},{"id":"W4283798622","doi":"10.2196/36879","title":"Deploying the Behavioral and Environmental Sensing and Intervention for Cancer Smart Health System to Support Patients and Family Caregivers in Managing Pain: Feasibility and Acceptability Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Pain Management and Opioid Use","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Nursing Research; University of Pennsylvania; National Institutes of Health; American Cancer Society","keywords":"Context (archaeology); Dyad; Medicine; Intervention (counseling); Telemedicine; Family caregivers; Cancer pain; Cancer; Health care; Physical therapy; Psychology; Nursing","score_opus":0.03587863027452433,"score_gpt":0.33957382211395903,"score_spread":0.3036951918394347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283798622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948862,0.0007634766,0.00003240231,0.00042218572,0.00010020277,0.0037150884,0.00005863309,0.00001725003,0.0000045187494],"genre_scores_gemma":[0.9989637,0.00007364759,0.00003913536,0.00040591642,0.000017794206,0.00044408438,0.000015101723,0.00001333704,0.00002725298],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988575,0.00021647713,0.00020474268,0.00036853587,0.00016499772,0.00018774772],"domain_scores_gemma":[0.9996683,0.000037778394,0.00007223792,0.00012737024,0.0000093422295,0.00008496338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010273795,0.00011344866,0.00021141685,0.000068851325,0.00025999738,0.000029263332,0.00003168352,0.0000149682855,0.000010405178],"category_scores_gemma":[0.000007156317,0.00009827326,0.00002354057,0.000069073336,0.0000483601,0.00006808412,0.00021395402,0.00010812274,3.1934277e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021619447,0.00011452889,0.8655273,0.0003448755,0.000016889897,0.0000029888915,0.007013012,0.000004362605,0.000010538462,4.8795005e-7,0.00012488592,0.12662393],"study_design_scores_gemma":[0.0024814333,0.0007001022,0.9325762,0.000062304076,0.00005290224,5.8082395e-7,0.06229343,0.0010657214,0.0000011485155,0.0000021058368,0.00067920325,0.00008487924],"about_ca_topic_score_codex":0.0051149796,"about_ca_topic_score_gemma":0.0044294535,"teacher_disagreement_score":0.12653905,"about_ca_system_score_codex":0.00070645503,"about_ca_system_score_gemma":0.000020787591,"threshold_uncertainty_score":0.77323526},"labels":[],"label_agreement":null},{"id":"W4283818887","doi":"10.2196/38722","title":"Improving Clinical and Family Communication for Adult Child Caregivers of a Parent With a Blood Cancer: Single-Arm Pre-Post Pilot Intervention","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Family Support in Illness","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Cancer Institute","keywords":"Intervention (counseling); Medicine; Family caregivers; Rating scale; Blood cancer; Scale (ratio); Family medicine; Cancer; Nursing; Psychology; Developmental psychology","score_opus":0.03923453130862018,"score_gpt":0.351378778680314,"score_spread":0.3121442473716938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283818887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945953,0.0013381098,0.00006734339,0.0012445876,0.00040785843,0.0013006972,0.00029859296,0.000044509758,0.0007030035],"genre_scores_gemma":[0.99662757,0.0004091055,0.0002038998,0.00031272403,0.00009550807,0.0021306921,0.000029413071,0.000019348538,0.00017171867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985868,0.00023930508,0.00034067317,0.00027748785,0.00033593702,0.00021982595],"domain_scores_gemma":[0.998813,0.00013758511,0.00038244433,0.00024348579,0.00034877428,0.00007473897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050462224,0.00010584453,0.00021647247,0.000054762393,0.00059736246,0.000034610694,0.00031329057,0.000044993965,0.00008415173],"category_scores_gemma":[0.000086784465,0.00010365255,0.00008521244,0.00019832246,0.00038804385,0.00016126972,0.00015955472,0.00020065308,1.405433e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004588211,0.005425115,0.52032197,0.0009620491,0.0006615114,0.000005446761,0.10405507,0.00041902994,0.0012562235,0.0047506858,0.0040774904,0.35347718],"study_design_scores_gemma":[0.026264146,0.021958971,0.4337947,0.0027582026,0.0014353644,0.000009971701,0.3954545,0.0017316586,0.00080302375,0.0006294674,0.11301117,0.0021488182],"about_ca_topic_score_codex":0.06587915,"about_ca_topic_score_gemma":0.06869162,"teacher_disagreement_score":0.35132834,"about_ca_system_score_codex":0.00021588478,"about_ca_system_score_gemma":0.00028730594,"threshold_uncertainty_score":0.9483023},"labels":[],"label_agreement":null},{"id":"W4284697097","doi":"10.2196/32370","title":"Public Policies and Programs for the Prevention and Control of Breast Cancer in Latin American Women: Scoping Review","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"CINAHL; Latin Americans; Scopus; Breast cancer; Medicine; MEDLINE; Public health; Portuguese; Scope (computer science); Family medicine; Gerontology; Political science; Nursing; Cancer; Computer science; Psychological intervention","score_opus":0.08785319217096989,"score_gpt":0.4027141962338751,"score_spread":0.31486100406290524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284697097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7981747,0.16646415,0.00007872215,0.029984456,0.0000761796,0.004990382,0.00013428777,0.0000221614,0.00007500393],"genre_scores_gemma":[0.9788249,0.011194204,0.00002693216,0.0023564089,0.00006628814,0.0074356436,0.0000031719062,0.000008606689,0.00008383621],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992176,0.00004046179,0.00020448198,0.00014796524,0.0001804399,0.00020900174],"domain_scores_gemma":[0.99958014,0.000045680332,0.00015693127,0.00009918019,0.00006613883,0.000051920862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003118776,0.00007650359,0.0002926902,0.000041465795,0.000086675136,0.000013372034,0.000053421056,0.000011249075,0.00012117545],"category_scores_gemma":[0.000021200307,0.000055440894,0.00003492883,0.0003126712,0.000115524555,0.00006162738,0.000042641404,0.000095773845,4.4432493e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039552306,0.00005318527,0.3649999,0.0033200237,0.000076429555,0.0000012846908,0.0010577191,0.000021211867,0.00031607717,0.000095395764,0.00047179093,0.62919146],"study_design_scores_gemma":[0.004957664,0.0013282603,0.9447361,0.02899637,0.00022197084,0.000052949887,0.005143305,0.00093300856,0.000029726707,0.00012823699,0.0131627545,0.00030960687],"about_ca_topic_score_codex":0.0022175447,"about_ca_topic_score_gemma":0.001650208,"teacher_disagreement_score":0.6288819,"about_ca_system_score_codex":0.00017716744,"about_ca_system_score_gemma":0.0002178516,"threshold_uncertainty_score":0.3352279},"labels":[],"label_agreement":null},{"id":"W4284993934","doi":"10.2196/39643","title":"Knowledge Acquisition and Social Support in Online Health Communities: Analysis of an Online Ovarian Cancer Community","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; U.S. National Library of Medicine; National Ovarian Cancer Coalition","keywords":"Content analysis; Cognition; Referral; Set (abstract data type); Psychology; Social support; Applied psychology; Medical education; Computer science; Medicine; Social psychology; Nursing","score_opus":0.15828832974052656,"score_gpt":0.5322056674683558,"score_spread":0.3739173377278293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284993934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98719317,0.00023066548,0.000022797329,0.002677923,0.00024726623,0.000813052,0.008417892,0.000045345216,0.00035189054],"genre_scores_gemma":[0.9785394,0.00016902389,0.0001385194,0.014897021,0.00012603443,0.0006724274,0.005269874,0.000014262305,0.00017344928],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99347275,0.004182419,0.0015530499,0.00013696797,0.000239452,0.000415329],"domain_scores_gemma":[0.99806815,0.00028425336,0.00083959685,0.00042337188,0.00024891095,0.00013568817],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0030067193,0.00014459238,0.00061579817,0.0005281961,0.0022715246,0.000008866432,0.00031187,0.00010737363,0.0068986174],"category_scores_gemma":[0.000011196454,0.00014569127,0.000069445254,0.0013061088,0.000099463556,0.0005273769,0.00035160154,0.0017121622,0.0000014796656],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037932151,0.0017459167,0.46569812,0.0017201895,0.0001310251,3.2977178e-7,0.4818433,0.00026299752,0.0000069254534,0.00030600408,0.0024027026,0.04550318],"study_design_scores_gemma":[0.0011773375,0.00014963969,0.8426227,0.00007273113,0.00004182366,1.7755148e-7,0.11406076,0.012888221,5.383249e-7,0.000051217023,0.028810887,0.00012397315],"about_ca_topic_score_codex":0.0843198,"about_ca_topic_score_gemma":0.20975675,"teacher_disagreement_score":0.37692457,"about_ca_system_score_codex":0.0011535153,"about_ca_system_score_gemma":0.0016605995,"threshold_uncertainty_score":0.9990274},"labels":[],"label_agreement":null},{"id":"W4285006511","doi":"10.2196/37539","title":"The Achieving Self-directed Integrated Cancer Aftercare Intervention for Detection of Recurrent and Second Primary Melanoma in Survivors of Melanoma: Pilot Randomized Controlled Trial","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Chief Scientist Office, Scottish Government Health and Social Care Directorate; Cancer Research UK; University of Aberdeen; Scottish Government","keywords":"Worry; Medicine; Randomized controlled trial; Anxiety; Melanoma; Depression (economics); Randomization; Quality of life (healthcare); Skin cancer; Hospital Anxiety and Depression Scale; Cancer; Incidence (geometry); Intervention (counseling); Internal medicine; Psychiatry; Nursing","score_opus":0.010841989844399625,"score_gpt":0.2760273654827699,"score_spread":0.2651853756383703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285006511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98281306,0.0049201422,0.0000598761,0.00019616254,0.001578225,0.010077092,0.00006520138,0.00008307394,0.0002071455],"genre_scores_gemma":[0.9837085,0.00051501254,0.000036466772,0.000035502428,0.00008977107,0.014548635,0.000018906165,0.000023353019,0.0010238446],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9979085,0.0005494302,0.0008461808,0.00025744305,0.00025833608,0.00018013282],"domain_scores_gemma":[0.99858487,0.00048795633,0.0005552373,0.00016502374,0.0001634326,0.000043499156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012305658,0.00017275148,0.0010401632,0.0002497647,0.00011950043,0.000014180254,0.00007893655,0.0000460895,0.00030195573],"category_scores_gemma":[0.00013633112,0.00012094625,0.0003220797,0.00029025896,0.000062712825,0.000038124574,0.000071833085,0.00022350842,1.4787472e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.96242094,0.00040027677,0.00038302576,0.0005271084,0.00062882627,0.0000032203782,0.00064709707,0.000013542313,0.005297196,0.000015400865,0.00013928069,0.029524114],"study_design_scores_gemma":[0.9794255,0.0032087895,0.0026999898,0.00026325867,0.00052250887,0.000013120918,0.0008963682,0.0035887281,0.0014727784,0.000023758588,0.0077229664,0.00016226927],"about_ca_topic_score_codex":0.00092803466,"about_ca_topic_score_gemma":0.008304014,"teacher_disagreement_score":0.029361846,"about_ca_system_score_codex":0.0005083287,"about_ca_system_score_gemma":0.000115837385,"threshold_uncertainty_score":0.49320447},"labels":[],"label_agreement":null},{"id":"W4285346972","doi":"10.2196/34264","title":"Assessing Information Available for Health Professionals and Potential Participants on Lung Cancer Screening Program Websites: Cross-sectional Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cross-sectional study; Lung cancer; Health professionals; Medicine; Lung cancer screening; Family medicine; Environmental health; Psychology; Gerontology; Health care; Oncology; Pathology; Political science","score_opus":0.1552480797521481,"score_gpt":0.587647003153139,"score_spread":0.4323989234009909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285346972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822316,0.00025388968,0.0009028244,0.0018475808,0.0021614844,0.011199606,0.0006769747,0.0002302017,0.00049580395],"genre_scores_gemma":[0.93254113,0.000022687695,0.0008984488,0.01604133,0.000446677,0.048088886,0.0002737963,0.00002507482,0.0016619394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995458,0.0007249721,0.001853107,0.00035841248,0.000721162,0.00088434736],"domain_scores_gemma":[0.99749476,0.00029560056,0.0012312639,0.00025322282,0.00045148528,0.00027369577],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004060687,0.00020592404,0.00033797993,0.00020132792,0.005754048,0.00022498517,0.00017820553,0.00010724221,0.005379985],"category_scores_gemma":[0.00015021743,0.00018064918,0.000062427825,0.00036991568,0.000040179217,0.0033606964,0.00022903505,0.00090163364,0.000032051244],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006022628,0.00041996528,0.93082833,0.0012464658,0.000038984508,2.3018107e-7,0.0066630677,0.0009886619,0.0000025098018,0.0000400366,0.038423672,0.02074579],"study_design_scores_gemma":[0.0025710457,0.0003512523,0.81889737,0.0002576824,0.000010667138,5.012015e-7,0.004715561,0.04075898,0.0000019456086,0.00001566135,0.13222429,0.00019504772],"about_ca_topic_score_codex":0.00078206335,"about_ca_topic_score_gemma":0.00009845165,"teacher_disagreement_score":0.11193099,"about_ca_system_score_codex":0.00095487304,"about_ca_system_score_gemma":0.0020924963,"threshold_uncertainty_score":0.9955403},"labels":[],"label_agreement":null},{"id":"W4285409427","doi":"10.2196/39068","title":"Characterizing the Patient Journey in Multiple Myeloma: Qualitative Review","year":2022,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Pfizer","keywords":"Medicine; PsycINFO; Nausea; Social media; Quality of life (healthcare); Patient satisfaction; Qualitative research; MEDLINE; Patient experience; Tolerability; Family medicine; Health care; Clinical psychology; Physical therapy; Adverse effect; Nursing; Surgery; Internal medicine","score_opus":0.21885742817115617,"score_gpt":0.48620719294253484,"score_spread":0.2673497647713787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285409427","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000054896092,0.99152017,2.1051675e-7,0.0009207399,0.00021792635,0.006109357,0.00032284728,0.000027957978,0.00082591607],"genre_scores_gemma":[0.00004656367,0.9807521,0.000024622337,0.0009848234,0.00017559585,0.016697703,0.00048860547,0.000078701334,0.00075130304],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962451,0.001095091,0.0008450293,0.0005191833,0.000749531,0.00054607674],"domain_scores_gemma":[0.9979003,0.00073621114,0.0004831914,0.00061133486,0.00006389534,0.00020504912],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006270394,0.00045016815,0.001946574,0.0002063304,0.00017285127,0.000025021227,0.00026951253,0.0001127713,0.0034539774],"category_scores_gemma":[0.0004273623,0.00025297207,0.0006119154,0.00072535354,0.00007714759,0.00006874115,0.00021723536,0.0012008518,0.00013097729],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046215206,0.00018007477,0.00004838618,0.040167518,0.0003277856,0.0002532922,0.001753064,2.4139041e-8,4.2630614e-7,0.0000042974607,0.004490702,0.9527282],"study_design_scores_gemma":[0.0007046208,0.00014536435,0.0002021391,0.06717871,0.00034447253,0.000060055412,0.0003190497,0.000002228036,5.807718e-7,0.000001916099,0.93082815,0.00021269654],"about_ca_topic_score_codex":0.00032678345,"about_ca_topic_score_gemma":0.00010680086,"teacher_disagreement_score":0.95251554,"about_ca_system_score_codex":0.0013265602,"about_ca_system_score_gemma":0.0009177004,"threshold_uncertainty_score":0.99999225},"labels":[],"label_agreement":null},{"id":"W4285507946","doi":"10.2196/34745","title":"Association Between Patient Portal Use and Perceived Patient-Centered Communication Among Adults With Cancer: Cross-sectional Survey Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; National Institutes of Health; U.S. Department of Veterans Affairs","keywords":"Cross-sectional study; Association (psychology); Medicine; Patient portal; Family medicine; Environmental health; Psychology; Health care; Pathology","score_opus":0.07784284923410163,"score_gpt":0.42232816356894537,"score_spread":0.34448531433484375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285507946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99250996,0.00026156788,0.0000013165933,0.00013889893,0.00068431726,0.0048070224,0.0014139287,0.000086955,0.00009604345],"genre_scores_gemma":[0.9882524,0.000115797746,0.000007540636,0.0002427397,0.00014613477,0.0097890645,0.00051765394,0.000051500625,0.000877186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99388087,0.0032927399,0.0008904607,0.00048244954,0.00080146553,0.0006520289],"domain_scores_gemma":[0.9967767,0.0007479392,0.0011605378,0.00041531993,0.00071810576,0.00018139085],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001156195,0.00020755066,0.00037033585,0.00010487467,0.0020306949,0.000043867964,0.00018353494,0.00013995884,0.0008019843],"category_scores_gemma":[0.00012589069,0.0001951433,0.00003363998,0.0003832638,0.000041041367,0.0003228224,0.00022669615,0.001177603,0.000006027182],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043984104,0.00019476205,0.9795735,0.00008060365,0.00016240864,0.0000014173215,0.015821582,0.000058121404,0.0000033195167,0.0000013540292,0.002618563,0.0010445216],"study_design_scores_gemma":[0.002395758,0.00078746665,0.9885104,0.00012307383,0.000021279384,5.725393e-7,0.004330138,0.00009720191,6.3753106e-7,0.0000013871619,0.0035324711,0.00019963461],"about_ca_topic_score_codex":0.12230437,"about_ca_topic_score_gemma":0.18822384,"teacher_disagreement_score":0.06591947,"about_ca_system_score_codex":0.0040307897,"about_ca_system_score_gemma":0.0010906934,"threshold_uncertainty_score":0.9997926},"labels":[],"label_agreement":null},{"id":"W4286378295","doi":"10.2196/34851","title":"Impact of a Personal Health Record Intervention Upon Surveillance Among Colorectal Cancer Survivors: Feasibility Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health; Health Services Research and Development; Office of Research and Development; Livestrong Foundation; U.S. Department of Veterans Affairs","keywords":"Medicine; Colorectal cancer; Psychological intervention; Colonoscopy; Confidence interval; Internal medicine; Cancer; Physical therapy","score_opus":0.032362890345528056,"score_gpt":0.38597352453027656,"score_spread":0.3536106341847485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286378295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930451,0.0022348654,0.000007837983,0.00031335664,0.001238138,0.0021680677,0.00079272315,0.00007399368,0.0001258996],"genre_scores_gemma":[0.9969978,0.00010748859,0.0000028880977,0.00008393984,0.00024565487,0.0020045552,0.000066799155,0.00004333152,0.00044755984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99719995,0.0005524534,0.0005485345,0.000569806,0.0006993555,0.0004298962],"domain_scores_gemma":[0.99876034,0.000057093133,0.00042177056,0.00032294198,0.00022519624,0.00021266159],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009160543,0.00025423296,0.0007066105,0.0001543001,0.00018375996,0.000016235223,0.00016440936,0.000053238946,0.0053382493],"category_scores_gemma":[0.000026095353,0.00023335518,0.0005172545,0.00070529495,0.00007441638,0.000096456475,0.00014532248,0.0004722764,0.0000017391714],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029858267,0.0014127913,0.96259904,0.0002355444,0.00026846366,0.000009940835,0.008763482,0.000055041495,0.00017122095,8.4899136e-7,0.0013077727,0.022190044],"study_design_scores_gemma":[0.0023814023,0.0045318,0.98649216,0.000107506734,0.000034831417,0.000006334258,0.005234853,0.00027139025,0.00002567515,0.0000046860578,0.00070546503,0.00020392143],"about_ca_topic_score_codex":0.3842681,"about_ca_topic_score_gemma":0.59443456,"teacher_disagreement_score":0.21016644,"about_ca_system_score_codex":0.0031290974,"about_ca_system_score_gemma":0.0009224281,"threshold_uncertainty_score":0.995571},"labels":[],"label_agreement":null},{"id":"W4286624732","doi":"10.2196/38300","title":"An Investigation of Virtual Reality Nature Experiences in Patients With Metastatic Breast Cancer: Secondary Analysis of a Randomized Controlled Trial","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Breast Cancer Foundation New Zealand","keywords":"Anxiety; Breast cancer; Psychological intervention; Randomized controlled trial; Quality of life (healthcare); Physical therapy; Medicine; Hospital Anxiety and Depression Scale; Depression (economics); Metastatic breast cancer; Psychology; Clinical psychology; Cancer; Psychotherapist; Psychiatry; Internal medicine","score_opus":0.008531496625361977,"score_gpt":0.2807013177663981,"score_spread":0.27216982114103616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286624732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971038,0.000093321214,0.000005741732,0.00019045877,0.000084167186,0.0022069488,0.00026564923,0.000006117956,0.000043796135],"genre_scores_gemma":[0.99602014,0.000014035242,0.000028105918,0.00020895705,0.000013948075,0.0036219293,0.00004430017,0.0000064788737,0.000042098112],"study_design_codex":"observational","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9977767,0.0006294311,0.00053193106,0.00026526392,0.00064085994,0.00015581466],"domain_scores_gemma":[0.9989948,0.00010468618,0.0006066806,0.00019432452,0.000025649833,0.000073859206],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00082461315,0.00011655372,0.0011267149,0.00016143314,0.00007213468,0.0000061779324,0.0001681277,0.00003641022,0.0051188497],"category_scores_gemma":[0.000010085994,0.00008217532,0.00015691461,0.0010364817,0.00028250727,0.00019528747,0.000043991487,0.00020655911,2.1889282e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.4454492,0.00018973205,0.5398544,0.000007763937,0.00029280674,3.675259e-7,0.008421849,0.0052226726,0.000034773922,0.000012264755,0.00012318527,0.00039098357],"study_design_scores_gemma":[0.5437913,0.0003944813,0.4509972,0.00000915844,0.00045084907,6.4826736e-8,0.0018603704,0.0023533516,0.000013528232,0.000018163099,0.000008651716,0.00010286886],"about_ca_topic_score_codex":0.019508082,"about_ca_topic_score_gemma":0.022591967,"teacher_disagreement_score":0.098342106,"about_ca_system_score_codex":0.00027466292,"about_ca_system_score_gemma":0.00018150853,"threshold_uncertainty_score":0.9957906},"labels":[],"label_agreement":null},{"id":"W4288073185","doi":"10.2196/33768","title":"Adoption of Telemedicine in a Rural US Cancer Center Amid the COVID-19 Pandemic: Qualitative Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health","keywords":"Telemedicine; Specialty; Medicine; Pandemic; Thematic analysis; Health care; Qualitative research; Family medicine; Nursing; Outpatient clinic; Medical emergency; Coronavirus disease 2019 (COVID-19); Internal medicine; Political science","score_opus":0.10938836727241012,"score_gpt":0.49871292292307035,"score_spread":0.3893245556506602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288073185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833603,0.00070644653,0.000025280191,0.012468693,0.00033473477,0.0028041436,0.00017598574,0.000037199003,0.0000872372],"genre_scores_gemma":[0.98235476,0.0002555192,0.000014453506,0.012424654,0.00028085426,0.004247227,0.00012046179,0.000020508009,0.00028154004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977002,0.00043770412,0.00063623616,0.00023493508,0.000676001,0.00031493368],"domain_scores_gemma":[0.99903834,0.00017989587,0.00031154073,0.00023291883,0.000091250404,0.00014605167],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010679829,0.0001519869,0.00038185235,0.0002076743,0.00015011735,0.0000033300903,0.0001220103,0.000028678656,0.002544264],"category_scores_gemma":[0.000073215175,0.00010447828,0.000054395045,0.00064172957,0.00009608402,0.000058670445,0.00007660994,0.00040529002,0.0000019590545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009416369,0.0004334285,0.86665463,0.0001553927,0.00007675842,0.000016874823,0.107637234,0.00005117791,0.00029999696,0.000025263056,0.012345886,0.0113617275],"study_design_scores_gemma":[0.012412901,0.0018024957,0.6158523,0.000060154227,0.000105818464,0.00003455133,0.28541228,0.00006508766,0.000015783451,0.00004510123,0.084065646,0.00012788939],"about_ca_topic_score_codex":0.02020609,"about_ca_topic_score_gemma":0.010941501,"teacher_disagreement_score":0.2508023,"about_ca_system_score_codex":0.0010543126,"about_ca_system_score_gemma":0.000572423,"threshold_uncertainty_score":0.99836755},"labels":[],"label_agreement":null},{"id":"W4288686885","doi":"10.2196/35893","title":"Providing Care Beyond Therapy Sessions With a Natural Language Processing–Based Recommender System That Identifies Cancer Patients Who Experience Psychosocial Challenges and Provides Self-care Support: Pilot Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health; Princess Margaret Cancer Centre; McMaster University; University of Toronto; University Health Network","funders":"","keywords":"Psychosocial; Facilitator; Protocol (science); Recall; Resource (disambiguation); Medical education; Computer science; Medicine; Psychology; Alternative medicine; Psychiatry","score_opus":0.03282479510653678,"score_gpt":0.3324696324674031,"score_spread":0.2996448373608663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288686885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9280841,0.066642374,6.708655e-7,0.00056648004,0.00083949027,0.0030934513,0.0001486504,0.00023039774,0.00039440425],"genre_scores_gemma":[0.98581016,0.00043358526,0.000013015108,0.00058905326,0.00025939845,0.012557913,0.000060837145,0.00008018582,0.00019583252],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9976161,0.00016126913,0.00024754694,0.0007237543,0.0008416737,0.00040963077],"domain_scores_gemma":[0.9989712,0.000030104356,0.00023413282,0.00030407961,0.0003183388,0.00014214618],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000087067725,0.0003530669,0.00045785934,0.00013853006,0.00068816496,0.00010220218,0.00019130422,0.000047550693,0.00013617883],"category_scores_gemma":[0.000003890245,0.00026925118,0.000062032734,0.00027804417,0.00007012523,0.00025940573,0.00010547151,0.00040195114,4.1597116e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018194948,0.0006165967,0.29009697,0.0022018228,0.00014076705,0.000045073255,0.62991256,0.0000032196292,0.00011271675,0.0000022736535,0.0005362622,0.07451224],"study_design_scores_gemma":[0.005454579,0.0035284946,0.11623146,0.0008141041,0.00014078959,0.0000067179158,0.8662052,0.00003463094,0.0004335665,5.0667967e-7,0.0066550425,0.0004948774],"about_ca_topic_score_codex":0.0013864364,"about_ca_topic_score_gemma":0.013144377,"teacher_disagreement_score":0.23629266,"about_ca_system_score_codex":0.0008966928,"about_ca_system_score_gemma":0.0006091417,"threshold_uncertainty_score":0.999976},"labels":[],"label_agreement":null},{"id":"W4289307911","doi":"10.2196/37502","title":"Integrating Top-down and Bottom-up Requirements in eHealth Development: The Case of a Mobile Self-compassion Intervention for People With Newly Diagnosed Cancer","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mindfulness and Compassion Interventions","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"KWF Kankerbestrijding","keywords":"eHealth; Context (archaeology); Psychological intervention; Psychosocial; Intervention (counseling); Psychology; Distress; Computer science; Process management; Medical education; Applied psychology; Nursing; Medicine; Psychotherapist; Engineering; Health care","score_opus":0.027362400849809027,"score_gpt":0.3751791282366447,"score_spread":0.34781672738683567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289307911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938794,0.0007125035,0.0024990877,0.000348821,0.0007916483,0.0015265656,0.000093252274,0.000022318467,0.00012643175],"genre_scores_gemma":[0.92454606,0.000005786452,0.00015197639,0.00009171721,0.000034578577,0.07404855,0.000014192888,0.000019600298,0.0010875316],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986162,0.0001849783,0.00048697207,0.00031995104,0.00014239062,0.00024946211],"domain_scores_gemma":[0.999219,0.000111077614,0.0003384337,0.00021472035,0.000069388996,0.000047394715],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037137512,0.00014195876,0.00026304123,0.0001310806,0.00030100375,0.000020536812,0.000157114,0.00003839094,0.005781152],"category_scores_gemma":[0.000005523965,0.0000998955,0.00007848488,0.00032600932,0.00002620297,0.0000717809,0.000109453846,0.00024164257,0.0000016110012],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002180436,0.0027059622,0.25526336,0.001281008,0.0005040786,0.00013489668,0.090443835,0.00075893797,0.00010159164,0.015707308,0.03583585,0.59508276],"study_design_scores_gemma":[0.045876883,0.0054113795,0.39609766,0.004999417,0.00035695956,0.0006027105,0.28100604,0.011436226,0.0022649716,0.0015842089,0.2484419,0.0019216399],"about_ca_topic_score_codex":0.008059837,"about_ca_topic_score_gemma":0.021550694,"teacher_disagreement_score":0.5931611,"about_ca_system_score_codex":0.00027846944,"about_ca_system_score_gemma":0.00015330591,"threshold_uncertainty_score":0.9985456},"labels":[],"label_agreement":null},{"id":"W4292103951","doi":"10.2196/38367","title":"A Digital Educational Intervention With Wearable Activity Trackers to Support Health Behaviors Among Childhood Cancer Survivors: Pilot Feasibility and Acceptability Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Health and Medical Research Council; Kids' Cancer Project; Cancer Institute NSW; Medical Research Council; Australian Government","keywords":"Activity tracker; Intervention (counseling); Childhood cancer; Wearable computer; Psychology; Cancer; BitTorrent tracker; Medicine; Applied psychology; Medical education; Physical therapy; Physical activity; Computer science; Nursing; Artificial intelligence","score_opus":0.04160624523619268,"score_gpt":0.38764698695926303,"score_spread":0.34604074172307037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292103951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98493785,0.00054456864,0.000015974003,0.0076787174,0.00045875518,0.0054260558,0.0006561503,0.00011625991,0.00016566478],"genre_scores_gemma":[0.9932648,0.000029406707,0.000041190382,0.0008514207,0.00023914507,0.004686294,0.0000558567,0.00006427929,0.0007676257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961437,0.0003952855,0.0006260878,0.0011338477,0.0011390443,0.000562016],"domain_scores_gemma":[0.9980867,0.00009315641,0.00036188195,0.0006954905,0.0001586086,0.00060417515],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012154282,0.00037435308,0.00073209277,0.00018048428,0.00046374626,0.00011427317,0.00022563072,0.000043701424,0.0037459042],"category_scores_gemma":[0.000058719244,0.00036407294,0.00015198873,0.00068064686,0.00017431019,0.00056871364,0.00027223246,0.00065688876,0.000005150659],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015827342,0.009388211,0.93840307,0.00021986493,0.00015289418,0.0000036176393,0.010788431,0.000043988013,0.000010678523,0.0000016513189,0.00092337903,0.03848145],"study_design_scores_gemma":[0.0035835155,0.0067040995,0.98044133,0.00014938963,0.0000895851,0.00001646538,0.0077179223,0.000005584142,0.00002650472,0.00001613838,0.00089132483,0.0003581355],"about_ca_topic_score_codex":0.054508474,"about_ca_topic_score_gemma":0.123915374,"teacher_disagreement_score":0.069406904,"about_ca_system_score_codex":0.0021736326,"about_ca_system_score_gemma":0.0017863637,"threshold_uncertainty_score":0.99988115},"labels":[],"label_agreement":null},{"id":"W4292737523","doi":"10.2196/37518","title":"Perceived Unmet Needs in Patients Living With Advanced Bladder Cancer and Their Caregivers: Infodemiology Study Using Data From Social Media in the United States","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Merck KGaA; Pfizer","keywords":"Social media; Medicine; Content analysis; Family medicine; Social support; Psychology; Psychotherapist","score_opus":0.054126474813610145,"score_gpt":0.3359725983212922,"score_spread":0.28184612350768207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292737523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966282,0.0006714528,0.0000017117986,0.00036471037,0.00014296419,0.0011505723,0.0009876599,0.000018184666,0.00003450119],"genre_scores_gemma":[0.99739647,0.00022017526,0.000016510949,0.0010899509,0.000119329176,0.00065727945,0.00045449502,0.00003234327,0.000013473508],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844974,0.0003044366,0.00024004371,0.00039804165,0.00029483106,0.0003129143],"domain_scores_gemma":[0.99918675,0.00024152418,0.00011081101,0.0003492235,0.00005942958,0.000052286334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016638785,0.00022777659,0.00040635906,0.0002446986,0.000180851,0.000017157508,0.000268143,0.000049896687,0.00035372272],"category_scores_gemma":[0.000025904536,0.00014910863,0.000021775357,0.0007283362,0.00009966481,0.00014939504,0.00026039203,0.0003927516,3.7339137e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006045438,0.0004376264,0.8161755,0.00001128036,0.00018207094,0.000014195085,0.1792106,0.0005096404,0.000031871205,7.3878624e-7,0.00032765043,0.002494247],"study_design_scores_gemma":[0.006064508,0.00039675017,0.84774476,0.000066703986,0.00012629508,0.0000012193678,0.14395605,0.00071960106,0.0000018496177,0.0000118253865,0.0007494531,0.00016098676],"about_ca_topic_score_codex":0.026549991,"about_ca_topic_score_gemma":0.021523751,"teacher_disagreement_score":0.03525455,"about_ca_system_score_codex":0.0005087495,"about_ca_system_score_gemma":0.00026228864,"threshold_uncertainty_score":0.9963309},"labels":[],"label_agreement":null},{"id":"W4293089460","doi":"10.2196/38514","title":"Creating and Implementing a Principal Investigator Tool Kit for Enhancing Accrual to Late Phase Clinical Trials: Development and Usability Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Usability; Accrual; Principal (computer security); Phase (matter); Computer science; Process management; Medicine; Psychology; Engineering; Business; Human–computer interaction; Accounting; Chemistry","score_opus":0.705539455180204,"score_gpt":0.6980330290506669,"score_spread":0.007506426129537114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293089460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99249786,0.00010054147,0.00014996494,0.0019460664,0.0001735062,0.0049911835,0.000046816178,0.00003567303,0.000058368147],"genre_scores_gemma":[0.98488545,0.000018036733,0.007095513,0.0016693777,0.00043259523,0.0051716478,0.0000073758047,0.000029763394,0.0006902255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99534786,0.00080638885,0.0017733042,0.00076993566,0.00080972636,0.0004928111],"domain_scores_gemma":[0.98118836,0.017258678,0.00030965058,0.0003481035,0.0002676129,0.00062761223],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04956685,0.00016142805,0.0007430852,0.00008028052,0.0005829159,0.000065210035,0.00013569194,0.00009908329,0.00029109608],"category_scores_gemma":[0.07413076,0.00014135652,0.00009005999,0.00020047168,0.00012019274,0.000060123235,0.0010160148,0.0011333049,0.0000012495689],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033597217,0.0015418692,0.7407241,0.0007725564,0.00039738827,0.00002537728,0.017664663,0.000007258307,0.004756995,0.00027628758,0.0004188878,0.23005491],"study_design_scores_gemma":[0.093359865,0.023920327,0.5720217,0.0014337959,0.00097009604,0.000023165154,0.04232054,0.0037083945,0.013735862,0.0036188406,0.243003,0.0018843918],"about_ca_topic_score_codex":0.00012945381,"about_ca_topic_score_gemma":0.0018537017,"teacher_disagreement_score":0.24258411,"about_ca_system_score_codex":0.000311223,"about_ca_system_score_gemma":0.0020901228,"threshold_uncertainty_score":0.97867095},"labels":[],"label_agreement":null},{"id":"W4295678372","doi":"10.2196/39725","title":"Role for a Web-Based Intervention to Alleviate Distress in People With Newly Diagnosed Testicular Cancer: Mixed Methods Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Testicular diseases and treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Movember Foundation","keywords":"Distress; Anxiety; Medicine; Depression (economics); Coping (psychology); Clinical psychology; Psychiatry; Psychology","score_opus":0.015171456202245309,"score_gpt":0.3773119339703831,"score_spread":0.3621404777681378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295678372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915469,0.001901554,0.0010136797,0.0006240574,0.00014109036,0.004276988,0.00042039755,0.00006380221,0.000011493515],"genre_scores_gemma":[0.9593494,0.000006718212,0.002495697,0.00027324143,0.000047961363,0.03748317,0.00015052712,0.000043824828,0.00014946473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998644,0.00016590249,0.00022661798,0.00041148494,0.00027616145,0.00027585868],"domain_scores_gemma":[0.9992394,0.00012023564,0.00010322144,0.00028334267,0.00007749376,0.00017634414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000160294,0.0001901742,0.0003596442,0.00011978592,0.00010222814,0.00002049228,0.00009815764,0.000021703467,0.00031464742],"category_scores_gemma":[0.00006670085,0.00015539819,0.00013606384,0.00043136853,0.000012746571,0.00003362184,0.00006661864,0.00010148225,0.0000015619473],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021875035,0.0050848243,0.8657546,0.00019551793,0.00034040076,0.0001532849,0.0007734325,0.009154732,0.00064385287,0.0000041139465,0.0007120857,0.11499565],"study_design_scores_gemma":[0.019283507,0.002569112,0.9659113,0.0002350391,0.00056956016,0.00000286408,0.0014751215,0.0053239865,0.00014978391,0.000011162154,0.004265585,0.00020293648],"about_ca_topic_score_codex":0.0059616356,"about_ca_topic_score_gemma":0.013091933,"teacher_disagreement_score":0.11479271,"about_ca_system_score_codex":0.00057119306,"about_ca_system_score_gemma":0.0002570248,"threshold_uncertainty_score":0.901225},"labels":[],"label_agreement":null},{"id":"W4296037083","doi":"10.2196/37793","title":"Public Deliberation Process on Patient Perspectives on Health Information Sharing: Evaluative Descriptive Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute","keywords":"Deliberation; Process (computing); Descriptive research; Psychology; Sociology; Knowledge management; Political science; Public relations; Computer science; Social science; Politics","score_opus":0.379781655134554,"score_gpt":0.5040228534258819,"score_spread":0.12424119829132796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296037083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9785111,0.0001483328,0.000020870359,0.0030327574,0.0011872961,0.010399003,0.00023168388,0.00009709366,0.0063718525],"genre_scores_gemma":[0.9635939,0.000026254165,0.000012626316,0.01221247,0.00011499694,0.02343331,0.00031168127,0.000018701137,0.00027605606],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99632925,0.00093589746,0.0007101063,0.0003767796,0.0010950003,0.0005529776],"domain_scores_gemma":[0.99837786,0.00009022266,0.00064229936,0.00027046827,0.00039468866,0.0002244362],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000970124,0.00019453806,0.0002275515,0.00026464384,0.0027560138,0.000022437065,0.00017133012,0.000041468382,0.001667222],"category_scores_gemma":[0.000036465706,0.00017252832,0.000038672748,0.0004219077,0.000018497705,0.00042544122,0.00013115405,0.00075836875,0.00014412115],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013057083,0.0022030966,0.038017437,0.00043111225,0.000046157325,7.4953897e-7,0.9082149,0.0011936361,0.0000011923662,0.0030776358,0.010707477,0.03480085],"study_design_scores_gemma":[0.0032925867,0.014473825,0.028319359,0.00035368023,0.000009955191,2.009271e-7,0.9290392,0.0015136243,0.000011093111,0.0005240185,0.022164198,0.00029828216],"about_ca_topic_score_codex":0.0008155601,"about_ca_topic_score_gemma":0.00047937495,"teacher_disagreement_score":0.03450257,"about_ca_system_score_codex":0.0058589005,"about_ca_system_score_gemma":0.0013378763,"threshold_uncertainty_score":0.9992454},"labels":[],"label_agreement":null},{"id":"W4296168609","doi":"10.2196/38088","title":"Supporting Shared Decision-making About Surveillance After Breast Cancer With Personalized Recurrence Risk Calculations: Development of a Patient Decision Aid Using the International Patient Decision AIDS Standards Development Process in Combination With a Mixed Methods Design","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"ZonMw","keywords":"Decision aids; Breast cancer; Medicine; Decision support system; Medical physics; Process management; Computer science; Cancer; Artificial intelligence; Engineering; Internal medicine; Pathology; Alternative medicine","score_opus":0.01551927343047799,"score_gpt":0.3707710639292665,"score_spread":0.3552517904987885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296168609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6955739,0.0010796912,0.30196354,0.000023339879,0.00024816723,0.0008226083,0.0002768389,0.000008083939,0.0000037963255],"genre_scores_gemma":[0.70606315,0.000044573313,0.29134962,0.00006633753,0.000021254105,0.0023722195,0.000045203666,0.000034418932,0.0000031940947],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9963946,0.0003341248,0.0008529609,0.0006972077,0.0013682169,0.00035294244],"domain_scores_gemma":[0.99754786,0.00022574043,0.00081808737,0.00032445576,0.0010228103,0.000061030194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014249029,0.0003007957,0.00029621352,0.00022009308,0.00047585354,0.00006682046,0.0003786268,0.00008090889,0.00030047476],"category_scores_gemma":[0.00019953804,0.00022504506,0.00006108783,0.0007331711,0.0001018691,0.000036980604,0.00030780636,0.0002374822,2.1620384e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0072263605,0.00021446055,0.108196005,0.000034102988,0.00018006779,0.0000060745956,0.012403532,0.19507489,0.00096930814,0.000002024759,0.00012340526,0.6755698],"study_design_scores_gemma":[0.022477355,0.0023984022,0.69613874,0.008965247,0.00027353677,0.00032212076,0.030257357,0.07623385,0.070096344,0.0007918671,0.0877814,0.004263765],"about_ca_topic_score_codex":0.000059671383,"about_ca_topic_score_gemma":0.0009351763,"teacher_disagreement_score":0.671306,"about_ca_system_score_codex":0.0019031471,"about_ca_system_score_gemma":0.0033431149,"threshold_uncertainty_score":0.9177071},"labels":[],"label_agreement":null},{"id":"W4299310922","doi":"10.2196/39228","title":"Meditation Mobile App Developed for Patients With and Survivors of Cancer: Feasibility Randomized Controlled Trial","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mindfulness and Compassion Interventions","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Randomized controlled trial; Meditation; Mobile apps; Medicine; Cancer; Physical therapy; Internal medicine; Computer science; World Wide Web; History","score_opus":0.02621016285920258,"score_gpt":0.3724129601106346,"score_spread":0.34620279725143205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299310922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98562133,0.0003028931,0.0014014521,0.00008698239,0.0018648239,0.010170083,0.00025334817,0.000016678257,0.0002824051],"genre_scores_gemma":[0.7346716,0.0000019118,0.00001952184,0.000021398291,0.000052234875,0.26366657,0.000029985831,0.000009706149,0.0015270466],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99857426,0.00037115553,0.00047417966,0.00023734481,0.0002116161,0.0001314395],"domain_scores_gemma":[0.9988668,0.00035441833,0.000400749,0.00014371623,0.00019425683,0.000040055555],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00054180453,0.00010497967,0.000688563,0.00006970226,0.0001369021,0.000007990488,0.00008929811,0.000034025135,0.009468325],"category_scores_gemma":[0.00003653673,0.00007305151,0.00018108523,0.00012335395,0.00007297178,0.00003179405,0.000030136314,0.00007739529,6.112285e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9777246,0.0006796669,0.007983871,0.00003480159,0.0003313112,1.1818748e-7,0.00091666623,0.000032580592,0.0000018167735,0.001483489,0.002880318,0.007930761],"study_design_scores_gemma":[0.98699355,0.0006406284,0.007346963,0.00002388022,0.0001288377,8.748951e-8,0.0005210524,0.0000871559,0.000010263283,0.000574578,0.0035645338,0.00010845836],"about_ca_topic_score_codex":0.0009794529,"about_ca_topic_score_gemma":0.001021747,"teacher_disagreement_score":0.2534965,"about_ca_system_score_codex":0.00007094853,"about_ca_system_score_gemma":0.00010546797,"threshold_uncertainty_score":0.99143714},"labels":[],"label_agreement":null},{"id":"W4300874789","doi":"10.2196/37272","title":"Racial Disparities in Patient-Provider Communication During Telehealth Visits Versus Face-to-face Visits Among Asian and Native Hawaiian and Other Pacific Islander Patients With Cancer: Cross-sectional Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Telehealth; Pacific islanders; Medicine; Telemedicine; Family medicine; Patient satisfaction; Cross-sectional study; Health equity; Logistic regression; Gerontology; Health care; Nursing; Public health; Internal medicine; Environmental health; Population","score_opus":0.01810729857877099,"score_gpt":0.3468852588300478,"score_spread":0.3287779602512768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300874789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99614227,0.0004281251,0.000019077663,0.0013008398,0.00012753761,0.0014539618,0.00035141158,0.000031778793,0.00014498564],"genre_scores_gemma":[0.99764144,0.00008349611,0.000047278678,0.0006101242,0.00006858741,0.0011996456,0.00018633239,0.000029056313,0.00013406045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998184,0.00012682962,0.00039931163,0.00041493602,0.0005240018,0.00035088355],"domain_scores_gemma":[0.999179,0.00005990606,0.00024045933,0.0002051272,0.000122531,0.0001929446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014216782,0.00019336825,0.0003394712,0.00041220518,0.000507123,0.000046483052,0.000069184665,0.000052662148,0.00034634155],"category_scores_gemma":[0.00001706573,0.0001755715,0.00003345898,0.00077314366,0.00008199059,0.00020638447,0.00010081644,0.00033319308,5.755082e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002144485,0.00009159117,0.97799397,0.00011255927,0.00021637976,0.000003055052,0.011425503,0.00033664945,0.0000058712976,0.000011100065,0.0001343006,0.0075245453],"study_design_scores_gemma":[0.00680235,0.00066592306,0.9857633,0.000051173367,0.00010363245,0.0000016820152,0.004715678,0.00017527219,0.000018328274,0.0000050936615,0.0015196966,0.00017788002],"about_ca_topic_score_codex":0.0070338333,"about_ca_topic_score_gemma":0.025167603,"teacher_disagreement_score":0.01813377,"about_ca_system_score_codex":0.00062636123,"about_ca_system_score_gemma":0.00015365741,"threshold_uncertainty_score":0.9995784},"labels":[],"label_agreement":null},{"id":"W4302307854","doi":"10.2196/35310","title":"COVID-19 Diagnosis and Risk of Death Among Adults With Cancer in Indiana: Retrospective Cohort Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Aging; Centers for Disease Control and Prevention","keywords":"Medicine; Retrospective cohort study; Cancer; Proportional hazards model; Hazard ratio; Medical record; Population; Cohort; Cohort study; Demography; Internal medicine; Emergency medicine; Environmental health; Confidence interval","score_opus":0.027335958957409368,"score_gpt":0.38396697572472127,"score_spread":0.3566310167673119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302307854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927269,0.0015211228,0.000001871815,0.0016294484,0.00009399318,0.0034783666,0.00044066156,0.00003108143,0.00007654551],"genre_scores_gemma":[0.98919255,0.0027986437,0.000007893474,0.0014457514,0.000086331325,0.006331475,0.0000072718067,0.000028033333,0.00010207134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983177,0.0001346028,0.00026793583,0.0004471905,0.00053331273,0.00029921057],"domain_scores_gemma":[0.9988539,0.00014079594,0.0002192029,0.00027447531,0.00009890801,0.000412685],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038338845,0.00016749972,0.00051876064,0.00024728765,0.00015788445,0.0000073426527,0.00007585721,0.000051851777,0.0011138055],"category_scores_gemma":[0.0002332708,0.00013979177,0.000037421007,0.0006182418,0.0000813345,0.00006863983,0.00008428998,0.00048774845,3.8172539e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013234962,0.0003836612,0.9811923,0.0002866141,0.00020075397,0.00014104007,0.013393451,0.00020950171,0.0000018179225,0.0000051847933,0.0009595039,0.0019026694],"study_design_scores_gemma":[0.004522397,0.0016941902,0.98909634,0.00017215603,0.00018098924,0.00000424733,0.0029934298,0.00004290705,0.0000154112,0.000013882225,0.0011153664,0.00014866002],"about_ca_topic_score_codex":0.3185022,"about_ca_topic_score_gemma":0.25300786,"teacher_disagreement_score":0.06549433,"about_ca_system_score_codex":0.0028981087,"about_ca_system_score_gemma":0.0018773477,"threshold_uncertainty_score":0.9997993},"labels":[],"label_agreement":null},{"id":"W4304758306","doi":"10.2196/39012","title":"Scientific Publications on Nursing for COVID-19 in Patients With Cancer: Scoping Review","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Pandemic; Context (archaeology); Coronavirus disease 2019 (COVID-19); Medicine; Thematic analysis; Nursing; Health care; Restructuring; Population; Disease; Political science; Qualitative research; Sociology; Pathology; History","score_opus":0.13954032273960326,"score_gpt":0.5138146306494484,"score_spread":0.37427430790984517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304758306","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38946995,0.061304055,0.00024619646,0.5123243,0.002288679,0.031746514,0.0011996044,0.00032973883,0.0010909945],"genre_scores_gemma":[0.8503493,0.002365522,0.00016557338,0.12109668,0.0003127104,0.022721414,0.000497875,0.00007955222,0.0024113543],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862146,0.000042880136,0.0002406433,0.00036091247,0.00041625943,0.00031786162],"domain_scores_gemma":[0.99901414,0.0000916218,0.00012920776,0.00031850344,0.00017510752,0.00027140795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032237856,0.00010321951,0.00025547954,0.00025853608,0.00044357154,0.000029951458,0.000097097334,0.00002359494,0.00089440757],"category_scores_gemma":[0.0002327357,0.00008959865,0.000044484037,0.0009318416,0.000059176233,0.000087220455,0.000021133632,0.00019000183,0.0000024530902],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016356389,0.0012608188,0.5277033,0.030512558,0.000043519733,0.000004572719,0.0029542337,0.00059784594,0.000029963729,0.00065845565,0.29533842,0.13926071],"study_design_scores_gemma":[0.0074919797,0.0012334052,0.3518602,0.0747683,0.00011545282,0.0000027887475,0.00014948187,0.00011030036,0.000023775865,0.00008898053,0.5637631,0.00039228506],"about_ca_topic_score_codex":0.00065746706,"about_ca_topic_score_gemma":0.001526867,"teacher_disagreement_score":0.46087936,"about_ca_system_score_codex":0.003544986,"about_ca_system_score_gemma":0.0061984607,"threshold_uncertainty_score":0.9994355},"labels":[],"label_agreement":null},{"id":"W4306793120","doi":"10.2196/32153","title":"A Web-Based Prostate Cancer–Specific Holistic Needs Assessment (CHAT-P): Multimethod Study From Concept to Clinical Practice","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute for Health and Care Research; Prostate Cancer UK; Movember Foundation","keywords":"Prostate cancer; Clinical Practice; Medicine; Cancer; Psychology; Oncology; Medical education; Internal medicine; Family medicine","score_opus":0.08367378952661461,"score_gpt":0.4768079832238684,"score_spread":0.3931341936972538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306793120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96464247,0.005718862,0.00062049704,0.010505096,0.008006266,0.006568598,0.0020611582,0.00030572133,0.0015713247],"genre_scores_gemma":[0.97217727,0.00015865565,0.002197139,0.010437534,0.0015713393,0.011152699,0.00011615248,0.00009836796,0.0020908178],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956612,0.0009626421,0.0007571328,0.00086631696,0.0012244523,0.00052825233],"domain_scores_gemma":[0.99713683,0.0008628435,0.00032259652,0.0008421137,0.000367606,0.00046803418],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00094680535,0.00035538647,0.0007777822,0.0002144898,0.00028371895,0.00007610699,0.0003054641,0.00008993281,0.0062742787],"category_scores_gemma":[0.00014147889,0.00034376042,0.00023225763,0.0010621799,0.000087419176,0.00011673386,0.0002480779,0.0010593202,0.000031876316],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011414877,0.0066586975,0.50470555,0.00012895225,0.0011173256,0.0008189771,0.0435728,0.0035947955,0.0012437543,0.000067338646,0.10330435,0.3233726],"study_design_scores_gemma":[0.009094744,0.0022138504,0.14987312,0.00009998623,0.00042795233,0.0000052898113,0.033701003,0.0009211489,0.000059260983,0.000007470467,0.8031208,0.0004753909],"about_ca_topic_score_codex":0.012496602,"about_ca_topic_score_gemma":0.003115745,"teacher_disagreement_score":0.69981647,"about_ca_system_score_codex":0.0014660588,"about_ca_system_score_gemma":0.001807606,"threshold_uncertainty_score":0.9999014},"labels":[],"label_agreement":null},{"id":"W4307974249","doi":"10.2196/43856","title":"Correction: A Web-Based Prostate Cancer–Specific Holistic Needs Assessment (CHAT-P): Multimethod Study From Concept to Clinical Practice","year":2022,"lang":"en","type":"erratum","venue":"JMIR Cancer","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Prostate cancer; Computer science; Medicine; Psychology; World Wide Web; Internal medicine; Cancer","score_opus":0.08587186602891425,"score_gpt":0.4059449871995473,"score_spread":0.320073121170633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307974249","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010699208,0.090983436,0.003126817,0.009464983,0.67407656,0.013778657,0.037469525,0.0006770989,0.15972373],"genre_scores_gemma":[0.10510423,0.031192314,0.008094539,0.027536126,0.0530288,0.03889866,0.0028982307,0.0014452108,0.73180187],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9930438,0.00036417556,0.0029252693,0.0022426986,0.0003261206,0.0010979753],"domain_scores_gemma":[0.9934148,0.0010300283,0.003049325,0.0015602796,0.0003370946,0.00060844567],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017726076,0.001020214,0.0027016916,0.0008151353,0.00051830447,0.00051021494,0.0011418076,0.0007683981,0.02011718],"category_scores_gemma":[0.000738615,0.0012622573,0.00063530967,0.00113394,0.00019800288,0.0006106381,0.0004263314,0.0034277798,0.0005277347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005848092,0.0011046809,0.022895718,0.000041606836,0.0005730219,0.00004957726,0.002201542,0.001771468,5.5495724e-7,0.0003230317,0.9406119,0.029842062],"study_design_scores_gemma":[0.0035271903,0.0009961938,0.060601175,0.0001754708,0.00014940627,0.0000017966904,0.0017180146,0.0026237536,8.3318974e-7,0.00016988452,0.92862344,0.0014128229],"about_ca_topic_score_codex":0.013575495,"about_ca_topic_score_gemma":0.0016702587,"teacher_disagreement_score":0.62104774,"about_ca_system_score_codex":0.0042632697,"about_ca_system_score_gemma":0.002624673,"threshold_uncertainty_score":0.99955916},"labels":[],"label_agreement":null},{"id":"W4309161410","doi":"10.2196/40600","title":"Esophagogastroduodenoscopy Screening Intentions During the COVID-19 Pandemic in Japan: Web-Based Survey","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Norwegian Institute of Public Health","keywords":"Esophagogastroduodenoscopy; Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Medicine; Outbreak; Internal medicine; Endoscopy","score_opus":0.12870817604780882,"score_gpt":0.439241701104853,"score_spread":0.3105335250570442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309161410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9745113,0.00086211535,0.00016879481,0.022888683,0.00027730485,0.0009089546,0.00021127779,0.00012404751,0.000047526202],"genre_scores_gemma":[0.9820177,0.0000621676,0.000039933006,0.016133033,0.00018569545,0.0008780822,0.000048274465,0.000031157946,0.0006039879],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99801326,0.00034243072,0.00031611085,0.00033976458,0.00052690954,0.00046152866],"domain_scores_gemma":[0.9987529,0.00036018356,0.00011135097,0.00039388434,0.000070845614,0.00031084535],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011130284,0.00015562317,0.0002753681,0.00026192234,0.00048525474,0.000021056821,0.0001868092,0.00005161514,0.0016123737],"category_scores_gemma":[0.00050216855,0.00012806128,0.00009760534,0.00074683357,0.00007458494,0.00005449485,0.000118190466,0.00073920644,0.000006915771],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008424547,0.00007377774,0.9900057,0.0001711588,0.000020788433,0.00003369933,0.0005901112,0.00286083,0.0014832423,0.0000069592757,0.0031800107,0.0007312824],"study_design_scores_gemma":[0.003367971,0.00015914802,0.97003067,0.000063352636,0.000018623916,0.00003335036,0.00043481737,0.00087524217,0.000036090794,0.0000063439047,0.02486234,0.000112055],"about_ca_topic_score_codex":0.015081289,"about_ca_topic_score_gemma":0.02626922,"teacher_disagreement_score":0.02168233,"about_ca_system_score_codex":0.0018892641,"about_ca_system_score_gemma":0.0026254077,"threshold_uncertainty_score":0.9993003},"labels":[],"label_agreement":null},{"id":"W4310787132","doi":"10.2196/42783","title":"Use of Online Health Forums by People Living With Breast Cancer During the COVID-19 Pandemic: Thematic Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; University of Sheffield","keywords":"Thematic analysis; Breast cancer; Loneliness; Pandemic; Anxiety; Distress; Empathy; Psychology; Medicine; Coronavirus disease 2019 (COVID-19); Qualitative research; Cancer; Family medicine; Sociology; Social psychology; Psychiatry; Clinical psychology; Disease","score_opus":0.08590613163832198,"score_gpt":0.4218303135269627,"score_spread":0.3359241818886407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310787132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9377463,0.001813074,0.00014307402,0.057714004,0.000055757377,0.0009328142,0.0015231529,0.00006700402,0.000004835564],"genre_scores_gemma":[0.97526765,0.0010378432,0.000035389727,0.021986537,0.000116906755,0.0004900482,0.00004490152,0.00003510604,0.0009856295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980371,0.00016058517,0.00040945623,0.00031835778,0.00060192734,0.00047259283],"domain_scores_gemma":[0.9982002,0.0004226484,0.00039021453,0.0004864555,0.00009780286,0.00040272402],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003908881,0.00018560843,0.0006262696,0.00021215998,0.00044830446,0.00001769696,0.00015275255,0.000038374423,0.0018336185],"category_scores_gemma":[0.000090181136,0.00011731973,0.00015670693,0.0014310778,0.000060453858,0.00009126426,0.00011897896,0.00039004377,5.632748e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035201773,0.00021108484,0.9771435,0.0014549642,0.0005575073,0.0000041073563,0.008584298,0.003489761,0.00024036382,0.0000055278188,0.005455246,0.0025016018],"study_design_scores_gemma":[0.0010601431,0.00023640765,0.9837816,0.00027440963,0.0004601308,0.000110315574,0.0033701565,0.0011884045,0.0000072995144,0.0000040402124,0.009329912,0.00017717798],"about_ca_topic_score_codex":0.0833769,"about_ca_topic_score_gemma":0.101901695,"teacher_disagreement_score":0.037521355,"about_ca_system_score_codex":0.0021384754,"about_ca_system_score_gemma":0.002869223,"threshold_uncertainty_score":0.99907887},"labels":[],"label_agreement":null},{"id":"W4310943831","doi":"10.2196/39271","title":"Using Wearable Inertial Sensors to Assess Mobility of Patients With Hematologic Cancer and Associations With Chemotherapy-Related Symptoms Before Autologous Hematopoietic Stem Cell Transplant: Cross-sectional Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer-related cognitive impairment studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; Knight Cancer Institute, Oregon Health and Science University; National Institutes of Health; Small Business Innovation Research","keywords":"Medicine; Sagittal plane; Coronal plane; Breast cancer; Physical therapy; STRIDE; Physical medicine and rehabilitation; Internal medicine; Cancer","score_opus":0.02402816539585372,"score_gpt":0.316525710713154,"score_spread":0.29249754531730027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310943831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99567205,0.0001916164,0.000016817703,0.0001415391,0.00016157373,0.0030926915,0.000580613,0.00008077926,0.00006232446],"genre_scores_gemma":[0.9981168,0.0000116919155,0.00002893963,0.00012757919,0.000026769489,0.0013450758,0.000022975424,0.000045937195,0.0002742468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99783957,0.00009560364,0.0004629596,0.0005322599,0.0007077611,0.00036184097],"domain_scores_gemma":[0.9989324,0.00006432895,0.000319261,0.00019428226,0.00037794295,0.00011177189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001749691,0.00028188652,0.00061530556,0.00014642696,0.0004276228,0.000020498794,0.00007962293,0.00008743258,0.00029669222],"category_scores_gemma":[0.0000042507468,0.00021888998,0.00006523396,0.0006447598,0.00016629901,0.00009003693,0.000059140228,0.0003708895,7.7439205e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018041064,0.0014498571,0.9824381,0.0001756471,0.0007217995,0.000014782666,0.0063352166,0.006708878,0.00019205641,0.0000025846803,0.000018792942,0.00013818055],"study_design_scores_gemma":[0.0074350997,0.0023520489,0.9875041,0.00014425577,0.00033978056,0.00002420183,0.0011151644,0.00033839265,0.000484649,0.000004071174,0.000019463434,0.0002387361],"about_ca_topic_score_codex":0.0008106362,"about_ca_topic_score_gemma":0.0003611677,"teacher_disagreement_score":0.0063704853,"about_ca_system_score_codex":0.0009824843,"about_ca_system_score_gemma":0.00031740603,"threshold_uncertainty_score":0.89260745},"labels":[],"label_agreement":null},{"id":"W4310947449","doi":"10.2196/42245","title":"How TikTok Is Being Used to Help Individuals Cope With Breast Cancer: Cross-sectional Content Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Breast cancer; Content analysis; Coping (psychology); Breast cancer awareness; Social support; Cross-sectional study; Popularity; Medicine; Social media; Cancer; Psychology; Family medicine; Clinical psychology; Social psychology; Internal medicine; Pathology; Computer science; World Wide Web","score_opus":0.15581256078574032,"score_gpt":0.44018487207674634,"score_spread":0.28437231129100604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310947449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9513803,0.00018583749,0.000017699329,0.043204285,0.0027132172,0.0015770008,0.00057619065,0.00007140681,0.00027405555],"genre_scores_gemma":[0.9791086,0.000047763027,0.00006292632,0.0023357663,0.0016699526,0.0147344945,0.000023506138,0.000021074635,0.001995934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99733174,0.0002303146,0.00022674951,0.00042843667,0.0012687905,0.0005139488],"domain_scores_gemma":[0.99863976,0.00028646947,0.00022565247,0.00017990216,0.0003662752,0.00030194127],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006370031,0.00013349357,0.00026283582,0.00024437823,0.00161292,0.00026906654,0.00032311855,0.00007435389,0.004871185],"category_scores_gemma":[0.0001022054,0.00013492708,0.00010206393,0.0024833926,0.00016488136,0.00025492252,0.0000696303,0.0002473008,0.0000105300305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003944885,0.00004541883,0.9450951,0.000010945176,0.00019034196,8.0476497e-7,0.048235863,0.00024492852,0.000024286179,0.0002637368,0.0024134067,0.0034357114],"study_design_scores_gemma":[0.0002538458,0.00003914776,0.8791301,0.000010206973,0.00007544281,4.98064e-7,0.0075401473,0.000009829859,0.000030425925,0.000033430908,0.112704694,0.00017221173],"about_ca_topic_score_codex":0.07576221,"about_ca_topic_score_gemma":0.040078025,"teacher_disagreement_score":0.11029129,"about_ca_system_score_codex":0.0024991396,"about_ca_system_score_gemma":0.0016854712,"threshold_uncertainty_score":0.99968684},"labels":[],"label_agreement":null},{"id":"W4312432050","doi":"10.2196/42250","title":"Remote Monitoring of Colorectal Cancer Survivors Using a Smartphone App and Internet of Things–Based Device: Development and Usability Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Stoma care and complications","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Usability; Computer science; Software; Android (operating system); The Internet; Embedded system; Multimedia; World Wide Web; Operating system","score_opus":0.047212807467750466,"score_gpt":0.3550301538635333,"score_spread":0.30781734639578284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312432050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981949,0.00090159994,0.00006812753,0.00006339185,0.00012782487,0.00056766364,0.000008988838,0.000016273003,0.000051262956],"genre_scores_gemma":[0.9981682,0.000009158351,0.0015040024,0.0000434766,0.00002306201,0.0002027463,0.0000020403045,0.000010717032,0.00003661151],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918777,0.000041710526,0.00023710124,0.00020775579,0.00022392419,0.00010176571],"domain_scores_gemma":[0.99954736,0.000052207084,0.00011797259,0.00012622178,0.000106703075,0.000049515857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017331207,0.00008676554,0.00024021731,0.00006761237,0.00007321247,0.0000044125372,0.000053417585,0.000020490097,0.000066493136],"category_scores_gemma":[0.000012223159,0.00008367254,0.00002337953,0.00022323427,0.000056903205,0.0000312307,0.00011135625,0.00011184649,7.632784e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023738197,0.00017108515,0.9573069,0.00015992731,0.00008254774,0.0000021477815,0.008701034,0.000034498487,0.0098745,0.0000015681906,0.00001291905,0.023415493],"study_design_scores_gemma":[0.0009118542,0.00020110191,0.9752778,0.00012207872,0.00007420872,0.000005222528,0.0035383129,0.0018722113,0.017429367,0.0000037738812,0.0004719146,0.000092190756],"about_ca_topic_score_codex":0.010371211,"about_ca_topic_score_gemma":0.0008472714,"teacher_disagreement_score":0.023323301,"about_ca_system_score_codex":0.00024576744,"about_ca_system_score_gemma":0.00028431675,"threshold_uncertainty_score":0.9962188},"labels":[],"label_agreement":null},{"id":"W4312784796","doi":"10.2196/39645","title":"Using Text Messages and Fotonovelas to Increase Return of Home-Mailed Colorectal Cancer Screening Tests: Mixed Methods Evaluation","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Family medicine; Test (biology); Intervention (counseling); Colorectal cancer; Text messaging; Cancer screening; Nursing; Cancer; Internal medicine; Internet privacy","score_opus":0.06296016906233269,"score_gpt":0.42408270428416,"score_spread":0.3611225352218273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312784796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918269,0.003278578,0.001994973,0.00042930842,0.00053042395,0.0013945382,0.000086450345,0.00007359543,0.00038526737],"genre_scores_gemma":[0.9840847,0.000048522437,0.012882509,0.00026411298,0.00023279821,0.0022205454,0.000014373115,0.000043032782,0.00020940985],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9978575,0.00038422743,0.00035928687,0.00046774052,0.0006484491,0.00028281243],"domain_scores_gemma":[0.99887323,0.00018658645,0.00023014258,0.0002104406,0.00030862453,0.00019097883],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012229345,0.00020672525,0.0004587537,0.00033827004,0.0002644881,0.000022639353,0.000089257286,0.00008038008,0.0009215257],"category_scores_gemma":[0.00022977927,0.00020535753,0.000098693636,0.00097552215,0.00006698543,0.00011029983,0.00020577924,0.0002934417,3.8670575e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013697991,0.00014165702,0.08687825,0.00020041195,0.00034791135,0.000010927983,0.0023308815,0.006999697,0.31206164,0.000013148391,0.0019739475,0.57534355],"study_design_scores_gemma":[0.008634295,0.005536565,0.74180925,0.00074588484,0.0012978023,0.00019067797,0.0039035387,0.13497967,0.090282075,0.00014454288,0.011545603,0.00093007647],"about_ca_topic_score_codex":0.0066599967,"about_ca_topic_score_gemma":0.0013425453,"teacher_disagreement_score":0.654931,"about_ca_system_score_codex":0.0008672994,"about_ca_system_score_gemma":0.00050206087,"threshold_uncertainty_score":0.9999918},"labels":[],"label_agreement":null},{"id":"W4313236956","doi":"10.2196/42908","title":"Identification and Potential Use of Clusters of Patients With Colorectal Cancer and Patients With Prostate Cancer in Clinical Practice: Explorative Mixed Methods Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Prostate cancer; Medicine; Survivorship curve; Colorectal cancer; Usability; Population; Cancer; Oncology; Cluster (spacecraft); Family medicine; Internal medicine","score_opus":0.02651891413545887,"score_gpt":0.39584254089574883,"score_spread":0.36932362676028996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313236956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956142,0.0003969818,0.00003124009,0.00020514107,0.00044593005,0.0027583987,0.0005327085,0.0000097875845,0.0000056300873],"genre_scores_gemma":[0.9968667,0.00021309193,0.00021404613,0.000102787744,0.000030049872,0.0024299512,0.000043688517,0.00003184431,0.00006782438],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977221,0.00049625116,0.0005576751,0.0004492928,0.00059274887,0.00018196343],"domain_scores_gemma":[0.9983192,0.00015593981,0.0006274228,0.0001853797,0.00062000536,0.00009205787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044585366,0.00017843585,0.00048939587,0.00013590527,0.00007377605,0.000018137378,0.000059038328,0.00004662953,0.000058490223],"category_scores_gemma":[0.000062340885,0.00013844205,0.000034095887,0.00045364164,0.00019233531,0.0003575298,0.00011852199,0.00028735536,5.0963905e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018666642,0.0012435709,0.9212538,0.0001316997,0.00029511043,0.000005052006,0.014379195,0.00024409563,0.00008352533,0.0000012107521,0.000101346835,0.043594733],"study_design_scores_gemma":[0.0077856937,0.002525235,0.9780475,0.000119968536,0.0003560163,5.5779384e-7,0.010168246,0.00011312798,0.0001975196,0.0000017912856,0.00052259356,0.00016173687],"about_ca_topic_score_codex":0.004484021,"about_ca_topic_score_gemma":0.0102141285,"teacher_disagreement_score":0.056793693,"about_ca_system_score_codex":0.00023360152,"about_ca_system_score_gemma":0.00032928723,"threshold_uncertainty_score":0.67785287},"labels":[],"label_agreement":null},{"id":"W4313451525","doi":"10.2196/42334","title":"Telehealth Use Following COVID-19 Within Patient-Sharing Physician Networks at a Rural Comprehensive Cancer Center: Cross-sectional Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health","keywords":"Telehealth; Medicine; Family medicine; Logistic regression; Odds; Pandemic; Health care; Telemedicine; Coronavirus disease 2019 (COVID-19); Internal medicine; Disease","score_opus":0.07984951068785438,"score_gpt":0.4375817235379515,"score_spread":0.3577322128500971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313451525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949786,0.00037636157,0.00019693037,0.0015029038,0.001216096,0.0011480988,0.00024142259,0.00030961246,0.000029969427],"genre_scores_gemma":[0.9757788,0.0003024172,0.000059053025,0.02001311,0.00088868104,0.00090799626,0.0013500609,0.000052619052,0.00064726727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99715936,0.00006490772,0.0007551951,0.00057324447,0.0006793981,0.0007678678],"domain_scores_gemma":[0.99831545,0.00014317723,0.00040954078,0.00034839887,0.00018157727,0.0006018698],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017436495,0.00028615183,0.00058358605,0.0004620906,0.0005494499,0.0000674947,0.00011120902,0.00011769459,0.0004918325],"category_scores_gemma":[0.000038074493,0.0002629853,0.00034482943,0.0020683948,0.00007176085,0.0002506744,0.00012958125,0.0003397746,0.000024269812],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037719612,0.00005583795,0.9696477,0.00019447814,0.00091872265,0.00006043985,0.0017402564,0.014800853,0.00018223924,0.000013166677,0.008654134,0.003354959],"study_design_scores_gemma":[0.0033951018,0.00018038168,0.9565194,0.00009665078,0.00035289917,0.0000083401355,0.0006691799,0.0129548395,0.000044199533,0.000010711206,0.025531754,0.0002364981],"about_ca_topic_score_codex":0.009828256,"about_ca_topic_score_gemma":0.006385674,"teacher_disagreement_score":0.01919981,"about_ca_system_score_codex":0.0017565012,"about_ca_system_score_gemma":0.00042362313,"threshold_uncertainty_score":0.99998224},"labels":[],"label_agreement":null},{"id":"W4318668465","doi":"10.2196/39631","title":"Policy Preferences Regarding Health Data Sharing Among Patients With Cancer: Public Deliberations","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute","keywords":"Deliberation; Health information exchange; Status quo; Health care; Data sharing; Public relations; Health policy; Public health; Business; Political science; Medicine; Psychology; Nursing; Health information; Alternative medicine","score_opus":0.45915507631486935,"score_gpt":0.5143252503035907,"score_spread":0.055170173988721316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318668465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793606,0.00030698968,0.000037885013,0.009872125,0.0013050906,0.003549182,0.0020409739,0.00036339572,0.003163749],"genre_scores_gemma":[0.9722174,0.0015792323,0.00014872798,0.009016095,0.0009977265,0.00569385,0.005906465,0.000066803004,0.0043736952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99680465,0.00021145117,0.0006623532,0.00066180975,0.00053702603,0.0011227278],"domain_scores_gemma":[0.9978541,0.0001096082,0.00044251196,0.0008613182,0.00023224161,0.00050022244],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00062584435,0.00020496137,0.0002938031,0.00028454015,0.0017945706,0.000041288215,0.00063316134,0.00009932705,0.00056892703],"category_scores_gemma":[0.00003515472,0.00015939142,0.000024464207,0.0010613825,0.00005147145,0.0006193405,0.00058835215,0.0004542384,0.00013157814],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036980633,0.000054659566,0.9291909,0.000849204,0.000030019568,3.4195799e-7,0.002430209,0.000033374075,5.7096634e-7,0.000562548,0.050320286,0.016490906],"study_design_scores_gemma":[0.0023597556,0.00025365854,0.8871974,0.0032853642,0.000016001342,5.2993233e-8,0.0017539925,0.001511357,0.0000032223236,0.00041429172,0.10281568,0.00038924746],"about_ca_topic_score_codex":0.028075151,"about_ca_topic_score_gemma":0.06478756,"teacher_disagreement_score":0.052495394,"about_ca_system_score_codex":0.0010354355,"about_ca_system_score_gemma":0.0026899166,"threshold_uncertainty_score":0.999505},"labels":[],"label_agreement":null},{"id":"W4319294688","doi":"10.2196/44693","title":"How I Built My Personal, Patient-Centered Health Care Team: Instead of Doctors, I Started With Students","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia; University of British Columbia","funders":"","keywords":"Multidisciplinary team; Health care; Psychology; Multidisciplinary approach; Nursing; Medical education; Medicine; Sociology","score_opus":0.0266152179049069,"score_gpt":0.4133579850690211,"score_spread":0.3867427671641142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319294688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99078816,0.0043830695,0.000030478972,0.002958019,0.00050934404,0.00092482846,0.00009842503,0.00009458557,0.00021307418],"genre_scores_gemma":[0.9941179,0.0015041627,0.0002737629,0.0017436701,0.0002449782,0.00020924595,0.00006909618,0.00003386312,0.001803311],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988177,0.00004658704,0.00018366898,0.00026027675,0.00039640613,0.000295406],"domain_scores_gemma":[0.9993482,0.000028774455,0.00016867367,0.00021510782,0.000119880686,0.00011935348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004795081,0.00015190132,0.00037958467,0.000107440464,0.00008790566,0.000008221939,0.00010969733,0.00007929232,0.000086649765],"category_scores_gemma":[0.000008506908,0.00010795047,0.00005879533,0.00034227959,0.00015465188,0.00007766929,0.000028334407,0.00019029657,0.0000041194385],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023613055,0.00049975654,0.7935122,0.0007487613,0.00053645385,0.00007264763,0.045899704,0.000020135849,0.000758235,0.00001684043,0.063087925,0.09248599],"study_design_scores_gemma":[0.01439583,0.007869115,0.330702,0.0012265941,0.0000881863,0.000031815776,0.030225787,0.0000538022,0.0011167707,0.00001014352,0.6138564,0.00042357153],"about_ca_topic_score_codex":0.00009306743,"about_ca_topic_score_gemma":0.00034732802,"teacher_disagreement_score":0.5507685,"about_ca_system_score_codex":0.00040543466,"about_ca_system_score_gemma":0.000383702,"threshold_uncertainty_score":0.44020927},"labels":[],"label_agreement":null},{"id":"W4321512821","doi":"10.2196/42044","title":"Categorization and Analysis of Primary Care mHealth Apps Related to Breast Health and Breast Cancer: Systematic Search in App Stores and Content Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Categorization; Breast cancer; mHealth; Inclusion (mineral); Descriptive statistics; Medicine; Content analysis; Health care; Inclusion and exclusion criteria; Internet privacy; Family medicine; Cancer; Computer science; Psychology; Alternative medicine; Nursing; Psychological intervention; Artificial intelligence; Pathology","score_opus":0.05965758610329819,"score_gpt":0.4369176773487221,"score_spread":0.3772600912454239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321512821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9674555,0.014192868,0.00011225321,0.00759995,0.00011288629,0.008374602,0.0019670485,0.00011510215,0.00006981182],"genre_scores_gemma":[0.9656813,0.018103508,0.000046083715,0.0013806617,0.00004152791,0.013833644,0.00061510544,0.00003171432,0.00026646696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961532,0.00069534505,0.0013780593,0.000642834,0.00037821487,0.0007523783],"domain_scores_gemma":[0.99742883,0.00034257091,0.00054644264,0.00040418335,0.0003820546,0.0008958847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012248979,0.00022231921,0.0013951875,0.0018201241,0.0005581229,0.000013142201,0.00011093407,0.00019194857,0.000047588077],"category_scores_gemma":[0.00002441867,0.00019706493,0.00006824346,0.006475606,0.00008199814,0.000089663765,0.00012279593,0.0003960315,0.0000050488397],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014481266,0.00003744325,0.9085803,0.053955745,0.00048196918,9.102275e-7,0.017045533,0.0006392151,0.00002383948,0.00057994603,0.00034563767,0.018164638],"study_design_scores_gemma":[0.0008220689,0.0000544761,0.9803591,0.0019632594,0.000620647,0.0000016735896,0.011568202,0.0043040714,3.760081e-7,0.0000106603275,0.00015123247,0.00014424008],"about_ca_topic_score_codex":0.03849238,"about_ca_topic_score_gemma":0.032500867,"teacher_disagreement_score":0.07177878,"about_ca_system_score_codex":0.0011177995,"about_ca_system_score_gemma":0.0017432902,"threshold_uncertainty_score":0.9851535},"labels":[],"label_agreement":null},{"id":"W4322392188","doi":"10.2196/42092","title":"Evaluating Barriers and Facilitators to the Uptake of mHealth Apps in Cancer Care Using the Consolidated Framework for Implementation Research: Scoping Literature Review","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Roche Italia","keywords":"mHealth; Implementation research; Observational study; Randomized controlled trial; Medicine; MEDLINE; Research design; Health care; Psychological intervention; Medical physics; Nursing; Surgery","score_opus":0.4105586010728543,"score_gpt":0.6869325073760568,"score_spread":0.2763739063032025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322392188","genre_codex":"empirical","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7052283,0.18354985,0.00020635469,0.053231116,0.0008587099,0.05462906,0.0021703318,0.00008214795,0.000044083856],"genre_scores_gemma":[0.32262748,0.24858725,0.0030336166,0.029577373,0.001045439,0.39460295,0.00026475225,0.000111628055,0.00014950606],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99659574,0.0009152925,0.00089810096,0.00037196683,0.00038379405,0.00083511637],"domain_scores_gemma":[0.99713755,0.0011709912,0.00029564623,0.00041242325,0.0007089382,0.00027444807],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004335037,0.00013337689,0.00031244633,0.00017607221,0.0016636548,0.00001381675,0.00020945992,0.0001382852,0.00016533808],"category_scores_gemma":[0.0006762027,0.00008730867,0.000038276787,0.0021808546,0.00007482535,0.00006150556,0.0001036074,0.00080799236,0.0000055175296],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038205806,0.000015899088,0.03787953,0.12642567,0.000049127757,0.0000010246362,0.19008493,0.00051748136,0.00029716603,0.007942922,0.07442663,0.56197757],"study_design_scores_gemma":[0.002638489,0.00036519096,0.04380756,0.19288643,0.00010966912,0.0000010954903,0.22711852,0.0018445738,0.00006259788,0.0021276472,0.52857643,0.00046181667],"about_ca_topic_score_codex":0.0020094553,"about_ca_topic_score_gemma":0.0074463906,"teacher_disagreement_score":0.56151575,"about_ca_system_score_codex":0.0005307799,"about_ca_system_score_gemma":0.0035626001,"threshold_uncertainty_score":0.99963605},"labels":[],"label_agreement":null},{"id":"W4322711400","doi":"10.2196/43126","title":"Extended Family Outreach in Hereditary Cancer Using Web-Based Genealogy, Direct-to-Consumer Ancestry Genetics, and Social Media: Mixed Methods Process Evaluation of the ConnectMyVariant Intervention","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Washington; Brigham Young University","keywords":"Outreach; Genealogy; Genetics; Hereditary Cancer; Social media; World Wide Web; Sociology; Biology; Computer science; Cancer; History; Political science","score_opus":0.0798933172292253,"score_gpt":0.4376489823367275,"score_spread":0.35775566510750223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322711400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990572,0.006641359,0.00020806462,0.00038538378,0.0012336959,0.0006749226,0.00022338571,0.000015620853,0.00004559878],"genre_scores_gemma":[0.99694496,0.0001935342,0.0010344199,0.00017369153,0.0003304534,0.0012013926,0.00006922235,0.00003575143,0.000016593873],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981217,0.0004870735,0.00035408954,0.00046581263,0.00031457993,0.00025678278],"domain_scores_gemma":[0.99912006,0.000047832313,0.00019399547,0.00025204042,0.00034348536,0.00004260849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009442116,0.00017949304,0.000230066,0.00012569096,0.00009362377,0.00001533799,0.00020021891,0.00020224924,0.00003182414],"category_scores_gemma":[0.00011968382,0.00016072758,0.0000886691,0.00049101276,0.00016539388,0.0000077068635,0.000109880784,0.000121499266,7.060556e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027248514,0.00014786731,0.035510663,0.0003184825,0.00025532933,0.0000023996738,0.0017918652,0.034010924,0.7004531,0.0000062384756,0.0029407854,0.22428986],"study_design_scores_gemma":[0.004344219,0.000080720405,0.5135144,0.000271305,0.0003514569,0.0000038307276,0.0021451444,0.058033314,0.41773668,0.00029284757,0.0026764034,0.0005496725],"about_ca_topic_score_codex":0.00032953004,"about_ca_topic_score_gemma":0.0053681233,"teacher_disagreement_score":0.47800374,"about_ca_system_score_codex":0.00024148308,"about_ca_system_score_gemma":0.0010160193,"threshold_uncertainty_score":0.65542805},"labels":[],"label_agreement":null},{"id":"W4322711856","doi":"10.2196/40113","title":"Therapist Feedback and Implications on Adoption of an Artificial Intelligence–Based Co-Facilitator for Online Cancer Support Groups: Mixed Methods Single-Arm Usability Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health; BC Cancer Agency; University of Toronto; University Health Network","funders":"","keywords":"Facilitator; Distress; Psychology; Usability; Applied psychology; Psychological intervention; Clinical psychology; Mental health; Medical education; Computer science; Social psychology; Medicine; Psychotherapist; Human–computer interaction; Psychiatry","score_opus":0.22707052048747234,"score_gpt":0.553072517619045,"score_spread":0.32600199713157263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322711856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98844564,0.00006401752,0.0018740747,0.0014648945,0.0010547881,0.0025805244,0.0042587942,0.00011328215,0.0001440116],"genre_scores_gemma":[0.9923435,0.0000034403472,0.0013866011,0.00020856476,0.00012234648,0.005296646,0.00035342175,0.00003405517,0.00025144126],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.997993,0.0002762489,0.0006975266,0.0005478894,0.00015664982,0.00032869927],"domain_scores_gemma":[0.99862933,0.0003753302,0.00021765447,0.00046997814,0.00016320182,0.00014451724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006992962,0.00018514525,0.00030119505,0.00016248802,0.00012338081,0.000029347388,0.00017250335,0.00009431635,0.00064070843],"category_scores_gemma":[0.00004834801,0.0001790006,0.00012278135,0.0004337636,0.00019090071,0.000121230274,0.000025894673,0.00012497044,0.000032275453],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012689393,0.010076999,0.008121869,0.00030656866,0.00013387391,9.168032e-7,0.0031514422,0.000083245235,0.0018450286,0.0026066736,0.0010980542,0.9713064],"study_design_scores_gemma":[0.0019219572,0.019800022,0.9244285,0.00023722545,0.00013875043,0.0000020415666,0.019403884,0.0013370862,0.010782884,0.014611964,0.006636579,0.000699107],"about_ca_topic_score_codex":0.00047212772,"about_ca_topic_score_gemma":0.0027906687,"teacher_disagreement_score":0.9706073,"about_ca_system_score_codex":0.00027653473,"about_ca_system_score_gemma":0.000096714524,"threshold_uncertainty_score":0.72994334},"labels":[],"label_agreement":null},{"id":"W4323529170","doi":"10.2196/44695","title":"Exploring Cancer Incidence, Risk Factors, and Mortality in the Lleida Region: Interactive, Open-source R Shiny Application for Cancer Data Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministerio de Economía y Competitividad; Generalitat de Catalunya; Universidad Técnica Federico Santa María","keywords":"Computer science; Population; Descriptive statistics; Analytics; Exploit; Web application; Cancer registry; Cloud computing; Data science; Database; World Wide Web; Medicine; Statistics; Computer security; Environmental health; Operating system","score_opus":0.22252933545137582,"score_gpt":0.4368407264154111,"score_spread":0.2143113909640353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323529170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99116796,0.0009410173,0.00056731614,0.0013089932,0.00016789223,0.0022463526,0.0034085151,0.00010420364,0.00008774677],"genre_scores_gemma":[0.981612,0.006249448,0.000047097703,0.00040840913,0.0003152061,0.009836767,0.0012950288,0.000037062273,0.00019894351],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979034,0.00013887785,0.0003701325,0.000879303,0.00036765455,0.0003405971],"domain_scores_gemma":[0.9976255,0.0003209515,0.0002980335,0.0015161764,0.00011132106,0.00012799514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006241768,0.00023443789,0.0005392846,0.00022160284,0.00016127522,0.00010229773,0.0008469009,0.000058490274,0.00008431715],"category_scores_gemma":[0.00016201193,0.00016910602,0.000092144495,0.0019170155,0.00009231524,0.0008784052,0.00056340377,0.0002715486,0.0000044751814],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023613784,0.000057742032,0.9684955,0.000109045424,0.0005982435,0.000007376343,0.001524373,0.00050605985,0.000052823427,0.000013694304,0.0072388784,0.021160139],"study_design_scores_gemma":[0.00072615553,0.000018850937,0.91399145,0.00013115976,0.00062675314,6.8164695e-7,0.0009732141,0.008914143,0.000049651302,0.00003424143,0.0743429,0.00019081376],"about_ca_topic_score_codex":0.05828079,"about_ca_topic_score_gemma":0.08562047,"teacher_disagreement_score":0.06710402,"about_ca_system_score_codex":0.0002830393,"about_ca_system_score_gemma":0.00023712602,"threshold_uncertainty_score":0.9479902},"labels":[],"label_agreement":null},{"id":"W4324293986","doi":"10.2196/39246","title":"Association of the Extent of Internet Use by Patients With Cancer With Social Support Among Patients and Change in Patient-Reported Treatment Outcomes During Inpatient Rehabilitation: Cross-sectional and Longitudinal Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Medicine; Social support; Cross-sectional study; The Internet; Distress; Social media; Cancer survivor; Cancer; Family medicine; Physical therapy; Clinical psychology; Psychology; Internal medicine","score_opus":0.026838190783125025,"score_gpt":0.32146455513763755,"score_spread":0.2946263643545125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324293986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99750406,0.000021038297,1.01684805e-7,0.00010054613,0.00019525069,0.0018863209,0.00027366553,0.00001398773,0.0000050518706],"genre_scores_gemma":[0.9982041,0.000016390128,0.0000017553214,0.000026077589,0.000021677322,0.0013879553,0.00006404237,0.000019333598,0.00025866047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984338,0.000054318494,0.00039508636,0.00030658772,0.0006197725,0.00019039538],"domain_scores_gemma":[0.9989572,0.00005618784,0.00044304825,0.000121797035,0.00036947159,0.000052300544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008099361,0.00016625664,0.00032466275,0.000107395084,0.000060114555,0.000017687387,0.000032070617,0.000060417915,0.00004156927],"category_scores_gemma":[0.000025996089,0.00010425357,0.00004753457,0.0003313207,0.00010358899,0.00017368874,0.00005170084,0.00008722755,9.9906245e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009779956,0.00081322156,0.97700524,0.000112926165,0.00027253907,0.0000022763563,0.019879337,0.0000052602945,0.0000044739936,3.3580113e-7,0.00006485038,0.00086155854],"study_design_scores_gemma":[0.0063074017,0.001967981,0.99078494,0.00011597019,0.00009610637,2.2406697e-7,0.0005347591,0.000005361214,0.00004713116,5.929815e-7,0.00003321818,0.00010631618],"about_ca_topic_score_codex":0.016289974,"about_ca_topic_score_gemma":0.043744136,"teacher_disagreement_score":0.027454162,"about_ca_system_score_codex":0.0007278617,"about_ca_system_score_gemma":0.00007237714,"threshold_uncertainty_score":0.99026066},"labels":[],"label_agreement":null},{"id":"W4324304769","doi":"10.2196/42890","title":"The Effect of Clinical Decision Prompts in Improving Human Papillomavirus Vaccination Rates in a Multispecialty Practice in a Predominantly Hispanic Population: Quasi-Experimental Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Specialty; Vaccination; Family medicine; Population; Electronic medical record; Medical record; Obstetrics and gynaecology; Cervix; Gynecology; Obstetrics; Internal medicine; Immunology; Cancer; Pregnancy; Environmental health","score_opus":0.048472208997253026,"score_gpt":0.5254011211407964,"score_spread":0.4769289121435434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324304769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99484384,0.00090570695,7.342755e-7,0.00017806364,0.000183401,0.0036305455,0.0000027557098,0.000019707248,0.0002352353],"genre_scores_gemma":[0.9979706,0.00015925454,0.000012566852,0.000018938832,0.00018955702,0.0015469309,0.000008642341,0.000020605323,0.00007291266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99727607,0.0005974482,0.00086919,0.0003857099,0.00056756695,0.00030402333],"domain_scores_gemma":[0.997731,0.0016653093,0.00018509413,0.00026310154,0.000089911366,0.00006561912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030091822,0.0001361416,0.0005023096,0.00025484478,0.000076249635,0.000026003516,0.00013470625,0.00010495197,0.00022081098],"category_scores_gemma":[0.0015933677,0.000093787654,0.00007588843,0.00095702754,0.000035848963,0.0001794979,0.00012626222,0.00046583512,0.000008197028],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0058462867,0.0013729436,0.74301654,0.00008946326,0.000012351745,0.000061807696,0.001151174,0.000023157181,0.00063824444,0.000009568838,0.000055556662,0.2477229],"study_design_scores_gemma":[0.012085943,0.0048851846,0.9793152,0.000117106,0.000013886558,0.0000013601737,0.00089219055,0.0017460581,0.0007184497,0.000017368433,0.00012048061,0.00008672281],"about_ca_topic_score_codex":0.00725019,"about_ca_topic_score_gemma":0.033876587,"teacher_disagreement_score":0.24763617,"about_ca_system_score_codex":0.0005314991,"about_ca_system_score_gemma":0.00013488614,"threshold_uncertainty_score":0.9993606},"labels":[],"label_agreement":null},{"id":"W4327524173","doi":"10.2196/41740","title":"Navigating the Cancer Journey Using Web-Based Information: Grounded Theory Emerging From the Lived Experience of Cancer Patients and Informal Caregivers With Implications for Web-Based Content Design","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Manitoba; University of Calgary","funders":"","keywords":"Grounded theory; The Internet; Psychosocial; Focus group; Informed consent; Psychology; Medicine; World Wide Web; Qualitative research; Alternative medicine; Computer science; Sociology; Psychotherapist","score_opus":0.07193330143839316,"score_gpt":0.34956915182520654,"score_spread":0.2776358503868134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327524173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99130374,0.00080885296,0.0022848968,0.0028691539,0.00034213232,0.0017687103,0.0005205113,0.000065729495,0.000036286212],"genre_scores_gemma":[0.9938277,0.00015431496,0.00015773294,0.0021958286,0.00013296086,0.0034104863,0.00007806262,0.000026143833,0.000016794518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866784,0.00007303057,0.00037977198,0.00020659117,0.00034843758,0.0003243401],"domain_scores_gemma":[0.99814016,0.00043975032,0.00039404834,0.0003094326,0.00061676156,0.00009987648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025978682,0.00021004687,0.00026275884,0.000048917424,0.0004907337,0.00006924047,0.00021180602,0.0000697585,0.0000837539],"category_scores_gemma":[0.00005241409,0.00012513086,0.00009598901,0.00051678263,0.000258343,0.00031856517,0.000043242115,0.00024238441,5.548007e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0041595986,0.00007373664,0.71202666,0.0005058984,0.0005066532,0.0000014387915,0.12572987,0.01748916,0.0061016725,0.00015826695,0.0016072231,0.13163982],"study_design_scores_gemma":[0.015422352,0.00047049875,0.81692773,0.003485381,0.0007325213,0.0000019308638,0.08740224,0.053741045,0.008031503,0.000045491408,0.013007375,0.0007319346],"about_ca_topic_score_codex":0.014547565,"about_ca_topic_score_gemma":0.006881799,"teacher_disagreement_score":0.1309079,"about_ca_system_score_codex":0.0002836383,"about_ca_system_score_gemma":0.0011134212,"threshold_uncertainty_score":0.99201465},"labels":[],"label_agreement":null},{"id":"W4327852818","doi":"10.2196/43024","title":"Tailoring a Text Messaging and Fotonovela Program to Increase Patient Engagement in Colorectal Cancer Screening in a Large Urban Community Clinic Population: Quality Improvement Project","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Population; Family medicine; Intervention (counseling); Ethnic group; Health equity; Gerontology; Psychology; Nursing; Public health; Environmental health","score_opus":0.07387725850775217,"score_gpt":0.4129911751558744,"score_spread":0.33911391664812224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327852818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994589,0.00023123043,0.00002755712,0.0004728247,0.00015960827,0.0038640369,0.00004352546,0.00024597492,0.0003662647],"genre_scores_gemma":[0.9886004,0.00006223125,0.00026016444,0.00034309376,0.00010059895,0.010418461,0.000045383178,0.00003489251,0.00013483017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976482,0.00036848083,0.00061592,0.00044938378,0.00037858495,0.0005394373],"domain_scores_gemma":[0.99922436,0.00014101116,0.00016516281,0.00023627929,0.00007726546,0.00015590516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016869028,0.00023680834,0.00044217496,0.0004987996,0.00023171224,0.000049966002,0.00008468422,0.00009949593,0.000051967567],"category_scores_gemma":[0.0001283716,0.00023462209,0.000074120566,0.0014780593,0.000028073042,0.00013857469,0.0003060343,0.00078637653,0.0000029909856],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033464904,0.00032863577,0.76228124,0.00026087745,0.000055931854,0.000016080478,0.0067164404,0.00011540357,0.0007261226,0.0000057076154,0.00024750564,0.22589959],"study_design_scores_gemma":[0.0031908203,0.002027569,0.9829301,0.0008306856,0.000031641768,0.0000021623418,0.0038138898,0.0033305876,0.00054576516,0.0000082997,0.0030090641,0.00027940175],"about_ca_topic_score_codex":0.07516451,"about_ca_topic_score_gemma":0.047207735,"teacher_disagreement_score":0.2256202,"about_ca_system_score_codex":0.00078283635,"about_ca_system_score_gemma":0.00018367132,"threshold_uncertainty_score":0.97017825},"labels":[],"label_agreement":null},{"id":"W4328029220","doi":"10.2196/43609","title":"Scanxiety Conversations on Twitter: Observational Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Social media; Demographics; Observational study; Theme (computing); Conversation; Thematic analysis; Psychology; Medicine; Computer science; Qualitative research; World Wide Web; Demography; Sociology; Communication; Pathology","score_opus":0.1767269507292611,"score_gpt":0.4131818187377625,"score_spread":0.2364548680085014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4328029220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98756635,0.000039599596,0.0000036629242,0.006312764,0.00082029385,0.00064968975,0.000055403612,0.00017918892,0.004373046],"genre_scores_gemma":[0.9847305,0.00003386014,0.0000039795855,0.003232303,0.0004663134,0.00081022497,0.00007209688,0.000018331548,0.010632436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915075,0.00001934282,0.00012231387,0.00020904109,0.00034031452,0.00015823061],"domain_scores_gemma":[0.99953526,0.000038801343,0.00003129755,0.00022115633,0.00009630958,0.00007719501],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008542468,0.000090339054,0.000134234,0.00008316027,0.000069422575,0.000013350273,0.000053774053,0.000038038568,0.0014639809],"category_scores_gemma":[0.000011595538,0.00008016945,0.00006585175,0.000501362,0.000023789591,0.000039919963,0.000021935884,0.0001197377,0.0003055159],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012648688,0.00014719338,0.8501417,0.000034013923,0.00007754888,0.00001667152,0.0047739497,0.000047947186,0.00018349318,0.000166989,0.1405483,0.0037357132],"study_design_scores_gemma":[0.00094460126,0.00017149386,0.8753696,0.00004162622,0.00003184092,9.202011e-7,0.0030190814,0.00008815676,0.000081027305,0.000032247055,0.12013328,0.0000861304],"about_ca_topic_score_codex":0.0010738185,"about_ca_topic_score_gemma":0.0021852653,"teacher_disagreement_score":0.025227904,"about_ca_system_score_codex":0.00013266562,"about_ca_system_score_gemma":0.00017542324,"threshold_uncertainty_score":0.99944884},"labels":[],"label_agreement":null},{"id":"W4361001815","doi":"10.2196/45011","title":"Patient and Caregiver Perceptions of Advanced Bladder Cancer Systemic Treatments: Infodemiology Study Based on Social Media Data","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Merck KGaA; Pfizer","keywords":"Social media; Medicine; Perception; Family medicine; Cancer; Internal medicine; Psychology; Political science","score_opus":0.17807573273904398,"score_gpt":0.4859318205350519,"score_spread":0.3078560877960079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361001815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991619,0.00034044657,0.0000017930367,0.0021280898,0.0031412474,0.0021919077,0.0003568485,0.000079604244,0.00014105556],"genre_scores_gemma":[0.9918097,0.0010344366,0.000013503291,0.00016824345,0.0007733838,0.006078853,0.0000638925,0.000016781009,0.000041200474],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99818397,0.00042600583,0.00029211584,0.00036107455,0.0004124483,0.00032440654],"domain_scores_gemma":[0.99799544,0.0012605098,0.00020924372,0.0002726321,0.00014735982,0.000114794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032654905,0.0001223041,0.0002773607,0.00013237534,0.00041323403,0.000011031855,0.00020987538,0.00013122353,0.0003124213],"category_scores_gemma":[0.000626978,0.00011660713,0.000029590261,0.0005776592,0.00025602969,0.0001414736,0.000059042115,0.00012395228,0.00001428252],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007251824,0.00024124385,0.3701412,0.000065935405,0.00006199399,0.0000017060834,0.4621194,0.00019284495,0.00003107484,0.00007479696,0.005870145,0.16112714],"study_design_scores_gemma":[0.00088392815,0.00012016044,0.8048167,0.00009437098,0.000081087834,6.494908e-8,0.18858948,0.00015056595,0.0000017242257,0.000029598708,0.0050758375,0.00015648395],"about_ca_topic_score_codex":0.0137195485,"about_ca_topic_score_gemma":0.02159374,"teacher_disagreement_score":0.43467548,"about_ca_system_score_codex":0.00065442675,"about_ca_system_score_gemma":0.0008785388,"threshold_uncertainty_score":0.9962596},"labels":[],"label_agreement":null},{"id":"W4361002794","doi":"10.2196/45707","title":"Using Health-Related Social Media to Understand the Experiences of Adults With Lung Cancer in the Era of Immuno-Oncology and Targeted Therapies: Observational Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Social media; Lung cancer; Observational study; Disease; Family medicine; Internal medicine; Oncology; Physical therapy; World Wide Web","score_opus":0.24174502994313693,"score_gpt":0.49443165517533993,"score_spread":0.252686625232203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361002794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9742082,0.001953996,0.0000014976315,0.020171946,0.0011733344,0.002444206,0.0000122578585,0.00001345381,0.000021149566],"genre_scores_gemma":[0.9967187,0.00037632696,0.000031439387,0.0002512827,0.0002569236,0.00235258,0.0000022335564,0.000007999711,0.0000024851918],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99808097,0.0006455754,0.00035083675,0.00015945875,0.0005053765,0.00025780805],"domain_scores_gemma":[0.9978217,0.0016035553,0.00029363736,0.000081533915,0.00015805589,0.00004154358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012342826,0.00007884143,0.0002233929,0.00006415355,0.00049682864,0.000014128259,0.00021221078,0.00007063391,0.00009814475],"category_scores_gemma":[0.00024990953,0.00005020401,0.000018262335,0.0015707423,0.00045291404,0.00009452463,0.000019800793,0.00015575017,1.5011894e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009948449,0.000053656306,0.064007424,0.00002664075,0.000021454887,2.7557948e-7,0.9291367,0.000044175908,0.000015729116,0.00026544268,0.00019227843,0.0061367154],"study_design_scores_gemma":[0.00030431355,0.000060723796,0.35890514,0.00005220267,0.00000571153,4.7989904e-8,0.64036983,0.000045470115,0.0000026747907,0.00008053339,0.00013468992,0.000038652815],"about_ca_topic_score_codex":0.044791028,"about_ca_topic_score_gemma":0.103408165,"teacher_disagreement_score":0.2948977,"about_ca_system_score_codex":0.0005095855,"about_ca_system_score_gemma":0.0022564316,"threshold_uncertainty_score":0.9615698},"labels":[],"label_agreement":null},{"id":"W4361270910","doi":"10.2196/41441","title":"Developing an e-Prehabilitation System of Care for Young Adults Diagnosed With Cancer: User-Centered Design Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Beatson Cancer Charity","keywords":"Prehabilitation; Psychological intervention; Health care; Digital health; Young adult; Medicine; Nursing; Gerontology; Psychology; Physical therapy","score_opus":0.05759927905768278,"score_gpt":0.3799297910616568,"score_spread":0.322330512003974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361270910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98931086,0.00061545876,0.0013142141,0.00053047814,0.0005368126,0.007160189,0.00020035241,0.00031326135,0.00001834401],"genre_scores_gemma":[0.9896861,0.00006614212,0.0020947715,0.00012245598,0.00033598757,0.007468183,0.00008731695,0.00008152328,0.00005757458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977309,0.00019393576,0.0005574711,0.00056531996,0.00058285927,0.000369524],"domain_scores_gemma":[0.9981018,0.00029355683,0.00028574336,0.0004866528,0.00068780524,0.00014446303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004174613,0.00025484405,0.000658128,0.0001854137,0.00012593695,0.00002171604,0.00017359386,0.0000860402,0.000015497099],"category_scores_gemma":[0.00008790089,0.00022326475,0.00009435585,0.0006121258,0.000052581705,0.00017713968,0.00003547339,0.000112407724,0.0000033626652],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007217383,0.00044741968,0.76307446,0.012838602,0.0005302901,0.000028294482,0.20158835,0.00096148165,0.00033712565,0.00009128433,0.0015380972,0.0113472175],"study_design_scores_gemma":[0.012378928,0.004007831,0.7764084,0.006926765,0.00026769176,0.0000035468963,0.19689621,0.0006506891,0.0013194908,0.0000050089743,0.00069908646,0.00043639517],"about_ca_topic_score_codex":0.007944544,"about_ca_topic_score_gemma":0.030201592,"teacher_disagreement_score":0.022257047,"about_ca_system_score_codex":0.0008589466,"about_ca_system_score_gemma":0.0008062702,"threshold_uncertainty_score":0.99866164},"labels":[],"label_agreement":null},{"id":"W4361981279","doi":"10.2196/40917","title":"Exploring the Acceptability of Text Messages to Inform and Support Shared Decision-making for Colorectal Cancer Screening: Online Panel Survey","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Colorectal cancer; Computer science; Colorectal cancer screening; Medicine; Psychology; Cancer; Internal medicine; Colonoscopy","score_opus":0.5776633833400067,"score_gpt":0.5280298924517086,"score_spread":0.04963349088829805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361981279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871761,0.00039641545,0.000077827615,0.004369839,0.0008060424,0.0039491635,0.002973344,0.0001276075,0.00012366322],"genre_scores_gemma":[0.98425376,0.00040451688,0.0011070055,0.00075605273,0.00014082027,0.01295298,0.00014339435,0.00004234876,0.00019910892],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99755514,0.0003384273,0.00085009506,0.00034283704,0.00036853048,0.0005449618],"domain_scores_gemma":[0.9924033,0.005651448,0.00037969326,0.0006587316,0.0007538034,0.00015298235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093748106,0.00018114963,0.0003746959,0.00015893178,0.0009403453,0.000016178223,0.0005433658,0.000112200614,0.00089487777],"category_scores_gemma":[0.0019190906,0.00013821344,0.00006835157,0.0009540073,0.000087334396,0.0003256076,0.00070102204,0.00042351714,0.000012534249],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006776145,0.000026096099,0.6372073,0.0004734646,0.00003732911,2.3286022e-7,0.034353215,0.00018020673,0.000032888103,0.000026235963,0.007112936,0.31987247],"study_design_scores_gemma":[0.00052028644,0.00007901507,0.9700973,0.00035867296,0.000010872242,1.316518e-7,0.013623449,0.0007218365,0.00003213659,0.00006742046,0.014343481,0.00014540437],"about_ca_topic_score_codex":0.0049994867,"about_ca_topic_score_gemma":0.036570895,"teacher_disagreement_score":0.33288997,"about_ca_system_score_codex":0.0002926199,"about_ca_system_score_gemma":0.0006866388,"threshold_uncertainty_score":0.9810092},"labels":[],"label_agreement":null},{"id":"W4362500934","doi":"10.2196/45432","title":"Engaging Men of Diverse Racial and Ethnic Groups With Advanced Prostate Cancer in the Design of an mHealth Diet and Exercise Intervention: Focus Group Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; University of California, San Francisco","keywords":"Ethnic group; Focus group; Intervention (counseling); mHealth; Prostate cancer; Cancer; Gerontology; Medicine; Psychology; Psychological intervention; Nursing; Internal medicine; Sociology","score_opus":0.04003726843372143,"score_gpt":0.368649020165433,"score_spread":0.3286117517317116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362500934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99292755,0.004673879,0.000024667697,0.00021019208,0.00009270838,0.0019692972,0.00004567531,0.000023126055,0.00003292385],"genre_scores_gemma":[0.9959582,0.0027034215,0.000025199024,0.000035231886,0.000054069573,0.0011514348,0.000006722284,0.000018963889,0.000046722562],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988453,0.00016199368,0.00024520923,0.0002697823,0.00027850832,0.00019922273],"domain_scores_gemma":[0.99946755,0.000061547544,0.00013748406,0.00019627687,0.00006997401,0.00006714779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006210356,0.0001344769,0.00034237388,0.00012070875,0.00005704017,0.000008761407,0.00007689624,0.00003612748,0.000032843225],"category_scores_gemma":[0.0000075390226,0.00009109964,0.000029703368,0.0005245311,0.00010432041,0.0001434106,0.000052306426,0.00018919927,1.7213151e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0133578405,0.00054731435,0.18915235,0.0013452814,0.00011158768,0.00007749137,0.2349965,0.0001999785,0.00061644526,0.000024320672,0.00010097175,0.55946994],"study_design_scores_gemma":[0.0073379516,0.004285099,0.8692225,0.0013566305,0.00021464848,0.000003389852,0.11659729,0.0003764395,0.00023759482,0.00008475097,0.000105599225,0.00017805766],"about_ca_topic_score_codex":0.005897275,"about_ca_topic_score_gemma":0.040046897,"teacher_disagreement_score":0.6800702,"about_ca_system_score_codex":0.00006828863,"about_ca_system_score_gemma":0.000071694914,"threshold_uncertainty_score":0.97746974},"labels":[],"label_agreement":null},{"id":"W4366121791","doi":"10.2196/44339","title":"Factors Associated With Online Patient-Provider Communications Among Cancer Survivors in the United States During COVID-19: Cross-sectional Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Health Information National Trends Survey; Logistic regression; Odds; Cross-sectional study; Cancer; Odds ratio; Family medicine; Coronavirus disease 2019 (COVID-19); Health care; Gerontology; Demography; Internal medicine; Health information; Disease","score_opus":0.16019874718535118,"score_gpt":0.4587049311516261,"score_spread":0.29850618396627493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366121791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99331737,0.00006581526,0.0000021311755,0.003947203,0.00012437504,0.0019488486,0.00042453792,0.00015859313,0.00001113168],"genre_scores_gemma":[0.99287015,0.00013427464,0.0000031007212,0.002310633,0.000075335854,0.0014495811,0.0029750324,0.000030670304,0.00015121144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981059,0.00023186501,0.00048193586,0.00026172816,0.0005555913,0.00036297186],"domain_scores_gemma":[0.9985343,0.00044876282,0.0002400355,0.0004112009,0.00020056055,0.00016510235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000344451,0.00017463764,0.00023053949,0.00035666383,0.00041080036,0.000035054876,0.0001922565,0.000059678296,0.0002785396],"category_scores_gemma":[0.0002107851,0.000111362584,0.000036152087,0.00191112,0.00014950857,0.000118045944,0.000065017055,0.00038358037,0.0000018301585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001086178,0.00039675686,0.980814,0.000067802706,0.0001172724,0.000012990633,0.016583895,0.0009812363,0.000012954182,0.0000024930262,0.0007247715,0.0001772521],"study_design_scores_gemma":[0.0031364448,0.00030487057,0.9663639,0.0000557482,0.000043762495,7.638794e-7,0.026769286,0.0004949756,0.000011134774,0.000007538351,0.0026943472,0.00011722429],"about_ca_topic_score_codex":0.09010345,"about_ca_topic_score_gemma":0.3514389,"teacher_disagreement_score":0.26133546,"about_ca_system_score_codex":0.00065952365,"about_ca_system_score_gemma":0.00039569277,"threshold_uncertainty_score":0.91595566},"labels":[],"label_agreement":null},{"id":"W4366316344","doi":"10.2196/45748","title":"Positive Design Framework for Carer eSupport: Qualitative Study to Support Informal Caregivers of Patients With Head and Neck Cancer in Sweden","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Vetenskapsrådet; Cancerfonden; European Commission","keywords":"Thematic analysis; Spouse; Focus group; Intervention (counseling); Nursing; Context (archaeology); Family caregivers; Qualitative research; Health care; Psychology; Medicine; Sociology","score_opus":0.03953203943528035,"score_gpt":0.3967474491561222,"score_spread":0.35721540972084187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366316344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99448127,0.00007494434,0.00021147305,0.00036314895,0.00024238181,0.0035768657,0.00087859307,0.00003276727,0.0001385713],"genre_scores_gemma":[0.99662936,0.00002276869,0.00020458574,0.00039178578,0.000073468575,0.0021304772,0.00007011146,0.000036029436,0.00044141148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985584,0.000056837463,0.00028645707,0.00033295923,0.00040098882,0.00036436203],"domain_scores_gemma":[0.9989626,0.00016819955,0.00011367123,0.00019239228,0.0003900308,0.00017310737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019943056,0.00020330668,0.00045254952,0.00022857421,0.000046993617,0.000012991559,0.000078583944,0.000080525424,0.0001384774],"category_scores_gemma":[0.000034906752,0.00016825853,0.000053537176,0.00067273533,0.000060978793,0.0001285011,0.00005278102,0.00016310214,0.0000031749923],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004599088,0.00015786153,0.49872515,0.00020092608,0.00017769494,0.000016668331,0.48738697,0.00012787423,0.0000072114613,0.00002968698,0.0016949258,0.006875942],"study_design_scores_gemma":[0.0043670037,0.004793643,0.8277343,0.0005221668,0.00011361227,3.7818498e-7,0.16102637,0.000011104107,0.00019358509,0.00003184947,0.00095033157,0.00025566304],"about_ca_topic_score_codex":0.007824283,"about_ca_topic_score_gemma":0.024491549,"teacher_disagreement_score":0.32900915,"about_ca_system_score_codex":0.00026382593,"about_ca_system_score_gemma":0.00047086456,"threshold_uncertainty_score":0.9987827},"labels":[],"label_agreement":null},{"id":"W4367312597","doi":"10.2196/37330","title":"Features of Cancer mHealth Apps and Evidence for Patient Preferences: Scoping Literature Review","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"mHealth; CINAHL; PsycINFO; MEDLINE; App store; Medicine; Citation; Cochrane Library; Alternative medicine; World Wide Web; Family medicine; Computer science; Psychological intervention; Nursing; Pathology","score_opus":0.1616144430880348,"score_gpt":0.55261251958178,"score_spread":0.39099807649374524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367312597","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021424172,0.938086,0.000035654924,0.017501513,0.0008910861,0.020902684,0.00054173206,0.00016957888,0.00044758111],"genre_scores_gemma":[0.023425464,0.8238657,0.000243433,0.010068797,0.00037996506,0.14110096,0.000053789714,0.000028113376,0.0008337742],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9977054,0.00020214055,0.0007758551,0.00043701532,0.00023696666,0.0006426488],"domain_scores_gemma":[0.9975321,0.0008149878,0.00056366244,0.00036002824,0.00041276778,0.00031642953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005249505,0.00017174745,0.00046583553,0.00011204671,0.00055248255,0.0000068095974,0.00015350872,0.00018196765,0.00015002306],"category_scores_gemma":[0.0002455823,0.00013534947,0.000057501788,0.00077343517,0.00005096339,0.00011537874,0.00007893218,0.00043016401,0.000013259318],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015786882,0.000027642967,0.010807636,0.2538069,0.0000177775,5.093747e-7,0.002677986,0.000004898845,0.00007408442,0.0014175184,0.255841,0.4751662],"study_design_scores_gemma":[0.00095507415,0.00023720566,0.10247597,0.50389236,0.00008173589,9.542041e-7,0.00041353746,0.00004806524,0.00004328624,0.00072437146,0.39083007,0.00029735803],"about_ca_topic_score_codex":0.0007855076,"about_ca_topic_score_gemma":0.0021974887,"teacher_disagreement_score":0.47486883,"about_ca_system_score_codex":0.00016378103,"about_ca_system_score_gemma":0.0018222556,"threshold_uncertainty_score":0.55193913},"labels":[],"label_agreement":null},{"id":"W4367348981","doi":"10.2196/38515","title":"Smartphone-Based Psychotherapeutic Interventions in Blended Care of Cancer Survivors: Nested Randomized Clinical Trial","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Randomized controlled trial; Psychological intervention; Medicine; Psychology; Nursing; Internal medicine","score_opus":0.1032546421843608,"score_gpt":0.4689373057317032,"score_spread":0.3656826635473424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367348981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98195976,0.0067180195,0.00006801164,0.002274648,0.0047453037,0.0032768014,0.00013710438,0.00016994774,0.0006504298],"genre_scores_gemma":[0.99113,0.0016690915,0.000017953083,0.000614362,0.0005919286,0.0043709204,0.00009978585,0.000058886264,0.0014470489],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9969459,0.00058964925,0.001219468,0.0004611818,0.00041431468,0.00036948104],"domain_scores_gemma":[0.9982556,0.0005429465,0.0003168567,0.00048258426,0.00025828413,0.00014373257],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010823453,0.00024182895,0.0012800794,0.0004057731,0.000036833375,0.00001551338,0.00016693214,0.00023246578,0.001276966],"category_scores_gemma":[0.0001056735,0.0002051901,0.0011230885,0.001295377,0.00021945903,0.00005196913,0.00002566062,0.00036796645,0.000022597122],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.79422534,0.00069137476,0.11366911,0.0018367314,0.0005613993,0.000026551632,0.0039702514,0.00014543186,0.00021999866,0.00006528928,0.0017637139,0.082824826],"study_design_scores_gemma":[0.91417,0.0005859966,0.06368811,0.0026549466,0.0005313291,7.532997e-7,0.0015538005,0.00060147047,0.00052027404,0.000083443134,0.015236596,0.0003732771],"about_ca_topic_score_codex":0.015383672,"about_ca_topic_score_gemma":0.18946457,"teacher_disagreement_score":0.17408091,"about_ca_system_score_codex":0.0002095654,"about_ca_system_score_gemma":0.0007949833,"threshold_uncertainty_score":0.999636},"labels":[],"label_agreement":null},{"id":"W4367601365","doi":"10.2196/39852","title":"The Patient Experience of Acute Lymphoblastic Leukemia and Its Treatment: Social Media Review","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Pfizer","keywords":"Social media; Medicine; Lymphoblastic Leukemia; Quality of life (healthcare); Disease; Family medicine; Leukemia; Internal medicine; Nursing","score_opus":0.03177946215157398,"score_gpt":0.3511276608605893,"score_spread":0.3193481987090153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367601365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758046,0.019286279,0.0000024706162,0.0025541922,0.00026134032,0.0011928346,0.000113242815,0.00008249355,0.0007025444],"genre_scores_gemma":[0.89577115,0.10067512,0.000008874211,0.00043239936,0.0002293145,0.0015008327,0.000021811089,0.00003369891,0.0013267957],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99848783,0.000046531295,0.0002996299,0.00026060463,0.0005266617,0.000378736],"domain_scores_gemma":[0.99899715,0.0003914403,0.00010901984,0.00021587747,0.0001447312,0.00014177946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009496684,0.00016347754,0.0003590793,0.000059335056,0.0001685078,0.0000117964355,0.0001202751,0.000070076385,0.00013534207],"category_scores_gemma":[0.0001526576,0.00009616288,0.00009000255,0.00053679815,0.00021211182,0.000052619227,0.00010594058,0.000081163606,0.00006131123],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024117713,0.00027493053,0.0028250944,0.004857482,0.0019605523,0.0008776264,0.055705227,0.000011710959,0.025479686,0.0010692748,0.23036179,0.67416483],"study_design_scores_gemma":[0.03689166,0.0047566155,0.14796633,0.01737647,0.003970537,0.00074670924,0.007441382,0.01635357,0.06658066,0.00041702163,0.6952423,0.0022567501],"about_ca_topic_score_codex":0.000056067638,"about_ca_topic_score_gemma":0.000022894183,"teacher_disagreement_score":0.6719081,"about_ca_system_score_codex":0.0013498468,"about_ca_system_score_gemma":0.0010475682,"threshold_uncertainty_score":0.39214084},"labels":[],"label_agreement":null},{"id":"W4376132888","doi":"10.2196/39105","title":"Impact of COVID-19 on Public Interest in Breast Cancer Screening and Related Symptoms: Google Trends Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Breast cancer; Medicine; Mammography; Public health; Breast cancer screening; Health care; Oncology; Family medicine; Cancer; Internal medicine; Pathology","score_opus":0.054547011204447965,"score_gpt":0.39710577822711707,"score_spread":0.3425587670226691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376132888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991221,0.00045425483,0.000004774024,0.004796962,0.000057995767,0.00019676094,0.0026614473,0.00014960021,0.0004571748],"genre_scores_gemma":[0.9978785,0.00031242473,0.000005746743,0.00025537095,0.000055444394,0.0001693675,0.00048707158,0.000030373796,0.00080571393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998516,0.00008568439,0.0003631091,0.00043808325,0.00023412809,0.00036295727],"domain_scores_gemma":[0.998805,0.00009032636,0.000175161,0.00043364274,0.000082186976,0.00041369602],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022450379,0.0001984064,0.0005632854,0.0013634515,0.000037307324,0.000023340031,0.00012841992,0.000095266805,0.0030653095],"category_scores_gemma":[0.000086552114,0.00016395558,0.00024195974,0.0043062493,0.00011973118,0.00013647285,0.00008746418,0.00020822608,0.000013781779],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050462637,0.000103640195,0.95393044,0.00008626286,0.0014515818,0.000072494644,0.0002867921,0.0009052696,0.00024666134,0.00002528582,0.009863221,0.032523714],"study_design_scores_gemma":[0.0020751925,0.00009766015,0.99150074,0.00017730585,0.00022643588,0.00000781445,0.000072075934,0.0038984495,0.0000055947353,0.000008157724,0.0017751958,0.00015537221],"about_ca_topic_score_codex":0.0043880856,"about_ca_topic_score_gemma":0.005006597,"teacher_disagreement_score":0.037570294,"about_ca_system_score_codex":0.0005791659,"about_ca_system_score_gemma":0.00038412143,"threshold_uncertainty_score":0.997846},"labels":[],"label_agreement":null},{"id":"W4377010427","doi":"10.2196/39072","title":"A Digital Solution for an Advanced Breast Tumor Board: Pilot Application Cocreation and Implementation Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audit; Medicine; Multidisciplinary approach; Breast cancer; Cancer","score_opus":0.06815504259979109,"score_gpt":0.4361602708579655,"score_spread":0.3680052282581744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377010427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994263,0.00006154057,0.0019253568,0.0004907993,0.00005778348,0.0027489164,0.00013754796,0.00014079925,0.00017426969],"genre_scores_gemma":[0.9958509,0.0000152488,0.00014720204,0.00017530765,0.00020390646,0.003105949,0.00032333902,0.00001668693,0.00016146344],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991491,0.000009974826,0.0001730248,0.0002753219,0.0002057974,0.00018678418],"domain_scores_gemma":[0.9995536,0.000015686552,0.00008285567,0.00013177085,0.00013184978,0.00008421398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011525157,0.00009614046,0.0001354056,0.00007289754,0.00011511863,0.000045973047,0.000035873058,0.000017897164,0.000016115973],"category_scores_gemma":[0.000008098758,0.00009200301,0.000023782446,0.00023694422,0.000019750265,0.00043821978,0.000018886694,0.000042686377,0.000008154328],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017943692,0.0001829105,0.27680352,0.00008914452,0.000044900826,0.0000029133078,0.0009509415,0.000050915332,0.015859714,0.00008477162,0.0028377217,0.7012982],"study_design_scores_gemma":[0.004275882,0.002651588,0.97836846,0.00005748221,0.00008355451,0.000019656067,0.0046815304,0.005268164,0.00029923778,0.0001322042,0.0039946064,0.00016761273],"about_ca_topic_score_codex":0.0004731333,"about_ca_topic_score_gemma":0.0009413155,"teacher_disagreement_score":0.70156497,"about_ca_system_score_codex":0.00016084299,"about_ca_system_score_gemma":0.00006875427,"threshold_uncertainty_score":0.37517735},"labels":[],"label_agreement":null},{"id":"W4378083828","doi":"10.2196/44914","title":"A Web-Based Cancer Self-Management Program (I-Can Manage) Targeting Treatment Toxicities and Health Behaviors: Human-Centered Co-design Approach and Cognitive Think-Aloud Usability Testing","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"York University; Ontario College of Art and Design; University of British Columbia; University of Toronto; McMaster University; Juravinski Cancer Centre; Princess Margaret Cancer Centre","funders":"","keywords":"Usability; Pluralistic walkthrough; User-centered design; Focus group; Knowledge management; Computer science; Psychology; Human–computer interaction","score_opus":0.15253506182930407,"score_gpt":0.46186686521443887,"score_spread":0.3093318033851348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378083828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98385173,0.0013024975,0.0000770679,0.00110131,0.00036688126,0.007815018,0.0006997575,0.0010865257,0.0036992235],"genre_scores_gemma":[0.9862505,0.00005330216,0.0018500517,0.00043443413,0.000097824355,0.009634237,0.00016623309,0.00006803276,0.0014453698],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9972288,0.000275821,0.0006005004,0.00084677374,0.0002560487,0.00079207146],"domain_scores_gemma":[0.9989916,0.00013955991,0.00028988102,0.0002477107,0.000067634646,0.00026361455],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005216977,0.00036598224,0.00042567076,0.00021220617,0.00047338617,0.00014721503,0.00012591806,0.000090710564,0.00010723239],"category_scores_gemma":[0.000007484252,0.00034728172,0.000089417306,0.00045421836,0.00021906322,0.00012544468,0.000091768416,0.00017982523,0.000014447929],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041312067,0.008347211,0.12747924,0.0043720626,0.0009889398,0.00010418916,0.030847536,0.000057296857,0.000035882902,0.00075892126,0.008490637,0.818105],"study_design_scores_gemma":[0.023443209,0.012619567,0.8863159,0.0049271365,0.00081059715,0.000024958697,0.05703825,0.006008864,0.000395975,0.0009981049,0.0051875575,0.0022298982],"about_ca_topic_score_codex":0.002642836,"about_ca_topic_score_gemma":0.00053678633,"teacher_disagreement_score":0.81587505,"about_ca_system_score_codex":0.000863723,"about_ca_system_score_gemma":0.000110480505,"threshold_uncertainty_score":0.9998979},"labels":[],"label_agreement":null},{"id":"W4378220316","doi":"10.2196/40891","title":"Identification of the Needs and Preferences of Patients With Cancer for the Development of a Clinic App: Qualitative Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Usability; Nonprobability sampling; Qualitative research; mHealth; Medicine; Medical diagnosis; Outpatient clinic; Health care; Nursing; Medical education; Family medicine; Psychology; Computer science; Pathology; Psychological intervention","score_opus":0.14331638100944,"score_gpt":0.5439808821039476,"score_spread":0.4006645010945076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378220316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98899555,0.00020748164,0.00008797967,0.0006297402,0.00019822989,0.009557989,0.00027085797,0.000011950388,0.000040226616],"genre_scores_gemma":[0.94498473,0.00016590388,0.00004285698,0.000071554234,0.000025253783,0.054061424,0.000009232162,0.000009138927,0.0006299298],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983952,0.00022354805,0.00082628545,0.00013843302,0.00023322977,0.00018330867],"domain_scores_gemma":[0.9973967,0.0009339002,0.0009242935,0.00024388458,0.00045702723,0.000044158765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010252818,0.00007235908,0.00020372211,0.000062230174,0.00038538472,0.0000012337204,0.00015772566,0.000047698817,0.00005200033],"category_scores_gemma":[0.00006312533,0.00003712996,0.000021052274,0.000545319,0.00009771746,0.000029262515,0.000052105035,0.00011989574,0.000002088204],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046390545,0.00029135033,0.5737215,0.002548859,0.00010951386,2.4745554e-9,0.38007143,0.000013412668,0.00007221176,0.00038657876,0.0038755839,0.03844561],"study_design_scores_gemma":[0.0009978907,0.000093221475,0.89959747,0.00017872773,0.000037598842,1.695836e-9,0.092583306,0.000023558254,0.00007059313,0.00013443013,0.006242538,0.000040669256],"about_ca_topic_score_codex":0.00050500355,"about_ca_topic_score_gemma":0.004199546,"teacher_disagreement_score":0.3258759,"about_ca_system_score_codex":0.000053490265,"about_ca_system_score_gemma":0.0011359776,"threshold_uncertainty_score":0.29641065},"labels":[],"label_agreement":null},{"id":"W4378347341","doi":"10.2196/45037","title":"Effects of Active Video Games in Patients With Cancer: Systematic Review","year":2023,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Psychological intervention; Physical therapy; Anxiety; Breast cancer; Cancer; Quality of life (healthcare); Cancer-related fatigue; Prostate cancer; Depression (economics); Internal medicine; Psychiatry","score_opus":0.02005601848489854,"score_gpt":0.3536149411408033,"score_spread":0.33355892265590475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378347341","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000066650624,0.98694557,3.167147e-7,0.00003197459,0.00047514267,0.012091363,0.00022207967,0.000050028477,0.0001168959],"genre_scores_gemma":[0.00003945335,0.97697926,0.0000013069246,0.00023439722,0.00012244195,0.021398615,0.00008645664,0.00012448,0.0010136219],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9974321,0.00022770737,0.0008857901,0.00049624045,0.00062878977,0.00032937937],"domain_scores_gemma":[0.9979266,0.00030096702,0.0008748307,0.0005494519,0.00022828915,0.00011987641],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015157764,0.0005049897,0.0053318236,0.0002659039,0.000016780547,0.0000075569974,0.00020680852,0.00021841974,0.00010435526],"category_scores_gemma":[0.000104355386,0.00031849532,0.00048115142,0.001240545,0.000053531847,0.00005641804,0.00005824998,0.00044577243,0.00002689902],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047303158,0.00006204736,0.00015159059,0.8544879,0.0005695167,0.00001768483,0.0001683896,7.485088e-8,1.9860359e-8,0.000002044642,0.000911913,0.1435815],"study_design_scores_gemma":[0.000719286,0.0001473232,0.0006022636,0.88124585,0.0061713983,0.0000013729674,0.00001617102,1.0695471e-7,0.0000015496396,7.893039e-7,0.11081674,0.00027715295],"about_ca_topic_score_codex":0.0017940918,"about_ca_topic_score_gemma":0.0029034112,"teacher_disagreement_score":0.14330435,"about_ca_system_score_codex":0.00096338295,"about_ca_system_score_gemma":0.00092847866,"threshold_uncertainty_score":0.9999267},"labels":[],"label_agreement":null},{"id":"W4379471523","doi":"10.2196/41594","title":"Cancer Pain Experience Through the Lens of Patients and Caregivers: Mixed Methods Social Media Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Pain Management and Opioid Use","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministero della Salute; Università degli Studi di Milano","keywords":"Psychosocial; Spouse; Cancer pain; Social media; Descriptive statistics; Grief; Regret; Clinical psychology; Cancer; Social support; Medicine; Psychology; Family caregivers; Psychiatry; Gerontology; Psychotherapist; Internal medicine","score_opus":0.06187366460063976,"score_gpt":0.4116427646846557,"score_spread":0.34976910008401596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379471523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967752,0.0003634519,0.00004751853,0.0011919371,0.000440605,0.00080105,0.000020854886,0.000048711063,0.00031064145],"genre_scores_gemma":[0.99757534,0.00040653773,0.00012541715,0.00048429435,0.0002322725,0.00069880043,0.0000087087665,0.000016017722,0.0004526221],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988956,0.00023385164,0.00016186171,0.00021370522,0.0002952978,0.00019967656],"domain_scores_gemma":[0.9993755,0.0002662641,0.000085888256,0.00016090226,0.00008177885,0.000029640863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040079816,0.000112085756,0.00022871309,0.00004734991,0.000112814836,0.0000099264935,0.00010975109,0.000040681418,0.00014157029],"category_scores_gemma":[0.00013856133,0.00007541609,0.000049402275,0.00038907566,0.00013897357,0.00007636755,0.00010341183,0.00009517599,0.000002335186],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000171253,0.00017583581,0.54662734,0.00014775075,0.0002112099,0.000007233569,0.31017584,0.0000047674416,0.0002459891,0.00008043364,0.059012294,0.08314004],"study_design_scores_gemma":[0.0013097833,0.0000847305,0.9097397,0.000037855665,0.000089310015,1.0136958e-8,0.054948322,0.00008035342,0.0001241322,0.000050098683,0.03344153,0.00009418364],"about_ca_topic_score_codex":0.00054568046,"about_ca_topic_score_gemma":0.0004929795,"teacher_disagreement_score":0.36311233,"about_ca_system_score_codex":0.00006355881,"about_ca_system_score_gemma":0.00004284398,"threshold_uncertainty_score":0.30753788},"labels":[],"label_agreement":null},{"id":"W4382344020","doi":"10.2196/40875","title":"Perceived Barriers and Facilitators in Using Patient-Reported Outcome Systems for Cancer Care: Systematic Mapping Study","year":2023,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Workflow; Usability; Interoperability; Scopus; Thematic analysis; Health care; MEDLINE; Medicine; Medical education; Health informatics; Qualitative research; Psychology; Nursing; Knowledge management; Computer science; World Wide Web; Public health; Database","score_opus":0.14420056694269073,"score_gpt":0.42090522025703975,"score_spread":0.276704653314349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382344020","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038344473,0.938425,0.000004422598,0.000008733887,0.0027760444,0.019734334,0.0005739557,0.000116611445,0.000016420328],"genre_scores_gemma":[0.020406239,0.94201463,0.0000044219364,0.000043517488,0.00032238459,0.036340836,0.000070467155,0.00022556027,0.00057195],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.995651,0.00030555623,0.0019579465,0.0009285456,0.0005789902,0.00057797926],"domain_scores_gemma":[0.9977591,0.000217266,0.0008035337,0.0006194408,0.00028443584,0.00031624906],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042157067,0.0007007958,0.0043464266,0.0006331986,0.00013447813,0.000079891695,0.00015371987,0.00036737105,0.000027037073],"category_scores_gemma":[0.00017951432,0.00055414456,0.00051565375,0.0008863999,0.00005650214,0.00007669496,0.000088675806,0.00044481424,0.0000033321091],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034222347,0.000032321987,0.018862853,0.9391362,0.0012796106,0.00012695516,0.021322878,0.000024242849,6.941693e-7,0.0000012730109,0.00007937748,0.019099358],"study_design_scores_gemma":[0.0025218655,0.00032658703,0.0012896297,0.5771728,0.0076125404,0.00006269949,0.14605322,0.00021434491,8.580745e-8,8.811045e-7,0.2633558,0.0013895584],"about_ca_topic_score_codex":0.018448541,"about_ca_topic_score_gemma":0.008124827,"teacher_disagreement_score":0.36196342,"about_ca_system_score_codex":0.002824906,"about_ca_system_score_gemma":0.0012444857,"threshold_uncertainty_score":0.999691},"labels":[],"label_agreement":null},{"id":"W4383302199","doi":"10.2196/44533","title":"A Mobile App to Support Self-Management in Patients with Multiple Myeloma or Chronic Lymphocytic Leukemia: Pilot Randomized Controlled Trial","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Medicine; Randomized controlled trial; Chronic lymphocytic leukemia; Physical therapy; Cancer; Checklist; Anxiety; Distress; Internal medicine; Leukemia; Psychiatry; Clinical psychology; Psychology","score_opus":0.010829071624318065,"score_gpt":0.2851781314314094,"score_spread":0.27434905980709134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383302199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9718703,0.0001519458,0.00001859336,0.00006304754,0.0010037605,0.024856204,0.000030062114,0.00034008673,0.0016659934],"genre_scores_gemma":[0.93608147,0.0001990392,0.000038145758,0.000573328,0.0003757987,0.05315422,0.00006463514,0.00006217359,0.009451167],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9976488,0.00011264752,0.0005788873,0.0004946391,0.0006282197,0.00053681066],"domain_scores_gemma":[0.99893504,0.00019917235,0.00014335835,0.0004012064,0.00011434853,0.0002068492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043490235,0.00030075942,0.001471231,0.00034157955,0.000053572487,0.00002799391,0.00013862803,0.00008343005,0.00063356315],"category_scores_gemma":[0.000049450082,0.00019297977,0.0002222691,0.00090942305,0.000045843804,0.000064913926,0.00007992882,0.00015025429,0.0001503283],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.986214,0.00016534686,0.0014530108,0.00026704193,0.0005447273,0.00009377258,0.0014158513,0.0005705625,0.0000070805795,0.0000068082577,0.003908217,0.0053536086],"study_design_scores_gemma":[0.9750067,0.004599444,0.0027071114,0.00023406361,0.00035217096,9.773438e-7,0.00021154733,0.00094214926,0.000023757138,0.0000031280758,0.015655756,0.00026322223],"about_ca_topic_score_codex":0.0010267564,"about_ca_topic_score_gemma":0.0057291253,"teacher_disagreement_score":0.03578881,"about_ca_system_score_codex":0.006814789,"about_ca_system_score_gemma":0.0022277182,"threshold_uncertainty_score":0.9969979},"labels":[],"label_agreement":null},{"id":"W4385059574","doi":"10.2196/45547","title":"Data-Efficient Computational Pathology Platform for Faster and Cheaper Breast Cancer Subtype Identifications: Development of a Deep Learning Model","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"AI in cancer detection","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Medical Research Council; Medical Research Council; Korea Health Industry Development Institute; National Research Foundation Singapore; National Research Foundation","keywords":"Breast cancer; Computer science; Deep learning; Artificial intelligence; Pathology; Medicine; Computational biology; Cancer; Internal medicine; Biology","score_opus":0.06940561362447524,"score_gpt":0.34248875872351375,"score_spread":0.2730831450990385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385059574","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15421756,0.00029177434,0.8438057,0.0005724418,0.00036117889,0.00045334428,0.00014493753,0.00012585949,0.000027248268],"genre_scores_gemma":[0.9529306,0.00006947036,0.045065414,0.00013904173,0.00008970265,0.0013078322,0.000093057424,0.000023513123,0.00028131198],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987003,0.000015443638,0.00030309212,0.0004932928,0.00025062505,0.00023722349],"domain_scores_gemma":[0.99918437,0.0000638709,0.00017536781,0.00031345183,0.00021181806,0.00005109651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030299943,0.0001181893,0.00015318542,0.00015274403,0.00020643411,0.000052398256,0.00041945637,0.00006397803,0.000020992422],"category_scores_gemma":[0.000010911503,0.00011601793,0.000024576793,0.00040028407,0.000060665217,0.00030138635,0.00033540398,0.00010401238,0.000010081199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004340213,0.000041021187,0.0011956824,0.00013343013,0.00004089265,9.439762e-7,0.0049702493,0.61299545,0.0015613221,0.0009866572,0.00074430776,0.37728664],"study_design_scores_gemma":[0.00033277457,0.000011887285,0.02817051,0.00003272551,0.000008327101,0.00000806008,0.000085670064,0.9683955,0.00019593752,0.0005101832,0.0021128342,0.00013563696],"about_ca_topic_score_codex":0.000018947303,"about_ca_topic_score_gemma":0.00017785282,"teacher_disagreement_score":0.79874027,"about_ca_system_score_codex":0.00017117006,"about_ca_system_score_gemma":0.00030648365,"threshold_uncertainty_score":0.47310737},"labels":[],"label_agreement":null},{"id":"W4385262393","doi":"10.2196/47187","title":"Effectiveness of a Self-Monitoring App in Supporting Physical Activity Maintenance Among Rural Canadians With Cancer After an Exercise Oncology Program: Cluster Randomized Controlled Trial","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Alberta Health Services; University of Alberta; University of Calgary","funders":"","keywords":"eHealth; Medicine; Psychological intervention; Randomized controlled trial; Physical therapy; Intervention (counseling); Gerontology; Internal medicine; Nursing; Health care","score_opus":0.009165040639573296,"score_gpt":0.34464642434707876,"score_spread":0.33548138370750546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385262393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854061,0.00013504244,0.000006845064,0.00022924446,0.0009009773,0.012928309,0.000028041737,0.00017514589,0.00019031536],"genre_scores_gemma":[0.9360011,0.00009354602,0.000018288541,0.000027627117,0.0005103777,0.06302073,0.000009340683,0.000057147216,0.00026182272],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99744886,0.00059738266,0.00041777416,0.00044598442,0.00040351498,0.000686469],"domain_scores_gemma":[0.9983903,0.0005291709,0.00032692734,0.00028933663,0.0002160906,0.00024813355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011625837,0.0003195181,0.0023485534,0.00022633196,0.000046923848,0.000023412471,0.000111257345,0.00017328525,0.0000413774],"category_scores_gemma":[0.00006166265,0.0002242645,0.00035954706,0.0006600111,0.00021332732,0.00019030194,0.000038765986,0.0004045923,0.0000016100162],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9218412,0.0005711754,0.051655583,0.0006564717,0.0003011704,0.00016293039,0.0053482275,0.00009870381,0.00036433336,0.000003035255,0.000022122036,0.018975014],"study_design_scores_gemma":[0.881937,0.00089029456,0.10961442,0.0022215715,0.0005344473,0.0000033580318,0.0012084142,0.002147731,0.0010142677,0.000010546946,0.00010625468,0.0003116479],"about_ca_topic_score_codex":0.07344548,"about_ca_topic_score_gemma":0.09438175,"teacher_disagreement_score":0.057958834,"about_ca_system_score_codex":0.00097257324,"about_ca_system_score_gemma":0.0011235136,"threshold_uncertainty_score":0.93272454},"labels":[],"label_agreement":null},{"id":"W4385330153","doi":"10.2196/43749","title":"Exposure and Reactions to Cancer Treatment Misinformation and Advice: Survey Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Misinformation; Psychosocial; Social media; Distress; Harm; Cancer; Curiosity; Psychology; Health communication; Medicine; Medical advice; Family medicine; Social psychology; Psychiatry; Clinical psychology; Communication; Internal medicine","score_opus":0.07318898634743229,"score_gpt":0.4274075829255681,"score_spread":0.3542185965781358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385330153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921689,0.00008544155,0.000002345196,0.0017691895,0.00021193278,0.0007280562,0.00006430678,0.00011737486,0.0048524756],"genre_scores_gemma":[0.98883736,0.0012071348,0.0000076048946,0.00027911316,0.00009653684,0.00014041639,0.0000106068655,0.0000052403307,0.009415972],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99928194,0.00006991756,0.00015197239,0.00009901401,0.00021371477,0.00018345745],"domain_scores_gemma":[0.99954647,0.000057305067,0.000056465047,0.00008417269,0.000079901794,0.00017570044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038835188,0.00007641056,0.000095887655,0.00010901078,0.00038540445,0.00012322312,0.00004149076,0.000040825886,0.0002590765],"category_scores_gemma":[0.00006313875,0.0000643011,0.000011695858,0.0004840701,0.000030781852,0.0004466527,0.000017458704,0.000035924553,0.0000490905],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006217572,0.00007415917,0.13925548,0.000023282031,0.00005350682,9.3776686e-7,0.6224324,0.00014447283,0.000036709134,0.00015626359,0.042317692,0.19544291],"study_design_scores_gemma":[0.00039553875,0.00009815918,0.79910886,0.000014107871,0.0000072362527,1.70399e-7,0.028811451,0.000073548275,0.000009515522,0.00000660113,0.17139025,0.00008454146],"about_ca_topic_score_codex":0.033631895,"about_ca_topic_score_gemma":0.07090412,"teacher_disagreement_score":0.6598534,"about_ca_system_score_codex":0.00018150643,"about_ca_system_score_gemma":0.00015528552,"threshold_uncertainty_score":0.97280324},"labels":[],"label_agreement":null},{"id":"W4385476135","doi":"10.2196/48786","title":"Perspectives and Experiences of Patients With Thyroid Cancer at a Global Level: Retrospective Descriptive Study of Twitter Data","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Thyroid cancer; Retrospective cohort study; Cancer; Descriptive research; Thyroid; Medicine; Internal medicine; Sociology; Social science","score_opus":0.19360039060228493,"score_gpt":0.4553839976326169,"score_spread":0.261783607030332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385476135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958946,0.00046602177,7.45587e-7,0.00035352237,0.0009767537,0.0018665468,0.00019716736,0.000030618416,0.0002139837],"genre_scores_gemma":[0.9972631,0.00018712155,0.000030058049,0.000019848389,0.0002439086,0.0021776601,0.000006737556,0.000009451404,0.00006211822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835896,0.00014836728,0.00019339235,0.00039429317,0.0006480726,0.00025689712],"domain_scores_gemma":[0.9988495,0.00015153558,0.00024572547,0.00023994569,0.000424182,0.00008908206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023330173,0.00010409032,0.00023522587,0.000056232962,0.00025229377,0.000014762731,0.00027908027,0.000056775476,0.00015417913],"category_scores_gemma":[0.00031525962,0.00008794632,0.000014145605,0.00095279433,0.0005802921,0.00026942344,0.00014405348,0.00007031068,0.0000014839459],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068925234,0.00010189339,0.50915617,0.00000946582,0.000023369956,1.6917927e-7,0.48932144,4.3816365e-7,0.000002113501,0.000030050152,0.0007090659,0.0005768974],"study_design_scores_gemma":[0.00031060592,0.00014942866,0.5423095,0.000023667793,0.000012688767,9.878219e-9,0.45692658,0.0000017177624,0.000006191284,0.00002380983,0.00018092172,0.00005486174],"about_ca_topic_score_codex":0.050565735,"about_ca_topic_score_gemma":0.05218499,"teacher_disagreement_score":0.03315333,"about_ca_system_score_codex":0.0010259831,"about_ca_system_score_gemma":0.00055368297,"threshold_uncertainty_score":0.9651102},"labels":[],"label_agreement":null},{"id":"W4385820722","doi":"10.2196/44332","title":"An Actionable Expert-System Algorithm to Support Nurse-Led Cancer Survivorship Care: Algorithm Development Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Ottawa; University of Calgary; Princess Margaret Cancer Centre; Trillium Health Centre; Niagara Health System; Queen Elizabeth II Health Sciences Centre; McMaster University; University of Waterloo; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Algorithm; Survivorship curve; Psychosocial; Autonomy; Nursing; Reimbursement; Health care; Medicine; MEDLINE; Family medicine; Cancer; Computer science","score_opus":0.02941776560691015,"score_gpt":0.3641041368389872,"score_spread":0.334686371232077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385820722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97131425,0.0015494038,0.0012799446,0.0015285454,0.0120417625,0.0062825126,0.0005070659,0.0021695632,0.0033269434],"genre_scores_gemma":[0.96322215,0.00010446751,0.0013815885,0.0013420982,0.002490905,0.01680994,0.00035198277,0.00023168922,0.014065186],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961558,0.00013172942,0.00057006755,0.0010308807,0.001180816,0.0009307099],"domain_scores_gemma":[0.9977569,0.000040244373,0.00012586707,0.0007893436,0.0005594873,0.00072816364],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039644475,0.000494344,0.00072242226,0.00041539033,0.00032763107,0.000096647964,0.00033123154,0.00020223779,0.0013235942],"category_scores_gemma":[0.0000069559383,0.00046211027,0.00015279707,0.0015157594,0.000039787254,0.0002233824,0.000081322665,0.00032535882,0.00039631463],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026791706,0.00044015283,0.04377449,0.0003068826,0.00036941672,0.00032770348,0.07291324,0.00007042766,0.0004911411,0.0000072254998,0.020571811,0.8604596],"study_design_scores_gemma":[0.004708737,0.0016287842,0.16039678,0.0005957953,0.00021410923,0.000029430657,0.20540388,0.0012144287,0.006132814,0.0000025522797,0.6182079,0.0014648292],"about_ca_topic_score_codex":0.026202884,"about_ca_topic_score_gemma":0.050717995,"teacher_disagreement_score":0.8589948,"about_ca_system_score_codex":0.0023969025,"about_ca_system_score_gemma":0.0014505769,"threshold_uncertainty_score":0.99978304},"labels":[],"label_agreement":null},{"id":"W4386026291","doi":"10.2196/49775","title":"Predictors of the Use of a Mental Health–Focused eHealth System in Patients With Breast and Prostate Cancer: Bayesian Structural Equation Modeling Analysis of a Prospective Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Prostate cancer; Breast cancer; Anxiety; Structural equation modeling; Mental health; Depression (economics); Perceived Stress Scale; eHealth; Clinical psychology; Internal medicine; Cancer; Oncology; Psychiatry; Health care; Stress (linguistics)","score_opus":0.019974400016849584,"score_gpt":0.29394557179194,"score_spread":0.2739711717750904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386026291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99590904,0.00012741843,0.00001099461,0.0001419092,0.00010534784,0.002781246,0.0009055628,0.000016515303,0.000001946769],"genre_scores_gemma":[0.99955297,0.000027063388,0.0000069886396,0.00001562132,0.000015008919,0.00031864835,0.00003631173,0.000015092443,0.000012275877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998594,0.000091732596,0.00042826124,0.00023122621,0.00048560274,0.00016917971],"domain_scores_gemma":[0.9991326,0.000016291287,0.00035387668,0.00020433003,0.00023206066,0.00006086483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013706993,0.0001176096,0.00051412825,0.00027580687,0.00004374196,0.0000049577447,0.00004785006,0.000030166326,0.0000051879274],"category_scores_gemma":[0.0000048259208,0.00007544515,0.00005714534,0.0016702962,0.000049323753,0.00008570898,0.000033107593,0.00009358656,1.7149373e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014783536,0.00007742128,0.95332646,0.0005630648,0.0005311937,2.5965952e-7,0.033627603,0.008636725,0.000008769075,0.000004188173,0.000006169659,0.0017398015],"study_design_scores_gemma":[0.0025441349,0.00044426566,0.9212491,0.00067542476,0.00028158407,1.9441747e-7,0.004858499,0.06987479,0.000013882641,7.971567e-7,9.602924e-7,0.000056351633],"about_ca_topic_score_codex":0.050595094,"about_ca_topic_score_gemma":0.07756934,"teacher_disagreement_score":0.061238065,"about_ca_system_score_codex":0.0005347082,"about_ca_system_score_gemma":0.0003594766,"threshold_uncertainty_score":0.9557271},"labels":[],"label_agreement":null},{"id":"W4386147932","doi":"10.2196/44985","title":"User-Centered Development of a Mobile App to Assess the Quality of Life of Patients With Cancer: Iterative Investigation and Usability Testing","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Land, Infrastructure and Transport","keywords":"Usability; Conceptualization; Quality of life (healthcare); Focus group; Test (biology); Modular design; User experience design; Quality (philosophy); Psychology; Computer science; Iterative and incremental development; Mobile apps; Applied psychology; User interface; Cancer; Iterative design; Medicine; Process management; Human–computer interaction; World Wide Web; Nursing; Engineering; Artificial intelligence; Operations management; Software engineering","score_opus":0.09136993999847355,"score_gpt":0.36811575892052767,"score_spread":0.27674581892205413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386147932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984732,0.00009951436,0.000030169933,0.00014344185,0.00007904467,0.0009614268,0.00015288022,0.000017066677,0.00004323756],"genre_scores_gemma":[0.9987629,0.000008528281,0.00025412394,0.00012992708,0.00002499553,0.0007456827,0.000021619187,0.000010023457,0.000042203163],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885046,0.00007303317,0.0004170506,0.00018997432,0.00035177375,0.000117717624],"domain_scores_gemma":[0.99876714,0.00015875492,0.00026615118,0.00018737094,0.00053415593,0.00008641045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030405473,0.000098434604,0.00031977717,0.000050652856,0.000038308724,0.0000049233226,0.00006183339,0.000033066215,0.000029228788],"category_scores_gemma":[0.00013056451,0.000064833555,0.000025270285,0.0005695374,0.00011839892,0.000051018425,0.000055981185,0.00006924769,2.7848324e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003534416,0.000057674766,0.97098184,0.0007839935,0.000058055735,7.402706e-8,0.015336078,0.00005726537,0.002665767,0.0000065665567,0.000098878394,0.009600368],"study_design_scores_gemma":[0.0008132108,0.00016466551,0.9864806,0.0004605729,0.00002071958,3.4962962e-8,0.0016118927,0.00003306678,0.009834341,0.0000053855033,0.00050443487,0.00007105357],"about_ca_topic_score_codex":0.002940029,"about_ca_topic_score_gemma":0.0076292637,"teacher_disagreement_score":0.015498784,"about_ca_system_score_codex":0.0001116372,"about_ca_system_score_gemma":0.00054718315,"threshold_uncertainty_score":0.44444638},"labels":[],"label_agreement":null},{"id":"W4386268336","doi":"10.2196/42123","title":"Recruitment of Patients With Cancer for a Clinical Trial Evaluating a Web-Based Psycho-Oncological Intervention: Secondary Analysis of a Diversified Recruitment Strategy in a Randomized Controlled Trial","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitätsmedizin der Johannes Gutenberg-Universität Mainz; Gemeinsame Bundesausschuss","keywords":"Psychological intervention; Medicine; Randomized controlled trial; Intervention (counseling); Clinical trial; Patient recruitment; Family medicine; Nursing; Surgery; Pathology","score_opus":0.5319720998845798,"score_gpt":0.6007135141174943,"score_spread":0.06874141423291447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386268336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9285177,0.00019839234,0.000015588741,0.0008625862,0.0041260114,0.06599064,0.00012674813,0.000030609808,0.0001317516],"genre_scores_gemma":[0.7763169,0.00027578927,0.00012091678,0.000069172034,0.0005564388,0.22252259,0.00007148794,0.000010619934,0.000056096003],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99299324,0.0034673982,0.0019499812,0.00041230547,0.0008208561,0.00035621342],"domain_scores_gemma":[0.98677015,0.010632208,0.0017399817,0.00016981394,0.0005601662,0.00012766237],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010413409,0.00016162117,0.0021984288,0.00045858894,0.0001355785,0.000019241554,0.00020416453,0.00023786706,0.00093747943],"category_scores_gemma":[0.00498054,0.00012243252,0.0010118984,0.0018367986,0.00034551494,0.000077882796,0.000020843074,0.00019114879,8.381388e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9394305,0.0012730438,0.01394458,0.00006266181,0.0010389439,2.5219273e-7,0.0047405697,0.00016874852,9.907318e-7,0.000071945906,0.0002476521,0.039020117],"study_design_scores_gemma":[0.9673613,0.00317508,0.023250269,0.00016289148,0.0014341949,1.1490502e-9,0.0018909778,0.001857927,0.0000014263627,0.00008561299,0.00065827573,0.00012209774],"about_ca_topic_score_codex":0.0036351494,"about_ca_topic_score_gemma":0.012698063,"teacher_disagreement_score":0.15653194,"about_ca_system_score_codex":0.0007654357,"about_ca_system_score_gemma":0.0033790332,"threshold_uncertainty_score":0.9999758},"labels":[],"label_agreement":null},{"id":"W4386306305","doi":"10.2196/44612","title":"Advanced Messaging Intervention for Medication Adherence and Clinical Outcomes Among Patients With Cancer: Randomized Controlled Trial","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Randomized controlled trial; Odds ratio; Internal medicine; Clinical trial; Population; Cancer; Pemetrexed; Adverse effect; Quality of life (healthcare); Lung cancer; Physical therapy; Chemotherapy","score_opus":0.03804269939470506,"score_gpt":0.4212846500672523,"score_spread":0.38324195067254724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386306305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845817,0.00030971933,0.0008308728,0.002000846,0.000949888,0.01086037,0.000015436093,0.00012475753,0.0003264057],"genre_scores_gemma":[0.9651513,0.0009511213,0.00017681583,0.00049003994,0.00018218231,0.025877666,0.00008526217,0.00002252795,0.0070630955],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9981317,0.00013222989,0.0007699832,0.00036412643,0.00038524147,0.0002167123],"domain_scores_gemma":[0.9981862,0.0006677834,0.0005602112,0.00021285395,0.00021685117,0.00015610074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090308796,0.00016442781,0.0011326794,0.00009229692,0.000078256155,0.000018423862,0.00008933408,0.00008837967,0.0004674077],"category_scores_gemma":[0.00062245235,0.000103589555,0.000275472,0.000191794,0.00021211927,0.00012760494,0.000022925553,0.00015390429,0.00001937388],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.63190514,0.00017452461,0.32819965,0.000114083225,0.00041546146,6.9515147e-7,0.0000849428,0.0000027888536,0.0000026121509,0.000072879855,0.0026211499,0.036406048],"study_design_scores_gemma":[0.72492546,0.00033819498,0.2717405,0.0005294359,0.0002979181,1.0352995e-7,0.000055293593,0.0011422504,0.0000045505512,0.00008496695,0.00078333815,0.00009799498],"about_ca_topic_score_codex":0.00010824382,"about_ca_topic_score_gemma":0.00007858419,"teacher_disagreement_score":0.09302029,"about_ca_system_score_codex":0.000056473684,"about_ca_system_score_gemma":0.00016508394,"threshold_uncertainty_score":0.51177865},"labels":[],"label_agreement":null},{"id":"W4386466926","doi":"10.2196/44320","title":"Effects of Web-Based and Mobile Self-Care Support in Addition to Standard Care in Patients After Radical Prostatectomy: Randomized Controlled Trial","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Familjen Kamprads Stiftelse; Cancerfonden; Forskningsrådet i Sydöstra Sverige","keywords":"Prostatectomy; Randomized controlled trial; Standard of care; Web application; Medicine; Urology; Internal medicine; World Wide Web; Computer science; Prostate cancer","score_opus":0.0028861129726816524,"score_gpt":0.27269461677815404,"score_spread":0.2698085038054724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386466926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9737302,0.0012719259,4.6656993e-7,0.00013047887,0.00021861058,0.024179704,0.00038589025,0.000049225535,0.000033521053],"genre_scores_gemma":[0.917348,0.00040453303,0.000028779956,0.00018496982,0.000049610262,0.08174345,0.00020465648,0.000023682835,0.00001226865],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99847853,0.00015270004,0.0004617512,0.0003113431,0.00033580203,0.00025985445],"domain_scores_gemma":[0.99921936,0.0002779253,0.000102758706,0.0001267992,0.00014678194,0.00012638234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018235118,0.00018787304,0.0012495292,0.0002923734,0.000015938245,0.000010339111,0.000029397474,0.000088980094,0.00013249482],"category_scores_gemma":[0.000080948616,0.00013566343,0.00015845757,0.00032699996,0.00005237069,0.000041343723,0.000022006852,0.00010507719,0.0000044778203],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9158588,0.00034263614,0.07388449,0.00094225275,0.000095879615,0.00011117171,0.0033183184,0.00002284409,0.000015904447,8.3645637e-7,0.0004893701,0.004917517],"study_design_scores_gemma":[0.9260049,0.00352078,0.06573539,0.0008283619,0.00017372161,8.923131e-8,0.000109739376,0.0000267059,0.0016460267,0.0000037084426,0.001829907,0.00012066516],"about_ca_topic_score_codex":0.000045823293,"about_ca_topic_score_gemma":0.000116200164,"teacher_disagreement_score":0.057563744,"about_ca_system_score_codex":0.0006879879,"about_ca_system_score_gemma":0.00050826033,"threshold_uncertainty_score":0.55321944},"labels":[],"label_agreement":null},{"id":"W4386751307","doi":"10.2196/45518","title":"Telehealth Availability for Cancer Care During the COVID-19 Pandemic: Cross-Sectional Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences","keywords":"Telehealth; Coronavirus disease 2019 (COVID-19); Pandemic; Cross-sectional study; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Telemedicine; Health care; Virology; Political science; Outbreak; Disease","score_opus":0.14175118122353278,"score_gpt":0.5078084422625364,"score_spread":0.3660572610390036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386751307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98854834,0.00050248485,0.000022810988,0.004547461,0.0007315066,0.004925041,0.00039120315,0.0002838335,0.00004729113],"genre_scores_gemma":[0.9833613,0.00022552854,0.000016001586,0.0047696508,0.0015228312,0.008405099,0.00012327307,0.000033256012,0.0015430275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980163,0.00006909814,0.0005141565,0.0004488765,0.00046191222,0.00048964116],"domain_scores_gemma":[0.99872226,0.00023706934,0.0001655083,0.00032364513,0.00026241213,0.00028911326],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00066566886,0.00016338467,0.00026447553,0.0001123122,0.0006262494,0.000025223455,0.00011292872,0.00007491849,0.0010077655],"category_scores_gemma":[0.00018080494,0.00011285753,0.00008870803,0.00048814793,0.000087809975,0.00007049563,0.00004551068,0.00025240018,0.000019747404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005221039,0.00006109612,0.97743016,0.001154373,0.000059476803,0.000004971131,0.0049488335,0.000064553635,0.000120870434,0.0000054395778,0.010179541,0.00544859],"study_design_scores_gemma":[0.0042822286,0.00030972264,0.84804523,0.000013203312,0.00003775987,0.000010981998,0.003365939,0.000026641883,0.000027953054,0.000021017027,0.14376582,0.000093479925],"about_ca_topic_score_codex":0.006968733,"about_ca_topic_score_gemma":0.0133010205,"teacher_disagreement_score":0.13358627,"about_ca_system_score_codex":0.0015045909,"about_ca_system_score_gemma":0.001303905,"threshold_uncertainty_score":0.99990547},"labels":[],"label_agreement":null},{"id":"W4386823278","doi":"10.2196/46077","title":"Moving Forward With Telehealth in Cancer Rehabilitation: Patient Perspectives From a Mixed Methods Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Irish Cancer Society; Medical Research Charities Group","keywords":"Telehealth; Rehabilitation; Thematic analysis; Medicine; Nursing; Qualitative research; Pandemic; Telemedicine; Physical therapy; Family medicine; Psychology; Coronavirus disease 2019 (COVID-19); Health care; Disease; Sociology; Pathology","score_opus":0.023192448586030784,"score_gpt":0.4048733555997773,"score_spread":0.38168090701374646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386823278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914676,0.0023742602,0.000053776166,0.0033846095,0.00056242367,0.0016257355,0.00005873942,0.00014037771,0.00033250308],"genre_scores_gemma":[0.9933336,0.00017583893,0.0010374198,0.00031737145,0.0002825796,0.0044840993,0.000012201868,0.00004508821,0.0003118325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981941,0.00024387213,0.00028766473,0.000537689,0.0003992712,0.00033741666],"domain_scores_gemma":[0.99894494,0.0002867682,0.0000978747,0.0003500246,0.00018491971,0.00013544975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031201457,0.0001904576,0.00042867023,0.00022618269,0.00006921736,0.000018916031,0.000076406606,0.00006480128,0.00038495407],"category_scores_gemma":[0.00006565585,0.00015124143,0.00007631844,0.0011412085,0.000059875525,0.00009212207,0.00005064233,0.00026456485,0.000007991226],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010112851,0.00039481535,0.5553387,0.00016331342,0.00015936178,0.000046978395,0.2405881,0.00019925709,0.00025433928,0.000024112114,0.0024169818,0.19940275],"study_design_scores_gemma":[0.0018366475,0.001247691,0.750939,0.0003485206,0.00006340923,8.677571e-7,0.23388591,0.00016118899,0.00012036509,0.0000738058,0.011125692,0.00019686719],"about_ca_topic_score_codex":0.047689807,"about_ca_topic_score_gemma":0.1407908,"teacher_disagreement_score":0.19920589,"about_ca_system_score_codex":0.0009304696,"about_ca_system_score_gemma":0.00046843794,"threshold_uncertainty_score":0.9586517},"labels":[],"label_agreement":null},{"id":"W4386871089","doi":"10.2196/45101","title":"Content Quality of YouTube Videos About Metastatic Breast Cancer in Young Women: Systematic Assessment","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; University of British Columbia; McGill University","funders":"McGill University","keywords":"Social media; Medicine; Breast cancer; Metastatic breast cancer; The Internet; Psychology; Family medicine; Cancer; World Wide Web; Computer science; Internal medicine","score_opus":0.1541448722917143,"score_gpt":0.5439804956056232,"score_spread":0.3898356233139089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386871089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98966366,0.00034914818,0.00014549463,0.0014272797,0.0013523882,0.0042666825,0.0012978946,0.0001337116,0.0013637162],"genre_scores_gemma":[0.9806322,0.0003611229,0.00006795711,0.001950549,0.00010355457,0.015391165,0.000032130134,0.000021791706,0.0014395243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9930768,0.0015830108,0.0036128804,0.0003014819,0.0006301983,0.00079560565],"domain_scores_gemma":[0.9965173,0.0006593681,0.001483331,0.0005253196,0.0005884429,0.00022622477],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005923391,0.0002213897,0.0010005671,0.00027105465,0.00026273722,0.00001926451,0.00026686367,0.00012394345,0.0030217934],"category_scores_gemma":[0.00025328557,0.00015977744,0.0001001562,0.00096810405,0.000059772476,0.0007986163,0.000115579285,0.00057888223,0.00014324667],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016029293,0.00013166646,0.84514403,0.11517176,0.00007962073,0.0000013390688,0.035323113,0.00012089786,0.00013507495,0.0008530909,0.0013410285,0.0015380682],"study_design_scores_gemma":[0.0014701579,0.000021545216,0.9651836,0.011018105,0.000014457713,4.6185994e-7,0.018224068,0.00344777,0.0000054232387,0.000109134875,0.00032552867,0.00017974158],"about_ca_topic_score_codex":0.00935189,"about_ca_topic_score_gemma":0.0037912503,"teacher_disagreement_score":0.12003956,"about_ca_system_score_codex":0.002035051,"about_ca_system_score_gemma":0.0013847247,"threshold_uncertainty_score":0.9978896},"labels":[],"label_agreement":null},{"id":"W4386970261","doi":"10.2196/51605","title":"Exploring Online Crowdfunding for Cancer-Related Costs Among LGBTQ+ (Lesbian, Gay, Bisexual, Transgender, Queer, Plus) Cancer Survivors: Integration of Community-Engaged and Technology-Based Methodologies","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Lesbian; Sexual orientation; Transgender; Queer; Attendance; Sexual minority; Psychology; Social psychology; Sociology; Political science; Gender studies","score_opus":0.4277284545794733,"score_gpt":0.40873190930297065,"score_spread":0.01899654527650263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386970261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98990405,0.0010598148,0.0026541993,0.0023408572,0.0009991621,0.0013862541,0.00025882467,0.0012395086,0.00015734039],"genre_scores_gemma":[0.99365187,0.00091206946,0.0008178941,0.00019603792,0.00023075244,0.003485053,0.00015949865,0.0001245689,0.00042225295],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.997676,0.00018205936,0.0006936294,0.00049182784,0.0002920094,0.000664449],"domain_scores_gemma":[0.99749595,0.000985645,0.0005983998,0.00042892012,0.00046246263,0.000028606806],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020051342,0.00046106539,0.00069538126,0.001316145,0.0009573531,0.00021027047,0.0005378937,0.0002899246,0.000042890784],"category_scores_gemma":[0.0010339916,0.00045905486,0.00013962855,0.0031034397,0.00033256653,0.0017847328,0.00021364816,0.0014271135,0.000004671557],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014956244,0.00078869576,0.20714238,0.012694484,0.0012872958,0.000030564817,0.013673497,0.013932283,0.17106627,0.010846397,0.0132972635,0.55374527],"study_design_scores_gemma":[0.02028456,0.00070614915,0.40192997,0.016869808,0.0015796248,0.0000053633257,0.13321051,0.14947455,0.14162189,0.015622861,0.11131057,0.0073841447],"about_ca_topic_score_codex":0.022712694,"about_ca_topic_score_gemma":0.06617772,"teacher_disagreement_score":0.5463611,"about_ca_system_score_codex":0.0005573081,"about_ca_system_score_gemma":0.00015467478,"threshold_uncertainty_score":0.99978614},"labels":[],"label_agreement":null},{"id":"W4387074088","doi":"10.2196/47359","title":"Iterative Patient Testing of a Stimuli-Responsive Swallowing Activity Sensor to Promote Extended User Engagement During the First Year After Radiation: Multiphase Remote and In-Person Observational Cohort Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Dysphagia Assessment and Management","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Dental and Craniofacial Research; National Cancer Institute","keywords":"Observational study; Cohort; Swallowing; Cohort study; Psychology; Audiology; Medicine; Physical medicine and rehabilitation; Computer science; Radiology; Internal medicine","score_opus":0.08992543257583437,"score_gpt":0.42263834909181486,"score_spread":0.3327129165159805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387074088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99166346,0.0000137794705,0.00004790486,0.0015506522,0.00022958136,0.0063266796,0.000030274163,0.00005078431,0.00008690023],"genre_scores_gemma":[0.99489343,0.00000780561,0.0008943178,0.0003204117,0.000082732,0.002612431,0.000004408235,0.000021897587,0.0011625664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828804,0.00036075004,0.00031188573,0.00035270417,0.00037510472,0.00031150563],"domain_scores_gemma":[0.99895054,0.00045445177,0.00017095609,0.00021670922,0.00014699214,0.00006035702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006833006,0.00015678309,0.00021649641,0.00015703957,0.00041500354,0.000019915906,0.00007924405,0.00004097191,0.00010859734],"category_scores_gemma":[0.000221445,0.00012361493,0.000028826205,0.0005461635,0.00001849518,0.00017830778,0.00020349375,0.0002831004,0.00001563545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064608175,0.00015016954,0.95842534,0.00014822096,0.00013791042,0.000033008517,0.03428379,0.0017553071,0.0009861585,0.000003743843,0.00034882603,0.0030814284],"study_design_scores_gemma":[0.0015460151,0.00013191397,0.9858505,0.00028402766,0.000035507615,5.5240672e-8,0.0065049096,0.0038995903,0.000079617945,0.0000032002815,0.0015362151,0.0001284488],"about_ca_topic_score_codex":0.0003384527,"about_ca_topic_score_gemma":0.0006366752,"teacher_disagreement_score":0.02777888,"about_ca_system_score_codex":0.00038939176,"about_ca_system_score_gemma":0.00011671165,"threshold_uncertainty_score":0.5040871},"labels":[],"label_agreement":null},{"id":"W4387440807","doi":"10.2196/49471","title":"Supporting Pain Self-Management in Patients With Cancer: App Development Based on a Theoretical and Evidence-Driven Approach","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Pain Management and Opioid Use","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"King Saud University","keywords":"Psychological intervention; Intervention (counseling); Persuasion; Behavior change methods; Context (archaeology); Self-management; Behavior change; Psychology; Set (abstract data type); Applied psychology; Knowledge management; Process management; Medicine; Computer science; Nursing; Social psychology; Engineering; Artificial intelligence","score_opus":0.01377570928258605,"score_gpt":0.29779585316355744,"score_spread":0.2840201438809714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387440807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99296594,0.00010455465,0.00040422872,0.001363528,0.00006011123,0.0025272034,0.0000030306041,0.00023876844,0.0023326462],"genre_scores_gemma":[0.99322814,0.00010746387,0.0026396054,0.0015954388,0.00004911131,0.0017641798,0.000030446541,0.00002988965,0.00055574084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844235,0.000074019496,0.00022927223,0.0003985258,0.00046270006,0.00039310637],"domain_scores_gemma":[0.99949974,0.00008855309,0.00007306784,0.00019828267,0.00003584569,0.00010451436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060662586,0.00017544227,0.00022416096,0.00024306553,0.00006224075,0.00002330984,0.00008613007,0.00004645458,0.00010541283],"category_scores_gemma":[0.000029027498,0.0001306598,0.000025002877,0.0004941458,0.000056291206,0.0000514933,0.000068467954,0.0001385562,0.000010827744],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005445435,0.00024946427,0.96267074,0.0009023083,0.00011455934,0.00003448666,0.00097066676,0.0006408075,0.0000016028824,0.0003571103,0.003325647,0.030188045],"study_design_scores_gemma":[0.003035179,0.0001950989,0.9358483,0.0012753366,0.00007144062,3.5209904e-8,0.0001981016,0.054158796,0.000010920846,0.000019844045,0.0049728723,0.00021406355],"about_ca_topic_score_codex":0.000017715089,"about_ca_topic_score_gemma":0.000019642961,"teacher_disagreement_score":0.053517986,"about_ca_system_score_codex":0.00023660508,"about_ca_system_score_gemma":0.000104153114,"threshold_uncertainty_score":0.5328152},"labels":[],"label_agreement":null},{"id":"W4387918895","doi":"10.2196/45145","title":"The Impact of Digital Technology on Self-Management in Cancer: Systematic Review","year":2023,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"CINAHL; Psychological intervention; Medicine; Randomized controlled trial; MEDLINE; Quality of life (healthcare); Self-management; Digital health; Intervention (counseling); Psychology; Health care; Nursing; Internal medicine","score_opus":0.04512841880279542,"score_gpt":0.4280843576673571,"score_spread":0.3829559388645617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387918895","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000069656635,0.9902018,1.3347173e-7,0.00023299277,0.0003414818,0.007174704,0.00018913946,0.000121310135,0.0017315127],"genre_scores_gemma":[0.00005865247,0.98245364,5.7397926e-7,0.000056388686,0.00010462213,0.014991607,0.000027759645,0.00008304097,0.0022236889],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9977327,0.000075946155,0.0010153082,0.00039512746,0.0004057075,0.00037521432],"domain_scores_gemma":[0.9981076,0.00016386902,0.0006164782,0.00094840326,0.00009239414,0.00007121721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026629408,0.000429188,0.0031813919,0.00039277243,0.00003538623,0.000022061697,0.00040129825,0.00022679754,0.00004364869],"category_scores_gemma":[0.000051985204,0.00022404866,0.00088523614,0.0019050306,0.000059871367,0.00003065238,0.00011668424,0.00047925737,0.0000650295],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009442833,0.000042511707,0.00001931637,0.77425253,0.0010841804,0.000034011406,0.000034701836,4.4373047e-7,4.7191646e-9,0.000074106494,0.00285074,0.22159798],"study_design_scores_gemma":[0.0001549959,0.000102183774,0.000006196649,0.66647506,0.0018313593,0.000009429973,0.0000448939,9.302484e-7,5.4554473e-8,0.000014554932,0.33120656,0.0001537781],"about_ca_topic_score_codex":0.0005696258,"about_ca_topic_score_gemma":0.0009457333,"teacher_disagreement_score":0.32835582,"about_ca_system_score_codex":0.001724381,"about_ca_system_score_gemma":0.0006302448,"threshold_uncertainty_score":0.9136439},"labels":[],"label_agreement":null},{"id":"W4387983460","doi":"10.2196/49735","title":"Development of Quality of Life in Adolescents and Young Adults With Cancer Using a Patient Support Smartphone App: Prepost Interventional Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychology; Quality of life (healthcare); Quality (philosophy); Medicine; Psychotherapist; Philosophy","score_opus":0.05572410138736802,"score_gpt":0.3758685807729253,"score_spread":0.3201444793855573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387983460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976827,0.00036086672,0.000015069452,0.00012043805,0.00022733894,0.0014588976,0.00007455182,0.000034561963,0.00002557367],"genre_scores_gemma":[0.999037,0.000026225951,0.0002763874,0.00011645533,0.000057198056,0.00038561094,0.000021657112,0.000028151197,0.00005127597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972641,0.0001122702,0.0011457397,0.00040178373,0.00081963127,0.00025650274],"domain_scores_gemma":[0.99882334,0.000021886328,0.0005323258,0.0002499502,0.00022703582,0.00014547243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005480538,0.0001937974,0.00064957346,0.00020509576,0.000039274673,0.0000067044157,0.00008064409,0.000057926914,0.00010455582],"category_scores_gemma":[0.00005293275,0.00017248622,0.000067264344,0.00051707006,0.00008848092,0.00008137447,0.00013449577,0.0001569437,0.000001449077],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002688701,0.0015852861,0.9464612,0.0026577902,0.00022555867,0.000008867382,0.042051207,0.00003444043,0.000572351,0.0000013637328,0.00013205333,0.0035811882],"study_design_scores_gemma":[0.005660749,0.00048987597,0.9783413,0.004664969,0.00004113275,0.0000027378012,0.009803065,0.00006031339,0.00069495407,0.0000016445022,0.000060062917,0.00017921632],"about_ca_topic_score_codex":0.012521907,"about_ca_topic_score_gemma":0.04927056,"teacher_disagreement_score":0.03674865,"about_ca_system_score_codex":0.00026539358,"about_ca_system_score_gemma":0.0009618718,"threshold_uncertainty_score":0.9940538},"labels":[],"label_agreement":null},{"id":"W4388503276","doi":"10.2196/46481","title":"Exploring the Incorporation of a Novel Cardiotoxicity Mobile Health App Into Care of Patients With Cancer: Qualitative Study of Patient and Provider Perspectives","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Chemotherapy-induced cardiotoxicity and mitigation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; National Institutes of Health; National Heart, Lung, and Blood Institute; Georgia Clinical and Translational Science Alliance; Ohio State University; American Heart Association","keywords":"Cardiotoxicity; Qualitative research; Cancer; Mobile apps; Medicine; Nursing; World Wide Web; Internal medicine; Sociology; Computer science; Chemotherapy","score_opus":0.05103205346674083,"score_gpt":0.3622672706535428,"score_spread":0.31123521718680197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388503276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99568677,0.00053111464,0.00002269343,0.00009378774,0.000049925122,0.00348555,0.00009731433,0.000019188583,0.000013633907],"genre_scores_gemma":[0.99704254,0.00023219892,0.000054126092,0.0000258652,0.000037503894,0.0025678817,0.000017462726,0.000016983999,0.0000054558805],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9988809,0.00009330973,0.0002935618,0.00021461734,0.00041067557,0.00010691799],"domain_scores_gemma":[0.99888146,0.000052600662,0.00034995915,0.00018668892,0.00048672047,0.00004259067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014498222,0.0001140523,0.0003929997,0.00009673319,0.000062678395,0.0000033808187,0.00003833681,0.000027188298,0.000002660027],"category_scores_gemma":[0.000018733821,0.00007793109,0.000050845767,0.00044133578,0.000118116994,0.00011693765,0.000028742803,0.0000983777,5.324452e-8],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055624906,0.00048728898,0.03325729,0.00087843504,0.0002840671,2.3890587e-7,0.9362222,0.00067569915,0.008318927,0.000025792222,0.000019613375,0.019274205],"study_design_scores_gemma":[0.0032421856,0.0033717197,0.15667191,0.00047727543,0.000064689055,2.0150887e-7,0.7944985,0.000028426644,0.04150335,0.000008946654,0.000033239718,0.00009954502],"about_ca_topic_score_codex":0.0045421124,"about_ca_topic_score_gemma":0.0013198577,"teacher_disagreement_score":0.14172368,"about_ca_system_score_codex":0.0002708069,"about_ca_system_score_gemma":0.00030068558,"threshold_uncertainty_score":0.68663454},"labels":[],"label_agreement":null},{"id":"W4388521708","doi":"10.2196/53602","title":"Behavior Change Techniques for the Maintenance of Physical Activity in Cancer","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Behavior change; Physical activity; Intervention (counseling); Randomized controlled trial; Cancer; Psychology; Behaviour change; Cluster (spacecraft); Gerontology; Computer science; Medicine; Physical therapy; Social psychology; Operating system; Psychiatry","score_opus":0.0833560197060684,"score_gpt":0.41454956348877037,"score_spread":0.33119354378270194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388521708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917294,0.0005685187,0.000024808396,0.003910219,0.00037038932,0.0028198771,0.00024686646,0.00010339387,0.00022653714],"genre_scores_gemma":[0.96138585,0.00056795735,0.000006261733,0.0003030323,0.0006012829,0.036027536,0.0000045235447,0.000023993754,0.0010795813],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992995,0.000012864131,0.00008991005,0.00018797646,0.00017331906,0.00023638488],"domain_scores_gemma":[0.99951154,0.00008083786,0.00006020169,0.00022440653,0.00008671488,0.0000363166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010167476,0.00010393545,0.00024049124,0.00007019597,0.000029006384,0.000004378848,0.000092929244,0.000057005214,0.000050261573],"category_scores_gemma":[0.0000107200885,0.0000692689,0.00012499123,0.00044084166,0.00007286905,0.00005419912,0.000035344685,0.00014180742,0.0000020452658],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058259396,0.00027003916,0.062126733,0.0004869301,0.000041083913,0.000011546823,0.004120648,0.000002640297,0.021186687,0.00018442815,0.0072173798,0.9037693],"study_design_scores_gemma":[0.0009254536,0.00025781477,0.80835325,0.00060286094,0.00012290491,0.0000014670021,0.000574662,0.00068580627,0.06346903,0.00005074302,0.12475794,0.0001980861],"about_ca_topic_score_codex":0.008841371,"about_ca_topic_score_gemma":0.015450405,"teacher_disagreement_score":0.9035712,"about_ca_system_score_codex":0.0001715245,"about_ca_system_score_gemma":0.00010017104,"threshold_uncertainty_score":0.99775887},"labels":[],"label_agreement":null},{"id":"W4388566423","doi":"10.2196/42905","title":"Understanding the Needs and Lived Experiences of Patients With Graft-Versus-Host Disease: Real-World European Public Social Media Listening Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Novartis Pharmaceuticals UK Limited; Gilead Sciences","keywords":"Active listening; Host (biology); Social media; Disease; Lived experience; Medicine; Psychology; Communication; Biology; Computer science; Pathology; World Wide Web; Ecology; Psychotherapist","score_opus":0.2829779764210527,"score_gpt":0.4195569518103061,"score_spread":0.1365789753892534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388566423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919837,0.00005196263,0.0000014305419,0.0024158,0.0025397488,0.0012170903,0.000007036307,0.00008805218,0.0016951775],"genre_scores_gemma":[0.9977787,0.000092771494,0.000003274739,0.000036099755,0.0009065233,0.0011059953,0.000007653539,0.000019139705,0.00004984308],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99807775,0.0005043762,0.00020037447,0.00019069893,0.000691349,0.00033546265],"domain_scores_gemma":[0.9981204,0.0012613607,0.00020060326,0.00010641765,0.000136405,0.00017479513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068541215,0.0001002503,0.00014315014,0.00016664687,0.0011603243,0.00010056724,0.00022577825,0.0000263905,0.00008297165],"category_scores_gemma":[0.0006191244,0.000075316726,0.000026403428,0.0017348891,0.0006139532,0.00021813462,0.000059411952,0.00011413623,0.000003040522],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006205983,0.000039644372,0.36272037,0.000010563638,0.000013580253,5.2414833e-7,0.635216,2.9408963e-7,2.6316957e-7,0.0006442336,0.00038292384,0.00090956007],"study_design_scores_gemma":[0.00030391145,0.000026986629,0.5293295,0.000015576916,0.000014181979,1.4143171e-9,0.4691788,0.0000018772316,1.1650429e-7,0.000025424835,0.0010461538,0.00005748338],"about_ca_topic_score_codex":0.0016981798,"about_ca_topic_score_gemma":0.015858525,"teacher_disagreement_score":0.16660912,"about_ca_system_score_codex":0.0003712802,"about_ca_system_score_gemma":0.00041682474,"threshold_uncertainty_score":0.8924394},"labels":[],"label_agreement":null},{"id":"W4388706762","doi":"10.2196/47646","title":"Open-Source, Step-Counting Algorithm for Smartphone Data Collected in Clinical and Nonclinical Settings: Algorithm Development and Validation Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Physical Activity and Health","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; National Institute of Mental Health; National Institute of Nursing Research; National Cancer Institute; National Heart, Lung, and Blood Institute; Breast Cancer Research Foundation","keywords":"Accelerometer; Computer science; Algorithm; Wearable computer; Generalizability theory; Data validation; Wearable technology; Data mining; Statistics; Mathematics; Database; Embedded system","score_opus":0.16302337637871192,"score_gpt":0.47444487029420146,"score_spread":0.31142149391548957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388706762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934746,0.00005414159,0.0017145945,0.0014087469,0.00017276572,0.0029477333,0.00010982268,0.00007029986,0.00004728601],"genre_scores_gemma":[0.84835565,0.0007915755,0.13357021,0.0040690447,0.0030709386,0.004179384,0.0016072155,0.00020271254,0.0041532735],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99804324,0.00011361396,0.0006377331,0.00065508956,0.00024078971,0.00030955192],"domain_scores_gemma":[0.9986232,0.00067539257,0.0001560306,0.00029033603,0.00008772583,0.00016734455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019546093,0.00014305358,0.0006007791,0.00009524991,0.00018367445,0.00007476986,0.00017700558,0.00010872366,0.000012038913],"category_scores_gemma":[0.00025022237,0.00012869264,0.000021808573,0.0004921393,0.00007306305,0.00023636688,0.0006426762,0.00032862998,0.0000066018474],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020014968,0.0011877109,0.064749554,0.00010105203,0.00008222381,0.000011204362,0.000939064,4.2762667e-7,0.000017089686,0.0000015276435,0.0062481076,0.9264619],"study_design_scores_gemma":[0.011336574,0.0008574124,0.84565294,0.00032412758,0.000075607655,0.000004153899,0.0010754059,0.07503774,0.00006975153,0.000029546409,0.06528842,0.00024832858],"about_ca_topic_score_codex":0.0003387983,"about_ca_topic_score_gemma":0.00054563396,"teacher_disagreement_score":0.92621356,"about_ca_system_score_codex":0.000077503544,"about_ca_system_score_gemma":0.0005108008,"threshold_uncertainty_score":0.5247934},"labels":[],"label_agreement":null},{"id":"W4388837377","doi":"10.2196/46474","title":"Noninvasive Staging of Lymph Node Status in Breast Cancer Using Machine Learning: External Validation and Further Model Development","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Breast cancer; Lymphovascular invasion; Nomogram; Cohort; Sentinel lymph node; Lymph node; Radiology; Sentinel node; Oncology; Internal medicine; Cancer; Metastasis","score_opus":0.021592350716394485,"score_gpt":0.30320369956507337,"score_spread":0.2816113488486789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388837377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977294,0.0014452288,0.00028563026,0.00018012202,0.00005288605,0.00013170355,0.00013377775,0.00001271733,0.000028513525],"genre_scores_gemma":[0.99718213,0.0016825945,0.0006201286,0.000059128226,0.000060840015,0.00017439188,0.000046938294,0.000027425422,0.00014640622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991441,0.00002541211,0.00016982741,0.00027606662,0.00012852575,0.00025609857],"domain_scores_gemma":[0.99968874,0.000006723024,0.00010162181,0.000092798626,0.00006674629,0.000043377247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006126713,0.0001462354,0.00015403272,0.000077163844,0.000059026643,0.000010256852,0.00005086413,0.00005380169,0.000023591207],"category_scores_gemma":[0.000003987859,0.00013876485,0.000026321495,0.00013632144,0.00004596722,0.000007838559,0.000114368995,0.00005227769,0.0000010874563],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013072335,0.000029293205,0.8412176,0.000057702076,0.0000889892,0.0000032017056,0.0015473205,0.046780348,0.10382651,0.000002125277,0.000016309263,0.006299915],"study_design_scores_gemma":[0.0024248473,0.000016168555,0.84940547,0.00031830184,0.000044231292,0.000012019136,0.00050794554,0.025184453,0.12131825,0.000024705841,0.00036177147,0.00038186816],"about_ca_topic_score_codex":0.0015554645,"about_ca_topic_score_gemma":0.00038693752,"teacher_disagreement_score":0.021595895,"about_ca_system_score_codex":0.00016510327,"about_ca_system_score_gemma":0.00026147533,"threshold_uncertainty_score":0.56586665},"labels":[],"label_agreement":null},{"id":"W4388951379","doi":"10.2196/49934","title":"Feasibility of a Health Coach Intervention to Reduce Sitting Time and Improve Physical Functioning Among Breast Cancer Survivors: Pilot Intervention Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of California, San Diego; National Institutes of Health; National Heart, Lung, and Blood Institute; St. Baldrick's Foundation","keywords":"Breast cancer; Sitting; Intervention (counseling); Quality of life (healthcare); Medicine; Physical therapy; Sedentary behavior; Physical activity; Cancer survivor; Cancer; Physical medicine and rehabilitation; Gerontology; Nursing","score_opus":0.0409086820040235,"score_gpt":0.3835399451496414,"score_spread":0.3426312631456179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388951379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99606496,0.00027379527,0.00006229736,0.0007874028,0.00066074805,0.0018046892,0.00015015392,0.000140524,0.00005542548],"genre_scores_gemma":[0.9975244,0.000018319675,0.000004491028,0.000075200114,0.00041116294,0.00075778604,0.000036815214,0.000037005168,0.0011348313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99803996,0.00023463032,0.0005007534,0.00054116495,0.00036453252,0.00031898433],"domain_scores_gemma":[0.99897134,0.00005008768,0.0002748931,0.00029706288,0.00023519872,0.00017140714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009517454,0.0001958624,0.00052258524,0.00017269462,0.00011121964,0.000032528795,0.00007593923,0.00004410796,0.00016326984],"category_scores_gemma":[0.000037819478,0.00018470288,0.0001699162,0.00071595993,0.00006308678,0.00015694782,0.00013475821,0.00022521775,0.000011216325],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014164995,0.0011978504,0.8128722,0.0010141719,0.00018484298,0.000003238602,0.010934666,0.000049353144,0.005582658,0.0000029568946,0.0005299514,0.16621162],"study_design_scores_gemma":[0.0021018728,0.0016906266,0.98594844,0.00115862,0.000088956214,0.0000028427648,0.0075536254,0.0008812184,0.0003476288,0.000011406846,0.00005277875,0.00016197252],"about_ca_topic_score_codex":0.096057065,"about_ca_topic_score_gemma":0.0461296,"teacher_disagreement_score":0.17307627,"about_ca_system_score_codex":0.0004942093,"about_ca_system_score_gemma":0.00011019899,"threshold_uncertainty_score":0.97127604},"labels":[],"label_agreement":null},{"id":"W4389098765","doi":"10.2196/48040","title":"Development and Promotion of an mHealth App for Adolescents Based on the European Code Against Cancer: Retrospective Cohort Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"mHealth; Social media; Descriptive statistics; Promotion (chess); Health promotion; Cohort; Psychology; Internet privacy; Medicine; World Wide Web; Medical education; Computer science; Public health; Political science; Nursing; Psychological intervention","score_opus":0.0805421454086967,"score_gpt":0.4523563539328317,"score_spread":0.371814208524135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389098765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97318834,0.00003661907,0.00009303162,0.0026237397,0.0003755411,0.022102674,0.00030231016,0.00017383946,0.0011038746],"genre_scores_gemma":[0.92248905,0.00020903406,0.000120360215,0.0019737084,0.0002787792,0.07448204,0.00008097688,0.000048014233,0.00031802143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974384,0.0006004482,0.0006179452,0.00046850738,0.00033089728,0.00054382056],"domain_scores_gemma":[0.9985101,0.0001317927,0.0004173305,0.0004083575,0.00026099008,0.00027140108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024635184,0.00016216794,0.00029306122,0.00011137773,0.0011682452,0.000005816563,0.0001682826,0.0000725656,0.000038654634],"category_scores_gemma":[0.000058971462,0.00012027596,0.000025889765,0.00041854885,0.000043772907,0.00004053102,0.00004661868,0.00036126826,0.000025924282],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002230359,0.00054436794,0.9206122,0.0014819164,0.000018707997,6.921884e-7,0.0034668318,0.00007772249,0.000055405697,0.00023921832,0.008519993,0.064759895],"study_design_scores_gemma":[0.001398321,0.00021565148,0.96754146,0.00049215363,0.000015122102,2.870946e-8,0.00093757233,0.001755832,0.000021988886,0.000025138528,0.027494648,0.00010208842],"about_ca_topic_score_codex":0.00036501104,"about_ca_topic_score_gemma":0.0037653786,"teacher_disagreement_score":0.06465781,"about_ca_system_score_codex":0.00062219024,"about_ca_system_score_gemma":0.0012550385,"threshold_uncertainty_score":0.8985316},"labels":[],"label_agreement":null},{"id":"W4389333403","doi":"10.2196/45331","title":"Telehealth With Comprehensive Live-Fed Real-World Data as a Patient Care Platform for Lung Cancer: Implementation and Evaluation Study","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Telehealth; Lung cancer; Medicine; Real world data; Health care; Telemedicine; Medical emergency; Computer science; Data science; Oncology; Political science","score_opus":0.13038620432779371,"score_gpt":0.5139401645214465,"score_spread":0.38355396019365284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389333403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98421323,0.000642793,0.0000149969355,0.001900152,0.00022285151,0.012212325,0.0006055525,0.00011710533,0.00007099859],"genre_scores_gemma":[0.9862714,0.00080567074,0.00023326394,0.0011516578,0.00036624089,0.0071675624,0.003907857,0.00004620096,0.000050164897],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9977839,0.000056654717,0.0004748544,0.00055978226,0.00070147414,0.00042336262],"domain_scores_gemma":[0.9983415,0.00012120568,0.0003344457,0.0004178655,0.0005942025,0.00019077497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028410234,0.00020750158,0.000371191,0.00027565597,0.00025590858,0.000024930467,0.00008504065,0.00002957048,0.00022373059],"category_scores_gemma":[0.000014181116,0.00016818712,0.00002150999,0.00059575133,0.000038544087,0.00022182122,0.000079431564,0.00012665552,0.0000029991459],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012068924,0.00008109134,0.44333223,0.0008215724,0.00019350399,0.000008301898,0.019306598,0.000021484526,0.000044521094,0.000017921531,0.023821352,0.5111446],"study_design_scores_gemma":[0.01328099,0.0071838126,0.83257097,0.00024318912,0.0007837361,0.000005572437,0.124797545,0.004187316,0.000102289225,0.000012816502,0.016593346,0.0002384322],"about_ca_topic_score_codex":0.030919656,"about_ca_topic_score_gemma":0.11418901,"teacher_disagreement_score":0.5109061,"about_ca_system_score_codex":0.0006930928,"about_ca_system_score_gemma":0.0010633924,"threshold_uncertainty_score":0.97553355},"labels":[],"label_agreement":null},{"id":"W4389991361","doi":"10.2196/54665","title":"Correction: The Patient Experience of Acute Lymphoblastic Leukemia and Its Treatment: Social Media Review","year":2023,"lang":"en","type":"erratum","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lymphoblastic Leukemia; Social media; Medicine; Intensive care medicine; Psychology; Internal medicine; Leukemia; Computer science; World Wide Web","score_opus":0.08226920010087482,"score_gpt":0.41540593161936956,"score_spread":0.33313673151849477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389991361","genre_codex":"editorial","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0140937995,0.18897438,6.497958e-7,0.016385194,0.7521529,0.009362125,0.000453388,0.000297184,0.018280353],"genre_scores_gemma":[0.009222737,0.89027363,0.000003328016,0.00094986253,0.023261227,0.032628924,0.00014398382,0.00009564852,0.043420646],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99783057,0.0003123324,0.00042257478,0.00034746336,0.00070719526,0.00037988243],"domain_scores_gemma":[0.9973715,0.0014880348,0.0005735621,0.00016443427,0.00026817637,0.00013432433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021821706,0.00022356621,0.00049185456,0.00006458105,0.0007407177,0.000029530389,0.00025450412,0.00037474427,0.00037427287],"category_scores_gemma":[0.0013027455,0.00017200402,0.00011716792,0.0007813578,0.000416942,0.00009245941,0.000043772878,0.00028923742,0.00003157577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008190292,0.000015155765,0.000060507464,0.00034787296,0.00004566391,0.0000013946042,0.1738856,1.2968215e-7,5.9751784e-7,0.00006425106,0.7687207,0.056849986],"study_design_scores_gemma":[0.00011603933,0.00005295776,0.0034595353,0.0021305478,0.00021993196,7.1722377e-7,0.006222556,0.000011088513,0.000006077708,0.000034175486,0.987554,0.00019237833],"about_ca_topic_score_codex":0.0069350232,"about_ca_topic_score_gemma":0.008225085,"teacher_disagreement_score":0.72889173,"about_ca_system_score_codex":0.002716556,"about_ca_system_score_gemma":0.0048182993,"threshold_uncertainty_score":0.9996779},"labels":[],"label_agreement":null},{"id":"W4390919838","doi":"10.2196/48428","title":"Assessing the Quality, Privacy, and Security of Breast Cancer Apps for Arabic Speakers: Systematic Search and Review of Smartphone Apps","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Breast cancer; Internet privacy; App store; Medicine; Cancer; Computer science; World Wide Web; Internal medicine","score_opus":0.11685002049838043,"score_gpt":0.5564301805031706,"score_spread":0.43958016000479017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390919838","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28574678,0.6436641,0.00046521146,0.03810866,0.0007339774,0.029364435,0.0012460077,0.000097595555,0.00057319476],"genre_scores_gemma":[0.79085827,0.15963116,0.00014940102,0.0023762633,0.00034278087,0.04631257,0.000020496334,0.00004167047,0.00026737605],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99713564,0.00060845545,0.0011960566,0.00033843558,0.00030033785,0.00042105172],"domain_scores_gemma":[0.9972833,0.0013541358,0.0003857822,0.00042617237,0.0003537973,0.00019680535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031804082,0.00015631829,0.0006889118,0.000072621595,0.00036563448,0.000018263156,0.00015528912,0.0001198933,0.00015422671],"category_scores_gemma":[0.00011532837,0.00010136633,0.00006656118,0.00039452748,0.00015363749,0.00013363962,0.00011274292,0.00041635422,0.0000043995383],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026817426,0.00003627885,0.0062038614,0.9663304,0.00004748986,1.9097949e-7,0.002738713,6.2002886e-7,0.000098466866,0.0043278513,0.00753162,0.01265767],"study_design_scores_gemma":[0.0019583905,0.000108246684,0.15113887,0.76463276,0.00056401634,0.000022106347,0.0073034307,0.0018813547,0.0000660712,0.0027780486,0.06903971,0.0005069761],"about_ca_topic_score_codex":0.0021070035,"about_ca_topic_score_gemma":0.0005694808,"teacher_disagreement_score":0.5051115,"about_ca_system_score_codex":0.0001936357,"about_ca_system_score_gemma":0.0016034704,"threshold_uncertainty_score":0.41335988},"labels":[],"label_agreement":null},{"id":"W4390965354","doi":"10.2196/46625","title":"Improving Concordance Between Clinicians With Australian Guidelines for Bowel Cancer Prevention Using a Digital Application: Randomized Controlled Crossover Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Concordance; Usability; Guideline; Randomized controlled trial; Vignette; Colonoscopy; MEDLINE; Family medicine; Medical physics; Colorectal cancer; Cancer; Psychology; Internal medicine; Computer science; Pathology","score_opus":0.07592439669248942,"score_gpt":0.4460257382344055,"score_spread":0.3701013415419161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390965354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91317236,0.0024210934,0.068661995,0.0015233875,0.00064534805,0.012986182,0.00013969198,0.00031271702,0.00013721407],"genre_scores_gemma":[0.9835496,0.000030595576,0.00075779407,0.00015042358,0.0022414082,0.008372835,0.000021832593,0.000059058628,0.004816469],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99800134,0.000047062054,0.0007733063,0.0005583296,0.000334691,0.0002852734],"domain_scores_gemma":[0.99854755,0.00025216702,0.00030066902,0.00022720493,0.0005685665,0.000103838465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005673116,0.00026200432,0.0011096625,0.00011300161,0.00014040607,0.000216046,0.000074712385,0.00010481178,0.000043810105],"category_scores_gemma":[0.00015527433,0.00018273947,0.00039533773,0.00031453618,0.000096720876,0.00026666318,0.000022607257,0.00020496103,0.0000026401199],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.76452893,0.0002260756,0.028404094,0.00074348995,0.002549297,0.00001667584,0.0009916772,0.0010197357,0.0009324832,0.000020773956,0.0019251804,0.19864158],"study_design_scores_gemma":[0.8337396,0.0054190997,0.0074567813,0.0029966023,0.0060147494,0.00003375992,0.0014739383,0.1217119,0.0009078604,0.00023142385,0.018970516,0.001043769],"about_ca_topic_score_codex":0.0015870546,"about_ca_topic_score_gemma":0.00084467576,"teacher_disagreement_score":0.19759782,"about_ca_system_score_codex":0.00036219033,"about_ca_system_score_gemma":0.0005938298,"threshold_uncertainty_score":0.74518996},"labels":[],"label_agreement":null},{"id":"W4391039240","doi":"10.2196/52322","title":"Machine Learning Approaches to Predict Symptoms in People With Cancer: Systematic Review","year":2024,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Systematic review; CINAHL; Checklist; Medicine; MEDLINE; Cancer; Artificial intelligence; Machine learning; Psychology; Psychological intervention; Computer science; Psychiatry; Internal medicine","score_opus":0.06589265971625585,"score_gpt":0.3419835070891101,"score_spread":0.2760908473728542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391039240","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000039987394,0.98759794,0.000005993983,0.00053774327,0.000538755,0.009736039,0.00022908166,0.00018031508,0.0011701171],"genre_scores_gemma":[0.000056396715,0.95233136,0.0000066293946,0.0005321683,0.00046385988,0.037086725,0.00020041228,0.00021595122,0.009106481],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9966095,0.00025450368,0.0010160374,0.00091591774,0.0006795639,0.0005244795],"domain_scores_gemma":[0.9984923,0.00008168213,0.00036015318,0.00070736493,0.000067964065,0.00029053955],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043024632,0.00078545854,0.00525435,0.00040227536,0.00004467844,0.00005675152,0.0003043626,0.00026499748,0.00036529542],"category_scores_gemma":[0.000044191434,0.00047743123,0.00057396706,0.002019436,0.000033463948,0.000057201396,0.00012640831,0.0012904939,0.00012212347],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002120295,0.000028164139,0.000270499,0.89590716,0.00057935313,0.0000570232,0.00054270454,0.0000070582164,8.608969e-9,0.000018177821,0.001262369,0.10130626],"study_design_scores_gemma":[0.00013366048,0.000102039754,0.0000056594154,0.5470747,0.0064662774,0.0000637886,0.000034019562,0.000024170518,3.088447e-8,4.0972898e-7,0.44579855,0.00029671783],"about_ca_topic_score_codex":0.0034516354,"about_ca_topic_score_gemma":0.022694327,"teacher_disagreement_score":0.44453618,"about_ca_system_score_codex":0.001537693,"about_ca_system_score_gemma":0.0013466047,"threshold_uncertainty_score":0.9997677},"labels":[],"label_agreement":null},{"id":"W4391331680","doi":"10.2196/48860","title":"Toxic Relationships Described by People With Breast Cancer on Reddit: Topic Modeling Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Breast cancer; Domestic violence; Social support; Abandonment (legal); Shame; Psychology; Social media; Social psychology; Medicine; Poison control; Suicide prevention; Cancer; Environmental health","score_opus":0.03397160420911291,"score_gpt":0.3170229798626435,"score_spread":0.28305137565353056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391331680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861525,0.004845284,0.00030982713,0.0045060376,0.0008905406,0.0009881596,0.00014766719,0.00023945402,0.0019204933],"genre_scores_gemma":[0.99188596,0.00019215976,0.000010874668,0.00044064102,0.0006478182,0.0014627229,0.000027601833,0.000058809826,0.005273413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985823,0.00005185601,0.00020062695,0.00046615928,0.0004205848,0.00027846184],"domain_scores_gemma":[0.999342,0.0000417904,0.000030049567,0.000332217,0.00010895434,0.00014496958],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000116615265,0.00020904122,0.0002697838,0.00010863578,0.00012419958,0.00006648275,0.000082624145,0.00008746445,0.00103209],"category_scores_gemma":[0.000005833413,0.00015724855,0.00007281407,0.0005681225,0.000021278014,0.00012538901,0.000021644097,0.0004818657,0.000031247677],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003942966,0.0016024245,0.6811367,0.0016502232,0.0016078467,0.000342826,0.07374558,0.010158024,0.0019102093,0.0006129017,0.090059645,0.13323066],"study_design_scores_gemma":[0.01469528,0.004769035,0.5780132,0.011909751,0.0033181868,0.0003680334,0.054867472,0.18511294,0.0012626664,0.00041912877,0.1412549,0.0040094606],"about_ca_topic_score_codex":0.0057115005,"about_ca_topic_score_gemma":0.04566579,"teacher_disagreement_score":0.1749549,"about_ca_system_score_codex":0.00051917083,"about_ca_system_score_gemma":0.00028813878,"threshold_uncertainty_score":0.9998811},"labels":[],"label_agreement":null},{"id":"W4391531116","doi":"10.2196/46116","title":"Digital Health Psychosocial Intervention in Adult Patients With Cancer and Their Families: Systematic Review and Meta-Analysis","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Psychosocial; Randomized controlled trial; Psychological intervention; Medicine; PsycINFO; CINAHL; Meta-analysis; Distress; Quality of life (healthcare); Cochrane Library; Critical appraisal; MEDLINE; Physical therapy; Clinical psychology; Psychiatry; Alternative medicine; Nursing; Internal medicine","score_opus":0.021531213633188804,"score_gpt":0.3406530768585221,"score_spread":0.31912186322533326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391531116","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10891353,0.8774898,0.00006214877,0.008313445,0.00020208322,0.003586599,0.000975184,0.00007172785,0.0003854537],"genre_scores_gemma":[0.9764933,0.017595695,0.0000029183495,0.002686536,0.000039474773,0.0020591607,0.000055911016,0.000022930068,0.0010440876],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99893224,0.000049778504,0.00035747656,0.00031695006,0.00018956595,0.00015398483],"domain_scores_gemma":[0.99951535,0.00002878799,0.00010298353,0.00016163578,0.000102860555,0.00008835034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012951712,0.00017360058,0.0012063589,0.00014893271,0.000026621914,0.00006368032,0.000036548594,0.000038154518,0.00015770127],"category_scores_gemma":[0.00001029034,0.0000991193,0.00028646263,0.0006335656,0.000038783677,0.00013928112,0.000018156681,0.00012883198,0.0000013352036],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018446235,0.00021059926,0.054347094,0.8343362,0.07719413,0.000007764483,0.01058424,0.0000021246926,5.050327e-7,0.00007608109,0.002691944,0.020364838],"study_design_scores_gemma":[0.005982387,0.0015865499,0.11043242,0.17804304,0.68193835,0.000015301257,0.009068088,0.00032735695,0.00000834607,0.0001054493,0.010889018,0.0016036707],"about_ca_topic_score_codex":0.0026464264,"about_ca_topic_score_gemma":0.031046648,"teacher_disagreement_score":0.86757976,"about_ca_system_score_codex":0.000183988,"about_ca_system_score_gemma":0.00007677543,"threshold_uncertainty_score":0.98663425},"labels":[],"label_agreement":null},{"id":"W4391563984","doi":"10.2196/47944","title":"Exploring Web-Based Information and Resources That Support Adolescents and Young Adults With Cancer to Resume Study and Work: Environmental Scan Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Readability; Psychosocial; Medicine; Psychology; Medical education; Gerontology; Computer science; Psychiatry","score_opus":0.039657868461781584,"score_gpt":0.3028061291891677,"score_spread":0.2631482607273861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391563984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99441683,0.0014424605,0.0000032075716,0.0009552623,0.00025591961,0.0026949842,0.00007876521,0.00010462365,0.00004796243],"genre_scores_gemma":[0.9972385,0.00037428836,0.000023894507,0.0006482367,0.00019536675,0.001357781,0.000011091146,0.00003926194,0.000111585454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818414,0.000065105414,0.00031860467,0.00048287294,0.0006541941,0.00029509782],"domain_scores_gemma":[0.9993214,0.000027663034,0.000080638805,0.00025685428,0.00002045785,0.00029296262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000317822,0.00027058742,0.00034653908,0.0002185136,0.0001275439,0.00016152924,0.000065766515,0.000041818847,0.000060729606],"category_scores_gemma":[0.000008279833,0.0002238384,0.000023360666,0.0002316704,0.00008459434,0.00057141937,0.000111983536,0.00023873303,0.000005028203],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017048029,0.00019949923,0.8875634,0.00045948784,0.000117911004,0.000028957147,0.07733419,0.0000064681153,0.000017613233,1.6541385e-7,0.00043618373,0.032131348],"study_design_scores_gemma":[0.004845829,0.0011765338,0.9518758,0.00226132,0.00016745308,0.000009074103,0.034483768,0.000053684675,0.000045545436,2.6841278e-7,0.0048140083,0.00026670363],"about_ca_topic_score_codex":0.0030839469,"about_ca_topic_score_gemma":0.0067543825,"teacher_disagreement_score":0.06431243,"about_ca_system_score_codex":0.00023160917,"about_ca_system_score_gemma":0.00012105076,"threshold_uncertainty_score":0.91278654},"labels":[],"label_agreement":null},{"id":"W4391761526","doi":"10.2196/53956","title":"Need for Culturally Competent and Responsive Cancer Education for African Immigrant Families and Youth Living in the United States","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Immigration; Psychological intervention; Intervention (counseling); Focus group; Ethnic group; Medicine; Gerontology; Sociology; Political science; Nursing","score_opus":0.03180463416210138,"score_gpt":0.36061510646875644,"score_spread":0.32881047230665505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391761526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9513254,0.015448534,0.000049498674,0.030192584,0.00033428238,0.0021203014,0.0004411431,0.00004608333,0.000042153733],"genre_scores_gemma":[0.9893195,0.0031172829,0.00017787103,0.004147347,0.00041260058,0.002216586,0.00014165038,0.00002923527,0.00043793124],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99897605,0.00007681517,0.00025261487,0.00030180212,0.00016792724,0.00022478499],"domain_scores_gemma":[0.99891585,0.0006481128,0.00006341777,0.0001401182,0.00016015179,0.00007233541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003769305,0.00016395206,0.00025707897,0.00018998975,0.000097327924,0.00008158304,0.00006758873,0.000050887014,0.000009197839],"category_scores_gemma":[0.000117979114,0.00010937401,0.00005951035,0.00033469225,0.00009830872,0.00008619611,0.000024438861,0.00013701925,2.7804037e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019706723,0.00021570314,0.0192567,0.0034807725,0.00035095945,0.000003178957,0.9250807,0.00006766407,0.001290087,0.0018890444,0.017371105,0.029023387],"study_design_scores_gemma":[0.0023768125,0.0007056993,0.2670316,0.0060061878,0.00047752808,0.000019056824,0.5757017,0.002466399,0.00024592868,0.0006586248,0.14377564,0.00053481216],"about_ca_topic_score_codex":0.019114459,"about_ca_topic_score_gemma":0.012404186,"teacher_disagreement_score":0.34937903,"about_ca_system_score_codex":0.00016040682,"about_ca_system_score_gemma":0.00040717045,"threshold_uncertainty_score":0.98741734},"labels":[],"label_agreement":null},{"id":"W4391810221","doi":"10.2196/46979","title":"Co-Design, Development, and Evaluation of a Mobile Solution to Improve Medication Adherence in Cancer: Design Science Research Approach","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Design science research; Medication adherence; Research design; Cancer; Cancer treatment; Computer science; Medicine; Engineering; Sociology; Internal medicine","score_opus":0.34997491795983987,"score_gpt":0.5276381691343174,"score_spread":0.1776632511744775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391810221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8526495,0.017451387,0.11102833,0.0020158968,0.0005770573,0.01195721,0.000013752438,0.000117402895,0.0041894624],"genre_scores_gemma":[0.9803122,0.0003745703,0.006268997,0.0000927507,0.00007968595,0.01216398,0.000005708448,0.0000109473285,0.00069111196],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99723047,0.00016138889,0.00032642527,0.000511672,0.0014737524,0.0002962736],"domain_scores_gemma":[0.998798,0.00009730609,0.00006680669,0.00023550972,0.00063337234,0.00016897479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055360124,0.00009907849,0.00017645142,0.00045157957,0.000097146105,0.00003201971,0.00016946316,0.00006774233,0.0003422394],"category_scores_gemma":[0.0001892907,0.0000857657,0.000012789661,0.0015373555,0.00030731704,0.00018383958,0.000033315864,0.00022851363,0.00005975967],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015393387,0.00015492688,0.0015239402,0.0005359789,0.000020747417,0.0000014170265,0.0056796577,0.00031278504,0.2797271,0.00012999217,0.007115864,0.70464367],"study_design_scores_gemma":[0.0031052113,0.0013105343,0.09426748,0.005337076,0.00010793844,0.000015887224,0.0026510837,0.38083455,0.4965453,0.00084512914,0.014435901,0.00054390007],"about_ca_topic_score_codex":0.0002871521,"about_ca_topic_score_gemma":0.000022410246,"teacher_disagreement_score":0.7040998,"about_ca_system_score_codex":0.0008122096,"about_ca_system_score_gemma":0.0058857095,"threshold_uncertainty_score":0.99975},"labels":[],"label_agreement":null},{"id":"W4392100130","doi":"10.2196/52501","title":"Web-Based Scaffolds: The Feasibility of a Constructivist Approach to Oncology Fellow Learning","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Advances in Oncology and Radiotherapy","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of California, San Francisco","keywords":"Constructivist teaching methods; Web application; Computer science; Medicine; Medical physics; World Wide Web; Psychology; Mathematics education; Teaching method","score_opus":0.035726623601726494,"score_gpt":0.42760751680356723,"score_spread":0.3918808932018407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392100130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91497815,0.008220387,0.00816028,0.010928729,0.0018587105,0.0022639078,0.000023600714,0.00025658825,0.05330964],"genre_scores_gemma":[0.99131924,0.00011474946,0.0041812924,0.0015404001,0.00045568674,0.00036700067,0.0000035493267,0.00002092858,0.0019971388],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990834,0.000111656314,0.00018875318,0.00028994548,0.0001398128,0.00018643808],"domain_scores_gemma":[0.9993012,0.00028526882,0.000053625077,0.00023032264,0.000059304486,0.00007027915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029028347,0.000114059534,0.00030932183,0.00006776926,0.00008040388,0.0000070315805,0.00010225867,0.00012459472,0.00025674797],"category_scores_gemma":[0.000042094984,0.0000697763,0.000104707506,0.0003214098,0.00048787985,0.000032501648,0.000018630804,0.00027211965,0.0000108677295],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0050992207,0.0016185502,0.26965547,0.002093917,0.0008935764,0.00013017598,0.007246952,0.0075505055,0.043690994,0.0066893073,0.053123046,0.60220826],"study_design_scores_gemma":[0.0029399258,0.0016667361,0.016043251,0.00033447845,0.00014217796,0.00012662192,0.0007522399,0.013046621,0.0018233169,0.00026924117,0.962629,0.00022634951],"about_ca_topic_score_codex":0.000020738536,"about_ca_topic_score_gemma":0.000024347217,"teacher_disagreement_score":0.909506,"about_ca_system_score_codex":0.00042794985,"about_ca_system_score_gemma":0.0008717975,"threshold_uncertainty_score":0.2845395},"labels":[],"label_agreement":null},{"id":"W4392145134","doi":"10.2196/46303","title":"Digital Smoking Cessation Intervention for Cancer Survivors: Analysis of Predictors and Moderators of Engagement and Outcome Alongside a Randomized Controlled Trial","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Smoking cessation; Randomized controlled trial; Outcome (game theory); Intervention (counseling); Medicine; Cancer; Physical therapy; Gerontology; Psychology; Internal medicine; Psychiatry","score_opus":0.03590120636355614,"score_gpt":0.37050789596817163,"score_spread":0.3346066896046155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392145134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932141,0.0010496366,0.0021670554,0.00009159304,0.00041793575,0.00287461,0.00011595541,0.000027217879,0.00004193531],"genre_scores_gemma":[0.9971522,0.00012458219,0.000009723047,0.000010718455,0.00009018096,0.0023635207,0.00006731145,0.000013546109,0.0001682003],"study_design_codex":"observational","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9987193,0.00007848438,0.0006519568,0.00020505012,0.0002546998,0.000090528825],"domain_scores_gemma":[0.99916244,0.0003396368,0.00024986823,0.00008416214,0.00012659012,0.000037294154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085668854,0.00011680615,0.0009911016,0.00037281818,0.000028642455,0.000049202274,0.000022680124,0.00007254326,0.000072300434],"category_scores_gemma":[0.00011948427,0.00008472485,0.0004052068,0.00026151558,0.0000664345,0.00015296368,0.00001232813,0.00007632891,1.0159851e-8],"study_design_candidate":"randomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.44072556,0.00016205327,0.5270019,0.00092536974,0.006816075,0.0000016644832,0.0031348187,0.0002064894,0.00022172183,0.00015559554,0.000026575635,0.020622177],"study_design_scores_gemma":[0.88183814,0.000251592,0.07767657,0.0005606429,0.01574165,4.817338e-7,0.00038612352,0.022718057,0.0005407116,0.000062387924,0.00008862909,0.00013501607],"about_ca_topic_score_codex":0.0005421105,"about_ca_topic_score_gemma":0.00022901122,"teacher_disagreement_score":0.44932532,"about_ca_system_score_codex":0.00008232972,"about_ca_system_score_gemma":0.000040847164,"threshold_uncertainty_score":0.34549794},"labels":[],"label_agreement":null},{"id":"W4392210732","doi":"10.2196/54178","title":"Comparison of the Real-World Reporting of Symptoms and Well-Being for the HER2-Directed Trastuzumab Biosimilar Ogivri With Registry Data for Herceptin in the Treatment of Breast Cancer: Prospective Observational Study (OGIPRO) of Electronic Patient-Reported Outcomes","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universität Zürich; Swiss Tumor Institute","keywords":"Biosimilar; Trastuzumab; Medicine; Observational study; Breast cancer; Clinical trial; Human Epidermal Growth Factor Receptor 2; Oncology; Internal medicine; Cancer","score_opus":0.1278437417289211,"score_gpt":0.4706072347069483,"score_spread":0.3427634929780272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392210732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878816,0.0014754013,0.000013682937,0.0022534917,0.00007602638,0.00779009,0.00038324398,0.00002008074,0.00010639083],"genre_scores_gemma":[0.9961058,0.00022459084,0.00008472549,0.000025197842,0.00006354106,0.003246841,0.000038249393,0.00003577786,0.00017526674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970685,0.000101425336,0.0013431036,0.0004619134,0.00071864686,0.00030636718],"domain_scores_gemma":[0.9966087,0.0006855884,0.0012924465,0.0009198085,0.0004636265,0.000029882423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000914986,0.00020465508,0.0007553838,0.00010019856,0.00008189005,0.00001529708,0.00030552488,0.000052972693,0.000026451651],"category_scores_gemma":[0.000161051,0.00009548671,0.00011613088,0.00083554536,0.00025610707,0.00006382635,0.000060792758,0.00020853936,2.0745407e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012916485,0.0009602349,0.97411674,0.00077301014,0.0009939881,0.000003041757,0.009747616,0.0001342779,0.00077448826,0.00005939657,0.00040796673,0.010737581],"study_design_scores_gemma":[0.0022338948,0.0019400071,0.98117286,0.0009469166,0.0005214148,0.0000077081095,0.0053477967,0.0032628973,0.0035198736,0.000038107584,0.0009118949,0.00009665307],"about_ca_topic_score_codex":0.008419657,"about_ca_topic_score_gemma":0.019657483,"teacher_disagreement_score":0.011237826,"about_ca_system_score_codex":0.0006745557,"about_ca_system_score_gemma":0.0014554899,"threshold_uncertainty_score":0.99823123},"labels":[],"label_agreement":null},{"id":"W4392368797","doi":"10.2196/51061","title":"A Smart Water Bottle and Companion App (HidrateSpark 3) to Improve Bladder-Filling Compliance in Patients With Prostate Cancer Receiving Radiotherapy: Nonrandomized Trial of Feasibility and Acceptability","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Compliance (psychology); Medicine; Prostate cancer; Radiation therapy; Bottle; Prostate; Cancer; Internal medicine; Psychology; Engineering","score_opus":0.021397012601907073,"score_gpt":0.317675618531553,"score_spread":0.29627860592964594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392368797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98736405,0.0046875244,0.000027429092,0.0013573269,0.00031184012,0.0060107964,0.0001766638,0.000038369166,0.00002598024],"genre_scores_gemma":[0.99540335,0.0014434246,0.00040137852,0.00014663865,0.00008765055,0.002386924,0.000023007822,0.00003552843,0.00007209737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983349,0.00007632472,0.00040826324,0.00062805775,0.00022892449,0.0003235579],"domain_scores_gemma":[0.99931884,0.000099304256,0.00007451109,0.00023367409,0.0001216687,0.00015199212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030279608,0.00024782223,0.0007011972,0.00008712893,0.000049230537,0.00005773005,0.000044036722,0.00006302679,0.0001698271],"category_scores_gemma":[0.000015827485,0.0001537336,0.000059051108,0.00019300725,0.00011104258,0.00015556856,0.00004130279,0.0001655162,9.280508e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.13381918,0.0007219757,0.7997854,0.0010225795,0.0002910542,0.0000062000804,0.0034513834,0.00003321645,0.0019666774,0.0000012203122,0.00020669543,0.058694463],"study_design_scores_gemma":[0.18799627,0.0024804503,0.79747766,0.0017170782,0.00017717892,0.0000014462272,0.00008966397,0.0010701676,0.006525545,0.0000337719,0.0020941638,0.00033660274],"about_ca_topic_score_codex":0.0010969325,"about_ca_topic_score_gemma":0.0006429689,"teacher_disagreement_score":0.05835786,"about_ca_system_score_codex":0.00053104165,"about_ca_system_score_gemma":0.00015022357,"threshold_uncertainty_score":0.6269074},"labels":[],"label_agreement":null},{"id":"W4393957106","doi":"10.2196/51332","title":"Differing Content and Language Based on Poster-Patient Relationships on the Chinese Social Media Platform Weibo: Text Classification, Sentiment Analysis, and Topic Modeling of Posts on Breast Cancer","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mental Health via Writing","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Social media; Computer science; Sentiment analysis; Content (measure theory); Natural language processing; Information retrieval; World Wide Web; Artificial intelligence; Mathematics","score_opus":0.07644993146804749,"score_gpt":0.37259303661925924,"score_spread":0.2961431051512118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393957106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931227,0.0006193208,0.00002542974,0.0044018435,0.000331634,0.00044746549,0.00022108787,0.00002872494,0.0008018115],"genre_scores_gemma":[0.99869955,0.000016008415,0.0000069872326,0.00062336127,0.00016816623,0.00034800486,0.000025464406,0.00001882819,0.00009363391],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988633,0.000089357105,0.00030575594,0.0003092917,0.0002467446,0.00018555143],"domain_scores_gemma":[0.99931383,0.00030858378,0.00010103869,0.00017760547,0.000035240188,0.00006372703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018062431,0.00014778932,0.00019281793,0.00017646946,0.00017331242,0.000032250035,0.000058378577,0.00007563727,0.00029626192],"category_scores_gemma":[0.000011535438,0.000100568235,0.00005801668,0.0002721451,0.00003941929,0.00004029741,0.00002276428,0.00026678486,0.0000062513786],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018628706,0.0007107364,0.62705815,0.00086577586,0.0011990805,0.000033945933,0.13948143,0.001604316,0.0036318477,0.010018045,0.0006938811,0.2128399],"study_design_scores_gemma":[0.00047190915,0.000084436026,0.93361175,0.00034248084,0.0001020655,0.0000020659324,0.003575846,0.061533634,0.00008364208,0.000034777593,0.000026156808,0.00013122687],"about_ca_topic_score_codex":0.0006518447,"about_ca_topic_score_gemma":0.0007455769,"teacher_disagreement_score":0.30655357,"about_ca_system_score_codex":0.00024313587,"about_ca_system_score_gemma":0.00003014974,"threshold_uncertainty_score":0.41010535},"labels":[],"label_agreement":null},{"id":"W4394573448","doi":"10.2196/54162","title":"Variation in Trust in Cancer Information Sources by Perceptions of Social Media Health Mis- and Disinformation and by Race and Ethnicity Among Adults in the United States: Cross-Sectional Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities","keywords":"Disinformation; Race (biology); Ethnic group; Variation (astronomy); Perception; Cross-sectional study; Social media; Political science; Psychology; Environmental health; Sociology; Medicine; Gender studies","score_opus":0.02152453384494791,"score_gpt":0.3797899564639104,"score_spread":0.3582654226189625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394573448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974338,0.00022197953,0.000027376083,0.0012678169,0.00006937329,0.00064546097,0.00020190557,0.000014630339,0.00011766629],"genre_scores_gemma":[0.998321,0.0011832386,0.000002689203,0.0002623755,0.000030171752,0.00006544688,0.00011202754,0.0000028328423,0.000020239637],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9988296,0.00016838577,0.00042804694,0.00008689426,0.00032957495,0.00015751839],"domain_scores_gemma":[0.99960715,0.00013117466,0.00012209755,0.000034759043,0.00005655805,0.00004823995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011273088,0.00007981276,0.000119359094,0.0002514375,0.00021184009,0.0002451105,0.000055247125,0.0000823508,0.00006826513],"category_scores_gemma":[0.000079383164,0.00006516183,0.000010064194,0.0006670471,0.00015952789,0.0018337879,0.000012712432,0.00018040818,5.5212894e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003267699,0.000030823165,0.26879513,0.00006796431,0.0000033980539,3.46271e-8,0.725748,0.00013104091,0.0000022315264,0.00009445983,0.00087710534,0.0042171148],"study_design_scores_gemma":[0.0006116528,0.000024914412,0.84217304,0.000048896127,0.0000018678221,1.2712104e-7,0.15072347,0.0051246784,5.0066086e-7,0.000023298504,0.0012085688,0.00005895869],"about_ca_topic_score_codex":0.06757393,"about_ca_topic_score_gemma":0.09618469,"teacher_disagreement_score":0.57502455,"about_ca_system_score_codex":0.00025640614,"about_ca_system_score_gemma":0.00015170337,"threshold_uncertainty_score":0.9386352},"labels":[],"label_agreement":null},{"id":"W4394605112","doi":"10.2196/53117","title":"Evaluation of the e–Mental Health Intervention Make It Training From Patients' Perspectives: Qualitative Analysis Within the Reduct Trial","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"Thematic analysis; Psychological intervention; Usability; Coping (psychology); Mental health; Distress; Psychology; Quality of life (healthcare); Randomized controlled trial; Intervention (counseling); Qualitative research; Applied psychology; Clinical psychology; Nursing; Medicine; Psychotherapist; Computer science; Human–computer interaction","score_opus":0.1000544199210576,"score_gpt":0.47431068048439146,"score_spread":0.37425626056333383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394605112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822636,0.004900934,0.000058917525,0.008650637,0.0017336594,0.001413689,0.00035101452,0.000019693362,0.0006078519],"genre_scores_gemma":[0.99854463,0.000035482386,0.000009147142,0.00023944047,0.00034037294,0.0004054405,0.00008898897,0.000012297996,0.0003242072],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9975623,0.0008120229,0.0003445159,0.00025450275,0.0009205365,0.00010612324],"domain_scores_gemma":[0.9991834,0.00007997647,0.00019797661,0.00022534937,0.000278129,0.000035174966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018919646,0.0001000044,0.0002423843,0.000090189045,0.00008324939,0.000025652955,0.000082768376,0.000037453134,0.0007204088],"category_scores_gemma":[0.00009837087,0.00005688069,0.0003887168,0.0007116013,0.000090691006,0.000051854495,0.00002315922,0.00018868309,0.0000017799011],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023810186,0.00013839902,0.00039152583,0.00005689071,0.0018923283,1.3724328e-7,0.9278734,0.000059519054,0.000046321722,0.00030660053,0.0020043862,0.06484948],"study_design_scores_gemma":[0.0148241455,0.00071443565,0.01912723,0.0011392793,0.0033979537,4.1128646e-7,0.9529436,0.0040683155,0.0002073931,0.0009994784,0.002421289,0.00015646296],"about_ca_topic_score_codex":0.007462797,"about_ca_topic_score_gemma":0.021255663,"teacher_disagreement_score":0.06469302,"about_ca_system_score_codex":0.0008919723,"about_ca_system_score_gemma":0.00059154595,"threshold_uncertainty_score":0.9991466},"labels":[],"label_agreement":null},{"id":"W4394864646","doi":"10.2196/51072","title":"Applying the Unified Theory of Acceptance and Use of Technology to Identify Factors Associated With Intention to Use Teledelivered Supportive Care Among Recently Diagnosed Breast Cancer Survivors During COVID-19 in Hong Kong: Cross-Sectional Survey","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Moderation; Psychosocial; Expectancy theory; Telehealth; Breast cancer; Medicine; Anxiety; Unified theory of acceptance and use of technology; Social support; Clinical psychology; Multilevel model; Psychology; Family medicine; Cancer; Health care; Telemedicine; Psychiatry; Social psychology; Internal medicine","score_opus":0.0769638916828685,"score_gpt":0.4166886030231333,"score_spread":0.33972471134026483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394864646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99533534,0.0001698904,0.000119198216,0.0002808665,0.00021953919,0.0027324813,0.0010767143,0.00006421751,0.0000017456737],"genre_scores_gemma":[0.99804765,0.00013477565,0.000013982834,0.00018246297,0.000024742954,0.0013301101,0.00016183192,0.000032542193,0.00007191213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998194,0.00016570912,0.0005595208,0.00040954165,0.00036220165,0.00030906693],"domain_scores_gemma":[0.99830234,0.0005740522,0.00025101294,0.00019082824,0.0005166578,0.00016511572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048200227,0.00018658243,0.00035837956,0.0005289002,0.00010608263,0.000046652138,0.00009437037,0.00012260172,0.00016775249],"category_scores_gemma":[0.0007188058,0.0001362948,0.00004289649,0.0014861025,0.00017747597,0.00029475873,0.00006806607,0.00027011544,3.2384636e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009215137,0.000040519,0.98939985,0.00041613338,0.00015660873,0.000017689297,0.004014423,0.00014470734,0.0019997607,0.00001875612,0.000055999233,0.0028140557],"study_design_scores_gemma":[0.0012980957,0.00013789789,0.9904351,0.00061037886,0.000046323552,0.0000035537553,0.005876432,0.00001801301,0.0013685995,0.000007596755,0.000069791575,0.00012819188],"about_ca_topic_score_codex":0.03779665,"about_ca_topic_score_gemma":0.18319026,"teacher_disagreement_score":0.14539361,"about_ca_system_score_codex":0.00087582093,"about_ca_system_score_gemma":0.00042140041,"threshold_uncertainty_score":0.96861076},"labels":[],"label_agreement":null},{"id":"W4395072384","doi":"10.2196/55438","title":"Assessing the Relationship Between Neighborhood Socioeconomic Disadvantage and Telemedicine Use Among Patients With Breast Cancer and Examining Differential Provisions of Oncology Services Between Telehealth and In-Person Visits: Quantitative Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Institute on Aging; National Institutes of Health; Breast Cancer Research Foundation; U.S. Department of Defense","keywords":"Telehealth; Telemedicine; Breast cancer; Socioeconomic status; Disadvantage; Medicine; Family medicine; Differential (mechanical device); Cancer; Health care; Internal medicine; Environmental health; Population; Computer science","score_opus":0.07174662632584627,"score_gpt":0.4328782006090519,"score_spread":0.36113157428320564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395072384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952772,0.0006132233,0.00004123215,0.0018089744,0.00007017576,0.0019489949,0.00020593735,0.00002565932,0.000008591919],"genre_scores_gemma":[0.9991811,0.00010842655,0.00005651038,0.00012891137,0.00017582627,0.00022251575,0.000086727036,0.000030540457,0.000009434309],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985189,0.00012229859,0.0004830447,0.00039312203,0.00021919132,0.0002634312],"domain_scores_gemma":[0.99805987,0.0013619858,0.00025631025,0.00011970644,0.00007090812,0.00013122438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030777793,0.00019804649,0.0005088983,0.0002248634,0.00017624762,0.000059059137,0.000043736694,0.00007780573,0.000026159316],"category_scores_gemma":[0.000025716165,0.00012409214,0.000013643961,0.0002151966,0.0001769761,0.00058051734,0.000044931563,0.0004057313,1.9826093e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011156403,0.00007044337,0.91889906,0.0006652641,0.00012490166,0.0000042435754,0.01240709,4.882034e-7,0.000013098324,0.000017384105,0.000011954271,0.06767448],"study_design_scores_gemma":[0.0039459676,0.0013974638,0.9719168,0.0009304294,0.00040717705,0.0000029361204,0.021103606,0.0001315497,0.0000023680775,0.000015141658,0.000032690743,0.00011385174],"about_ca_topic_score_codex":0.0033930237,"about_ca_topic_score_gemma":0.003046764,"teacher_disagreement_score":0.06756063,"about_ca_system_score_codex":0.00019268153,"about_ca_system_score_gemma":0.00022744182,"threshold_uncertainty_score":0.512926},"labels":[],"label_agreement":null},{"id":"W4395093826","doi":"10.2196/56168","title":"An Introduction to the OutSMART Cancer Serious Game: Current and Future Directions","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Educational Games and Gamification","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Current (fluid); Cancer; Medicine; Engineering; Internal medicine; Electrical engineering","score_opus":0.016985856257881495,"score_gpt":0.39334098586037786,"score_spread":0.37635512960249634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395093826","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41744033,0.09224479,0.00015180501,0.44687128,0.041309122,0.0009363426,0.00015367912,0.00022261037,0.0006700371],"genre_scores_gemma":[0.91657406,0.0072862054,0.000042401472,0.0013053179,0.054278485,0.0061410363,0.000059845464,0.00004819789,0.014264446],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992849,0.00004433805,0.00010538223,0.0003389121,0.00009105383,0.00013540639],"domain_scores_gemma":[0.99958014,0.000013311704,0.000023121373,0.0002557655,0.00006012586,0.000067529974],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008436583,0.00008885121,0.00006520138,0.00006201676,0.00007135979,0.000080692625,0.00007614205,0.000043960525,0.0015938822],"category_scores_gemma":[0.0000022609618,0.00006329184,0.000026757638,0.00029319676,0.000028647793,0.00008394191,0.000009717838,0.00016888086,0.000101502716],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014913289,0.00004546223,0.000977836,0.000016390486,0.000026359441,1.930546e-7,0.013051994,0.000024853867,0.00013181973,0.0057251975,0.20859481,0.77139014],"study_design_scores_gemma":[0.00003807486,0.000022193683,0.18041939,0.000012480387,0.000019477897,0.0000046912187,0.0007320808,0.00004218915,0.0000094942325,0.000069924914,0.8185586,0.00007143058],"about_ca_topic_score_codex":0.00034597775,"about_ca_topic_score_gemma":0.0008258537,"teacher_disagreement_score":0.77131873,"about_ca_system_score_codex":0.00010497777,"about_ca_system_score_gemma":0.00005123672,"threshold_uncertainty_score":0.9993188},"labels":[],"label_agreement":null},{"id":"W4396510515","doi":"10.2196/49002","title":"Implementation of Health IT for Cancer Screening in US Primary Care: Scoping Review","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"CINAHL; Psychological intervention; Medicine; Checklist; MEDLINE; Guideline; Data extraction; Clinical decision support system; Health care; Systematic review; Family medicine; Decision support system; Nursing; Computer science; Psychology; Data mining; Pathology","score_opus":0.15619761470142807,"score_gpt":0.6105383629007408,"score_spread":0.45434074819931275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396510515","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013888961,0.9400946,0.0011553532,0.022714248,0.0022193915,0.018791338,0.00028084652,0.00011356518,0.0007416769],"genre_scores_gemma":[0.18984725,0.5932179,0.0021998994,0.067383274,0.0034506046,0.14039092,0.0005064292,0.00036557455,0.0026381311],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99667674,0.00048744676,0.0014424563,0.0003602339,0.00024610234,0.0007870382],"domain_scores_gemma":[0.9987757,0.00032375348,0.00044471186,0.00020568854,0.00015783779,0.00009231465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017323641,0.00014998429,0.0006335551,0.00014466877,0.00020784904,0.000005566424,0.00011525793,0.00009856907,0.0005068521],"category_scores_gemma":[0.000018761764,0.00014006098,0.00008013647,0.00046711543,0.000014513344,0.00013700021,0.000039196406,0.00041444716,0.000009027846],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023986126,0.0000080956315,0.05175098,0.47590113,0.000030347752,7.430243e-7,0.0057919254,0.0000112635835,0.000048062368,0.00016941702,0.036155164,0.43010888],"study_design_scores_gemma":[0.001285039,0.00017662236,0.02009476,0.6692339,0.000030336068,6.7136574e-7,0.0025317757,0.00009470863,0.000037965554,0.000021438915,0.3062432,0.00024954975],"about_ca_topic_score_codex":0.039649677,"about_ca_topic_score_gemma":0.12269722,"teacher_disagreement_score":0.42985934,"about_ca_system_score_codex":0.0026246454,"about_ca_system_score_gemma":0.011604687,"threshold_uncertainty_score":0.9939986},"labels":[],"label_agreement":null},{"id":"W4396692870","doi":"10.2196/52061","title":"Pediatric Cancer Communication on Twitter: Natural Language Processing and Qualitative Content Analysis","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Sentiment analysis; Social media; Lexicon; Content analysis; Computer science; Psychology; Medicine; Artificial intelligence; World Wide Web","score_opus":0.2114973865631683,"score_gpt":0.5508799106974672,"score_spread":0.3393825241342989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396692870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9149378,0.069486454,0.000006705909,0.013073598,0.0013046184,0.0006246724,0.000014371722,0.00009367903,0.00045810634],"genre_scores_gemma":[0.99217665,0.0034805683,0.00006843557,0.0005578061,0.001058574,0.0022346224,0.000010514204,0.000010380737,0.00040245245],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9988129,0.00032587888,0.00016373323,0.00020570458,0.00029400937,0.00019778828],"domain_scores_gemma":[0.99878514,0.0008219891,0.0000884276,0.000103353144,0.000118458,0.0000826446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051088806,0.00007989011,0.00014013209,0.00018844636,0.00032786885,0.00012151558,0.00011083888,0.0000666398,0.00014135445],"category_scores_gemma":[0.00021630408,0.00007217239,0.0000457841,0.0012106572,0.00012863358,0.00018691183,0.000015448677,0.00021037702,0.000008135624],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010973898,0.00001952432,0.02575377,0.00014154469,0.00006255524,6.604426e-7,0.863615,0.0000039998326,0.0000151632275,0.0005747812,0.0013878212,0.108414225],"study_design_scores_gemma":[0.00042908665,0.000058272657,0.4416206,0.00053441356,0.0009317876,2.0546395e-7,0.49821654,0.0016845805,0.000058192716,0.00046756808,0.055369675,0.0006291155],"about_ca_topic_score_codex":0.036390845,"about_ca_topic_score_gemma":0.015484081,"teacher_disagreement_score":0.4158668,"about_ca_system_score_codex":0.0005929707,"about_ca_system_score_gemma":0.0005081197,"threshold_uncertainty_score":0.9700259},"labels":[],"label_agreement":null},{"id":"W4396714687","doi":"10.2196/52156","title":"Evaluating the Quality of Cancer-Related WeChat Public Accounts: Cross-Sectional Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Quality (philosophy); Cross-sectional study; Computer science; World Wide Web; Statistics; Mathematics","score_opus":0.2899421630533092,"score_gpt":0.5005893594074159,"score_spread":0.21064719635410667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396714687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97932583,0.012541344,0.000013448611,0.0012617849,0.003428469,0.00083186536,0.00035481356,0.000075883334,0.0021665327],"genre_scores_gemma":[0.99565697,0.00023876643,0.000006079097,0.00009861685,0.00040484575,0.0008146599,0.0000050046256,0.000025300535,0.002749784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979073,0.000058299902,0.0011815331,0.00041840633,0.00015392694,0.00028056136],"domain_scores_gemma":[0.99904037,0.00005083913,0.0003934262,0.00032314882,0.00013370995,0.000058487054],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003081264,0.00013252847,0.0003329215,0.00014066116,0.00019584136,0.0002018961,0.00024351022,0.00013489378,0.0012363812],"category_scores_gemma":[0.00006276742,0.00008816561,0.00014703725,0.0005329092,0.00005696447,0.00029298212,0.00006001336,0.00029392456,0.00012474027],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010784045,0.00008661565,0.9715842,0.00026665465,0.0002312044,6.5521255e-7,0.001971775,0.00011124655,0.000015259417,0.012767174,0.00012578572,0.012828645],"study_design_scores_gemma":[0.0003611259,0.00009566697,0.97786295,0.000044182114,0.0000023857895,8.2488515e-7,0.00025402525,0.0018415066,0.000004393994,0.00194399,0.017448792,0.00014016763],"about_ca_topic_score_codex":0.037389245,"about_ca_topic_score_gemma":0.0025162394,"teacher_disagreement_score":0.034873005,"about_ca_system_score_codex":0.00055641815,"about_ca_system_score_gemma":0.00027051268,"threshold_uncertainty_score":0.99967664},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W4396755639","doi":"10.2196/43070","title":"Artificial Intelligence–Based Co-Facilitator (AICF) for Detecting and Monitoring Group Cohesion Outcomes in Web-Based Cancer Support Groups: Single-Arm Trial Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mental Health via Writing","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Centre for Addiction and Mental Health; BC Cancer Agency; University of Toronto; University Health Network","funders":"","keywords":"Facilitator; Group cohesiveness; Cohesion (chemistry); Psychology; Group (periodic table); Artificial intelligence; Computer science; Social psychology","score_opus":0.15526857877791936,"score_gpt":0.4763873390321328,"score_spread":0.3211187602542135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396755639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98752356,0.0007611005,0.0004255576,0.0003644915,0.0055392575,0.004889791,0.00018445466,0.00022377369,0.0000880424],"genre_scores_gemma":[0.9881256,0.000005792242,0.0002402548,0.00018979801,0.0010600775,0.010187772,0.0000128958645,0.00008209071,0.00009568986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99671775,0.0002458012,0.0010026876,0.0008965526,0.00038152453,0.000755658],"domain_scores_gemma":[0.99816126,0.0011570693,0.00016663857,0.0002821483,0.000052910633,0.00017996808],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012127339,0.00035308013,0.0005477267,0.00038057158,0.00022104199,0.00012461033,0.00017452285,0.00019656634,0.0006808136],"category_scores_gemma":[0.00008919404,0.0003427684,0.00013288014,0.00041030714,0.000076773526,0.00015819701,0.00003639456,0.00043591188,0.000026685997],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.024588218,0.0035913363,0.48653403,0.0016030748,0.00017437362,0.00016827259,0.013347078,0.00014020484,0.005476985,0.00013492166,0.00031801843,0.46392348],"study_design_scores_gemma":[0.2004807,0.08301271,0.2592758,0.012178422,0.0014465433,0.000029138548,0.23153883,0.07618608,0.09985057,0.0025876162,0.022971706,0.010441876],"about_ca_topic_score_codex":0.0012854636,"about_ca_topic_score_gemma":0.0028068717,"teacher_disagreement_score":0.4534816,"about_ca_system_score_codex":0.00086817145,"about_ca_system_score_gemma":0.00026691452,"threshold_uncertainty_score":0.9999024},"labels":[],"label_agreement":null},{"id":"W4396947635","doi":"10.2196/51444","title":"Exploring ChatGPT's potential in the context of colon cancer patient education: proof-of-concept study (Preprint)","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Context (archaeology); Medicine; Colorectal cancer; Proof of concept; Psychology; Cancer; Computer science; Internal medicine; World Wide Web; Geography","score_opus":0.2508913470141433,"score_gpt":0.4561434583771229,"score_spread":0.2052521113629796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396947635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924313,0.00056817353,0.000004011798,0.003151237,0.0013676835,0.0023381654,0.000005956489,0.000016096816,0.000117368865],"genre_scores_gemma":[0.99388593,0.00016123176,0.000006083937,0.00030475477,0.0003747383,0.005140419,0.0000064604774,0.000010926455,0.000109474415],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.998847,0.00007376937,0.0004349623,0.00019600593,0.00027847535,0.00016980497],"domain_scores_gemma":[0.99922234,0.00006343096,0.00015679288,0.00026449573,0.0002505098,0.000042458578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021362527,0.00008390196,0.00019891535,0.00012357112,0.000046820696,0.000006024139,0.00010050153,0.00003775647,0.00019703443],"category_scores_gemma":[0.00004410127,0.000063636,0.00004841871,0.00055696565,0.000057355515,0.000092047,0.000026352083,0.00014866193,0.00000721745],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015921745,0.00077000586,0.079237156,0.00014784028,0.000022953736,0.0000029513508,0.1485019,0.00034026752,0.00038560783,0.000037350557,0.0012806226,0.76911414],"study_design_scores_gemma":[0.00025917357,0.0015023658,0.24585749,0.0010488837,0.00007681386,0.000003336321,0.5719783,0.00042715028,0.1721026,0.0001833878,0.006347762,0.00021275581],"about_ca_topic_score_codex":0.014892239,"about_ca_topic_score_gemma":0.0022028864,"teacher_disagreement_score":0.76890135,"about_ca_system_score_codex":0.00015969134,"about_ca_system_score_gemma":0.0007312715,"threshold_uncertainty_score":0.9916677},"labels":[],"label_agreement":null},{"id":"W4398142733","doi":"10.2196/52577","title":"“Notification! You May Have Cancer.” Could Smartphones and Wearables Help Detect Cancer Early?","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council; Cancer Research UK; Barts Charity","keywords":"Wearable computer; Context (archaeology); Wearable technology; Health care; Computer science; Risk analysis (engineering); Unintended consequences; Internet privacy; Data science; Psychology; Medicine; Political science","score_opus":0.06268529280993251,"score_gpt":0.4735881040820005,"score_spread":0.410902811272068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398142733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5994577,0.24918891,0.0005532801,0.10828544,0.013482816,0.016705556,0.0031097727,0.0015237546,0.007692817],"genre_scores_gemma":[0.68187356,0.0831346,0.0002006518,0.006089664,0.0030750202,0.17625423,0.00004939513,0.00014943321,0.049173478],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99688476,0.00019893303,0.0007610304,0.0008038376,0.0003363307,0.0010150934],"domain_scores_gemma":[0.99805945,0.0003611909,0.00022636146,0.0005164157,0.00025191126,0.00058464205],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00046783997,0.00031119087,0.00041128576,0.00019484184,0.0011893186,0.000055010598,0.00021470466,0.0003770188,0.003557433],"category_scores_gemma":[0.000032107953,0.00027295496,0.00007424479,0.0005092636,0.0001477486,0.00019484533,0.000082303326,0.0009828217,0.00039055332],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001942363,0.000059233284,0.15790032,0.0058642295,0.000104188955,0.0000064844744,0.0045338664,0.00005319699,0.0013231165,0.0036867885,0.35174468,0.47452968],"study_design_scores_gemma":[0.0004861784,0.00003432697,0.098079406,0.0011067494,0.00005368126,0.0000013465836,0.0004467489,0.0005625492,0.00016016122,0.00042839977,0.898372,0.0002684384],"about_ca_topic_score_codex":0.02940656,"about_ca_topic_score_gemma":0.024783444,"teacher_disagreement_score":0.54662734,"about_ca_system_score_codex":0.00072377577,"about_ca_system_score_gemma":0.0025462199,"threshold_uncertainty_score":0.9999723},"labels":[],"label_agreement":null},{"id":"W4398789427","doi":"10.2196/50402","title":"Patterns of Prescription Medication Use Before Diagnosis of Early Age-Onset Colorectal Cancer: Population-Based Descriptive Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Kingston General Hospital; British Columbia Centre on Substance Use; University of Toronto; Centre for Advancing Health Outcomes; Queen's University; University of British Columbia","funders":"","keywords":"Preprint; Medicine; Medical prescription; Colorectal cancer; Cancer; Demography; Internal medicine; Pharmacology; World Wide Web","score_opus":0.03221248463002355,"score_gpt":0.3265106962899984,"score_spread":0.29429821165997483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398789427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962507,0.000659566,0.00021462588,0.00023857411,0.00074161304,0.0014202476,0.00033553998,0.00012425787,0.000014898309],"genre_scores_gemma":[0.99687666,0.00008013262,0.00005215203,0.000046844,0.00021390867,0.0024585968,0.00009163034,0.000034283858,0.00014577352],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847627,0.00008005935,0.00041415571,0.00035119764,0.00050519523,0.00017311993],"domain_scores_gemma":[0.9992183,0.00009662455,0.00017899122,0.00020134625,0.00021377049,0.000090966176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015276807,0.000169904,0.00035194523,0.00027998877,0.00004821909,0.000029450852,0.00007165177,0.00011317663,0.00019733373],"category_scores_gemma":[0.000061488536,0.00015042225,0.00013694986,0.0004586359,0.0000414399,0.00020887432,0.000022664966,0.00020458743,0.0000014781452],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020449567,0.00024720453,0.9683579,0.0003522733,0.00018476293,0.000012620854,0.003963545,0.00012334979,0.00075666106,0.000005936121,0.0004428967,0.02350789],"study_design_scores_gemma":[0.0009188483,0.0034859332,0.9859048,0.0010423531,0.00031335882,0.0000024374472,0.00035549255,0.0016776901,0.0059164725,0.000014715308,0.0002497383,0.00011814921],"about_ca_topic_score_codex":0.069229715,"about_ca_topic_score_gemma":0.023067174,"teacher_disagreement_score":0.04616254,"about_ca_system_score_codex":0.0005544683,"about_ca_system_score_gemma":0.00029548162,"threshold_uncertainty_score":0.9947593},"labels":[],"label_agreement":null},{"id":"W4399214941","doi":"10.2196/52386","title":"Engagement With a Relaxation and Mindfulness Mobile App Among People With Cancer: Exploratory Analysis of Use Data and Self-Reports From a Randomized Controlled Trial","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Swiss Cancer Research Foundation; Universitätsspital Zürich; Universität Zürich","keywords":"mHealth; Health coaching; Coaching; Mindfulness; Randomized controlled trial; Psychology; Applied psychology; Computer science; Smartphone app; Relaxation (psychology); Clinical psychology; Medicine; World Wide Web; Psychological intervention; Social psychology; Psychotherapist; Psychiatry","score_opus":0.016221522338158344,"score_gpt":0.2898365509697165,"score_spread":0.2736150286315582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399214941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98678774,0.006964302,0.0005441268,0.00009368646,0.0002722972,0.004965972,0.00026144707,0.00007555236,0.0000348748],"genre_scores_gemma":[0.9844408,0.0005099036,0.00005080434,0.000049092378,0.00018304611,0.014311424,0.00022855737,0.000030686668,0.00019570024],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9981522,0.00020147262,0.00046427708,0.00059543294,0.00043358505,0.00015304622],"domain_scores_gemma":[0.998401,0.00048355694,0.00031527542,0.0005366928,0.00014846792,0.00011501639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067289727,0.00021727635,0.00157667,0.0002502646,0.00005352363,0.00008477305,0.000056192053,0.00007600824,0.00024382176],"category_scores_gemma":[0.000043645272,0.00013364543,0.00011712452,0.00067025435,0.00011691665,0.000314353,0.00006162399,0.00017129982,1.4571643e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.8983028,0.00019039033,0.062365476,0.00037993226,0.016666422,0.00011749022,0.016525203,0.00017574657,0.000040726132,0.000009251571,0.00051508803,0.0047114636],"study_design_scores_gemma":[0.92845714,0.00047674836,0.012603198,0.001101167,0.034304477,0.0000058788028,0.0032959527,0.015730252,0.0002804651,0.000010670422,0.003344554,0.00038947756],"about_ca_topic_score_codex":0.015509588,"about_ca_topic_score_gemma":0.076405264,"teacher_disagreement_score":0.060895678,"about_ca_system_score_codex":0.0001053227,"about_ca_system_score_gemma":0.00046719404,"threshold_uncertainty_score":0.9910462},"labels":[],"label_agreement":null},{"id":"W4399444147","doi":"10.2196/54785","title":"A Theory and Evidence-Informed e-Cycling Intervention for Individuals Diagnosed With Cancer: Development Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Cancer Research UK","keywords":"Cycling; Intervention (counseling); Cancer; Psychology; Medicine; History; Psychiatry; Internal medicine","score_opus":0.04318468772336497,"score_gpt":0.3984148111379733,"score_spread":0.3552301234146083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399444147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96927893,0.026683088,0.00042780174,0.00047097763,0.00060154987,0.0023010303,0.000024587993,0.00011405613,0.00009798598],"genre_scores_gemma":[0.98846215,0.000786232,0.00010573669,0.0002944841,0.00028329683,0.008269561,0.000010982843,0.000034456607,0.0017530745],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99885553,0.000039641196,0.00026003533,0.00033877083,0.00027655895,0.00022945159],"domain_scores_gemma":[0.9992536,0.0003524757,0.0000614419,0.00014139229,0.00009040816,0.00010071728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005107524,0.00017110416,0.00026045696,0.00012979514,0.000084068335,0.00008898365,0.00006303472,0.000055029017,0.00024215053],"category_scores_gemma":[0.000054143544,0.00012277064,0.000068630776,0.00022327779,0.000040558254,0.00018687836,0.00004011898,0.00014010744,0.0000034004088],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018392821,0.00020067276,0.32900345,0.0038324646,0.00091220817,0.000045811237,0.06447102,0.0000065510467,0.00009197861,0.00017233985,0.0018900124,0.59753424],"study_design_scores_gemma":[0.011334527,0.0035869286,0.6408924,0.042390566,0.0016545219,0.000033312,0.04339828,0.00014532097,0.00336042,0.00034993867,0.25172746,0.0011263476],"about_ca_topic_score_codex":0.0008183978,"about_ca_topic_score_gemma":0.018237818,"teacher_disagreement_score":0.5964079,"about_ca_system_score_codex":0.00034736915,"about_ca_system_score_gemma":0.00060333905,"threshold_uncertainty_score":0.99967676},"labels":[],"label_agreement":null},{"id":"W4399492741","doi":"10.2196/52985","title":"Using a Mobile Messenger Service as a Digital Diary to Capture Patients’ Experiences Along Their Interorganizational Treatment Path in Gynecologic Oncology: Lessons Learned","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gynecologic oncology; Path (computing); Service (business); Mobile service; Oncology; Computer science; Medicine; Computer network; Business; Marketing","score_opus":0.10291123722756253,"score_gpt":0.4908267527870466,"score_spread":0.3879155155594841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399492741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815289,0.0011773127,0.00007519573,0.008993611,0.00097649905,0.005690119,0.00032906362,0.00017319873,0.0010561282],"genre_scores_gemma":[0.92161435,0.00035669835,0.000103287006,0.0061910087,0.00027171476,0.070713244,0.00015155309,0.000044336248,0.0005537889],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99768114,0.000253087,0.0005992312,0.0005985805,0.00018345332,0.0006844962],"domain_scores_gemma":[0.9983967,0.0006265849,0.00013437108,0.00026113915,0.00020527946,0.00037595473],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022284599,0.0002490328,0.00035330837,0.00019070935,0.0004500885,0.000034950484,0.00018487245,0.00029295066,0.0015190593],"category_scores_gemma":[0.00008347206,0.00018720428,0.000051829615,0.00095053547,0.000039137718,0.00021996612,0.00012784089,0.00044644743,0.00034270957],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041690003,0.0020768503,0.25554633,0.0015747189,0.000110816916,0.000060646646,0.40408173,0.000960845,0.00043668784,0.0021270702,0.018967234,0.31364018],"study_design_scores_gemma":[0.0014061569,0.0005670884,0.039671816,0.0007210693,0.000024024468,0.000003552845,0.05615333,0.00176873,0.000036311016,0.00039521867,0.8988322,0.00042052238],"about_ca_topic_score_codex":0.002130928,"about_ca_topic_score_gemma":0.00541977,"teacher_disagreement_score":0.87986493,"about_ca_system_score_codex":0.0023456772,"about_ca_system_score_gemma":0.0033143377,"threshold_uncertainty_score":0.9993937},"labels":[],"label_agreement":null},{"id":"W4399580267","doi":"10.2196/53354","title":"Real-World Survival Comparisons Between Radiotherapy and Surgery for Metachronous Second Primary Lung Cancer and Predictions of Lung Cancer–Specific Outcomes Using Machine Learning: Population-Based Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lung cancer; Medicine; Radiation therapy; Cancer; Lung; Population; Oncology; Surgery; Medical physics; Internal medicine; Environmental health","score_opus":0.0480049862572874,"score_gpt":0.3887986995908492,"score_spread":0.3407937133335618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399580267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9309622,0.06343437,0.00026782296,0.0012247767,0.00063120015,0.0024060362,0.00094350945,0.00010482836,0.000025248179],"genre_scores_gemma":[0.99206805,0.0044115284,0.00029519398,0.0000791018,0.0005224149,0.001897174,0.00018409101,0.00008631357,0.00045612652],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982231,0.00008015367,0.0005289904,0.000560265,0.00030041806,0.00030705988],"domain_scores_gemma":[0.9985994,0.0007227529,0.00019753321,0.00022698301,0.000095295414,0.00015803434],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024235368,0.00031806008,0.0010718777,0.00032716995,0.00021269004,0.000064069216,0.00004837273,0.00007368152,0.00028978472],"category_scores_gemma":[0.0000058162314,0.00026048988,0.0001874304,0.0003528614,0.00006054334,0.00012375168,0.000022367723,0.00022445469,7.3570526e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001826543,0.00024723695,0.9885509,0.0015860926,0.0024872504,0.0000064736314,0.0004520521,0.0011962334,0.000072980256,0.000013601098,0.0021109425,0.0030935768],"study_design_scores_gemma":[0.002368548,0.00014604809,0.9656997,0.00067499507,0.0016836603,8.670762e-7,0.000045836176,0.024074793,0.0000645216,0.0000017099593,0.0050111846,0.00022813465],"about_ca_topic_score_codex":0.021639546,"about_ca_topic_score_gemma":0.016668165,"teacher_disagreement_score":0.061105847,"about_ca_system_score_codex":0.0018419098,"about_ca_system_score_gemma":0.00059153565,"threshold_uncertainty_score":0.99998474},"labels":[],"label_agreement":null},{"id":"W4399871970","doi":"10.2196/51210","title":"Heart Rate Monitoring Among Breast Cancer Survivors: Quantitative Study of Device Agreement in a Community-Based Exercise Program","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Medicine; Physical therapy; Heart rate; Aerobic exercise; Exercise prescription; Breast cancer; Heart rate monitor; Randomized controlled trial; Physical medicine and rehabilitation; Cancer; Blood pressure; Internal medicine","score_opus":0.05324788417466215,"score_gpt":0.4002658545504432,"score_spread":0.3470179703757811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399871970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99181354,0.0038699554,0.000004208733,0.0005013039,0.0008923565,0.0025421525,0.00009889998,0.00013034279,0.00014726513],"genre_scores_gemma":[0.99402374,0.00017331906,0.000041190902,0.00009420997,0.00015509163,0.0052510323,0.000014382677,0.000050431972,0.00019657721],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981187,0.00032704038,0.000427225,0.00034086785,0.00043323875,0.00035293621],"domain_scores_gemma":[0.99894035,0.00014990437,0.000085682645,0.00043707498,0.00025408916,0.00013291859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005784123,0.00025982744,0.0005457094,0.0002847886,0.00008300302,0.000052687912,0.0001526539,0.00008517192,0.00016743524],"category_scores_gemma":[0.0000076139872,0.0002299272,0.00012179967,0.0011341816,0.00009544448,0.00014767073,0.00006578095,0.00063273,0.000006938413],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000889475,0.0017859229,0.9402765,0.0024533034,0.00017299286,0.000055118486,0.029082445,0.00042596532,0.00072747027,0.0000050768035,0.0002044527,0.02392128],"study_design_scores_gemma":[0.0018099986,0.000874579,0.9574768,0.0073261107,0.00020207143,0.000001616266,0.027605828,0.0007800939,0.0012132161,0.0000053296753,0.0024239693,0.0002803893],"about_ca_topic_score_codex":0.2515622,"about_ca_topic_score_gemma":0.3212166,"teacher_disagreement_score":0.0696544,"about_ca_system_score_codex":0.0004807287,"about_ca_system_score_gemma":0.00038430386,"threshold_uncertainty_score":0.93761593},"labels":[],"label_agreement":null},{"id":"W4399972812","doi":"10.2196/48225","title":"Correlation Between Electronic Patient-Reported Outcomes and Biological Markers of Key Parameters in Acute Radiation Cystitis Among Patients With Prostate Cancer (RABBIO): Prospective Observational Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Polyomavirus and related diseases","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Observational study; Medicine; Prostate cancer; Preprint; Prospective cohort study; Oncology; Cancer; Internal medicine","score_opus":0.017517896819163582,"score_gpt":0.3021505691911308,"score_spread":0.2846326723719672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399972812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958972,0.0011438016,0.0000056491353,0.00012375637,0.00011095251,0.002456577,0.00019502944,0.000042644355,0.000024386742],"genre_scores_gemma":[0.99856687,0.00027233898,0.000015463185,0.000036053578,0.00001646666,0.00080988073,0.00018572682,0.00001772851,0.000079494945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879384,0.000043129734,0.0003477404,0.00032624384,0.00027203586,0.0002170186],"domain_scores_gemma":[0.9995112,0.000064469095,0.0001625171,0.000091025446,0.00009562103,0.0000752043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000634328,0.00015966147,0.00029427902,0.00014090113,0.00003704145,0.000016705262,0.00002296972,0.000088710185,0.000025721232],"category_scores_gemma":[0.000025370391,0.00010485288,0.00004478579,0.00036656982,0.00009574817,0.000167195,0.000016678574,0.00020002435,6.616632e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001115264,0.00022692201,0.98953235,0.000037123762,0.0008662349,0.000024330478,0.0007407942,0.000163145,0.00001273521,0.000009491047,0.0000586926,0.0072129234],"study_design_scores_gemma":[0.0027572035,0.0011846186,0.9947386,0.0002396517,0.00034818408,8.715402e-7,0.00009128023,0.00039810114,0.000031455325,0.000041527237,0.000037066715,0.00013148879],"about_ca_topic_score_codex":0.0010563952,"about_ca_topic_score_gemma":0.00022770496,"teacher_disagreement_score":0.0070814346,"about_ca_system_score_codex":0.0003586246,"about_ca_system_score_gemma":0.00024603293,"threshold_uncertainty_score":0.42757764},"labels":[],"label_agreement":null},{"id":"W4400110890","doi":"10.2196/52639","title":"Artificial Intelligence for Optimizing Cancer Imaging: User Experience Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Artificial intelligence; Computer science; Machine learning; User experience design; Human–computer interaction; World Wide Web","score_opus":0.275358555671222,"score_gpt":0.546426657391129,"score_spread":0.2710681017199069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400110890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9557766,0.006814558,0.015110696,0.012362114,0.005840735,0.0034479538,0.000028417406,0.0003170619,0.00030187098],"genre_scores_gemma":[0.98939955,0.00028541908,0.0006305729,0.0008195228,0.0020666167,0.0056154355,0.0000066914336,0.000045191853,0.0011310228],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99833035,0.000022392253,0.00048386617,0.00051894755,0.00024887014,0.00039554195],"domain_scores_gemma":[0.999148,0.00013998512,0.000051679388,0.00026265628,0.00024216925,0.00015552728],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021549551,0.00017594639,0.00022329325,0.00014826978,0.00017043084,0.000121403726,0.00012028766,0.00006295006,0.0009237963],"category_scores_gemma":[0.00006540072,0.00015340646,0.000102253674,0.0004271311,0.00008341775,0.00023041121,0.00002804785,0.00021959329,0.000060697803],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028891093,0.0003590852,0.029935408,0.0003551448,0.00006559105,0.000029365969,0.041946914,0.00033164702,0.0026050946,0.00084357156,0.006513325,0.91672593],"study_design_scores_gemma":[0.00015985723,0.0017250839,0.009505231,0.0036293184,0.000694306,0.000067480134,0.18732262,0.1287882,0.27837315,0.0076350817,0.3801516,0.0019480654],"about_ca_topic_score_codex":0.00222581,"about_ca_topic_score_gemma":0.0005460485,"teacher_disagreement_score":0.9147779,"about_ca_system_score_codex":0.00036226845,"about_ca_system_score_gemma":0.0005704201,"threshold_uncertainty_score":0.9999895},"labels":[],"label_agreement":null},{"id":"W4400487625","doi":"10.2196/49703","title":"Usability and Preliminary Efficacy of an Adaptive Supportive Care System for Patients With Cancer: Pilot Randomized Controlled Trial","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Usability; Randomized controlled trial; Medicine; Medical physics; Oncology; Computer science; Human–computer interaction; Internal medicine","score_opus":0.014176438508990396,"score_gpt":0.3074744361406483,"score_spread":0.29329799763165787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400487625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.972087,0.0060089086,0.000056046538,0.000093720104,0.0012275674,0.019513402,0.00064055173,0.00008687389,0.0002859319],"genre_scores_gemma":[0.98311394,0.000071657756,0.000034605797,0.000033072694,0.00043243798,0.016017444,0.000073964475,0.000040485887,0.00018241585],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99825776,0.0001775827,0.0005151191,0.00047392678,0.00034711004,0.0002285244],"domain_scores_gemma":[0.9982281,0.00065675046,0.00019561949,0.00024106256,0.00052789523,0.0001506194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003102419,0.00024282359,0.0015360899,0.000086913,0.0000532142,0.000022209062,0.00006121372,0.00008366106,0.00006929629],"category_scores_gemma":[0.00006967542,0.00015212575,0.00028749916,0.0001505771,0.00020163994,0.00010546546,0.000021336056,0.00013465079,3.9376752e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9815491,0.00027136126,0.001307288,0.0020623966,0.00068046484,0.000005164815,0.0048221215,0.000010586363,0.000014480989,0.00007477146,0.00008581322,0.009116461],"study_design_scores_gemma":[0.9775017,0.011722567,0.0040466757,0.0014489909,0.0016892465,0.0000013028761,0.002445705,0.00046049,0.00019502298,0.0000068305544,0.00028636624,0.00019509041],"about_ca_topic_score_codex":0.0019916373,"about_ca_topic_score_gemma":0.0012141344,"teacher_disagreement_score":0.011451205,"about_ca_system_score_codex":0.00039918674,"about_ca_system_score_gemma":0.0006678436,"threshold_uncertainty_score":0.6203508},"labels":[],"label_agreement":null},{"id":"W4400652755","doi":"10.2196/53180","title":"Do Measures of Real-World Physical Behavior Provide Insights Into the Well-Being and Physical Function of Cancer Survivors? Cross-Sectional Analysis","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cadence; Survivorship curve; Physical fitness; Cancer survivor; Physical therapy; Medicine; Quality of life (healthcare); Cancer survivorship; Aerobic exercise; Physical medicine and rehabilitation; Cancer; Accelerometer; Gerontology; Computer science","score_opus":0.02379720746484767,"score_gpt":0.3547355150254503,"score_spread":0.33093830756060266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400652755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940732,0.0034241981,0.000034575816,0.00017696612,0.00060990936,0.0004263273,0.000024878556,0.000050450544,0.0011794539],"genre_scores_gemma":[0.9964998,0.0004151606,0.0000034676743,0.00005768162,0.0010828612,0.00068044174,0.00001668988,0.000029269511,0.0012146474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837154,0.0000651118,0.00029938287,0.000435353,0.00064558035,0.00018302987],"domain_scores_gemma":[0.99908864,0.00012525363,0.00011440567,0.00029760934,0.0002852717,0.00008879637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001418291,0.00019752872,0.00046892214,0.00026616207,0.00009264699,0.000055043023,0.00009026459,0.00007181405,0.00015568628],"category_scores_gemma":[0.000008574904,0.0001307152,0.0003659739,0.0013622277,0.00027738375,0.00013601754,0.000051247313,0.00029082308,0.000002249542],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000517226,0.00018815161,0.94117993,0.0005622346,0.0012335236,0.000006539985,0.0155619355,0.0002710695,0.012729992,0.0011652824,0.00010441362,0.02647967],"study_design_scores_gemma":[0.00032861202,0.00013746522,0.9790397,0.00017661238,0.0020123352,7.6311466e-7,0.00036358534,0.0014165546,0.007907639,0.00037002936,0.008086445,0.00016020572],"about_ca_topic_score_codex":0.052843228,"about_ca_topic_score_gemma":0.15225244,"teacher_disagreement_score":0.0994092,"about_ca_system_score_codex":0.00021573821,"about_ca_system_score_gemma":0.00024585592,"threshold_uncertainty_score":0.953464},"labels":[],"label_agreement":null},{"id":"W4400975781","doi":"10.2196/57276","title":"Artificial Intelligence as a Potential Catalyst to a More Equitable Cancer Care","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Health equity; Equity (law); Multidisciplinary approach; Health care; Analytics; Public relations; Business; Political science; Medicine; Knowledge management; Computer science; Data science","score_opus":0.12714353080418717,"score_gpt":0.49831914912229663,"score_spread":0.37117561831810947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400975781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90393025,0.024536535,0.0024343969,0.057334095,0.007011925,0.0022418532,0.00014124149,0.00040385363,0.0019658466],"genre_scores_gemma":[0.9889387,0.00041695352,0.00014187353,0.0023981514,0.0031045624,0.0016539214,0.00004880197,0.00005005881,0.0032469823],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980235,0.000019174011,0.00043929907,0.0005429503,0.0003954389,0.0005796204],"domain_scores_gemma":[0.99891406,0.000038264374,0.000039242386,0.0003234719,0.00033730472,0.0003476669],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012438776,0.00020331363,0.0002552127,0.00023215446,0.00017693682,0.000114166105,0.00013958232,0.00014863726,0.002577009],"category_scores_gemma":[0.0000538873,0.00018211677,0.00012950254,0.00079815363,0.000071424336,0.00015492117,0.00006560237,0.0003172556,0.0011433893],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029560013,0.000080543345,0.0011114118,0.00080786383,0.000081358674,0.00012332507,0.025847735,0.0008775723,0.0077928593,0.0007733053,0.018109363,0.94409907],"study_design_scores_gemma":[0.00005913081,0.0013105383,0.0022076895,0.005017028,0.0007252069,0.00018257755,0.08061006,0.0090032695,0.48846495,0.005773336,0.40511906,0.0015271469],"about_ca_topic_score_codex":0.018971814,"about_ca_topic_score_gemma":0.0030738718,"teacher_disagreement_score":0.94257194,"about_ca_system_score_codex":0.0007737266,"about_ca_system_score_gemma":0.0015411525,"threshold_uncertainty_score":0.9996343},"labels":[],"label_agreement":null},{"id":"W4401107172","doi":"10.2196/56969","title":"Telemedicine Applications for Cancer Rehabilitation: Scoping Review","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute","keywords":"Telemedicine; Rehabilitation; Cancer; Medicine; Physical medicine and rehabilitation; Computer science; Physical therapy; Health care; Political science; Internal medicine","score_opus":0.029878184123900094,"score_gpt":0.42833717835354634,"score_spread":0.39845899422964626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401107172","genre_codex":"review","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00087535556,0.9040972,0.003025381,0.07704746,0.0014678284,0.009814003,0.00018299483,0.00032566057,0.0031641265],"genre_scores_gemma":[0.14508282,0.3696957,0.0024821833,0.050298065,0.01660608,0.38503107,0.00047723777,0.00034282162,0.029984027],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99894184,0.000013143946,0.00028581562,0.000346636,0.00021337111,0.0001991844],"domain_scores_gemma":[0.9992012,0.00017380418,0.000040429677,0.0002758718,0.00020170711,0.00010703753],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017723674,0.00012901722,0.0003129223,0.00007199904,0.000060403196,0.000016996712,0.000063520536,0.00005347431,0.0016107227],"category_scores_gemma":[0.00003308506,0.00010532298,0.00015751144,0.00047779633,0.000057477333,0.00006797409,0.000014469918,0.00012678394,0.000024786332],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009311612,0.00005611634,0.0022780343,0.16827421,0.0001504185,0.000005411949,0.001089089,0.000004869789,0.0005069556,0.0019392922,0.2171889,0.6084136],"study_design_scores_gemma":[0.00033276444,0.00011591503,0.00048984477,0.09471599,0.00022987978,0.0000054322436,0.00009671945,0.000049561066,0.00009968059,0.00012513163,0.90360826,0.00013078668],"about_ca_topic_score_codex":0.00028813558,"about_ca_topic_score_gemma":0.0022361085,"teacher_disagreement_score":0.6864194,"about_ca_system_score_codex":0.0002472546,"about_ca_system_score_gemma":0.00060504704,"threshold_uncertainty_score":0.99930197},"labels":[],"label_agreement":null},{"id":"W4401116373","doi":"10.2196/56935","title":"Lessons Learned From Shared Decision-Making With Oral Anticoagulants: Viewpoint on Suggestions for the Development of Oral Chemotherapy Decision Aids","year":2024,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute","keywords":"Decision aids; Medicine; Intensive care medicine; Alternative medicine; Pathology","score_opus":0.6775708782025284,"score_gpt":0.65556700281593,"score_spread":0.022003875386598426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401116373","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006855849,0.9858109,0.0018643916,0.002806692,0.0019118087,0.0035743609,0.0031446854,0.000108085434,0.00009351972],"genre_scores_gemma":[0.0017659594,0.9877373,0.004488863,0.0019935986,0.00050075306,0.0028362994,0.00019907343,0.00013977477,0.00033838855],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99647045,0.0003912737,0.00116319,0.0008615176,0.00042421243,0.000689351],"domain_scores_gemma":[0.9945307,0.0040112333,0.00047444884,0.00048265792,0.00021216042,0.00028880048],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010808712,0.00071194256,0.0017755685,0.00021805172,0.0005755034,0.00007024132,0.0007739689,0.0012119777,0.0025500893],"category_scores_gemma":[0.00014049941,0.00041120438,0.00047441898,0.000650576,0.00023440662,0.00008125684,0.00016016535,0.0028971625,0.00012483895],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001110219,0.00024837456,0.00002949991,0.0028769695,0.0013726674,0.000015659842,0.0005091171,0.00008193816,0.000006784884,0.0003959696,0.009273503,0.9840793],"study_design_scores_gemma":[0.0011301808,0.00017110421,0.000089745066,0.0224787,0.0022435114,0.000007801138,0.00007141221,0.00051449053,0.000069049966,0.00082479464,0.97190934,0.00048988475],"about_ca_topic_score_codex":0.00002714285,"about_ca_topic_score_gemma":0.00029512146,"teacher_disagreement_score":0.9835894,"about_ca_system_score_codex":0.00048933737,"about_ca_system_score_gemma":0.0017051148,"threshold_uncertainty_score":0.999834},"labels":[],"label_agreement":null},{"id":"W4401116384","doi":"10.2196/48465","title":"Needs of Patients With Gynecologic Cancer and Their Caregivers for Obtaining mHealth-Supported Self-Management: Focus Group Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"mHealth; Focus group; Medicine; Distress; Psychological intervention; Thematic analysis; Support group; Self-management; Family medicine; Gynecology; Nursing; Qualitative research; Clinical psychology; Psychiatry","score_opus":0.013638226442294905,"score_gpt":0.2900471733945219,"score_spread":0.276408946952227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401116384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915664,0.0032788902,0.000065067565,0.00035772787,0.0005946492,0.0028404163,0.00021958149,0.00013615073,0.00094112335],"genre_scores_gemma":[0.9965402,0.00037317458,0.000036182697,0.00018824489,0.00012525417,0.0022126276,0.000033785436,0.000043049153,0.00044750978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989344,0.000023144528,0.00021862163,0.00031223084,0.00020962005,0.0003019676],"domain_scores_gemma":[0.9993796,0.00006466899,0.00008644979,0.0002013713,0.00015346512,0.00011447958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011566138,0.00020858973,0.0003678692,0.00020413252,0.000074417476,0.000022920647,0.00007562823,0.000066209686,0.00015089076],"category_scores_gemma":[0.0000034922393,0.00014394929,0.000070136935,0.0004939168,0.00004878635,0.000088364264,0.000044837485,0.00013305101,6.395718e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017440039,0.000687614,0.64009005,0.0046150014,0.002198258,0.0000352759,0.0866767,0.000015475049,0.000033084925,0.00034600723,0.003642705,0.25991583],"study_design_scores_gemma":[0.015974104,0.0072659496,0.7055106,0.0014541257,0.002140864,0.0000029198304,0.11167616,0.000440723,0.00018139895,0.00011245594,0.15444613,0.00079454907],"about_ca_topic_score_codex":0.0013474855,"about_ca_topic_score_gemma":0.0054759653,"teacher_disagreement_score":0.25912127,"about_ca_system_score_codex":0.0003107352,"about_ca_system_score_gemma":0.00016360795,"threshold_uncertainty_score":0.5870082},"labels":[],"label_agreement":null},{"id":"W4401165482","doi":"10.2196/57199","title":"Impact of Patient Personality on Adherence to Oral Anticancer Medications: An Opportunity?","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Personality; Medicine; Clinical psychology; Medication adherence; Psychology; Psychiatry; Internal medicine; Social psychology","score_opus":0.12259104721308176,"score_gpt":0.4715119842361096,"score_spread":0.34892093702302784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401165482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898652,0.000631189,0.00011835848,0.0029112801,0.00025595355,0.0006574274,0.000087722976,0.000081004066,0.0053919037],"genre_scores_gemma":[0.9946687,0.00015902986,0.00018497696,0.002095705,0.00015918557,0.0005650364,0.000028543533,0.0000149094885,0.00212387],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99870235,0.000038149217,0.0002692918,0.0003179344,0.00048109939,0.00019119446],"domain_scores_gemma":[0.9988297,0.000038205275,0.00006711386,0.00040833064,0.00017198476,0.00048465494],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013478234,0.00012916648,0.0002321098,0.00010265471,0.00003309878,0.000014900793,0.0001248837,0.000056062385,0.015800873],"category_scores_gemma":[0.00006593164,0.000094660376,0.00010243476,0.00043528184,0.00008873748,0.0000995586,0.000019105068,0.00018385125,0.0003726676],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007270068,0.001293204,0.08544133,0.00066891493,0.00045853335,0.00005816017,0.005557163,0.000046104196,0.007194918,0.002910518,0.20370676,0.6919374],"study_design_scores_gemma":[0.0012548899,0.009013333,0.8653116,0.0045167543,0.00022749635,0.000035832163,0.0010430228,0.0028208997,0.0021885787,0.00069429295,0.1123066,0.0005866845],"about_ca_topic_score_codex":0.0007813845,"about_ca_topic_score_gemma":0.00003343204,"teacher_disagreement_score":0.7798703,"about_ca_system_score_codex":0.0002149127,"about_ca_system_score_gemma":0.0012936037,"threshold_uncertainty_score":0.98509884},"labels":[],"label_agreement":null},{"id":"W4401364440","doi":"10.2196/48170","title":"Prototype of an App Designed to Support Self-Management for Health Behaviors and Weight in Women Living With Breast Cancer: Qualitative User Experience Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Qualitative research; Self-management; Breast cancer; Cancer; mHealth; Gerontology; Weight management; Mobile apps; Medicine; Psychology; Multimedia; Computer science; World Wide Web; Nursing; Weight loss; Obesity; Psychological intervention; Sociology; Artificial intelligence; Internal medicine","score_opus":0.019625548944568073,"score_gpt":0.3995817793204525,"score_spread":0.37995623037588444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401364440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924361,0.00033115374,0.00008923282,0.00054312445,0.0001298846,0.006253817,0.000101038146,0.00006813596,0.000047473768],"genre_scores_gemma":[0.96753234,0.00007226688,0.0003223125,0.0003895134,0.000068239366,0.03120242,0.000003116008,0.000037642196,0.00037212815],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9985866,0.00007736685,0.00026642912,0.0004541001,0.00028617756,0.00032931924],"domain_scores_gemma":[0.99940354,0.00003832846,0.0000579867,0.00020294562,0.00009150678,0.00020572075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039645596,0.00016756232,0.0003519335,0.0001756978,0.000042301348,0.000025809573,0.000077981305,0.00003134978,0.00014333717],"category_scores_gemma":[0.0000020570953,0.0001317538,0.000024087845,0.00046932878,0.00003560409,0.00014892404,0.000036968835,0.00008788168,5.724459e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034308617,0.00067640195,0.08783405,0.0021106927,0.00015668264,0.000031746997,0.8721756,0.000008309612,0.00009758844,0.00004282945,0.00033176146,0.033103485],"study_design_scores_gemma":[0.0036589252,0.019768445,0.52324975,0.003493347,0.00016095207,0.000013297365,0.43695667,0.000061027993,0.00023130236,0.000011619265,0.011809369,0.00058527023],"about_ca_topic_score_codex":0.004226303,"about_ca_topic_score_gemma":0.01641056,"teacher_disagreement_score":0.43541571,"about_ca_system_score_codex":0.00064696826,"about_ca_system_score_gemma":0.00041379858,"threshold_uncertainty_score":0.9157477},"labels":[],"label_agreement":null},{"id":"W4401510310","doi":"10.2196/49197","title":"Influence of Breast Cancer Awareness Month on Public Interest of Breast Cancer in High-Income Countries Between 2012 and 2022: Google Trends Analysis","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Context (archaeology); Medicine; Breast cancer awareness; Cancer; Demography; Geography; Internal medicine","score_opus":0.01521604914412556,"score_gpt":0.3303458023964562,"score_spread":0.31512975325233067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401510310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9525173,0.0071873968,0.0000047539165,0.0043012872,0.00016563191,0.00026664708,0.035412192,0.00006735158,0.00007743937],"genre_scores_gemma":[0.9966314,0.0019096208,0.000005337372,0.00012315171,0.0002639062,0.00041457266,0.0001984058,0.000046438225,0.00040716314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976437,0.000085385764,0.00065654295,0.00064430543,0.0005337918,0.00043629398],"domain_scores_gemma":[0.998385,0.00012858701,0.00030737833,0.00059442804,0.00032692825,0.00025764763],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022520001,0.0003361821,0.0010864668,0.0010729932,0.00003790063,0.0000461913,0.00026380486,0.00013943472,0.0021084577],"category_scores_gemma":[0.00001813142,0.0002830583,0.00016811557,0.0026019176,0.0003358258,0.0004911746,0.00014501826,0.00029305267,0.0000059538206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044990832,0.0000973589,0.9724848,0.001022481,0.0012977427,0.000029067129,0.00015613063,0.0008644816,0.00034591963,0.00015592987,0.0012951277,0.02180104],"study_design_scores_gemma":[0.0010128499,0.00005931001,0.99241126,0.0017913833,0.00066867826,0.0000050411186,0.000030607036,0.00032026626,0.00019491333,0.000010579296,0.0032333748,0.00026174815],"about_ca_topic_score_codex":0.018963674,"about_ca_topic_score_gemma":0.041731782,"teacher_disagreement_score":0.0441141,"about_ca_system_score_codex":0.0005509794,"about_ca_system_score_gemma":0.000707186,"threshold_uncertainty_score":0.99996215},"labels":[],"label_agreement":null},{"id":"W4401572039","doi":"10.2196/52018","title":"Crowdfunding for Complementary and Alternative Cancer Treatments in Tijuana, Mexico: Content Analysis","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta; Simon Fraser University","funders":"","keywords":"Medicine; Beneficiary; Misinformation; Alternative medicine; Cancer treatment; Family medicine; Cancer; Advertising; Political science; Business; Internal medicine; Finance","score_opus":0.09799238515587168,"score_gpt":0.35312751465074255,"score_spread":0.2551351294948709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401572039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98666674,0.004066985,0.0012039049,0.002211287,0.0009116631,0.0013175061,0.0003664272,0.00015527147,0.003100226],"genre_scores_gemma":[0.9946264,0.00014860842,0.00009445307,0.0009415808,0.0004699947,0.001580678,0.00009185432,0.000042673582,0.0020037368],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99852276,0.0000047882427,0.00032471534,0.00055681367,0.00019097242,0.00039994417],"domain_scores_gemma":[0.9995809,0.00006176852,0.00012998738,0.0001360368,0.000073577314,0.000017717788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013329039,0.0002541611,0.00035915163,0.00068858487,0.00010327986,0.0004826615,0.00016255556,0.00004536356,0.0003462209],"category_scores_gemma":[0.0000139804215,0.00023149219,0.00015512142,0.0011489373,0.00006160592,0.001138389,0.00013568546,0.00010449018,0.000020838379],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000295074,0.00021853323,0.8435105,0.0011285961,0.0031898145,0.00008985238,0.00060854666,0.0010088859,0.002012333,0.03508055,0.018722672,0.09413465],"study_design_scores_gemma":[0.004272037,0.000088884786,0.39724582,0.0018175136,0.0021121192,0.0000022031095,0.00087527704,0.15859397,0.0013528712,0.0070821275,0.4250051,0.0015520545],"about_ca_topic_score_codex":0.016305882,"about_ca_topic_score_gemma":0.013586889,"teacher_disagreement_score":0.44626465,"about_ca_system_score_codex":0.0004430991,"about_ca_system_score_gemma":0.000030246274,"threshold_uncertainty_score":0.9902446},"labels":[],"label_agreement":null},{"id":"W4401614206","doi":"10.2196/52128","title":"An mHealth App to Support Caregivers in the Medical Management of Their Child With Cancer: Beta Stage Usability Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health","keywords":"mHealth; Usability; Stage (stratigraphy); Cancer; Medicine; Psychology; Computer science; Nursing; Human–computer interaction; Internal medicine; Psychological intervention; Biology","score_opus":0.03302116044959192,"score_gpt":0.39334184139564266,"score_spread":0.36032068094605074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401614206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97101295,0.00090926705,0.000025363439,0.02205065,0.00035186514,0.003346224,0.00021282773,0.00009919282,0.0019916801],"genre_scores_gemma":[0.99512136,0.0003169504,0.000033543536,0.0027251488,0.0003367626,0.0011602875,0.000021776748,0.000040417937,0.00024375397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965695,0.00025743656,0.00053761963,0.00070564216,0.0015060478,0.0004237562],"domain_scores_gemma":[0.99847096,0.00008722419,0.00008852344,0.00094560324,0.00006975977,0.0003379134],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016732858,0.00026739904,0.00056614185,0.00014595997,0.000071372255,0.00003206123,0.00048943533,0.000077658406,0.0011363232],"category_scores_gemma":[0.0000072811767,0.00016535369,0.00009083375,0.00082454056,0.00015806922,0.00011162476,0.00009309956,0.00050999044,0.0000070712235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002558556,0.0048114206,0.43540865,0.009200551,0.0016614723,0.0013502263,0.3960277,0.00028547517,0.000014935079,0.00096056145,0.0149288215,0.13279161],"study_design_scores_gemma":[0.004076844,0.0039797486,0.7446234,0.0029103665,0.00032355534,0.00002966199,0.18050754,0.000095341005,0.000106442574,0.000017268785,0.06288539,0.00044440097],"about_ca_topic_score_codex":0.017530588,"about_ca_topic_score_gemma":0.048103057,"teacher_disagreement_score":0.3092148,"about_ca_system_score_codex":0.00050633174,"about_ca_system_score_gemma":0.0008778273,"threshold_uncertainty_score":0.9997768},"labels":[],"label_agreement":null},{"id":"W4401793815","doi":"10.2196/49897","title":"Health Information Seeking on the Internet Among Patients With and Without Cancer in a Region Affected by the 2011 Fukushima Triple Disaster: Cross-Sectional Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cross-sectional study; The Internet; Fukushima Nuclear Accident; Environmental health; Cancer; Health information; Psychology; Medicine; Family medicine; Political science; Health care; World Wide Web; Computer science; Internal medicine; Pathology; Law","score_opus":0.03591560535586964,"score_gpt":0.42743645509060185,"score_spread":0.3915208497347322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401793815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99247396,0.00017019904,0.00018273773,0.0017233564,0.0007803991,0.0040774597,0.00014317161,0.000071200746,0.0003775407],"genre_scores_gemma":[0.99205166,0.000037384696,0.0000030881486,0.004115325,0.0001021399,0.0030657528,0.000056222507,0.000013219591,0.000555182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99755704,0.0005895943,0.0009224026,0.00021840485,0.00036058653,0.00035197038],"domain_scores_gemma":[0.9988849,0.00021104635,0.00042419697,0.00023791185,0.00015399777,0.000087946435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012787118,0.00016338819,0.00019090247,0.00010736531,0.0005902462,0.00016579925,0.00015039353,0.00009078882,0.00036095758],"category_scores_gemma":[0.000045326015,0.000080442864,0.000023069164,0.00031006493,0.00008525872,0.0016273475,0.00006912085,0.00082747714,0.000031935302],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000314325,0.00006370956,0.9478583,0.00033490965,0.000016148397,7.2788595e-8,0.03179649,0.000012975944,1.1223331e-7,0.00005006396,0.0107960785,0.008756818],"study_design_scores_gemma":[0.0012116872,0.00017179317,0.9792641,0.00059264514,0.0000034031139,2.1202028e-7,0.0014272672,0.00456763,4.4819205e-7,0.000011288901,0.012655211,0.00009431007],"about_ca_topic_score_codex":0.009325671,"about_ca_topic_score_gemma":0.008077611,"teacher_disagreement_score":0.031405807,"about_ca_system_score_codex":0.0006496698,"about_ca_system_score_gemma":0.00038511146,"threshold_uncertainty_score":0.9972713},"labels":[],"label_agreement":null},{"id":"W4401794081","doi":"10.2196/54740","title":"Predictive Models for Long Term Survival of AML Patients Treated with Venetoclax and Azacitidine or 7+3 Based on Post Treatment Events and Responses: Retrospective Cohort Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Azacitidine; Venetoclax; Oncology; Medicine; Retrospective cohort study; Term (time); Internal medicine; Cohort; Overall survival; Leukemia; Biology; Genetics","score_opus":0.025581859127796498,"score_gpt":0.34380378831215375,"score_spread":0.31822192918435727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401794081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99145454,0.000118073396,0.00007736054,0.0001037564,0.00004253053,0.006847127,0.0012069352,0.000046631038,0.00010303719],"genre_scores_gemma":[0.99581796,0.00010149715,0.00003320043,0.000031983258,0.00006482353,0.0025663045,0.00011900013,0.00005685617,0.0012083721],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984146,0.00009087138,0.00020979467,0.00056045555,0.00046747504,0.0002568429],"domain_scores_gemma":[0.9989919,0.00022727085,0.0000599724,0.0002499792,0.00032521243,0.00014565073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016778319,0.00024349795,0.0004902039,0.00022243442,0.00006463893,0.000018763596,0.00004637464,0.000074651136,0.000033631623],"category_scores_gemma":[0.000042514403,0.00014893975,0.00004585405,0.00025973175,0.00010445995,0.00009774659,0.00002749915,0.00013294452,5.2024694e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.04323608,0.00054979534,0.9520702,0.00019689082,0.00080544193,0.000089683504,0.000889797,0.0000752204,0.00015755557,0.0000031782154,0.000047005742,0.001879184],"study_design_scores_gemma":[0.010522395,0.025621215,0.9481719,0.0005591256,0.00040344038,0.000004279842,0.00015247901,0.013868753,0.00054238655,0.0000047823028,0.000016849417,0.00013239114],"about_ca_topic_score_codex":0.0005386007,"about_ca_topic_score_gemma":0.00036271024,"teacher_disagreement_score":0.032713685,"about_ca_system_score_codex":0.0024260604,"about_ca_system_score_gemma":0.0007859125,"threshold_uncertainty_score":0.6344063},"labels":[],"label_agreement":null},{"id":"W4402673316","doi":"10.2196/60323","title":"A Machine Learning Approach for Predicting Biochemical Outcome After PSMA-PET–Guided Salvage Radiotherapy in Recurrent Prostate Cancer After Radical Prostatectomy: Retrospective Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Medicine; Prostatectomy; Prostate cancer; Nomogram; Biochemical recurrence; Retrospective cohort study; Concordance; Clinical endpoint; Prostate-specific antigen; Salvage therapy; Oncology; Clinical trial; Surgery; Internal medicine; Cancer; Chemotherapy","score_opus":0.02104454357719296,"score_gpt":0.34908598894595283,"score_spread":0.3280414453687599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402673316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9303296,0.057108317,0.00009706323,0.0013495209,0.000538417,0.009626498,0.0005960262,0.00028452062,0.00007004567],"genre_scores_gemma":[0.92830455,0.0022768336,0.00081105065,0.00036680297,0.0006252988,0.06663454,0.00011499557,0.00016813372,0.0006977621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964205,0.00010857734,0.0007985145,0.0013140157,0.0005387955,0.00081962167],"domain_scores_gemma":[0.9990451,0.00006610879,0.00013398814,0.00035094732,0.00013431712,0.0002695706],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004360821,0.00057205564,0.0009156313,0.0003079417,0.00008724092,0.00013115609,0.00011791747,0.00013113277,0.00030543035],"category_scores_gemma":[0.00004950657,0.0004357822,0.00029181835,0.00065003906,0.00013259902,0.0001800805,0.00007745394,0.0009052853,0.00000414846],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0050540613,0.0015008178,0.97176206,0.0013963482,0.0006173742,0.0005893937,0.006229186,0.00008544884,0.00044006135,0.000008836863,0.00070119445,0.01161522],"study_design_scores_gemma":[0.025524687,0.0052580168,0.90963346,0.0033261338,0.0009804475,0.000104190796,0.0006583092,0.030767485,0.0018050884,0.00008009186,0.020425472,0.0014365993],"about_ca_topic_score_codex":0.00050887925,"about_ca_topic_score_gemma":0.00017008095,"teacher_disagreement_score":0.062128577,"about_ca_system_score_codex":0.003128254,"about_ca_system_score_gemma":0.00039872175,"threshold_uncertainty_score":0.9998094},"labels":[],"label_agreement":null},{"id":"W4402739763","doi":"10.2196/58014","title":"Delivering a Group-Based Quality of Life Intervention to Young Adult Cancer Survivors via a Web Platform: Feasibility Trial","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Preprint; Intervention (counseling); Quality of life (healthcare); Usability; Peer support; Medicine; Psychology; Gerontology; Nursing; World Wide Web; Computer science","score_opus":0.07080493062859808,"score_gpt":0.40678674099134393,"score_spread":0.3359818103627459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402739763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856613,0.0023575062,0.002513881,0.0024458356,0.0030470665,0.0029997644,0.00042226774,0.00033411162,0.00021823014],"genre_scores_gemma":[0.99502784,0.00010034625,0.00027198542,0.0015320068,0.0012534627,0.0015039042,0.00005472528,0.00008073867,0.00017497898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957273,0.000267369,0.0015044165,0.0008920863,0.0010883776,0.0005204282],"domain_scores_gemma":[0.99782735,0.00024666774,0.00032702382,0.0007201491,0.0003994791,0.00047934245],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016191137,0.00040404845,0.0010180074,0.00030584153,0.00008104643,0.00006390359,0.0002563247,0.00022595008,0.0010248022],"category_scores_gemma":[0.00043931787,0.00038259182,0.0007100383,0.00086406077,0.00012067703,0.00027690784,0.00011747883,0.0004828814,0.000031891508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.24144118,0.0041701836,0.5969175,0.030839428,0.002519272,0.00005671577,0.019187525,0.0007172621,0.024935141,0.0008325874,0.008991038,0.06939214],"study_design_scores_gemma":[0.123910345,0.004719015,0.8274938,0.014285839,0.0008561585,0.000013686177,0.0021472822,0.013338509,0.0054550576,0.00033477932,0.005162218,0.0022833168],"about_ca_topic_score_codex":0.19328193,"about_ca_topic_score_gemma":0.30250618,"teacher_disagreement_score":0.23057626,"about_ca_system_score_codex":0.0010784069,"about_ca_system_score_gemma":0.0009250436,"threshold_uncertainty_score":0.9998884},"labels":[],"label_agreement":null},{"id":"W4402832004","doi":"10.2196/51936","title":"Oral Cancer Incidence Among Adult Males With Current or Former Use of Cigarettes or Smokeless Tobacco: Population-Based Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Smokeless tobacco; Medicine; Incidence (geometry); Environmental health; Demography; Cancer; Tobacco control; Population; Tobacco use; Public health; Internal medicine; Pathology","score_opus":0.070402962628217,"score_gpt":0.39305802001551016,"score_spread":0.32265505738729316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402832004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99476284,0.0023509965,0.000022046439,0.00070189714,0.00050280115,0.0013944089,0.00013452343,0.000106717474,0.000023778004],"genre_scores_gemma":[0.99597514,0.0004866887,0.00006758852,0.0003578689,0.0002715514,0.0019355182,0.000016210817,0.000050364404,0.0008390674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982171,0.000035966306,0.00039935764,0.0004516684,0.0005538021,0.00034210537],"domain_scores_gemma":[0.9989599,0.00015769666,0.00011401921,0.00028984126,0.00035383855,0.00012467887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080416154,0.00028259505,0.00060575624,0.0001509216,0.00009195338,0.000049428163,0.00009790021,0.00006217956,0.00070894003],"category_scores_gemma":[0.000057403588,0.0001583931,0.00008435098,0.0006306254,0.000097217846,0.00029410986,0.000041877567,0.00024764,0.0000025426648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015581645,0.00023114307,0.9452649,0.00062786706,0.00024139007,0.00007303405,0.0012158318,0.00011957926,0.000021964124,0.000010094432,0.0033292314,0.047306806],"study_design_scores_gemma":[0.0014718901,0.00086579716,0.9869678,0.0046495525,0.00029520935,0.0000022424942,0.0005321798,0.0006747283,0.00031100216,0.0000014062433,0.003965756,0.00026241265],"about_ca_topic_score_codex":0.010752571,"about_ca_topic_score_gemma":0.089428276,"teacher_disagreement_score":0.07867571,"about_ca_system_score_codex":0.00037208622,"about_ca_system_score_gemma":0.00086259074,"threshold_uncertainty_score":0.9958349},"labels":[],"label_agreement":null},{"id":"W4402841385","doi":"10.2196/59614","title":"Implementation of Regular Lifestyle Counseling During Long-Term Follow-Up Care of Childhood Cancer Survivors: Monocentric Prospective Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Medicine; Term (time); Childhood cancer; Gerontology; Long-term care; Cancer; Nursing; Internal medicine","score_opus":0.015037312568466753,"score_gpt":0.35727960404418985,"score_spread":0.3422422914757231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402841385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9712711,0.023392428,0.000025886206,0.00032780383,0.0011461393,0.0033477999,0.00027411184,0.00015330246,0.0000614106],"genre_scores_gemma":[0.9966805,0.0010999149,0.00003243361,0.00007064223,0.00080800155,0.000937937,0.000042487576,0.00010224995,0.00022583788],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967511,0.00012468937,0.0009472534,0.0007259263,0.0010096987,0.00044131992],"domain_scores_gemma":[0.99833775,0.00007960123,0.0003626628,0.0005406236,0.0005185628,0.00016082321],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033784955,0.00036064308,0.0008134312,0.00034375116,0.00010025848,0.000038682316,0.00019413843,0.00011253152,0.00048885366],"category_scores_gemma":[0.000027333017,0.00034922684,0.00028675128,0.0009428831,0.000079282865,0.00024182722,0.000087318695,0.00032130262,0.0000052521636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029401475,0.00036220165,0.89170617,0.0033058398,0.0010127259,0.000034041554,0.09575956,0.00004263939,0.0012841945,0.00001680599,0.00015546303,0.0060263607],"study_design_scores_gemma":[0.0048791133,0.00049778906,0.94727457,0.0021412356,0.00062346086,0.000009075067,0.024696814,0.000011679086,0.019433217,0.000013225456,0.00010100775,0.00031882187],"about_ca_topic_score_codex":0.015158247,"about_ca_topic_score_gemma":0.028624695,"teacher_disagreement_score":0.07106275,"about_ca_system_score_codex":0.0007594803,"about_ca_system_score_gemma":0.00086106476,"threshold_uncertainty_score":0.999896},"labels":[],"label_agreement":null},{"id":"W4402842129","doi":"10.2196/53229","title":"Examining Racial Disparities in Colorectal Cancer Screening and the Role of Online Medical Record Use: Findings From a Cross-Sectional Study of a National Survey","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Cancer Institute","keywords":"Preprint; Cross-sectional study; Colorectal cancer; Medicine; Health Information National Trends Survey; Gerontology; Psychology; Cancer; Internal medicine; Political science; World Wide Web; Health information; Computer science; Health care; Pathology","score_opus":0.063862173007072,"score_gpt":0.3744086771629678,"score_spread":0.3105465041558958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402842129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99630857,0.0022602943,0.000026883376,0.000103310806,0.000372187,0.00045911534,0.00039613197,0.00003205127,0.000041483414],"genre_scores_gemma":[0.9989113,0.00012953483,0.00004508616,0.000047794245,0.00037794377,0.00035892992,0.000043894954,0.000018696723,0.00006677977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808955,0.00014547035,0.00047138825,0.00032347365,0.0008153185,0.00015481109],"domain_scores_gemma":[0.99848205,0.0010837199,0.00009587987,0.00006708909,0.00020826468,0.000063003485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078686274,0.00013322942,0.0003630768,0.00018702258,0.000067424626,0.000050991806,0.00007703399,0.00013156202,0.00024591706],"category_scores_gemma":[0.0004855263,0.00010049585,0.00005827894,0.00046747073,0.0002500177,0.00014565054,0.000080192985,0.00042552548,2.5917475e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011119302,0.00013135836,0.97426355,0.00004201357,0.00017522686,0.0000055820974,0.0019877532,0.0000739321,0.0003909466,0.000016563581,0.000041951957,0.011751815],"study_design_scores_gemma":[0.003378562,0.0005825946,0.9828745,0.00039131756,0.000030035211,0.000007491446,0.0004154462,0.011771009,0.0002925491,0.000055751334,0.00010831011,0.0000924016],"about_ca_topic_score_codex":0.11031153,"about_ca_topic_score_gemma":0.13563533,"teacher_disagreement_score":0.025323797,"about_ca_system_score_codex":0.00016903362,"about_ca_system_score_gemma":0.0004692748,"threshold_uncertainty_score":0.89561296},"labels":[],"label_agreement":null},{"id":"W4402969573","doi":"10.2196/56048","title":"Exploring Racial Disparities in Awareness and Perceptions of Oncology Clinical Trials: Cross-Sectional Analysis of Baseline Data From the mychoice Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Clinical trial; Medicine; Health literacy; Health care; African american; Health equity; Family medicine; Randomized controlled trial; Cross-sectional study; Gerontology; Internal medicine; Public health; Nursing; Pathology","score_opus":0.9196053094145431,"score_gpt":0.7532084215705789,"score_spread":0.16639688784396423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402969573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946129,0.0011645808,0.00015880543,0.0017448359,0.00061581493,0.0004857967,0.0011577704,0.000012162421,0.00004737022],"genre_scores_gemma":[0.9933888,0.0048114653,0.00007605515,0.00011109337,0.0010445016,0.00027645138,0.00013510734,0.000011019952,0.00014551243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957619,0.0014317455,0.0015008608,0.0005145586,0.00064962916,0.00014131951],"domain_scores_gemma":[0.9312956,0.06745674,0.00015579445,0.00069680804,0.0003122172,0.000082875566],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.024328707,0.00008740054,0.00085052947,0.00019944977,0.000060647308,0.000033230655,0.00030871938,0.00020618604,0.00085846195],"category_scores_gemma":[0.027229736,0.00005758137,0.0001821757,0.0007714473,0.00059241836,0.00014239171,0.0003770378,0.001365266,0.0000023478497],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008291063,0.00060779846,0.9883196,0.0000974695,0.001172462,0.0000090173035,0.0011650423,0.000065650514,0.00007377505,0.00010841774,0.00016794117,0.0073837712],"study_design_scores_gemma":[0.001211502,0.0002461083,0.9888825,0.00015816749,0.0007678679,2.6837583e-7,0.0014546624,0.0060097235,0.00000425706,0.00026536148,0.00095133495,0.000048245063],"about_ca_topic_score_codex":0.009230371,"about_ca_topic_score_gemma":0.06900175,"teacher_disagreement_score":0.066025,"about_ca_system_score_codex":0.000092606395,"about_ca_system_score_gemma":0.0010243455,"threshold_uncertainty_score":0.99736726},"labels":[],"label_agreement":null},{"id":"W4402974503","doi":"10.2196/53440","title":"Scope, Findability, and Quality of Information About Music-Based Interventions in Oncology: Quantitative Content Analysis of Public-Facing Websites at National Cancer Institute–Designated Cancer Centers","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Music Therapy and Health","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Preprint; Scope (computer science); Content analysis; Psychological intervention; Quality (philosophy); Medicine; Internet privacy; World Wide Web; Computer science; Sociology; Nursing","score_opus":0.4159476659692456,"score_gpt":0.5272048671270237,"score_spread":0.11125720115777815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402974503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98573226,0.006705231,0.0012097193,0.001744947,0.0009276573,0.00071150105,0.0018868786,0.000031669395,0.0010501521],"genre_scores_gemma":[0.9975233,0.00041582453,0.000109704204,0.0006885978,0.000029508054,0.0008659032,0.00016117921,0.000008219176,0.00019776938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978687,0.00035003133,0.0009939563,0.0002790166,0.00027635618,0.00023193579],"domain_scores_gemma":[0.99851567,0.00033578413,0.00046380784,0.00015073828,0.00046150657,0.000072490184],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011762371,0.00014805523,0.00052129786,0.00090268237,0.00006887619,0.000027088501,0.00011940993,0.00013896788,0.005904818],"category_scores_gemma":[0.00007955176,0.0001353461,0.00021135912,0.001333075,0.00026778533,0.00044771956,0.000041736137,0.00020148318,0.0000051667357],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002179697,0.0010192519,0.8113041,0.00396705,0.005195502,0.0000030281901,0.043904334,0.00838228,0.006375195,0.049445335,0.006635206,0.061589047],"study_design_scores_gemma":[0.0018840833,0.00016689485,0.97897106,0.0009230497,0.0002023648,1.9707552e-7,0.0010300336,0.0034045004,0.0002929672,0.00007653401,0.012853541,0.00019475227],"about_ca_topic_score_codex":0.037790805,"about_ca_topic_score_gemma":0.2362092,"teacher_disagreement_score":0.1984184,"about_ca_system_score_codex":0.0011451117,"about_ca_system_score_gemma":0.000862604,"threshold_uncertainty_score":0.99500394},"labels":[],"label_agreement":null},{"id":"W4403020634","doi":"10.2196/52551","title":"Identifying Factors Associated With Heightened Anxiety During Breast Cancer Diagnosis Through the Analysis of Social Media Data on Reddit: Mixed Methods Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mental Health via Writing","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Preprint; Social media; Breast cancer; Anxiety; Psychology; Advertising; Medicine; Cancer; Computer science; World Wide Web; Internal medicine; Psychiatry; Business","score_opus":0.1550153168725361,"score_gpt":0.5023230829431479,"score_spread":0.34730776607061176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403020634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906388,0.0014740768,0.000037437192,0.0007093983,0.0016294486,0.0008348729,0.0042157327,0.00013415645,0.00032608883],"genre_scores_gemma":[0.99664223,0.00012972116,0.00007925917,0.00011689965,0.00043034498,0.0021632374,0.00022591892,0.00007273105,0.00013963993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961707,0.001089496,0.0006269481,0.0009153556,0.0006437655,0.0005537445],"domain_scores_gemma":[0.99733067,0.0013025951,0.00038509996,0.00080088415,0.00010032449,0.00008045258],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010233491,0.00031451564,0.000688059,0.00022827441,0.00040939546,0.00008498502,0.00067171664,0.00015491055,0.0036961718],"category_scores_gemma":[0.000058491984,0.00021082726,0.0001729018,0.0026721752,0.00012499545,0.00026055184,0.00025698717,0.00050486415,0.000005802979],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045764397,0.0011930455,0.7130498,0.00033891734,0.020532217,0.000048518097,0.17899883,0.00006679504,0.00031672718,0.0002534937,0.012001692,0.07274227],"study_design_scores_gemma":[0.0006697727,0.00003456133,0.9677111,0.0002720829,0.002145943,9.0859646e-7,0.027946724,0.00012369257,0.00031834136,0.000016542912,0.0005166421,0.00024368522],"about_ca_topic_score_codex":0.00443108,"about_ca_topic_score_gemma":0.01720813,"teacher_disagreement_score":0.25466126,"about_ca_system_score_codex":0.0006348594,"about_ca_system_score_gemma":0.00011647693,"threshold_uncertainty_score":0.99721456},"labels":[],"label_agreement":null},{"id":"W4403066458","doi":"10.2196/57510","title":"Uncovering the Daily Experiences of People Living With Advanced Cancer Using an Experience Sampling Method Questionnaire: Development, Content Validation, and Optimization Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mental Health Research Topics","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek","keywords":"Preprint; Experience sampling method; Sampling (signal processing); Psychology; Gerontology; Medicine; Medical education; Computer science; Social psychology; World Wide Web","score_opus":0.1707510901610584,"score_gpt":0.5064110871861168,"score_spread":0.33565999702505844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403066458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91266567,0.0021327026,0.08373719,0.00004865382,0.0004774544,0.00086817396,0.0000028793202,0.000042680294,0.000024607818],"genre_scores_gemma":[0.9824439,0.00008512775,0.01452747,0.00004581547,0.00007813006,0.0026811433,0.0000015262227,0.000022912112,0.00011394895],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9984891,0.00023106519,0.0003025736,0.0004026458,0.0003179096,0.0002567196],"domain_scores_gemma":[0.99933803,0.00014203477,0.00011101077,0.00020426826,0.0001234073,0.00008125332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048492616,0.00013371704,0.00016541265,0.00007858329,0.00027127238,0.00008807551,0.00014737129,0.000035994784,0.00037387217],"category_scores_gemma":[0.00003225793,0.000093760274,0.0000127509,0.00039681667,0.000073401185,0.00040632093,0.00006659202,0.00013113528,4.3865734e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093938295,0.00014918913,0.108595386,0.0002243682,0.00006695203,0.0000024647904,0.77390534,0.06651028,0.0006819881,0.00007639528,0.000005666069,0.04968806],"study_design_scores_gemma":[0.0009760141,0.0006140055,0.21933621,0.0023997494,0.000047950343,0.00002248258,0.73770815,0.034700077,0.0031597945,0.000015234069,0.000496705,0.000523611],"about_ca_topic_score_codex":0.002834848,"about_ca_topic_score_gemma":0.0010831406,"teacher_disagreement_score":0.11074083,"about_ca_system_score_codex":0.00024302691,"about_ca_system_score_gemma":0.00026362555,"threshold_uncertainty_score":0.4285461},"labels":[],"label_agreement":null},{"id":"W4403292582","doi":"10.2196/54715","title":"Association of Family-Centered Care With Psychological Distress Among Caregivers of Children With Cancer at a Tertiary-Level Hospital in Ethiopia: Cross-Sectional Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cross-sectional study; Association (psychology); Psychological distress; Tertiary level; Medicine; Tertiary care; Distress; Childhood cancer; Family medicine; Clinical psychology; Psychology; Gerontology; Psychiatry; Cancer; Mental health; Psychotherapist; Internal medicine","score_opus":0.02827160088287557,"score_gpt":0.36196953524250763,"score_spread":0.3336979343596321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403292582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950115,0.0012779075,0.000007738025,0.00035108282,0.0004034562,0.0015358786,0.0012134674,0.000057666144,0.00014126771],"genre_scores_gemma":[0.99852484,0.00008246801,0.000026843309,0.000092594484,0.00021607614,0.0004872978,0.00012511275,0.000040711588,0.0004040657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974939,0.00009355426,0.00050451054,0.00061945803,0.0009892123,0.0002993677],"domain_scores_gemma":[0.99893636,0.00006773834,0.0002948919,0.00029972158,0.00029840632,0.00010286647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018282037,0.0002586257,0.0005280474,0.00014261527,0.0000509102,0.000028648075,0.00015188234,0.00019413808,0.00014125064],"category_scores_gemma":[0.000018616573,0.00019384528,0.00012242848,0.00042863423,0.00020641914,0.00014399581,0.00006553158,0.00044863962,0.000001563704],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009776842,0.0005905089,0.97965205,0.000429867,0.00078633084,0.000027618777,0.016279459,0.00011054645,0.000087810964,0.0000023400066,0.0005587618,0.0004970048],"study_design_scores_gemma":[0.0053600743,0.0011448293,0.989048,0.001206612,0.00015863444,0.0000045016036,0.0026017667,0.000008513497,0.00019723365,0.0000012361963,0.000043484568,0.00022512382],"about_ca_topic_score_codex":0.016905785,"about_ca_topic_score_gemma":0.047993332,"teacher_disagreement_score":0.03108755,"about_ca_system_score_codex":0.0013930594,"about_ca_system_score_gemma":0.00021000295,"threshold_uncertainty_score":0.9896407},"labels":[],"label_agreement":null},{"id":"W4403758188","doi":"10.2196/53443","title":"Development of an Educational Website for Patients With Cancer and Preexisting Autoimmune Diseases Considering Immune Checkpoint Blockers: Usability and Acceptability Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Usability; Cancer; Immune checkpoint; Immune system; Medicine; Computer science; Immunology; Immunotherapy; Internal medicine; Human–computer interaction","score_opus":0.02194450951102862,"score_gpt":0.3393978026661669,"score_spread":0.3174532931551383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403758188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914746,0.005820328,0.0000069815255,0.0003902045,0.00016113916,0.0019692725,0.00012922767,0.000035900535,0.000012303662],"genre_scores_gemma":[0.99595237,0.00004740674,0.0024068097,0.00002746583,0.00006377803,0.0013696243,0.00003373802,0.000021764617,0.0000770411],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998803,0.000021497435,0.00040358026,0.0004007244,0.00019999218,0.00017119176],"domain_scores_gemma":[0.99938446,0.00009495187,0.00009827856,0.00019810059,0.00014353982,0.000080666054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020605352,0.0001675552,0.00029962495,0.000056756497,0.00012244088,0.000040439674,0.000044237542,0.000035987156,0.00027281317],"category_scores_gemma":[0.000030760675,0.0001272618,0.00004480038,0.00013736669,0.00018784325,0.0001582518,0.000045442204,0.00007922178,1.309554e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002352983,0.00081877474,0.862255,0.0012471789,0.0004305385,5.6272216e-7,0.004964958,0.0000016604237,0.0026281944,0.0000030135652,0.000020082092,0.12527706],"study_design_scores_gemma":[0.0027405743,0.00038966865,0.9917594,0.00045067136,0.00014766284,0.0000015700988,0.0009027777,0.00014302623,0.0009869742,0.0000168047,0.0023003994,0.00016046257],"about_ca_topic_score_codex":0.0005365981,"about_ca_topic_score_gemma":0.0005689394,"teacher_disagreement_score":0.12950441,"about_ca_system_score_codex":0.00026980165,"about_ca_system_score_gemma":0.0007723827,"threshold_uncertainty_score":0.5189585},"labels":[],"label_agreement":null},{"id":"W4403800252","doi":"10.2196/55300","title":"Evaluating Online Cannabis Health Information for Thai Breast Cancer Survivors Using the Quality Evaluation Scoring Tool (QUEST): Mixed Method Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Breast cancer; Cannabis; Quality (philosophy); Medicine; Cancer; Psychology; Computer science; Psychiatry; World Wide Web","score_opus":0.189541196969542,"score_gpt":0.5758745254983305,"score_spread":0.38633332852878854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403800252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9493724,0.003061639,0.0020326246,0.035076696,0.0015328147,0.008026214,0.0007469646,0.00012107967,0.000029536019],"genre_scores_gemma":[0.97978395,0.00021833845,0.0016634839,0.0020465923,0.0022699707,0.011324609,0.0002535757,0.00010545918,0.0023340073],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9956776,0.0007626979,0.0008480734,0.00046195032,0.0016679286,0.0005817662],"domain_scores_gemma":[0.99780273,0.00007698267,0.00025596804,0.000470878,0.001230101,0.00016333353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009012141,0.0002645383,0.00046161716,0.00024384116,0.00042388696,0.00023284362,0.00016840448,0.00009013975,0.00032467945],"category_scores_gemma":[0.0002890195,0.00018345016,0.00019304185,0.00084226247,0.000055867305,0.0005090708,0.000091387556,0.00045009298,0.0000027660665],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000594375,0.0002611943,0.011804518,0.0018156433,0.00029291917,0.0000015286251,0.011012657,0.008351869,0.001403353,0.00009361877,0.011416889,0.95295143],"study_design_scores_gemma":[0.0032682284,0.0006384714,0.3976107,0.001089094,0.00045164026,0.00003496193,0.010636748,0.5634297,0.00025692667,0.00009308908,0.022041913,0.0004485002],"about_ca_topic_score_codex":0.057845585,"about_ca_topic_score_gemma":0.023739504,"teacher_disagreement_score":0.9525029,"about_ca_system_score_codex":0.0024713445,"about_ca_system_score_gemma":0.00503447,"threshold_uncertainty_score":0.9940747},"labels":[],"label_agreement":null},{"id":"W4403860090","doi":"10.2196/57347","title":"Engagement With Daily Symptom Reporting, Passive Smartphone Sensing, and Wearable Device Data Collection During Chemotherapy: Longitudinal Observational Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Cancer Institute","keywords":"Preprint; Wearable computer; Wearable technology; Data collection; Computer science; Medicine; Internet privacy; Psychology; Embedded system; World Wide Web; Sociology","score_opus":0.11794055989009501,"score_gpt":0.376257723647981,"score_spread":0.258317163757886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403860090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99446654,0.0019870317,0.00013095411,0.001510714,0.00046288915,0.0008604806,0.000019803168,0.0001333215,0.00042828466],"genre_scores_gemma":[0.993963,0.0002392906,0.00014483057,0.00027091187,0.0004951625,0.00015881775,0.000048282385,0.000042183558,0.004637546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99833727,0.00004008646,0.00036727916,0.00062225666,0.0004190415,0.00021406985],"domain_scores_gemma":[0.9990782,0.000040974377,0.00019852494,0.00044009322,0.00015471686,0.000087481465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033999863,0.00017730435,0.00026907632,0.00008960633,0.00021694202,0.00011226148,0.00006310939,0.000047384034,0.00024034477],"category_scores_gemma":[0.000032167867,0.00014463913,0.00002926421,0.00047794826,0.000039310136,0.00019476622,0.000085324034,0.00026507824,0.000003816003],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074514665,0.00017407305,0.9633079,0.0007174284,0.00078285433,0.00050033035,0.0070514604,0.000019453388,0.0018277457,0.0000056442955,0.0077439942,0.017123932],"study_design_scores_gemma":[0.001592894,0.00028563186,0.9679383,0.0008921418,0.0002456837,0.00015040087,0.0023573085,0.0013163714,0.0007229732,0.0000048078878,0.024277713,0.00021577385],"about_ca_topic_score_codex":0.004193385,"about_ca_topic_score_gemma":0.014377175,"teacher_disagreement_score":0.016908158,"about_ca_system_score_codex":0.00030231994,"about_ca_system_score_gemma":0.00047538473,"threshold_uncertainty_score":0.8022801},"labels":[],"label_agreement":null},{"id":"W4403866960","doi":"10.2196/60653","title":"User and Developer Views on Using AI Technologies to Facilitate the Early Detection of Skin Cancers in Primary Care Settings: Qualitative Semistructured Interview Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council; British Association of Dermatologists; National Health and Medical Research Council; Cancer Research UK; Barts Charity","keywords":"Preprint; Primary care; Computer science; Human–computer interaction; World Wide Web; Artificial intelligence; Medicine; Multimedia; Family medicine","score_opus":0.05211173444603863,"score_gpt":0.3612113078325363,"score_spread":0.3090995733864977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403866960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940499,0.002582721,0.0001601274,0.0010101205,0.00021528633,0.001672875,0.00002001298,0.00008375498,0.00020521037],"genre_scores_gemma":[0.9983756,0.00008799676,0.00008698601,0.0005086633,0.000021042031,0.00039923424,0.0000013507787,0.000015355403,0.00050379045],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99907583,0.000096057236,0.00024218143,0.00028376465,0.00017106721,0.00013110085],"domain_scores_gemma":[0.99965787,0.00003793665,0.000043397486,0.00017146717,0.000065748936,0.00002359083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020904063,0.00013713326,0.00023649585,0.00018782057,0.0000430564,0.00002659486,0.000060316772,0.000049095393,0.000015775371],"category_scores_gemma":[0.000023667995,0.0000904031,0.000039252012,0.00043218443,0.00005020904,0.000041356627,0.00007070537,0.00021667455,0.0000025597071],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047342264,0.000040100822,0.0011124819,0.0023926578,0.0002596105,0.00005592499,0.3299142,0.00021741884,0.023338675,0.000010228544,0.00056389585,0.64162135],"study_design_scores_gemma":[0.0026699982,0.0030088262,0.0928076,0.0072492827,0.00037507608,0.00007934818,0.63640493,0.0004953959,0.03300291,0.000111805886,0.22298263,0.0008121765],"about_ca_topic_score_codex":0.0012581011,"about_ca_topic_score_gemma":0.0036765314,"teacher_disagreement_score":0.6408092,"about_ca_system_score_codex":0.0008892146,"about_ca_system_score_gemma":0.00008944412,"threshold_uncertainty_score":0.36865312},"labels":[],"label_agreement":null},{"id":"W4403912260","doi":"10.2196/50662","title":"The Effect of Nutritional Mobile Apps on Populations With Cancer: Systematic Review","year":2024,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Computer science; World Wide Web","score_opus":0.08100159096207218,"score_gpt":0.5466474336750944,"score_spread":0.46564584271302223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403912260","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[7.485391e-7,0.93520045,0.0000032120859,0.0006878674,0.0008777596,0.060963903,0.0013702475,0.00009887908,0.00079696125],"genre_scores_gemma":[0.0000016333279,0.5615976,0.0000064134983,0.00037138927,0.0003657551,0.4355235,0.00017086763,0.00006310511,0.0018997503],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946107,0.0014571567,0.0021783283,0.000541864,0.0005550478,0.00065689435],"domain_scores_gemma":[0.99463147,0.002199779,0.001636645,0.0010338533,0.0002159368,0.0002823458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012489187,0.0005215811,0.003109938,0.0001566505,0.0009899413,0.000011500689,0.00043856486,0.00035762382,0.00037202798],"category_scores_gemma":[0.00009943479,0.00024416408,0.0004549188,0.0009765015,0.00009189753,0.000032833457,0.00006443862,0.0014811171,0.00054491323],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015522779,0.000017673554,0.000008100345,0.8447958,0.000103239036,6.842926e-7,0.000015383483,0.000001004717,4.3375805e-9,0.0018452709,0.07444241,0.07875491],"study_design_scores_gemma":[0.00011804,0.00011088751,0.00000120078,0.48171592,0.0018614503,0.0000019263462,0.0000059679987,0.0000015706464,1.3907514e-8,0.000014635525,0.51606566,0.00010269045],"about_ca_topic_score_codex":0.00030075284,"about_ca_topic_score_gemma":0.0005462675,"teacher_disagreement_score":0.44162327,"about_ca_system_score_codex":0.0009966708,"about_ca_system_score_gemma":0.0028812087,"threshold_uncertainty_score":0.99567217},"labels":[],"label_agreement":null},{"id":"W4404055757","doi":"10.2196/57715","title":"Identifying Complex Scheduling Patterns Among Patients With Cancer With Transportation and Housing Needs: Feasibility Pilot Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Preprint; Gerontology; Computer science; Medicine; World Wide Web","score_opus":0.1366678456390704,"score_gpt":0.44515006046804273,"score_spread":0.3084822148289723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404055757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98770505,0.00019985423,0.0080938805,0.00033299363,0.00033879658,0.0029711921,0.00016005464,0.00017023705,0.000027928068],"genre_scores_gemma":[0.996859,0.0000712795,0.0011601613,0.00016811816,0.00017222457,0.0012938953,0.00012240442,0.000060469094,0.00009244547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99824035,0.00020194692,0.0004384712,0.0004349911,0.00033196926,0.00035228545],"domain_scores_gemma":[0.99911517,0.00006219791,0.0001275582,0.00019521665,0.00036339482,0.00013643957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002894169,0.00020235598,0.00025103084,0.00016105361,0.00086951756,0.00010706749,0.000063043575,0.00006534443,0.00031738612],"category_scores_gemma":[0.0000075292405,0.00014918244,0.000015967827,0.00050650345,0.00004781208,0.00049307063,0.000012991893,0.00046845266,0.0000033424112],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016972508,0.00015526415,0.978814,0.00066936406,0.000055000663,0.000003825665,0.013830801,0.004786345,0.00002494132,0.00002502303,0.00001667584,0.0014490115],"study_design_scores_gemma":[0.0013310375,0.00044362727,0.9830092,0.0016381877,0.00007321456,8.491279e-8,0.0066410974,0.00660395,0.000002197893,0.000004586072,0.000048231745,0.00020456762],"about_ca_topic_score_codex":0.01122645,"about_ca_topic_score_gemma":0.07481347,"teacher_disagreement_score":0.06358702,"about_ca_system_score_codex":0.00035156644,"about_ca_system_score_gemma":0.00045587964,"threshold_uncertainty_score":0.9953579},"labels":[],"label_agreement":null},{"id":"W4404677126","doi":"10.2196/57964","title":"Experiences of a Digital Behavior Change Intervention to Prevent Weight Gain and Promote Risk-Reducing Health Behaviors for Women Aged 18 to 35 Years at Increased Risk of Breast Cancer: Qualitative Interview Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intervention (counseling); Breast cancer; Qualitative research; Environmental health; Health risk; Gerontology; Health behavior; Behavior change; Medicine; Psychology; Cancer; Social psychology; Nursing; Sociology; Internal medicine","score_opus":0.051541041983157856,"score_gpt":0.4251959370163855,"score_spread":0.37365489503322763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404677126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98712265,0.003750606,0.00004269469,0.00018941988,0.0004123466,0.0057006045,0.0027420279,0.000035784647,0.0000038742205],"genre_scores_gemma":[0.9698373,0.00023275583,0.000029763212,0.000052748535,0.00012827238,0.029316416,0.000023504846,0.000037100977,0.00034212615],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9981498,0.00024885993,0.0005303881,0.00047059095,0.00031727957,0.000283062],"domain_scores_gemma":[0.99907243,0.000057224697,0.0002642552,0.00022072278,0.00010944402,0.00027591723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007993959,0.00019951582,0.00055543776,0.00021891322,0.00005322287,0.00003125175,0.0001014015,0.0000458394,0.00025115724],"category_scores_gemma":[0.000024928378,0.00017379037,0.00016468797,0.00040073728,0.00005781012,0.00014438918,0.000118865646,0.00012921107,0.000001060313],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006272692,0.0006611901,0.023028709,0.0011436759,0.00015360904,0.000005244422,0.6821071,6.1269435e-7,0.0002794427,6.527577e-7,0.00025172663,0.29174078],"study_design_scores_gemma":[0.0026268475,0.008060217,0.46837917,0.008700507,0.00060075725,0.000011953687,0.50783443,0.000032732387,0.0018832628,0.000015939548,0.0013786621,0.00047553916],"about_ca_topic_score_codex":0.026784815,"about_ca_topic_score_gemma":0.017479815,"teacher_disagreement_score":0.44535044,"about_ca_system_score_codex":0.00083646,"about_ca_system_score_gemma":0.0001604423,"threshold_uncertainty_score":0.9796959},"labels":[],"label_agreement":null},{"id":"W4404790164","doi":"10.2196/58938","title":"Exploring the Impact of the Multimodal CAPABLE eHealth Intervention on Health-Related Quality of Life in Patients With Melanoma Undergoing Immune-Checkpoint Inhibition: Prospective Pilot Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Università degli Studi di Pavia; European Commission","keywords":"eHealth; Preprint; Intervention (counseling); Medicine; Quality of life (healthcare); Immune checkpoint; Quality (philosophy); Immune system; Nursing; Immunotherapy; Health care; Computer science; World Wide Web; Political science; Immunology","score_opus":0.0732057766323589,"score_gpt":0.35908066612919726,"score_spread":0.28587488949683837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404790164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957483,0.00078238285,0.0000046633563,0.0005637223,0.00036360923,0.0023304103,0.000040963485,0.000027291804,0.00013866971],"genre_scores_gemma":[0.9992665,0.000030584444,0.0000016361435,0.00003420713,0.00004332875,0.0005485509,0.0000074320055,0.00002424916,0.00004349155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817014,0.00028067495,0.0006973575,0.00025068066,0.00040217763,0.00019899757],"domain_scores_gemma":[0.99909055,0.00009931899,0.0003062343,0.0003151251,0.0001304096,0.00005834738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006144994,0.00015097421,0.00041203963,0.000100334975,0.00006731735,0.000012262971,0.00006911331,0.000022749417,0.00005828874],"category_scores_gemma":[0.000045865985,0.00007924288,0.00015478123,0.0005939889,0.00006390205,0.00012286614,0.00004323023,0.0003685793,0.0000012568966],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042972662,0.0015157817,0.97051966,0.00094100594,0.0002827623,0.0000013934718,0.019551758,0.00046127915,0.0000865858,0.00007914665,0.000024437031,0.0022389048],"study_design_scores_gemma":[0.0038245486,0.007042678,0.9818211,0.0028482853,0.000021445649,4.420221e-7,0.003999768,0.00005237071,0.00026885155,0.00004176247,0.0000017802062,0.00007692438],"about_ca_topic_score_codex":0.1251697,"about_ca_topic_score_gemma":0.05740618,"teacher_disagreement_score":0.067763515,"about_ca_system_score_codex":0.0012152847,"about_ca_system_score_gemma":0.00061524444,"threshold_uncertainty_score":0.9597937},"labels":[],"label_agreement":null},{"id":"W4404839016","doi":"10.2196/60034","title":"Usability and Implementation Considerations of Fitbit and App Intervention for Diverse Cancer Survivors: Mixed Methods Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Medicine; Pedometer; Usability; Descriptive statistics; Activity tracker; Intervention (counseling); Physical therapy; mHealth; Breast cancer; Family medicine; Gerontology; Psychological intervention; Cancer; Physical activity; Nursing","score_opus":0.05463829786232104,"score_gpt":0.48182022547717596,"score_spread":0.4271819276148549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404839016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99005085,0.0049349223,0.0014255416,0.0006762923,0.0007762677,0.0017437778,0.0003169234,0.000040059655,0.000035336067],"genre_scores_gemma":[0.99726015,0.00020688634,0.0004499878,0.00006995344,0.00012366551,0.0016597492,0.000021851045,0.000013747284,0.00019398006],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991206,0.00010504003,0.00026685922,0.00028081884,0.00011579359,0.000110916895],"domain_scores_gemma":[0.99942434,0.00020233876,0.000056460434,0.00011994408,0.00013897027,0.000057967885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004752344,0.0001030026,0.00022830177,0.00007643492,0.000060524966,0.000035672623,0.000018040015,0.00004086816,0.00054964353],"category_scores_gemma":[0.000030205398,0.000090765745,0.00007353352,0.00012494173,0.00006722563,0.00011239742,0.000038500646,0.000071616596,2.6733767e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031191058,0.00023024749,0.2910168,0.0027460943,0.00049505883,0.0000037119075,0.022588672,0.000004554727,0.0031247241,0.0006322696,0.0030994234,0.67574656],"study_design_scores_gemma":[0.006439547,0.0017630131,0.8535792,0.0008271401,0.001602422,0.000012153038,0.08382464,0.0012895467,0.011444776,0.0022773587,0.036464732,0.00047541808],"about_ca_topic_score_codex":0.01956612,"about_ca_topic_score_gemma":0.1714484,"teacher_disagreement_score":0.67527115,"about_ca_system_score_codex":0.00010694659,"about_ca_system_score_gemma":0.0000970263,"threshold_uncertainty_score":0.9869627},"labels":[],"label_agreement":null},{"id":"W4404845840","doi":"10.2196/52886","title":"Exploring the Social Media Discussion of Breast Cancer Treatment Choices: Quantitative Natural Language Processing Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of California, San Francisco; American Society of Clinical Oncology; Conquer Cancer Foundation","keywords":"Preprint; Natural (archaeology); Social media; Breast cancer; Process (computing); Computer science; Cancer; Medicine; World Wide Web; History","score_opus":0.24132270643598885,"score_gpt":0.5094616479151082,"score_spread":0.2681389414791193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404845840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97404,0.0063899206,8.4865286e-7,0.01044881,0.0073654014,0.0014613576,0.000048453312,0.000089493966,0.00015572945],"genre_scores_gemma":[0.98767984,0.00049325696,0.000012755729,0.00002963295,0.0036465426,0.007968425,0.000003309986,0.000019192556,0.0001470165],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9985481,0.00024489805,0.00020900613,0.00023153405,0.0004893742,0.0002771056],"domain_scores_gemma":[0.9989442,0.0006944639,0.00010997434,0.00007752544,0.00011111813,0.000062704596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032085762,0.00011827963,0.00017884112,0.00007072098,0.00063578866,0.00008368259,0.0001635973,0.000040259183,0.00013417308],"category_scores_gemma":[0.00014091986,0.00006306691,0.00006280183,0.0007093852,0.00021490038,0.00043399894,0.000019679643,0.00016237648,0.000005503282],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020371355,0.00007235398,0.0059540095,0.000056803976,0.000024496778,0.0000010560469,0.6373418,0.0000012197535,0.000052246847,0.00015796935,0.0000727832,0.3562449],"study_design_scores_gemma":[0.00022878553,0.000040164832,0.39080426,0.00034582964,0.00007342438,1.5979384e-7,0.6009624,0.00007279969,0.000045722667,0.000031142332,0.0072563468,0.00013894358],"about_ca_topic_score_codex":0.032796293,"about_ca_topic_score_gemma":0.072696365,"teacher_disagreement_score":0.38485026,"about_ca_system_score_codex":0.0009827602,"about_ca_system_score_gemma":0.0010643429,"threshold_uncertainty_score":0.9736444},"labels":[],"label_agreement":null},{"id":"W4404912713","doi":"10.2196/47856","title":"Relationship Between Perceived COVID-19 Risk and Change in Perceived Breast Cancer Risk: Prospective Observational Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences","keywords":"Breast cancer; Risk perception; Anxiety; Medicine; Observational study; Prospective cohort study; Cancer; Internal medicine; Perception; Psychology; Psychiatry","score_opus":0.25114642451776054,"score_gpt":0.48721231567126,"score_spread":0.23606589115349946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404912713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97256535,0.0021276008,0.000011880965,0.020505296,0.00020087736,0.0032023329,0.0011902963,0.00015073117,0.000045614084],"genre_scores_gemma":[0.9930945,0.00078268826,0.000026692163,0.0020446694,0.0013110886,0.0022860486,0.000043051903,0.000045108452,0.00036613934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980344,0.00020244301,0.0003585529,0.0006151191,0.0004161397,0.00037333983],"domain_scores_gemma":[0.9983485,0.00069728895,0.00010456361,0.00023629343,0.00014277616,0.00047059768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047391237,0.0002443283,0.0004106303,0.00032168272,0.00024899252,0.000058377733,0.000072939285,0.00016225119,0.0005759721],"category_scores_gemma":[0.00042854907,0.00020964698,0.000070834496,0.0006921648,0.000089828776,0.00027760054,0.00004860275,0.00081838766,0.000019404733],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028059023,0.00010738519,0.94641125,0.00049014686,0.00007653476,0.000042478183,0.04511619,0.000012863019,0.000010611255,0.000027975957,0.0006725697,0.0067514214],"study_design_scores_gemma":[0.0022177962,0.00023250605,0.99310577,0.00036912796,0.00023236143,0.000010092955,0.0012297372,0.00035359667,3.7679948e-7,0.00030012336,0.0017306382,0.00021786914],"about_ca_topic_score_codex":0.09580662,"about_ca_topic_score_gemma":0.047167137,"teacher_disagreement_score":0.048639484,"about_ca_system_score_codex":0.0023976774,"about_ca_system_score_gemma":0.0019563583,"threshold_uncertainty_score":0.97021955},"labels":[],"label_agreement":null},{"id":"W4404994159","doi":"10.2196/66269","title":"Interpretable Machine Learning to Predict the Malignancy Risk of Follicular Thyroid Neoplasms in Extremely Unbalanced Data: Retrospective Cohort Study and Literature Review","year":2024,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Malignancy; Thyroid; Follicular phase; Thyroid tumors; Medicine; Computer science; Internal medicine; Thyroid cancer; World Wide Web","score_opus":0.022706556679793866,"score_gpt":0.3562469110381706,"score_spread":0.3335403543583767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404994159","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008222795,0.98592997,0.0000018317219,0.00021846486,0.00030250938,0.010670485,0.0018236355,0.000049780105,0.00018107245],"genre_scores_gemma":[0.0022943197,0.98861575,0.000027177368,0.00013509134,0.00022013547,0.0071971687,0.00043392574,0.00010211341,0.00097432185],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99650484,0.00036466646,0.00093661115,0.0012787974,0.00055274955,0.00036231126],"domain_scores_gemma":[0.99768704,0.000121464414,0.00050158444,0.0014200023,0.00012624072,0.00014368263],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008414477,0.0006786387,0.0032356738,0.00021658243,0.00006788043,0.000070857175,0.00041793022,0.00018187729,0.00008563489],"category_scores_gemma":[0.00016074015,0.0003669257,0.00034203543,0.0013824775,0.000051619656,0.00011429006,0.00050089444,0.0013066216,0.000010967788],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019481614,0.00087349664,0.33441386,0.09691191,0.006705678,0.00088674,0.0019886198,0.000006015282,0.0000013019628,0.000017007165,0.027746968,0.5302536],"study_design_scores_gemma":[0.00093658967,0.0009728489,0.017463261,0.34252867,0.012230887,0.00007955931,0.00004849852,0.00003516558,5.751942e-7,0.00000619421,0.625346,0.0003517598],"about_ca_topic_score_codex":0.00068780506,"about_ca_topic_score_gemma":0.00086138304,"teacher_disagreement_score":0.597599,"about_ca_system_score_codex":0.0006395813,"about_ca_system_score_gemma":0.00031921765,"threshold_uncertainty_score":0.9998783},"labels":[],"label_agreement":null},{"id":"W4405015062","doi":"10.2196/62711","title":"Design and Use of Patient-Facing Electronic Patient-Reported Outcomes and Sensor Data Visualizations During Outpatient Chemotherapy","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Preprint; Medicine; Patient data; Computer science; Internet privacy; World Wide Web","score_opus":0.038363878122738,"score_gpt":0.336874802186862,"score_spread":0.298510924064124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405015062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99378717,0.0040399167,0.00072236615,0.00032655118,0.00021579897,0.00074323034,0.00007665903,0.00007488145,0.000013424862],"genre_scores_gemma":[0.99791086,0.0011814401,0.00016856789,0.0002705607,0.000033943397,0.00010307847,0.0000574044,0.000039017446,0.00023510479],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883175,0.000037064594,0.0003008593,0.00038018174,0.00022537759,0.00022476664],"domain_scores_gemma":[0.9992983,0.000074137446,0.00008891447,0.00037408815,0.000080878286,0.00008371179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000058175607,0.00015543822,0.00025974755,0.000116003204,0.000053761585,0.00004603576,0.000039360955,0.000063226486,0.000070971015],"category_scores_gemma":[0.000028643259,0.00012898601,0.00003478432,0.00021494283,0.000049580492,0.00019679357,0.00006983559,0.00012868931,6.295802e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015356699,0.00043831757,0.7332146,0.002746541,0.0019495825,0.00013315801,0.046903808,0.00034882015,0.03243402,0.000186623,0.0026221434,0.17748667],"study_design_scores_gemma":[0.013456886,0.004686247,0.50170803,0.006757684,0.0025593906,0.0004491173,0.009121849,0.04303367,0.12068308,0.00023053569,0.29424402,0.0030694662],"about_ca_topic_score_codex":0.00056297344,"about_ca_topic_score_gemma":0.00030379015,"teacher_disagreement_score":0.29162186,"about_ca_system_score_codex":0.00011491307,"about_ca_system_score_gemma":0.0001573628,"threshold_uncertainty_score":0.52598965},"labels":[],"label_agreement":null},{"id":"W4405185206","doi":"10.2196/59478","title":"A Novel Telehealth Exercise Program Designed for Rural Survivors of Cancer With Cancer-Related Fatigue: Single-Arm Feasibility Trial","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of General Medical Sciences; National Cancer Institute","keywords":"Preprint; Telehealth; Gerontology; Cancer survivor; Medicine; Cancer; Physical therapy; Telemedicine; Health care; Computer science; World Wide Web; Political science","score_opus":0.0650255820976976,"score_gpt":0.38856475433178694,"score_spread":0.32353917223408935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405185206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9611434,0.017416926,0.0005244709,0.0018673178,0.0033630212,0.013813231,0.0008594364,0.000674097,0.0003381429],"genre_scores_gemma":[0.9788239,0.0009375063,0.00057058653,0.00014851386,0.00059589173,0.017374076,0.00008478046,0.00013798937,0.001326762],"study_design_codex":"design_other","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99707896,0.000065348235,0.0007319587,0.0007493548,0.000653237,0.0007211588],"domain_scores_gemma":[0.9982061,0.00015041693,0.00026034482,0.0005139352,0.0005315876,0.00033764754],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004236249,0.00045606456,0.00097013556,0.00020016544,0.00010902442,0.0000657498,0.00019158788,0.00028143523,0.0005448524],"category_scores_gemma":[0.000024984549,0.0003477104,0.00036397937,0.0011509034,0.00021022504,0.00016840674,0.000034681634,0.0003814392,0.000001709435],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.13029724,0.005991412,0.023899611,0.013499542,0.0016282472,0.000031900316,0.012582522,0.00022611271,0.01533364,0.00020121352,0.0041038576,0.7922047],"study_design_scores_gemma":[0.44109136,0.082801834,0.089037605,0.05632066,0.01327538,0.00010363835,0.009848089,0.011561611,0.06288655,0.00059215137,0.22515877,0.0073223505],"about_ca_topic_score_codex":0.046766564,"about_ca_topic_score_gemma":0.093555965,"teacher_disagreement_score":0.78488237,"about_ca_system_score_codex":0.0013367017,"about_ca_system_score_gemma":0.0026883795,"threshold_uncertainty_score":0.9998975},"labels":[],"label_agreement":null},{"id":"W4405344227","doi":"10.2196/64145","title":"Development and Implementation of a Personal Virtual Assistant for Patient Engagement and Communication in Postsurgical Cancer Care: Feasibility Cohort Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Preprint; Exploratory research; Psychology; Medical education; Medicine; Computer science; World Wide Web; Sociology","score_opus":0.06626335901175782,"score_gpt":0.42684432457723054,"score_spread":0.3605809655654727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405344227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930961,0.0035763923,0.000034502493,0.0006062428,0.000053282674,0.0025290211,0.0000337252,0.00001195406,0.000058795933],"genre_scores_gemma":[0.99553806,0.00031262287,0.00033537837,0.00011304685,0.000015384574,0.0035740584,0.000032460903,0.0000065718486,0.00007243067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910843,0.000051553037,0.00028297646,0.00023513581,0.00022502162,0.00009686074],"domain_scores_gemma":[0.9996383,0.00004738409,0.000057833444,0.00011094627,0.000090804184,0.000054700977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030364958,0.00008040122,0.00016837235,0.00005098569,0.000049705774,0.000013451617,0.000030951353,0.000025386562,0.00023824496],"category_scores_gemma":[0.000007948367,0.000067224035,0.00001756244,0.000101412166,0.000042225838,0.00004456539,0.00004022326,0.00009443524,8.5497413e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016611464,0.00015539667,0.8257214,0.00034580994,0.000072578325,0.0000019503182,0.031184642,5.223717e-7,0.000322114,0.00011748705,0.0003705674,0.14154145],"study_design_scores_gemma":[0.0013584999,0.00028497897,0.9617127,0.00030190777,0.000047342663,0.0000011976875,0.026059521,0.0001964366,0.00033700667,0.0000058045,0.009621433,0.00007317441],"about_ca_topic_score_codex":0.00037338855,"about_ca_topic_score_gemma":0.0011030291,"teacher_disagreement_score":0.14146827,"about_ca_system_score_codex":0.00031777477,"about_ca_system_score_gemma":0.0003671837,"threshold_uncertainty_score":0.27413166},"labels":[],"label_agreement":null},{"id":"W4405592009","doi":"10.2196/51536","title":"Demographics and Health Characteristics Associated With the Likelihood of Participating in Digitally Delivered Exercise Rehabilitation for Improving Heart Health Among Breast Cancer Survivors: Cross-Sectional Survey Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Rehabilitation; Breast cancer; Physical therapy; Logistic regression; Odds; Descriptive statistics; Intervention (counseling); Cross-sectional study; Gerontology; Cancer; Internal medicine; Nursing","score_opus":0.02939256187203034,"score_gpt":0.36315256191700435,"score_spread":0.333760000044974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405592009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924841,0.001804054,0.00005910696,0.0014529737,0.0002972778,0.0023391484,0.0015089376,0.00005238682,0.0000020201603],"genre_scores_gemma":[0.99647796,0.00010073113,0.0000140053,0.00022929179,0.00010521232,0.0028946553,0.00010749209,0.000044461947,0.00002618122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99800414,0.00018669016,0.0005819472,0.00043495427,0.0003850026,0.0004072592],"domain_scores_gemma":[0.99844265,0.00048965245,0.00026571238,0.00018571116,0.0004693498,0.00014692826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021484443,0.0001943933,0.00050110236,0.00013989568,0.00016176104,0.00010819724,0.00006388072,0.00007574525,0.000013444207],"category_scores_gemma":[0.00008920219,0.00014411588,0.00007902351,0.0006938316,0.00014884617,0.00018076495,0.000033307773,0.000268282,1.0894671e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005254766,0.00022842246,0.9793552,0.0009942632,0.00008304528,0.0000010596697,0.00705975,0.000029192923,0.000010995273,0.0000027691542,0.000103806095,0.011605996],"study_design_scores_gemma":[0.0010269389,0.00093887973,0.9938317,0.0010828131,0.000032511867,0.0000018098059,0.0016170874,0.0012903214,0.0000021931608,0.0000061178343,0.000032549433,0.00013706705],"about_ca_topic_score_codex":0.09376689,"about_ca_topic_score_gemma":0.5590419,"teacher_disagreement_score":0.46527502,"about_ca_system_score_codex":0.0005137254,"about_ca_system_score_gemma":0.0011116507,"threshold_uncertainty_score":0.9122678},"labels":[],"label_agreement":null},{"id":"W4405677850","doi":"10.2196/48627","title":"Retracted: Designing Positive Psychology Interventions for Social Media: Cross-Sectional Web-Based Experiment With Young Adults With Cancer","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":1,"is_retracted":true,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; National Institute of Environmental Health Sciences; National Cancer Institute; National Institutes of Health; American Cancer Society","keywords":"Psychosocial; Psychological intervention; Social media; Young adult; Intervention (counseling); Psychology; Positive psychology; Social support; Clinical psychology; Developmental psychology; Social psychology; Psychotherapist; Psychiatry; World Wide Web","score_opus":0.06252514422581273,"score_gpt":0.43867212830413305,"score_spread":0.3761469840783203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405677850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9704241,0.0057512904,0.008078261,0.0083221,0.0026037027,0.0024321799,0.001110967,0.00043878783,0.00083859096],"genre_scores_gemma":[0.9886958,0.00005431594,0.0014669126,0.0013820205,0.0024724414,0.0052367095,0.0002068793,0.00010186166,0.00038306543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977213,0.00007305503,0.00045604538,0.00072492,0.00059034774,0.0004343031],"domain_scores_gemma":[0.9988464,0.0002261274,0.0001663939,0.00020304882,0.00039486622,0.00016317297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029505257,0.00029962705,0.00043541245,0.0002039053,0.00023631893,0.000099160614,0.00011473184,0.00023108693,0.0008940481],"category_scores_gemma":[0.00003098425,0.00024211635,0.00027871467,0.0003858637,0.00026915342,0.00017521797,0.000018877614,0.0005252612,0.000008689878],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.06738131,0.00338736,0.70545936,0.012019712,0.0073014977,0.00054451515,0.06793084,0.00042389065,0.01785347,0.001351715,0.09475391,0.021592442],"study_design_scores_gemma":[0.014421076,0.002088903,0.95960486,0.009199719,0.00044432445,0.00010353625,0.0013395484,0.00050422264,0.005715835,0.00004950587,0.005767702,0.000760773],"about_ca_topic_score_codex":0.0006339098,"about_ca_topic_score_gemma":0.0063953395,"teacher_disagreement_score":0.2541455,"about_ca_system_score_codex":0.0006869954,"about_ca_system_score_gemma":0.0010259865,"threshold_uncertainty_score":0.98732185},"labels":[],"label_agreement":null},{"id":"W4405703181","doi":"10.2196/50124","title":"Barriers and Facilitators to the Preadoption of a Computer-Aided Diagnosis Tool for Cervical Cancer: Qualitative Study on Health Care Providers’ Perspectives in Western Cameroon","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Qualitative research; Cervical cancer; Health care; Medicine; Nursing; Cancer; Political science; Computer science; Sociology; World Wide Web","score_opus":0.059139585361709275,"score_gpt":0.46629446734846736,"score_spread":0.4071548819867581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405703181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96370035,0.007909607,0.00012310926,0.021893108,0.00014075346,0.005717211,0.00045474424,0.000032981152,0.000028104821],"genre_scores_gemma":[0.99046606,0.00038097912,0.000041875563,0.0007307082,0.00019963707,0.008087268,0.0000068226905,0.000023351926,0.00006328675],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9983043,0.00021262678,0.00029050178,0.0004926274,0.00040225414,0.00029769074],"domain_scores_gemma":[0.9989696,0.00040566028,0.00003812187,0.00019376993,0.00020000752,0.0001927968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035565,0.00016464072,0.00039835312,0.00017496184,0.000077502504,0.000042271295,0.00008894732,0.00004996477,0.00013506725],"category_scores_gemma":[0.00006844888,0.00011219209,0.00008248033,0.00039200424,0.000093685085,0.00007233076,0.000055131528,0.00025310885,0.0000019438785],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015292161,0.00014485266,0.08026909,0.0019073935,0.00014873162,0.000004430423,0.75484407,0.00008343729,0.0000099089675,0.000092334485,0.0025561368,0.1584104],"study_design_scores_gemma":[0.0024860152,0.0063478276,0.4947989,0.00065543357,0.000057357953,7.9536983e-7,0.48844913,0.00029245391,0.000086267275,0.00003157634,0.006598126,0.00019612745],"about_ca_topic_score_codex":0.008211797,"about_ca_topic_score_gemma":0.018159565,"teacher_disagreement_score":0.4145298,"about_ca_system_score_codex":0.0010135098,"about_ca_system_score_gemma":0.0006325891,"threshold_uncertainty_score":0.99975646},"labels":[],"label_agreement":null},{"id":"W4405851953","doi":"10.2196/58093","title":"Changes in Physical Activity Across Cancer Diagnosis and Treatment Based on Smartphone Step Count Data Linked to a Japanese Claims Database: Retrospective Cohort Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Lifelog; Database; Computer science; World Wide Web; Operating system","score_opus":0.056104425898616424,"score_gpt":0.40129328525780944,"score_spread":0.345188859359193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405851953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846878,0.0008582932,0.0000035929029,0.0036657788,0.00074313703,0.0034595951,0.0064064832,0.00010232591,0.000072997296],"genre_scores_gemma":[0.98079973,0.0009396327,0.0000047742533,0.0005940863,0.00092344737,0.015974706,0.00019541575,0.00005959409,0.00050863257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974999,0.000086589615,0.00014654984,0.0012181572,0.0006097872,0.00043906033],"domain_scores_gemma":[0.9984089,0.00016833465,0.000043808945,0.0010673872,0.00007986514,0.00023167155],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002659058,0.0003615787,0.0006846033,0.00013138072,0.000082578685,0.00008993215,0.00016201682,0.000086175554,0.00024932672],"category_scores_gemma":[0.000022576553,0.00028119507,0.000057257683,0.0006947425,0.00007162349,0.00015216762,0.00017970057,0.00033508625,0.000012806363],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016376205,0.0019956643,0.91237533,0.00022254478,0.00029274717,0.00024073683,0.012374376,0.000015118583,0.00044862556,0.000001690898,0.0036213296,0.0667742],"study_design_scores_gemma":[0.0022869958,0.0014953631,0.97284263,0.0007664594,0.0002393558,0.0000016457634,0.0015365406,0.0036184597,0.00044348763,6.762156e-7,0.01645807,0.00031033476],"about_ca_topic_score_codex":0.061590303,"about_ca_topic_score_gemma":0.5135088,"teacher_disagreement_score":0.4519185,"about_ca_system_score_codex":0.002254672,"about_ca_system_score_gemma":0.00029975362,"threshold_uncertainty_score":0.999964},"labels":[],"label_agreement":null},{"id":"W4405892317","doi":"10.2196/60870","title":"Development and internal validation of a nomogram for predicting financial toxicity in patients with Lung cancer (Preprint)","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nomogram; Preprint; Lung cancer; Medicine; Oncology; Computer science","score_opus":0.015398997026619947,"score_gpt":0.25954621765463076,"score_spread":0.2441472206280108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405892317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937046,0.0018589152,0.0022294123,0.0000997969,0.00043617308,0.0006993343,0.00026268009,0.000020847772,0.000688238],"genre_scores_gemma":[0.99803245,0.000103072685,0.00076040305,0.00006968955,0.00013802937,0.0006850904,0.0000098150795,0.000021942822,0.00017951429],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889076,0.0000032785276,0.00049500936,0.00035564197,0.00003270256,0.00022259352],"domain_scores_gemma":[0.99958783,0.000022387372,0.00020239949,0.00009601082,0.000042721826,0.00004866166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021733432,0.00013099548,0.0002962157,0.00016919678,0.00003866371,0.000052703483,0.000089732595,0.00007873001,0.00009949471],"category_scores_gemma":[0.000032994354,0.00013544114,0.000043431737,0.00013557643,0.000037446083,0.00031281373,0.000041187093,0.00011060675,0.00000232352],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015179889,0.000058669502,0.9550966,0.00031887964,0.000052627984,4.28912e-7,0.00183499,0.00030710516,0.000008333026,0.004029224,0.00031560537,0.03782576],"study_design_scores_gemma":[0.0013460326,0.00009504371,0.972998,0.0005551032,0.000008929305,2.0305853e-7,0.000021462796,0.0033160849,0.0009627159,0.00073642324,0.019698692,0.00026126704],"about_ca_topic_score_codex":0.00054680475,"about_ca_topic_score_gemma":0.000642535,"teacher_disagreement_score":0.037564494,"about_ca_system_score_codex":0.00038501676,"about_ca_system_score_gemma":0.00016081249,"threshold_uncertainty_score":0.5523129},"labels":[],"label_agreement":null},{"id":"W4405905688","doi":"10.2196/57414","title":"Analyzing Online Search Trends for Kidney, Prostate, and Bladder Cancers in China: Infodemiology Study Using Baidu Search Data (2011-2023)","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; China; Prostate cancer; Kidney cancer; Medicine; Urology; Computer science; Cancer; Geography; Internal medicine; World Wide Web; Archaeology","score_opus":0.0868996060981746,"score_gpt":0.4435907796276943,"score_spread":0.3566911735295197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405905688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98131967,0.005097092,0.0000855309,0.0018673012,0.00032570362,0.0016652447,0.009413632,0.00011259259,0.000113229704],"genre_scores_gemma":[0.9920583,0.000878723,0.0008565085,0.0004139382,0.00062059995,0.00041334247,0.0027836482,0.0000920507,0.0018828909],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99742925,0.0001578086,0.00045124575,0.0010008739,0.00031057055,0.00065022486],"domain_scores_gemma":[0.99851936,0.00013172826,0.000042972442,0.0008486339,0.00011010603,0.00034718224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008799651,0.0002662623,0.00059141393,0.00057259185,0.000083743595,0.0000613571,0.0003019958,0.00010228845,0.00047940822],"category_scores_gemma":[0.00012567398,0.00023063808,0.00005753019,0.0008309638,0.00016333367,0.00032795768,0.00047189163,0.0004886366,0.000008706178],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011244486,0.0004120934,0.8894578,0.0012910324,0.0007470616,0.00029444613,0.0023642643,0.00080650277,0.0012533056,0.000014004124,0.03954389,0.062691115],"study_design_scores_gemma":[0.004016586,0.00048522808,0.79235023,0.0005823281,0.00025181577,0.00003126742,0.00087799213,0.17380048,0.000019097974,0.000011456234,0.027151957,0.00042157873],"about_ca_topic_score_codex":0.007825861,"about_ca_topic_score_gemma":0.0069501433,"teacher_disagreement_score":0.17299397,"about_ca_system_score_codex":0.0005978265,"about_ca_system_score_gemma":0.0016865764,"threshold_uncertainty_score":0.9987811},"labels":[],"label_agreement":null},{"id":"W4405906449","doi":"10.2196/59298","title":"Assessing the Data Quality Dimensions of Partial and Complete Mastectomy Cohorts in the <i>All of Us</i> Research Program: Cross-Sectional Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Cross-sectional study; Quality (philosophy); Psychology; Gerontology; Medicine; Computer science; Statistics; World Wide Web; Mathematics; Physics","score_opus":0.609466669380634,"score_gpt":0.6237969928738044,"score_spread":0.014330323493170427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405906449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99573594,0.0015641883,0.000007152022,0.00084441877,0.0001152024,0.0013201507,0.00008596274,0.000015529064,0.00031143922],"genre_scores_gemma":[0.9992797,0.00004119859,0.000062308776,0.0001390083,0.00014918037,0.0002727795,0.000020476837,0.000007675157,0.000027721746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978348,0.00034568383,0.0003858702,0.0003156585,0.0008989152,0.00021909608],"domain_scores_gemma":[0.998761,0.00042598203,0.00006355304,0.0005279108,0.00018279618,0.000038743496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035678425,0.000080565114,0.00021245575,0.000059123624,0.000114854585,0.00013141448,0.00025683298,0.00004151936,0.000042861044],"category_scores_gemma":[0.00010855373,0.00004019016,0.000034340264,0.00050685165,0.00036706924,0.00020294538,0.00024278478,0.0004316811,9.5171697e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012644367,0.00016982087,0.99305105,0.00014291104,0.00006663177,0.000026785588,0.001247447,0.000018137202,0.0011091045,0.000095296375,0.0010498347,0.0028965366],"study_design_scores_gemma":[0.00045491054,0.00022055325,0.98314023,0.00022602611,0.00003467154,0.000016958007,0.001827315,0.0008086751,0.000052394134,0.000055880606,0.01311697,0.00004538777],"about_ca_topic_score_codex":0.007526134,"about_ca_topic_score_gemma":0.0019797585,"teacher_disagreement_score":0.0120671345,"about_ca_system_score_codex":0.000061918254,"about_ca_system_score_gemma":0.0002832707,"threshold_uncertainty_score":0.99908286},"labels":[],"label_agreement":null},{"id":"W4405910954","doi":"10.2196/64747","title":"An App-Based Intervention With Behavioral Support to Promote Brisk Walking in People Diagnosed With Breast, Prostate, or Colorectal Cancer (APPROACH): Process Evaluation Study","year":2024,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Intervention (counseling); Prostate cancer; Prostate; Medicine; Process (computing); Cancer; Psychology; Physical therapy; Multimedia; Computer science; World Wide Web; Internal medicine; Nursing","score_opus":0.021989418827155514,"score_gpt":0.3849896248013944,"score_spread":0.36300020597423893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405910954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909525,0.00017177463,0.000065626875,0.00018871974,0.00023477123,0.007971925,0.00015429064,0.00019675688,0.000063669584],"genre_scores_gemma":[0.9744776,0.0000053086114,0.000054803066,0.00008912851,0.00018930818,0.024608212,0.0002595097,0.00009162626,0.00022452949],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974895,0.00011126469,0.0003256183,0.00078731804,0.0008888183,0.00039746196],"domain_scores_gemma":[0.99903053,0.0000141285,0.00009252505,0.00025704215,0.0004077779,0.00019800992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004755246,0.00030806632,0.00040890556,0.00028373842,0.000062216575,0.00012757207,0.00011738507,0.00008163054,0.0005730092],"category_scores_gemma":[0.0000052934065,0.00020955563,0.000059156624,0.0013510003,0.000040233193,0.00034566948,0.000019752602,0.00030299363,0.0000031655932],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009188378,0.0028228783,0.7593386,0.0010920694,0.000107558444,0.00020848706,0.04669236,0.0011023375,0.00029953572,4.4790278e-7,0.00011569986,0.17903164],"study_design_scores_gemma":[0.0072474265,0.010082396,0.9553363,0.0024045403,0.0006478936,0.00007101276,0.015348391,0.0074341865,0.0006608526,0.0000013846652,0.00025874685,0.00050688843],"about_ca_topic_score_codex":0.024440913,"about_ca_topic_score_gemma":0.48085633,"teacher_disagreement_score":0.4564154,"about_ca_system_score_codex":0.0010014604,"about_ca_system_score_gemma":0.0015378065,"threshold_uncertainty_score":0.9820554},"labels":[],"label_agreement":null},{"id":"W4406015093","doi":"10.2196/55746","title":"Exploring Motives Behind Ideal Melanoma Survivorship Care Plans With Multiple Stakeholders: A Cocreation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Les Laboratories Pierre Fabre; Bristol-Myers Squibb","keywords":"Survivorship curve; Stakeholder; Thematic analysis; Psychology; Qualitative research; Nursing; Ideal (ethics); Medicine; Family medicine; Public relations; Sociology; Political science; Population; Environmental health","score_opus":0.12992404470507424,"score_gpt":0.33049324450454104,"score_spread":0.2005691997994668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406015093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918039,0.0012230587,0.00009478739,0.00029778044,0.0005212315,0.0015300068,0.00011102665,0.00014511842,0.0042730877],"genre_scores_gemma":[0.99601626,0.0000867558,0.000022731307,0.00017908661,0.00024873554,0.0020522552,0.00006578873,0.000037547376,0.0012908084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984988,0.00008027808,0.00023347167,0.0004694034,0.00039331606,0.00032471935],"domain_scores_gemma":[0.9990966,0.00009991611,0.00007405882,0.00038473104,0.00022445532,0.00012025589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010301402,0.00025029262,0.00037988054,0.0002016638,0.00014135882,0.000048787897,0.000111808,0.00006737422,0.000097465774],"category_scores_gemma":[0.000021544529,0.00020660253,0.000078135796,0.00036043188,0.000057031957,0.0002142816,0.00003942266,0.00025428267,0.0000056233052],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001373717,0.00019090614,0.9332235,0.00030645845,0.00024443047,0.00005638739,0.051532634,0.0000479243,0.0001363743,0.000032960917,0.00018871613,0.012666024],"study_design_scores_gemma":[0.0037596268,0.00069398107,0.84772086,0.00069764315,0.00021811188,0.0000030815106,0.13933517,0.000023918212,0.001130525,0.000004617828,0.0061688996,0.00024353295],"about_ca_topic_score_codex":0.02060772,"about_ca_topic_score_gemma":0.2963207,"teacher_disagreement_score":0.275713,"about_ca_system_score_codex":0.00037846842,"about_ca_system_score_gemma":0.0002998267,"threshold_uncertainty_score":0.9859141},"labels":[],"label_agreement":null},{"id":"W4406418814","doi":"10.2196/64208","title":"The Efficacy of Digital Interventions on Adherence to Oral Systemic Anticancer Therapy Among Patients With Cancer: Systematic Review and Meta-Analysis","year":2025,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Meta-analysis; Medicine; Cancer; Psychological intervention; Cancer therapy; Systemic therapy; Oncology; Intensive care medicine; Internal medicine; Breast cancer; Nursing; Computer science","score_opus":0.14568332078656074,"score_gpt":0.45053809574472714,"score_spread":0.3048547749581664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406418814","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000041345313,0.9886643,0.00003329851,0.00021197606,0.00006979382,0.010399682,0.0003780528,0.000023186993,0.00017835297],"genre_scores_gemma":[0.0010204846,0.97236234,0.000007751755,0.00040815843,0.000019612036,0.01646952,0.000057888632,0.000025726067,0.009628496],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9971084,0.000208356,0.0013082377,0.0005445841,0.0005915877,0.00023884827],"domain_scores_gemma":[0.99674124,0.00041044335,0.0012279715,0.0010289843,0.0004291927,0.00016218207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026730294,0.00044763097,0.005698324,0.00021239695,0.00008839151,0.000059980386,0.00041326456,0.00009702519,0.0006271866],"category_scores_gemma":[0.00016469037,0.0002048129,0.0016243287,0.0016175846,0.00014007953,0.00006619275,0.000058225185,0.0002722184,0.000034687717],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036186073,0.00015156236,0.00048766794,0.8752735,0.077087305,0.0000011363882,0.000033775912,0.0000011923515,8.404643e-9,0.00002193135,0.001975678,0.044930063],"study_design_scores_gemma":[0.00038802132,0.00028540948,0.0003452096,0.5113947,0.4745932,0.0000013587601,0.00001554377,9.2665914e-7,1.2978794e-7,0.0000010227926,0.01275029,0.00022424899],"about_ca_topic_score_codex":0.00008843253,"about_ca_topic_score_gemma":0.00006361688,"teacher_disagreement_score":0.39750588,"about_ca_system_score_codex":0.00016554109,"about_ca_system_score_gemma":0.00047821205,"threshold_uncertainty_score":0.83520275},"labels":[],"label_agreement":null},{"id":"W4406437875","doi":"10.2196/66636","title":"Analysis of the Relationship Between Rural-Urban Status and Use of Digital Health Technology Among Older Cancer Survivors Based on the Health Information National Trends Survey: Cross-Sectional Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Preprint; Cross-sectional study; Environmental health; Gerontology; Health Information National Trends Survey; Medicine; Health information; Health care; Political science; Computer science; World Wide Web","score_opus":0.043454416955626685,"score_gpt":0.3703286125788676,"score_spread":0.32687419562324094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406437875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903774,0.00028112938,0.00019539916,0.004743022,0.00013832806,0.00034742,0.0037639907,0.000024635001,0.00012867547],"genre_scores_gemma":[0.9975932,0.000043118358,0.0000036969998,0.0007336339,0.000026999045,0.00015500674,0.0008559156,0.00000772368,0.0005806613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980634,0.00017813961,0.000678721,0.00020532242,0.00063138444,0.00024306582],"domain_scores_gemma":[0.99758077,0.0008505763,0.0005948069,0.00036387632,0.00052985747,0.00008011568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063505356,0.00015650454,0.0005279892,0.0017178314,0.00021726757,0.00006073357,0.00011826148,0.00013116903,0.00014075782],"category_scores_gemma":[0.00027689186,0.00010450017,0.00028007984,0.008453195,0.00030375854,0.0002475641,0.00004296321,0.00028582022,2.58702e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010647409,0.00003352433,0.99173075,0.00008456722,0.0012119798,2.0828445e-8,0.000459942,0.0031496421,2.6156843e-7,0.00032702647,0.00056634715,0.0023294499],"study_design_scores_gemma":[0.0004256364,0.00005318188,0.99594694,0.000087524786,0.00036940692,4.1812918e-8,0.00015281855,0.0020813711,0.0000061570167,0.00001994889,0.00077957864,0.000077365235],"about_ca_topic_score_codex":0.04269808,"about_ca_topic_score_gemma":0.12480926,"teacher_disagreement_score":0.08211118,"about_ca_system_score_codex":0.0006451981,"about_ca_system_score_gemma":0.0011409135,"threshold_uncertainty_score":0.9636767},"labels":[],"label_agreement":null},{"id":"W4406482331","doi":"10.2196/56718","title":"Preliminary Effectiveness of a Telehealth-Delivered Exercise Program in Older Adults Living With and Beyond Cancer: Retrospective Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"National Cancer Institute","keywords":"Telehealth; Medicine; Retrospective cohort study; Gerontology; Physical therapy; Cancer; Physical medicine and rehabilitation; Telemedicine; Health care; Surgery; Internal medicine","score_opus":0.005566544643816626,"score_gpt":0.30566518848549895,"score_spread":0.30009864384168233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406482331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844921,0.008601018,0.0000049646474,0.00011019172,0.00019396804,0.0058353576,0.000027773025,0.000059323407,0.00067525863],"genre_scores_gemma":[0.99127907,0.0007569271,0.000024896895,0.00006679807,0.000042549407,0.007610782,0.0000035371158,0.00002567114,0.00018975281],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856573,0.00010974566,0.00025273924,0.0005147215,0.000272585,0.00028449635],"domain_scores_gemma":[0.999174,0.00008842868,0.00010412737,0.00027969442,0.0002635944,0.00009014603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022702396,0.000215957,0.0006252274,0.00020497869,0.000050888153,0.00001252305,0.000076295226,0.00009451288,0.000038633738],"category_scores_gemma":[0.000017325066,0.00017793346,0.00004787418,0.0007749572,0.000098899836,0.000084868014,0.00007214858,0.0002706207,2.5139167e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0070026596,0.0011768956,0.87825155,0.0031094933,0.0001102589,0.000021776761,0.011844089,0.000007460266,0.000040362233,0.000009671081,0.000072305695,0.0983535],"study_design_scores_gemma":[0.004939114,0.002324887,0.9722843,0.012933918,0.000177409,0.0000022011625,0.0067804265,0.000066600536,0.0002704645,0.000010357978,0.000047719284,0.00016257176],"about_ca_topic_score_codex":0.017083045,"about_ca_topic_score_gemma":0.025285026,"teacher_disagreement_score":0.098190926,"about_ca_system_score_codex":0.0005027057,"about_ca_system_score_gemma":0.00042433507,"threshold_uncertainty_score":0.99250096},"labels":[],"label_agreement":null},{"id":"W4406527096","doi":"10.2196/59464","title":"Developing and Assessing a Scalable Digital Health Tool for Pretest Genetic Education in Patients With Early-Onset Colorectal Cancer: Mixed Methods Design","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Colorectal cancer; Medicine; Scalability; Oncology; Computer science; Internal medicine; Cancer","score_opus":0.01451587964507254,"score_gpt":0.3719938293301698,"score_spread":0.3574779496850972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406527096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9270644,0.0021338763,0.06895003,0.00028472682,0.00026941628,0.001200397,0.00006052513,0.000009162602,0.000027444734],"genre_scores_gemma":[0.8770166,0.00011622717,0.1197376,0.00037783553,0.000058015798,0.0024195025,0.00007342933,0.000024168083,0.00017658783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902594,0.00008000702,0.00020924934,0.00037209757,0.000072454975,0.00024026386],"domain_scores_gemma":[0.9995173,0.00004687687,0.00010639297,0.00012977824,0.0001616837,0.000037959773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014112363,0.00014042057,0.00015835234,0.0000786288,0.00010688889,0.00010433719,0.0000863503,0.00008598662,0.0000029232056],"category_scores_gemma":[0.000050891973,0.00013669251,0.000021139853,0.00021679036,0.00005736857,0.000019518759,0.000048097143,0.000059806087,1.5706635e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022806237,0.0000634009,0.59410197,0.00013801869,0.0000598378,6.161751e-8,0.00012696817,0.00045362793,0.0013449354,0.000009489901,0.0019941817,0.40147942],"study_design_scores_gemma":[0.0012313484,0.00022574735,0.974,0.00027330226,0.000017218596,7.547883e-7,0.00007363091,0.0002291133,0.01868578,0.00015148854,0.004871399,0.00024025037],"about_ca_topic_score_codex":0.00011537053,"about_ca_topic_score_gemma":0.00021182864,"teacher_disagreement_score":0.4012392,"about_ca_system_score_codex":0.00046273594,"about_ca_system_score_gemma":0.004557874,"threshold_uncertainty_score":0.80854726},"labels":[],"label_agreement":null},{"id":"W4406538394","doi":"10.2196/59882","title":"Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; Health Science Center, University of Tennessee; National Institutes of Health","keywords":"Socioeconomic status; Geospatial analysis; Breast cancer; Breast cancer screening; Demography; Geography; Environmental health; Medicine; Cancer; Mammography; Sociology; Population; Cartography; Internal medicine","score_opus":0.05205927608384406,"score_gpt":0.35530488580937675,"score_spread":0.3032456097255327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406538394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991909,0.0023240857,0.00071854057,0.0041585425,0.000056350975,0.0004275108,0.000048330316,0.000030172925,0.00032743977],"genre_scores_gemma":[0.9968901,0.00078398944,0.00020113682,0.0013050489,0.000093250346,0.0003893885,0.00013618908,0.000013598451,0.0001872674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988245,0.000099649485,0.00031845307,0.00028959836,0.00014215213,0.00032565888],"domain_scores_gemma":[0.999614,0.0000569895,0.0000919118,0.00013865056,0.000047482332,0.000050967006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003221724,0.0001649372,0.0002970529,0.00035014297,0.00017382235,0.000069552814,0.00011308415,0.0000852955,0.00007403929],"category_scores_gemma":[0.000015515348,0.00013285212,0.00005122474,0.00058492593,0.00011161296,0.00018955795,0.000058169924,0.0005601741,5.3075655e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013302577,0.00002304498,0.9530226,0.00007742544,0.000033772503,0.0000068466848,0.00132566,0.04002331,0.0000073226443,0.00017156266,0.00029064337,0.004884813],"study_design_scores_gemma":[0.0009326179,0.0000142840445,0.8629213,0.00044733202,0.000046342724,0.000005269011,0.002152493,0.13285896,0.0000017637371,0.00007693057,0.00042668087,0.000116037176],"about_ca_topic_score_codex":0.16761665,"about_ca_topic_score_gemma":0.036224432,"teacher_disagreement_score":0.13139223,"about_ca_system_score_codex":0.0003013581,"about_ca_system_score_gemma":0.00010580196,"threshold_uncertainty_score":0.981362},"labels":[],"label_agreement":null},{"id":"W4406728113","doi":"10.2196/56625","title":"Patient Voices: Multimethod Study on the Feasibility of Implementing Electronic Patient-Reported Outcome Measures in a Comprehensive Cancer Center","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Usability; Medicine; System usability scale; Patient-reported outcome; Cancer; Family medicine; Internal medicine; Nursing; Quality of life (healthcare); Heuristic evaluation","score_opus":0.09715315613165118,"score_gpt":0.42465761439158956,"score_spread":0.32750445825993835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406728113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99347043,0.0011206856,0.000012936684,0.00080546556,0.00040692504,0.003329326,0.00006160616,0.000031553896,0.00076107256],"genre_scores_gemma":[0.9965728,0.00004272887,0.0000082387,0.0015670162,0.000037942475,0.0016096886,0.0000074463264,0.000019988593,0.00013415069],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99742544,0.00030582648,0.00078118284,0.0004767452,0.00051910727,0.00049168593],"domain_scores_gemma":[0.9984794,0.00018828323,0.0003182574,0.00058414595,0.00037508618,0.000054824442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034679243,0.00024157832,0.00053513533,0.0001597186,0.000081421276,0.000014233543,0.00012230818,0.00006431539,0.00022021326],"category_scores_gemma":[0.00007808252,0.00016397603,0.00017899764,0.00057625445,0.000055479544,0.000040716233,0.00010757846,0.00041514265,0.0000011849256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087697955,0.00083054433,0.9595024,0.00013995385,0.0003212709,0.000008332038,0.008896882,0.000030080295,0.001107616,0.000021153133,0.00035750144,0.027907316],"study_design_scores_gemma":[0.0038112164,0.00077029434,0.96036994,0.0004997873,0.0001787472,0.0000010243715,0.016534299,0.00007778586,0.0029115283,0.000035202993,0.014606393,0.00020378648],"about_ca_topic_score_codex":0.015880393,"about_ca_topic_score_gemma":0.059785333,"teacher_disagreement_score":0.04390494,"about_ca_system_score_codex":0.0008786461,"about_ca_system_score_gemma":0.0003909347,"threshold_uncertainty_score":0.99067295},"labels":[],"label_agreement":null},{"id":"W4406833177","doi":"10.2196/54154","title":"Benefits of Remote-Based Mindfulness on Physical Symptom Outcomes in Cancer Survivors: Systematic Review and Meta-Analysis","year":2025,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"CINAHL; Psychological intervention; Mindfulness; PsycINFO; Medicine; Meta-analysis; MEDLINE; Quality of life (healthcare); Systematic review; Randomized controlled trial; Funnel plot; Publication bias; Clinical psychology; Physical therapy; Psychiatry; Nursing","score_opus":0.07586392564111034,"score_gpt":0.4067941293563326,"score_spread":0.33093020371522225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406833177","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004882977,0.99232244,0.0000082860715,0.00056572317,0.0001636693,0.0053390115,0.0013554228,0.000028589138,0.00016803638],"genre_scores_gemma":[0.00031701548,0.9869124,0.000005543379,0.0015383395,0.000066841196,0.008253783,0.00011208276,0.0000657814,0.0027281935],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9960381,0.0005032025,0.0014556734,0.0008883643,0.0007440193,0.00037065166],"domain_scores_gemma":[0.99656534,0.0008335596,0.0009524856,0.0012357655,0.0002592568,0.00015358653],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0004687834,0.00085313263,0.017754694,0.0008535981,0.00003248514,0.000021174465,0.00031724642,0.00031670634,0.00042086217],"category_scores_gemma":[0.00012545605,0.00053314946,0.0042256895,0.0027035484,0.000080938684,0.000040917745,0.000072228606,0.0005249534,0.00000499197],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015313202,0.00013641166,0.000033475266,0.91255236,0.056794904,0.0000055649843,0.00006544244,0.000019927716,4.1324015e-9,0.000041193598,0.00009091633,0.030244485],"study_design_scores_gemma":[0.00023848441,0.000052304655,0.000023470548,0.28564003,0.7010729,9.967358e-7,0.000011720773,0.000009372241,0.000004379526,0.0000034628233,0.012561994,0.0003809067],"about_ca_topic_score_codex":0.008003198,"about_ca_topic_score_gemma":0.027759241,"teacher_disagreement_score":0.644278,"about_ca_system_score_codex":0.00047774334,"about_ca_system_score_gemma":0.00081735296,"threshold_uncertainty_score":0.999712},"labels":[],"label_agreement":null},{"id":"W4406833305","doi":"10.2196/57275","title":"Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Radiology practices and education","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Computer science; Information extraction; Artificial intelligence; Machine learning; Natural language processing; Data mining; Information retrieval","score_opus":0.02792160276951978,"score_gpt":0.3638044400820019,"score_spread":0.33588283731248214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406833305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7860164,0.0005930311,0.211369,0.00025842342,0.00016975346,0.0006507159,0.0000068386776,0.000016997707,0.00091885775],"genre_scores_gemma":[0.95291066,0.00014670398,0.045350313,0.00023236821,0.000050032497,0.0004232823,0.00023988246,0.0000047988005,0.00064197805],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999513,0.000012280335,0.00023023311,0.00011068269,0.000044590164,0.00008923777],"domain_scores_gemma":[0.9996354,0.0000293501,0.0001640911,0.00008114375,0.000065255816,0.000024779065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002581344,0.00006050898,0.00013569482,0.00009525059,0.00005402308,0.000008900367,0.000012086035,0.000085612286,0.0000043509203],"category_scores_gemma":[0.000043486558,0.000054287833,0.000013045347,0.000055870372,0.000019024006,0.00028614613,0.0000123652935,0.00006126126,9.894839e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016953482,0.0005652763,0.028494898,0.005603244,0.00067354116,0.0000056949025,0.18678086,0.007795329,0.028575735,0.0003342851,0.008729547,0.73074627],"study_design_scores_gemma":[0.0033345774,0.00016783907,0.04747964,0.00019811605,0.00028999473,0.00043457383,0.022342974,0.9016554,0.00652442,0.000104380604,0.017188296,0.00027983112],"about_ca_topic_score_codex":0.000046971414,"about_ca_topic_score_gemma":0.0000038898925,"teacher_disagreement_score":0.89386004,"about_ca_system_score_codex":0.0000681667,"about_ca_system_score_gemma":0.00010429125,"threshold_uncertainty_score":0.22137935},"labels":[],"label_agreement":null},{"id":"W4406856422","doi":"10.2196/64611","title":"Leveraging Patient-Reported Outcome Measures for Optimal Dose Selection in Early Phase Cancer Trials","year":2025,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Selection (genetic algorithm); Outcome (game theory); Phase (matter); Cancer; Computer science; Medicine; Medical physics; Oncology; Artificial intelligence; Internal medicine; Mathematics; World Wide Web; Physics","score_opus":0.8250779505726163,"score_gpt":0.6898320039324328,"score_spread":0.13524594664018352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406856422","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008436124,0.9314849,0.049876492,0.00007692433,0.0036004807,0.013114185,0.0014438403,0.0001805532,0.00013831258],"genre_scores_gemma":[0.000016902042,0.85310763,0.11780935,0.00011066865,0.0011907367,0.026668455,0.000014548014,0.00014974135,0.0009319953],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98931044,0.0027363845,0.0056278515,0.0010465293,0.00061943906,0.0006593332],"domain_scores_gemma":[0.9419886,0.054207195,0.0028355722,0.00045283203,0.0003576225,0.0001581738],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0074243676,0.0007490487,0.006951558,0.00046051628,0.00010473433,0.00010670526,0.0003736643,0.00080381177,0.00044101055],"category_scores_gemma":[0.10612367,0.0005831867,0.0014508244,0.0008942615,0.00007311742,0.00008838245,0.00010512222,0.00091149204,0.000004467714],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037262507,0.00030818945,0.000032028984,0.021036882,0.0007432707,0.000010941686,0.000119689656,0.000009369922,0.0000021136032,0.00054339995,0.0035011817,0.9733203],"study_design_scores_gemma":[0.008396046,0.00035347856,0.000014538228,0.04165548,0.0065821847,0.0000045948045,0.00001851826,0.00008260548,0.000034791323,0.045395266,0.8961788,0.0012836995],"about_ca_topic_score_codex":0.00025014346,"about_ca_topic_score_gemma":0.00008708657,"teacher_disagreement_score":0.9720366,"about_ca_system_score_codex":0.0010810136,"about_ca_system_score_gemma":0.0015415832,"threshold_uncertainty_score":0.999662},"labels":[],"label_agreement":null},{"id":"W4406858876","doi":"10.2196/65820","title":"Assisted Reproductive Technology and Risk of Childhood Cancer Among the Offspring of Parents With Infertility: Systematic Review and Meta-Analysis","year":2025,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Preprint; Offspring; Meta-analysis; Medicine; Biology; Pregnancy; Computer science; Genetics; Internal medicine","score_opus":0.03445361736572911,"score_gpt":0.3524777386938588,"score_spread":0.3180241213281297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406858876","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034829474,0.9920193,0.0000110095825,0.0004282591,0.00002698552,0.006833383,0.00018186425,0.000057485933,0.000093396025],"genre_scores_gemma":[0.008109442,0.98418117,0.000066534514,0.000026000422,0.000013013692,0.007045334,0.000010269946,0.000028708026,0.0005195548],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9967471,0.0004126633,0.0012678879,0.001083078,0.00026828225,0.00022100739],"domain_scores_gemma":[0.9947703,0.00019107446,0.0024099387,0.0021257503,0.0004594026,0.000043571163],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00070142566,0.0005181715,0.009397593,0.0008051728,0.000094561634,0.0000053946364,0.00027675013,0.00042666015,0.000043697546],"category_scores_gemma":[0.0007612584,0.0002477259,0.0009164442,0.0034886717,0.0010039927,0.000052828756,0.0002456105,0.00086881686,2.468484e-7],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000855199,0.00009754031,0.022947682,0.6781558,0.28198576,0.0000035396781,0.00006842849,3.0086235e-7,1.2815529e-7,0.000034542234,0.000008347387,0.016689433],"study_design_scores_gemma":[0.0001626151,0.00006026307,0.019417461,0.16657457,0.8130424,0.00002533763,0.000045973924,1.8893661e-7,0.000012700661,0.00002382499,0.00046004987,0.00017459312],"about_ca_topic_score_codex":0.00021459754,"about_ca_topic_score_gemma":0.00018414993,"teacher_disagreement_score":0.5310567,"about_ca_system_score_codex":0.000088785106,"about_ca_system_score_gemma":0.00036865412,"threshold_uncertainty_score":0.9999975},"labels":[],"label_agreement":null},{"id":"W4406863412","doi":"10.2196/59391","title":"Exploring Older Adult Cancer Survivors’ Digital Information Needs: Qualitative Pilot Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Preprint; Qualitative research; Gerontology; Cancer survivor; Psychology; Cancer; Medicine; Computer science; World Wide Web; Sociology","score_opus":0.20804027897523422,"score_gpt":0.5283923133208619,"score_spread":0.32035203434562765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406863412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97108895,0.000084884894,0.0009829323,0.0017015163,0.00252987,0.0033305304,0.00029836808,0.00022584917,0.019757103],"genre_scores_gemma":[0.97684205,0.00012070206,0.000029096396,0.008012133,0.00022527845,0.012066521,0.00006352472,0.000012411628,0.0026282754],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99664265,0.00047280447,0.0017775092,0.00017173743,0.0003802309,0.0005550703],"domain_scores_gemma":[0.99736434,0.00046486917,0.0005706395,0.00038382798,0.0010628174,0.00015350812],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010662229,0.00022410988,0.0003412182,0.0003854224,0.00080357806,0.00010113053,0.00024547748,0.00007723181,0.0010390276],"category_scores_gemma":[0.00036059367,0.0001860676,0.000046325287,0.001080682,0.000045289366,0.008908541,0.00014869632,0.00066829467,0.0003617492],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041253687,0.00031550432,0.37337458,0.001479019,0.00006452856,1.5985583e-7,0.5603326,0.000027755774,0.0000018722128,0.0019723196,0.012908262,0.049110856],"study_design_scores_gemma":[0.0025841286,0.0002422623,0.4008843,0.0010325332,0.000018344375,6.204283e-8,0.45473468,0.00038517162,0.000011028149,0.00019787862,0.13958003,0.0003295913],"about_ca_topic_score_codex":0.013509423,"about_ca_topic_score_gemma":0.003646927,"teacher_disagreement_score":0.12667176,"about_ca_system_score_codex":0.00069976796,"about_ca_system_score_gemma":0.00089179125,"threshold_uncertainty_score":0.9998742},"labels":[],"label_agreement":null},{"id":"W4406865074","doi":"10.2196/65984","title":"Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review","year":2025,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Topic Modeling","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"BC Cancer Agency; University of Waterloo; University of Toronto","funders":"","keywords":"Preprint; Computer science; Data science; Medicine; World Wide Web","score_opus":0.074606718448783,"score_gpt":0.5065021944205048,"score_spread":0.43189547597172184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406865074","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[2.7351548e-9,0.516346,0.47910085,0.00041651045,0.000085766944,0.003797628,0.000031764368,0.000042934225,0.0001785886],"genre_scores_gemma":[1.0826988e-7,0.9528505,0.02285774,0.0022998436,0.00007616174,0.021673083,0.00009083879,0.0000071135614,0.0001445722],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984778,0.00007170512,0.00076533965,0.0002979788,0.00012627702,0.00026086794],"domain_scores_gemma":[0.9987483,0.00011260341,0.00053107826,0.0005048561,0.00005724604,0.00004588616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057945354,0.000171287,0.0008392148,0.00022290311,0.00007870112,0.000042824362,0.00048193487,0.0001512573,0.0000055836076],"category_scores_gemma":[0.000028294418,0.00016116629,0.00015504824,0.0004786805,0.0000048164607,0.00052600016,0.00011563471,0.0002531735,0.000010402855],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[2.2242438e-7,0.000011543303,4.087238e-8,0.1647135,0.0000036269219,7.769213e-8,0.0001395932,0.00012785743,6.019732e-9,0.0017385095,0.0010011109,0.8322639],"study_design_scores_gemma":[0.00009463304,0.0000059536915,4.9037602e-8,0.20310283,0.000018282475,0.0000012587434,0.0000045583706,0.027055124,3.3453222e-8,0.000059481456,0.7695446,0.00011316774],"about_ca_topic_score_codex":0.000030317606,"about_ca_topic_score_gemma":0.0002331222,"teacher_disagreement_score":0.83215076,"about_ca_system_score_codex":0.00086765963,"about_ca_system_score_gemma":0.0033348931,"threshold_uncertainty_score":0.657217},"labels":[],"label_agreement":null},{"id":"W4406896710","doi":"10.2196/58834","title":"A Machine Learning Approach Using Topic Modeling to Identify and Assess Experiences of Patients With Colorectal Cancer: Explorative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Patient experience; Medicine; Qualitative research; Scale (ratio); Health care; Psychology; Medical education; Nursing","score_opus":0.15358147425280347,"score_gpt":0.5074529862846351,"score_spread":0.35387151203183165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406896710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935003,0.00026313518,0.0025206932,0.000049660208,0.0006153141,0.0028357042,0.000030144753,0.00004113471,0.00014392458],"genre_scores_gemma":[0.99367374,0.00002541311,0.00039178014,0.000097680095,0.000045415836,0.00564641,0.000007681318,0.000016220582,0.00009564897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981159,0.0004896694,0.00043389844,0.0003675852,0.00030504502,0.00028790542],"domain_scores_gemma":[0.99904484,0.000113765054,0.00023570303,0.00012603654,0.00039230692,0.00008733762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019523027,0.00015519034,0.00033228783,0.0001794698,0.0006168656,0.00001075411,0.00009804704,0.000079192134,0.00007872072],"category_scores_gemma":[0.000053710857,0.00012679533,0.000018000655,0.0004867136,0.00003782226,0.00022234293,0.00012946098,0.00040103603,7.3304386e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020182718,0.000054443415,0.8619427,0.00024714446,0.000038067883,2.333496e-7,0.12733224,0.009129024,0.00003050382,0.00001663415,0.000010652108,0.0009964977],"study_design_scores_gemma":[0.0015557617,0.00030687093,0.7274164,0.0007103135,0.000038507496,4.8742603e-8,0.21833397,0.051335867,0.000041579046,0.000015494368,0.000044916756,0.00020029234],"about_ca_topic_score_codex":0.0061220555,"about_ca_topic_score_gemma":0.0016933646,"teacher_disagreement_score":0.13452636,"about_ca_system_score_codex":0.00039484372,"about_ca_system_score_gemma":0.00041096006,"threshold_uncertainty_score":0.9254757},"labels":[],"label_agreement":null},{"id":"W4406958611","doi":"10.2196/64724","title":"Social Media as a Platform for Cancer Care Decision-Making Among Women: Internet Survey-Based Study on Trust, Engagement, and Preferences","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Preprint; Social media; The Internet; Psychology; Internet privacy; Public relations; Political science; Computer science; World Wide Web","score_opus":0.2717543423001463,"score_gpt":0.5133740978326452,"score_spread":0.24161975553249893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406958611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99074346,0.0013705214,0.000040472554,0.00043982937,0.0012850392,0.004732947,0.0004064653,0.00009603123,0.000885241],"genre_scores_gemma":[0.96965307,0.00004681216,0.00008584864,0.0015098248,0.00017180826,0.028190102,0.000050260038,0.0000329634,0.0002592864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970985,0.00082510535,0.00066426274,0.0005006972,0.00035537517,0.00055603747],"domain_scores_gemma":[0.9933016,0.0052147526,0.00038588076,0.00047208383,0.0005138404,0.000111878864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058519753,0.00024734315,0.00041497877,0.00024694682,0.0011592319,0.000035668247,0.00047229277,0.00021792384,0.00042619798],"category_scores_gemma":[0.0008639873,0.00021882582,0.000050757226,0.0003586423,0.00007814876,0.00013347378,0.00030165524,0.00075654994,0.000007771373],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091549807,0.00008907089,0.77916974,0.000491434,0.00006626294,4.3111498e-7,0.16903506,0.000012313532,7.0038806e-7,0.00015264173,0.004861024,0.045205817],"study_design_scores_gemma":[0.0023940273,0.000229958,0.83681524,0.0014919931,0.000025027643,8.463369e-9,0.14761801,0.00020859038,0.000005257594,0.00076752633,0.010228992,0.00021537572],"about_ca_topic_score_codex":0.003465358,"about_ca_topic_score_gemma":0.072752915,"teacher_disagreement_score":0.06928755,"about_ca_system_score_codex":0.0015612798,"about_ca_system_score_gemma":0.0014486988,"threshold_uncertainty_score":0.94416696},"labels":[],"label_agreement":null},{"id":"W4406971157","doi":"10.2196/53328","title":"Assessing Public Interest in Mammography, Computed Tomography Lung Cancer Screening, and Computed Tomography Colonography Screening Examinations Using Internet Search Data: Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Mammography; Lung cancer screening; Lung cancer; Preprint; Cross-sectional study; Cancer screening; Radiology; Medical physics; Breast cancer; Cancer; Oncology; Internal medicine; Pathology; Computer science; World Wide Web","score_opus":0.14568159859585117,"score_gpt":0.44031057256456335,"score_spread":0.2946289739687122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406971157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773625,0.0039264066,0.014067897,0.00029114273,0.00060270535,0.002280328,0.0009974702,0.00031771496,0.00015382],"genre_scores_gemma":[0.9926999,0.000045288438,0.0050296905,0.00039810815,0.00023230449,0.00041279965,0.0010798415,0.00006352603,0.000038545244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955627,0.00049252727,0.0009662916,0.0015227484,0.00063923624,0.0008165348],"domain_scores_gemma":[0.9973715,0.0003031555,0.00028504603,0.0010493089,0.0006334275,0.000357591],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0011538836,0.0005179383,0.00079113286,0.0037451438,0.00042870638,0.001067927,0.00078032,0.00020906114,0.00012330724],"category_scores_gemma":[0.00006631227,0.0005506267,0.00024110527,0.0052003227,0.00061650167,0.0014648546,0.0011582451,0.0010136487,5.7532725e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027369434,0.00087982876,0.98377407,0.00035629357,0.0013174057,0.00006458417,0.00019668207,0.0002011143,0.00017164015,0.00010045708,0.0017766352,0.010887591],"study_design_scores_gemma":[0.004014036,0.000111391,0.92125344,0.0012230648,0.00016402345,0.00001232882,0.00039461645,0.07069832,0.000021777469,0.000007511934,0.001680142,0.00041931123],"about_ca_topic_score_codex":0.0038778416,"about_ca_topic_score_gemma":0.0067498274,"teacher_disagreement_score":0.07049721,"about_ca_system_score_codex":0.00020973726,"about_ca_system_score_gemma":0.00039384968,"threshold_uncertainty_score":0.99996907},"labels":[],"label_agreement":null},{"id":"W4407048777","doi":"10.2196/66655","title":"Spatiotemporal Correlation Analysis for the Incidence of Esophageal and Gastric Cancer From 2010 to 2019: Ecological Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Esophageal cancer; Cancer; Incidence (geometry); Correlation; Ecological study; Cancer incidence; Ecology; Medicine; Environmental science; Internal medicine; Biology; Environmental health; Mathematics","score_opus":0.028193174484155332,"score_gpt":0.38728936914392165,"score_spread":0.35909619465976633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407048777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98251116,0.010349563,0.0015608238,0.0023425275,0.00017492317,0.0027582175,0.00025228245,0.0000148390845,0.000035680332],"genre_scores_gemma":[0.99538547,0.00028875435,0.0001909995,0.00031218797,0.000100322824,0.0020713964,0.000024612376,0.000006130907,0.0016201306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990058,0.000042055082,0.00022187577,0.00029045463,0.00025686977,0.00018292505],"domain_scores_gemma":[0.9991259,0.0002889462,0.00007988239,0.00023080238,0.00017042752,0.00010405711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016069984,0.00011232419,0.00032406521,0.0001826163,0.000092819464,0.000016616495,0.00009171115,0.000052883366,0.00034305386],"category_scores_gemma":[0.000061884064,0.00006990131,0.00009091558,0.00073095673,0.000056262143,0.000044877434,0.000063987354,0.0001241769,0.0000025837596],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007957431,0.000242603,0.9798448,0.00002114415,0.0009829939,0.000008785242,0.0002876449,0.0008278453,0.000041590836,0.00001903731,0.0025663548,0.014361467],"study_design_scores_gemma":[0.0016581969,0.00063907955,0.99394184,0.00003059653,0.0010070605,2.1226138e-7,0.000112805574,0.002142851,0.00020129861,0.000049629987,0.00016939176,0.000047058107],"about_ca_topic_score_codex":0.014954492,"about_ca_topic_score_gemma":0.011192532,"teacher_disagreement_score":0.014314408,"about_ca_system_score_codex":0.00023718862,"about_ca_system_score_gemma":0.0002918946,"threshold_uncertainty_score":0.991605},"labels":[],"label_agreement":null},{"id":"W4407359480","doi":"10.2196/60158","title":"Challenges of Cross-Sectoral Video Consultation in Cancer Care on Patients’ Perceived Coordination: Randomized Controlled Trial","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Manitoba; Manitoba Health","funders":"Syddansk Universitet","keywords":"Randomized controlled trial; Cancer; Medicine; Family medicine; Psychology; Internal medicine","score_opus":0.02504836113629039,"score_gpt":0.37174597983541696,"score_spread":0.3466976186991266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407359480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.970992,0.0076974314,0.0000032307391,0.0014005278,0.0021314227,0.0066820667,0.000056307646,0.000034495668,0.01100247],"genre_scores_gemma":[0.9889323,0.0010020789,0.0000031415568,0.00039279298,0.00023356591,0.007851285,0.000037363825,0.00001711931,0.0015303199],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9982577,0.00021769364,0.0006307479,0.00033505188,0.00036336013,0.0001954377],"domain_scores_gemma":[0.99815327,0.00047832946,0.00024328072,0.00020710568,0.0008652856,0.000052718806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025972896,0.00020111578,0.0013389905,0.00026376912,0.00004293525,0.000018866318,0.00007899519,0.00016151252,0.0003875397],"category_scores_gemma":[0.0003979553,0.00015722984,0.0003179935,0.00028634456,0.00014575514,0.00007246902,0.000016737662,0.00018945521,0.0000021185251],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.95799565,0.00023797786,0.019375304,0.00038791195,0.00021464731,0.0000019294635,0.0076250094,0.000066925364,0.000093112954,0.0005852415,0.00027820494,0.0131381005],"study_design_scores_gemma":[0.87964183,0.00028443718,0.1165876,0.00070166134,0.0001556351,6.566691e-8,0.0010170335,0.000066892426,0.00019876569,0.00003786377,0.0011814915,0.00012674928],"about_ca_topic_score_codex":0.0027072069,"about_ca_topic_score_gemma":0.014027111,"teacher_disagreement_score":0.0972123,"about_ca_system_score_codex":0.0005441633,"about_ca_system_score_gemma":0.00048029606,"threshold_uncertainty_score":0.7827457},"labels":[],"label_agreement":null},{"id":"W4407434160","doi":"10.2196/71958","title":"Correction: Benefits of Remote-Based Mindfulness on Physical Symptom Outcomes in Cancer Survivors: Systematic Review and Meta-Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Meta-analysis; Mindfulness; Systematic review; Psychology; Medicine; MEDLINE; Clinical psychology; Internal medicine; Political science","score_opus":0.08294146694319078,"score_gpt":0.45580271843145975,"score_spread":0.372861251488269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407434160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6452426,0.3118035,0.00050151575,0.022357758,0.003903915,0.011144815,0.00089579955,0.00013511351,0.004015051],"genre_scores_gemma":[0.9788894,0.00015874779,0.000004711849,0.008787543,0.000026998267,0.0027831718,0.00000784898,0.000014791332,0.009326806],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9984728,0.0002630936,0.00048958766,0.00037916814,0.00019458996,0.00020074537],"domain_scores_gemma":[0.9987247,0.00047962446,0.0002356066,0.0004396755,0.000065189015,0.000055228775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028237703,0.00019421449,0.0019051075,0.00026775667,0.000037599657,0.000007278787,0.00012233212,0.000069465525,0.00071798614],"category_scores_gemma":[0.000029216377,0.00013954075,0.0004224418,0.0010668723,0.00003968332,0.00002758288,0.000020804979,0.00014192691,0.00000729304],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006902675,0.0033195594,0.068835884,0.74619776,0.1394926,0.000017173898,0.003955415,0.0031786798,0.000005103861,0.004841374,0.011306278,0.018159928],"study_design_scores_gemma":[0.004203373,0.00059721264,0.15826239,0.032824196,0.7945196,0.0000021569233,0.00080961647,0.0027629056,0.0016751856,0.00023372516,0.002681152,0.0014285049],"about_ca_topic_score_codex":0.025576081,"about_ca_topic_score_gemma":0.031164588,"teacher_disagreement_score":0.71337354,"about_ca_system_score_codex":0.00032638424,"about_ca_system_score_gemma":0.00017431029,"threshold_uncertainty_score":0.98651415},"labels":[],"label_agreement":null},{"id":"W4407478626","doi":"10.2196/56098","title":"Assessing Health Information Seeking Behaviors Among Targeted Social Media Users Using an Infotainment Video About a Cancer Clinical Trial: Population-Based Descriptive Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Social media; Population; Health communication; Audience measurement; Promotion (chess); Clinical trial; Information Dissemination; Descriptive statistics; Psychology; Medicine; Internet privacy; Medical education; Advertising; Public relations; Business; Computer science; World Wide Web; Political science; Environmental health","score_opus":0.24756164658391341,"score_gpt":0.5526782131398011,"score_spread":0.3051165665558877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407478626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977523,0.00016932734,0.00025852304,0.0016703393,0.013981768,0.0061673378,0.00002234759,0.00016803907,0.000039303446],"genre_scores_gemma":[0.99138165,0.00005094801,0.00034276376,0.0010730706,0.002018098,0.005042559,0.00006369599,0.000022657629,0.0000045409747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9948643,0.0018062677,0.0013458617,0.0003770419,0.00096388935,0.0006426616],"domain_scores_gemma":[0.996865,0.0010493731,0.0011279361,0.00019807692,0.00045333485,0.00030630396],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0028900683,0.00022294252,0.0005122764,0.00034534853,0.0020079957,0.00043691995,0.00026949146,0.00030247302,0.00010421545],"category_scores_gemma":[0.0014760823,0.00025267396,0.00012129874,0.0012837074,0.0002371867,0.0022632787,0.000035221576,0.00046831582,0.0000015558903],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0003486028,0.00032953135,0.7556494,0.000039805233,0.000026948088,2.7971288e-7,0.15414903,0.00021919655,0.0000020842197,0.00006770476,0.00015435196,0.08901311],"study_design_scores_gemma":[0.0049483078,0.000083515624,0.90191597,0.00019823985,0.00007338759,8.287962e-9,0.09032704,0.000763231,0.0000016083658,0.000043317545,0.0014279832,0.00021737514],"about_ca_topic_score_codex":0.24922569,"about_ca_topic_score_gemma":0.12682591,"teacher_disagreement_score":0.14626662,"about_ca_system_score_codex":0.0070034843,"about_ca_system_score_gemma":0.009090512,"threshold_uncertainty_score":0.99999255},"labels":[],"label_agreement":null},{"id":"W4407686803","doi":"10.2196/66633","title":"Developing Effective Frameworks for Large Language Model–Based Medical Chatbots: Insights From Radiotherapy Education With ChatGPT","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Chatbot; Computer science; Reliability (semiconductor); Knowledge management; World Wide Web","score_opus":0.033209141124075116,"score_gpt":0.4544512183293075,"score_spread":0.4212420772052324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407686803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49932185,0.0052051325,0.47147134,0.020797992,0.00082330895,0.002089008,0.000014424525,0.000073068375,0.00020386945],"genre_scores_gemma":[0.962323,0.00018746393,0.009263228,0.022731299,0.00094306853,0.004041685,0.00012221877,0.00002622536,0.0003618155],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990197,0.00003412125,0.000220076,0.0002924212,0.00021705696,0.00021661457],"domain_scores_gemma":[0.99910146,0.00026005777,0.0000688971,0.00021771435,0.00023954007,0.00011230871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000104721854,0.0001342572,0.00023340971,0.00012921696,0.0001232906,0.000018614832,0.000080440455,0.0003336831,0.0001404033],"category_scores_gemma":[0.000118498036,0.000104257684,0.00004835234,0.00027640566,0.000034132947,0.000070973816,0.0000074719137,0.00032718392,0.0000036619053],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019060327,0.00073911936,0.015113522,0.00078462326,0.0002596902,0.0000048314014,0.023015711,0.00029515894,0.00094345363,0.015799545,0.007343311,0.933795],"study_design_scores_gemma":[0.0037621136,0.0013132484,0.034528643,0.020487728,0.00046173172,0.0000059741483,0.019826584,0.64455,0.13006656,0.031552218,0.11190455,0.001540618],"about_ca_topic_score_codex":0.00092085474,"about_ca_topic_score_gemma":0.0012781362,"teacher_disagreement_score":0.9322544,"about_ca_system_score_codex":0.000554609,"about_ca_system_score_gemma":0.004193953,"threshold_uncertainty_score":0.74398917},"labels":[],"label_agreement":null},{"id":"W4407727153","doi":"10.2196/64809","title":"Monthly Variations in Colorectal Cancer Screening Tests Among Federally Qualified Health Center Patients in Missouri: Quality Improvement Project","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Colorectal cancer; Medicine; Gerontology; Quality (philosophy); Environmental health; Cancer; Internal medicine; Computer science","score_opus":0.03050502320144354,"score_gpt":0.382188565841071,"score_spread":0.3516835426396275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407727153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99238825,0.00031483357,0.00015889553,0.002344831,0.00045040096,0.0025087819,0.00012532638,0.000098748686,0.0016099256],"genre_scores_gemma":[0.99504244,0.000073420335,0.00020468517,0.0013172844,0.00011683214,0.002683342,0.00007499459,0.000025099795,0.00046187287],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99762005,0.00017356344,0.000747573,0.000554722,0.00038730737,0.00051681086],"domain_scores_gemma":[0.9992357,0.00007770989,0.0002031298,0.00019832421,0.00017215875,0.00011297045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044426884,0.00024547963,0.00051051687,0.00045177664,0.00014457348,0.00004882468,0.000099611716,0.00014647302,0.000050692888],"category_scores_gemma":[0.000104679406,0.00023936138,0.00010688234,0.0009839183,0.00004308455,0.00014693647,0.0000710505,0.00044689208,0.0000011531332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033918011,0.0004931213,0.94373256,0.00023463047,0.00006567351,0.0000034277994,0.00176105,0.0002292726,0.00045126016,0.000020543326,0.0019476572,0.047669005],"study_design_scores_gemma":[0.005744851,0.00080088293,0.988192,0.00095568446,0.000014617778,2.4858045e-7,0.00025106204,0.0017009196,0.0007195465,0.0000197798,0.0013896573,0.00021074158],"about_ca_topic_score_codex":0.12584317,"about_ca_topic_score_gemma":0.25010663,"teacher_disagreement_score":0.12426347,"about_ca_system_score_codex":0.0018997309,"about_ca_system_score_gemma":0.0009247361,"threshold_uncertainty_score":0.9760874},"labels":[],"label_agreement":null},{"id":"W4407733939","doi":"10.2196/59483","title":"Evaluation of Douyin Short Videos on Mammography in China: Quality and Reliability Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mammography; Checklist; Medicine; Breast cancer; Reliability (semiconductor); Medical physics; Quality (philosophy); Video quality; Cancer; Psychology; Internal medicine","score_opus":0.09441079925347359,"score_gpt":0.5699366696942606,"score_spread":0.475525870440787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407733939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842745,0.00018942016,0.00026035716,0.0013537037,0.00021279042,0.0016090985,0.000073973075,0.000025064382,0.012001076],"genre_scores_gemma":[0.99686044,0.00006344643,0.00012380419,0.0016783068,0.00002473747,0.0011266723,0.00002375358,0.0000030633628,0.00009578732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99559623,0.0017899321,0.001580676,0.00028204426,0.00051859004,0.00023255301],"domain_scores_gemma":[0.99820703,0.000349997,0.0003137806,0.0004657459,0.0005959928,0.00006742846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012282845,0.00010537862,0.00038489804,0.0005073495,0.00020271266,0.000006750884,0.00010044807,0.00016473254,0.000696986],"category_scores_gemma":[0.00067619386,0.00008590829,0.00008843894,0.0017943553,0.00006696281,0.0003281598,0.000049631264,0.0004141797,0.0000035953037],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015059546,0.00008586423,0.9568476,0.00063595065,0.00004121574,2.0894763e-8,0.001979409,0.00046883515,0.0000052821624,0.000419586,0.00046513163,0.038900513],"study_design_scores_gemma":[0.0006175181,0.000015683074,0.98517597,0.00018568376,0.00010356896,4.116887e-9,0.00033100884,0.009556428,0.000020258221,0.001603858,0.0023210803,0.00006896761],"about_ca_topic_score_codex":0.003272708,"about_ca_topic_score_gemma":0.0020277,"teacher_disagreement_score":0.038831543,"about_ca_system_score_codex":0.0004443485,"about_ca_system_score_gemma":0.00062334555,"threshold_uncertainty_score":0.7631508},"labels":[],"label_agreement":null},{"id":"W4407778863","doi":"10.2196/67108","title":"Digital Health Intervention to Reduce Malnutrition Among Individuals With Gastrointestinal Cancer Receiving Cytoreductive Surgery Combined With Hyperthermic Intraperitoneal Chemotherapy: Feasibility, Acceptability, and Usability Trial","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Intraperitoneal and Appendiceal Malignancies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Medicine; Gastrointestinal cancer; Intervention (counseling); Disease; Cancer; Internal medicine; General surgery; Colorectal cancer; Nursing; Computer science","score_opus":0.02127812206524891,"score_gpt":0.33021898509273445,"score_spread":0.3089408630274855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407778863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862714,0.00023144255,0.00007015348,0.008890397,0.00021048452,0.0038508992,0.00014779689,0.00011916766,0.00020825719],"genre_scores_gemma":[0.99673915,0.000051674844,0.0005073439,0.0006099565,0.00031471546,0.0014001465,0.000051188126,0.00003865207,0.00028715964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99745804,0.00013988692,0.0006146584,0.00082681584,0.0004112222,0.0005494025],"domain_scores_gemma":[0.998697,0.00016573821,0.0002459045,0.00033786418,0.0002693057,0.00028419434],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049997616,0.0003788599,0.00085440977,0.00019305572,0.00020774794,0.00016220019,0.0001188915,0.00008810274,0.00024620752],"category_scores_gemma":[0.00008949588,0.00028665387,0.00014493731,0.0006335244,0.0005569812,0.0004216982,0.00007961619,0.00035917325,0.0000012190771],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.06235657,0.001117303,0.87066853,0.00087023695,0.00014517238,0.000009290277,0.00062872225,0.0000054573234,0.0009534214,0.000022733862,0.0005647055,0.06265784],"study_design_scores_gemma":[0.017019134,0.0037263841,0.9716246,0.0036272279,0.000071488386,0.0000829669,0.0010894724,0.000017472617,0.0021143218,0.00009496576,0.00022516087,0.000306768],"about_ca_topic_score_codex":0.0017309778,"about_ca_topic_score_gemma":0.0012402623,"teacher_disagreement_score":0.10095609,"about_ca_system_score_codex":0.0007749094,"about_ca_system_score_gemma":0.0007634712,"threshold_uncertainty_score":0.9999586},"labels":[],"label_agreement":null},{"id":"W4407894288","doi":"10.2196/66847","title":"Supporting Medication Adherence in Pediatric Patients Undergoing Hematopoietic Stem Cell Transplant Using the BMT4me mHealth App: Mixed Methods Usability Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Nursing Research","keywords":"Usability; Preprint; mHealth; Hematopoietic stem cell; Medicine; Medication adherence; Stem cell; World Wide Web; Haematopoiesis; Internal medicine; Computer science; Operating system; Nursing; Psychological intervention; Biology","score_opus":0.06086969253583202,"score_gpt":0.43814911787459343,"score_spread":0.3772794253387614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407894288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911364,0.00061019143,0.0044732695,0.00064571254,0.0004789534,0.0020092146,0.000003903389,0.000048175527,0.00059418316],"genre_scores_gemma":[0.9974063,0.0001490741,0.0006306355,0.00053839764,0.00007383179,0.00065360015,0.0000071892837,0.000012132618,0.0005288179],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975654,0.00043551213,0.00076834444,0.00044536652,0.0004338629,0.0003515466],"domain_scores_gemma":[0.9985567,0.00037656722,0.0003465722,0.00048271776,0.00011863797,0.000118820775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013673352,0.0001714646,0.00035644387,0.00012499378,0.00014457678,0.000016200625,0.00023860722,0.00008226757,0.00021480536],"category_scores_gemma":[0.00006657216,0.0001258008,0.000058926107,0.0008320604,0.000060991733,0.00007940203,0.000041755706,0.00035469633,0.00001677166],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006319287,0.00059599086,0.9751414,0.0010090601,0.0000148935105,0.0000023447822,0.0036229212,0.0000295831,0.00012700369,0.00001369921,0.0004860374,0.018893847],"study_design_scores_gemma":[0.002634984,0.0002077686,0.9863896,0.0005209523,0.00021183706,0.0000016102564,0.0061791018,0.0028587668,0.0005279779,0.00012227459,0.00018080304,0.00016434921],"about_ca_topic_score_codex":0.00019339536,"about_ca_topic_score_gemma":0.0001745555,"teacher_disagreement_score":0.018729497,"about_ca_system_score_codex":0.00032309935,"about_ca_system_score_gemma":0.0010895614,"threshold_uncertainty_score":0.5130007},"labels":[],"label_agreement":null},{"id":"W4407898368","doi":"10.2196/64000","title":"Leveraging Digital Twins for Stratification of Patients with Breast Cancer and Treatment Optimization in Geriatric Oncology: Multivariate Clustering Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Breast cancer; Medicine; Oncology; Multivariate analysis; Internal medicine; Multivariate statistics; Geriatric oncology; Stratification (seeds); Risk stratification; Cancer; Computer science; World Wide Web; Biology; Machine learning","score_opus":0.010515804625779328,"score_gpt":0.32326744800941143,"score_spread":0.3127516433836321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407898368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9339441,0.000109708,0.06344921,0.0014419858,0.00006171768,0.00075832044,0.000067140274,0.000013662586,0.00015416023],"genre_scores_gemma":[0.99615663,0.000083451865,0.003163497,0.000075418495,0.000031663192,0.0002700092,0.000084538195,0.000008362917,0.0001264202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943995,0.000011073381,0.00018752992,0.00018485464,0.0000720835,0.00010450602],"domain_scores_gemma":[0.9996576,0.000041402865,0.00010027963,0.000079843994,0.000084886546,0.000035996523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051300707,0.000083273095,0.00024919875,0.0002369061,0.000031618638,0.000018300134,0.000023450459,0.00003682975,0.000016826352],"category_scores_gemma":[0.000014032788,0.00006225115,0.000035901077,0.00040096432,0.00002868449,0.00007693544,0.0000105306235,0.000057163492,3.4115352e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041636956,0.00017663775,0.71805793,0.00007860665,0.00033326243,6.7430597e-7,0.0005418264,0.12783237,0.00008230639,0.000006532165,0.000012582431,0.15246089],"study_design_scores_gemma":[0.0028873982,0.00007184343,0.6351513,0.00008539181,0.00031691126,2.609897e-7,0.000051320556,0.36118546,0.00001420424,0.000002739878,0.00018586757,0.00004725285],"about_ca_topic_score_codex":0.0006574455,"about_ca_topic_score_gemma":0.00014803765,"teacher_disagreement_score":0.2333531,"about_ca_system_score_codex":0.00033961103,"about_ca_system_score_gemma":0.00014941784,"threshold_uncertainty_score":0.25385284},"labels":[],"label_agreement":null},{"id":"W4407954993","doi":"10.2196/67650","title":"The Role of Online Support, Caregiving, and Gender in Preventative Cancer Genetic Testing Participation: Cross-Sectional Study From a National Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Gerontology; Cross-sectional study; Psychology; Clinical psychology; Medicine; Pathology; World Wide Web","score_opus":0.040541117999915374,"score_gpt":0.4188046489448971,"score_spread":0.3782635309449817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407954993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957258,0.0027301223,0.000024600487,0.00003817948,0.00018836897,0.00079535536,0.00021415806,0.0000054069583,0.00027800843],"genre_scores_gemma":[0.9973703,0.000058261183,0.0001548636,0.00007302043,0.00018969545,0.0018479063,0.000028700106,0.000012436841,0.000264833],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877506,0.00011045992,0.00035120256,0.00037185516,0.00023841894,0.000152988],"domain_scores_gemma":[0.9992355,0.00008649472,0.00013864294,0.0001747961,0.00033858788,0.000025963775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017930566,0.00012079528,0.00011901569,0.000051655334,0.00012883163,0.00003655167,0.00014449848,0.000057423444,0.00005263971],"category_scores_gemma":[0.00009805625,0.00010568668,0.000027754526,0.00023002572,0.00010264044,0.000007028784,0.00012496104,0.00009531997,3.3107395e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007613367,0.00036222106,0.9844479,0.00000802295,0.00019847836,7.105547e-7,0.0017552902,0.0030896456,0.004928654,0.000008349623,0.00014635388,0.004978271],"study_design_scores_gemma":[0.0010261198,0.00015527554,0.99307185,0.000010001034,0.000029444376,4.1152515e-7,0.0020756216,0.00036447702,0.0018031606,0.00064941024,0.00071428897,0.00009991645],"about_ca_topic_score_codex":0.0016870219,"about_ca_topic_score_gemma":0.019587293,"teacher_disagreement_score":0.017900271,"about_ca_system_score_codex":0.00017631166,"about_ca_system_score_gemma":0.0008211786,"threshold_uncertainty_score":0.9983027},"labels":[],"label_agreement":null},{"id":"W4408044538","doi":"10.2196/67914","title":"Evaluation of Large Language Models in Tailoring Educational Content for Cancer Survivors and Their Caregivers: Quality Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Quality (philosophy); Psychology; Content analysis; Gerontology; Computer science; Medicine; World Wide Web; Sociology","score_opus":0.1874221088452903,"score_gpt":0.5569937064402212,"score_spread":0.36957159759493086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408044538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99028176,0.0018034347,0.002301161,0.0014132535,0.0003367804,0.0016084382,0.00068085187,0.0000108700815,0.001563442],"genre_scores_gemma":[0.9949784,0.0000997282,0.00007764575,0.0008478169,0.00005471092,0.003381257,0.000080433594,0.0000036572865,0.0004763167],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979939,0.0005311515,0.00084483385,0.00018373536,0.00022201434,0.00022436802],"domain_scores_gemma":[0.9979786,0.0003730027,0.00037006006,0.0001923551,0.001038233,0.000047722155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046114335,0.00008581644,0.0002857062,0.0002432999,0.00018090187,0.000006550059,0.00008107514,0.000091532725,0.00054524245],"category_scores_gemma":[0.0002528752,0.000069069945,0.000062990126,0.00053177576,0.000022996192,0.00045740735,0.000038641432,0.00015647714,5.9273736e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013753363,0.00010174788,0.87629026,0.0017576248,0.00021320426,9.083364e-9,0.082228795,0.0019566682,0.000077459066,0.006365494,0.00047577845,0.03039544],"study_design_scores_gemma":[0.0017364019,0.000007172363,0.84012544,0.0003216039,0.00012096356,4.743084e-9,0.03516069,0.1183429,0.000078811776,0.001572401,0.0024306474,0.000102966515],"about_ca_topic_score_codex":0.029925575,"about_ca_topic_score_gemma":0.08897393,"teacher_disagreement_score":0.11638623,"about_ca_system_score_codex":0.0006520083,"about_ca_system_score_gemma":0.001372937,"threshold_uncertainty_score":0.97653425},"labels":[],"label_agreement":null},{"id":"W4408091797","doi":"10.2196/65118","title":"Treatment Outcomes From Erlotinib and Gefitinib in Advanced Epidermal Growth Factor Receptor–Mutated Nonsquamous Non–Small Cell Lung Cancer in Aotearoa New Zealand From 2010 to 2020: Nationwide Whole-of-Patient-Population Retrospective Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gefitinib; Erlotinib; Aotearoa; Epidermal growth factor receptor; Medicine; Oncology; Lung cancer; Internal medicine; Population; Cancer; Environmental health; Political science","score_opus":0.009103397577824251,"score_gpt":0.32255082608513996,"score_spread":0.3134474285073157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408091797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98947763,0.00062665483,0.000011734739,0.001997973,0.00059468136,0.0057847355,0.0013338559,0.000038902544,0.00013381471],"genre_scores_gemma":[0.99120176,0.00018455836,0.0005336198,0.00020315558,0.000083718456,0.0021701383,0.00042821403,0.000037385365,0.005157424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979689,0.0000762108,0.00064690114,0.0007130621,0.00028086774,0.00031405917],"domain_scores_gemma":[0.9990029,0.00016353205,0.00023313938,0.00027644282,0.0001558333,0.000168162],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000044182332,0.00034649507,0.0008232817,0.00030734934,0.000058301615,0.000026169533,0.00007357633,0.00012549532,0.00031998448],"category_scores_gemma":[0.000053272994,0.00029401213,0.000080208716,0.000572531,0.000023339473,0.00015337841,0.00004389285,0.00019273833,0.0000046384507],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059743784,0.00071478286,0.9788693,0.000024543077,0.0004117839,0.000018941675,0.010219691,0.00063286326,0.0009650972,0.0000011583932,0.00077292847,0.0067714746],"study_design_scores_gemma":[0.011365316,0.00042845035,0.98505616,0.00030257544,0.00037885134,2.309262e-7,0.00061770726,0.00024377283,0.0011356648,0.00006007952,0.00017965186,0.00023152052],"about_ca_topic_score_codex":0.23678002,"about_ca_topic_score_gemma":0.06837569,"teacher_disagreement_score":0.16840433,"about_ca_system_score_codex":0.0018456678,"about_ca_system_score_gemma":0.000468926,"threshold_uncertainty_score":0.9999512},"labels":[],"label_agreement":null},{"id":"W4408098783","doi":"10.2196/63964","title":"Application of Artificial Intelligence in Cardio-Oncology Imaging for Cancer Therapy–Related Cardiovascular Toxicity: Systematic Review","year":2025,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Chemotherapy-induced cardiotoxicity and mitigation","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cardiotoxicity; Medicine; Magnetic resonance imaging; Cochrane Library; MEDLINE; Medical physics; Cancer; Internal medicine; Radiology; Meta-analysis; Chemotherapy","score_opus":0.04337036166779241,"score_gpt":0.40231004908774415,"score_spread":0.35893968741995175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408098783","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000005858655,0.9765473,0.0038519334,0.00020369071,0.0003225685,0.018684004,0.0001161934,0.000048017835,0.00022041553],"genre_scores_gemma":[0.00021364044,0.96959245,0.000079200305,0.00041624464,0.00025175567,0.029146468,0.00013420681,0.000064491825,0.0001015419],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99651366,0.00037649096,0.0017172884,0.000669813,0.00039461683,0.00032814447],"domain_scores_gemma":[0.9976828,0.00029093554,0.00076550606,0.0008594185,0.0003269611,0.00007434598],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001205547,0.00046634168,0.005812617,0.00036280623,0.000045680565,0.000011294831,0.00024772203,0.00046388194,0.000027933605],"category_scores_gemma":[0.00014370955,0.00038812464,0.0023574163,0.001129679,0.00008478686,0.000059543156,0.00003503455,0.0004618296,0.000004011557],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014015311,0.000040310595,0.0000012747671,0.46166044,0.001074819,0.0000026224807,0.00006672697,0.000012474755,0.00006245103,0.00005092532,0.00005194435,0.536962],"study_design_scores_gemma":[0.00035481053,0.000051920015,0.0000013033571,0.6979374,0.007347918,0.00003520674,0.00004834146,0.00016257809,0.0008719021,0.000103452934,0.2927117,0.00037346486],"about_ca_topic_score_codex":0.00022786234,"about_ca_topic_score_gemma":0.000055430657,"teacher_disagreement_score":0.5365885,"about_ca_system_score_codex":0.0014083271,"about_ca_system_score_gemma":0.0015373081,"threshold_uncertainty_score":0.99985707},"labels":[],"label_agreement":null},{"id":"W4408142471","doi":"10.2196/54625","title":"Predicting Overall Survival in Patients with Male Breast Cancer: Nomogram Development and External Validation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Male Breast Health Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nomogram; Breast cancer; Oncology; Medicine; Overall survival; Internal medicine; Cancer","score_opus":0.012662809836280474,"score_gpt":0.3155021643136467,"score_spread":0.3028393544773662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408142471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99706835,0.00026440303,0.000012077992,0.00048349838,0.0001992825,0.0014960422,0.000020862117,0.000029491252,0.00042598427],"genre_scores_gemma":[0.9978938,0.000034418452,0.00015505409,0.00017655944,0.00008981919,0.00087046763,0.000006457945,0.000012483703,0.000760929],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988545,0.000033998087,0.00026981343,0.0002913849,0.0003029581,0.0002473422],"domain_scores_gemma":[0.9995655,0.00002270063,0.00008718409,0.000115255374,0.00013801618,0.000071366645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013959678,0.00014410092,0.0002681847,0.00011636511,0.000091088994,0.00001562308,0.000041718456,0.000035485806,0.0000918646],"category_scores_gemma":[0.0000067421543,0.00011529762,0.000011551142,0.00019178611,0.000027542466,0.00007084025,0.000066903594,0.00014651853,0.0000011454493],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081850647,0.0004075749,0.9600123,0.0002767132,0.000066686196,0.0000061867345,0.0012071368,0.000015181571,0.0000034175298,0.0000039197594,0.00006905225,0.037113324],"study_design_scores_gemma":[0.0052676345,0.00012786324,0.99295694,0.00078596955,0.000039488834,0.0000024291814,0.0002598174,0.00004043187,0.000012638332,0.0000013523938,0.0004068328,0.00009859265],"about_ca_topic_score_codex":0.0022615243,"about_ca_topic_score_gemma":0.0031157788,"teacher_disagreement_score":0.037014734,"about_ca_system_score_codex":0.00039400527,"about_ca_system_score_gemma":0.00033481448,"threshold_uncertainty_score":0.47017005},"labels":[],"label_agreement":null},{"id":"W4408144022","doi":"10.2196/64020","title":"Breast Cancer Screening Participation and Internet Search Activity in a Japanese Population: Decade-Long Time-Series Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"The Internet; Breast cancer; Cancer; Series (stratigraphy); Population; Medicine; Oncology; Demography; Computer science; World Wide Web; Internal medicine; Environmental health; Biology; Sociology","score_opus":0.024068240406359104,"score_gpt":0.38085706134193503,"score_spread":0.35678882093557596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408144022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970991,0.00037519276,0.0000243021,0.0011043705,0.000074344665,0.0009521175,0.00011589462,0.00006474078,0.00018994125],"genre_scores_gemma":[0.9969784,0.000036643065,0.000026975315,0.00012628036,0.00009116658,0.00069529563,0.000041291885,0.00001575693,0.0019882133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998836,0.0001211128,0.00020378987,0.00035762656,0.00024143406,0.00024005977],"domain_scores_gemma":[0.999474,0.000041608368,0.000053568696,0.00024118247,0.00009070532,0.00009895159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019129824,0.00014160392,0.00029923036,0.00015508938,0.00004615569,0.000038702092,0.00007010641,0.00005326677,0.00037645377],"category_scores_gemma":[0.000025203864,0.00013223992,0.0000299285,0.00043460386,0.000054208544,0.0002869133,0.00011408588,0.00018162373,0.0000070340498],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012441623,0.00021414449,0.9418899,0.00012471303,0.00008470842,0.000023643297,0.0010537154,0.00009059146,0.0001749628,0.000003981138,0.00045755616,0.05463797],"study_design_scores_gemma":[0.0014634868,0.000054215343,0.99531287,0.00037719557,0.000048636397,0.0000037564978,0.00022274107,0.002144844,0.00010076148,0.0000028292077,0.0001552129,0.00011344331],"about_ca_topic_score_codex":0.009159794,"about_ca_topic_score_gemma":0.013647681,"teacher_disagreement_score":0.054524526,"about_ca_system_score_codex":0.00022417823,"about_ca_system_score_gemma":0.00010797522,"threshold_uncertainty_score":0.9974383},"labels":[],"label_agreement":null},{"id":"W4408165767","doi":"10.2196/63486","title":"Adapting a Self-Guided eHealth Intervention Into a Tailored Therapist-Guided eHealth Intervention for Survivors of Colorectal Cancer","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Sygehus Lillebælt; Aarhus Universitetshospital; Odense Universitetshospital; Aarhus Universitet; TrygFonden; Dagmar Marshalls Fond","keywords":"eHealth; Intervention (counseling); Medicine; Colorectal cancer; Psychotherapist; Psychology; Physical therapy; Cancer; Nursing; Health care; Internal medicine","score_opus":0.04493548113516101,"score_gpt":0.4529593665914723,"score_spread":0.4080238854563113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408165767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9671985,0.0052503874,0.0042948183,0.0041369232,0.008041926,0.005262093,0.0004523972,0.00035278124,0.0050101834],"genre_scores_gemma":[0.98393756,0.00006776929,0.0008294106,0.0005378645,0.00018356854,0.010076026,0.00011778636,0.00007728056,0.004172719],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99575543,0.00043648962,0.0019425483,0.0007709552,0.00030945128,0.0007851338],"domain_scores_gemma":[0.99757576,0.00021233028,0.0011072989,0.0004373596,0.00046687777,0.00020035582],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011138503,0.00038766657,0.0006986106,0.0004929361,0.00023716307,0.000057873585,0.00044454745,0.00026237796,0.0009018904],"category_scores_gemma":[0.000070843016,0.00040148263,0.00071363174,0.00079108845,0.0001330312,0.00029080262,0.00013718838,0.00032219433,0.000028125762],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0074856477,0.01077804,0.066532426,0.022892494,0.0034281407,0.000011442429,0.015412424,0.00013087825,0.0017969788,0.079085544,0.10337668,0.6890693],"study_design_scores_gemma":[0.08293122,0.023269484,0.51955706,0.050554425,0.0016778003,0.0000789603,0.022172578,0.012388518,0.03065,0.0519207,0.19958691,0.0052123647],"about_ca_topic_score_codex":0.037057593,"about_ca_topic_score_gemma":0.030424189,"teacher_disagreement_score":0.6838569,"about_ca_system_score_codex":0.0017406353,"about_ca_system_score_gemma":0.0003691997,"threshold_uncertainty_score":0.9998437},"labels":[],"label_agreement":null},{"id":"W4408186016","doi":"10.2196/68572","title":"Implementation of Clinical Practice Guidelines to Prevent Cervical Cancer: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fogarty International Center; National Cancer Institute","keywords":"Preprint; Cervical cancer; Medicine; Cancer; Computer science; Internal medicine; World Wide Web","score_opus":0.2072232992015269,"score_gpt":0.6956882580088853,"score_spread":0.4884649588073584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408186016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76963496,0.009975692,0.005428262,0.17512187,0.0044524297,0.013088542,0.00017119697,0.00017949668,0.021947531],"genre_scores_gemma":[0.93104285,0.0018037985,0.034984604,0.01982558,0.0019628673,0.005811002,0.000018434217,0.00005632994,0.0044945483],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9968953,0.00046693487,0.0012289147,0.000470554,0.0006320096,0.0003062707],"domain_scores_gemma":[0.99664557,0.00047300017,0.00017312306,0.00043354603,0.0020335088,0.00024124344],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023611998,0.00015605509,0.0006380003,0.00015683731,0.000055374072,0.000018022558,0.00019018841,0.00009559942,0.005528823],"category_scores_gemma":[0.0011652715,0.00012599124,0.00017620357,0.0007671726,0.000044372602,0.00008084478,0.00023170945,0.00032523237,0.000010451327],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011744455,0.00094340043,0.06270326,0.000235972,0.00037624713,0.000005791278,0.0004047949,0.00001390936,0.00026959623,0.00009564923,0.069410525,0.8643664],"study_design_scores_gemma":[0.0026735694,0.0008344443,0.66148806,0.000070022375,0.0003548212,0.0000010144722,0.00419105,0.00008701041,0.0034145052,0.00005054515,0.32672498,0.00010997551],"about_ca_topic_score_codex":0.00912044,"about_ca_topic_score_gemma":0.0057626395,"teacher_disagreement_score":0.86425644,"about_ca_system_score_codex":0.00025868864,"about_ca_system_score_gemma":0.0014253436,"threshold_uncertainty_score":0.9974779},"labels":[],"label_agreement":null},{"id":"W4408293635","doi":"10.2196/66801","title":"Usability, Acceptability, and Barriers to Implementation of a Collaborative Agenda-Setting Intervention (CASI) to Promote Person-Centered Ovarian Cancer Care: Development Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Nursing Research","keywords":"Usability; Medicine; Intervention (counseling); System usability scale; Descriptive statistics; Scale (ratio); Psychological intervention; Nursing; Family medicine; Web usability; Computer science","score_opus":0.030173235482036317,"score_gpt":0.3961096444481173,"score_spread":0.365936408966081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408293635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99137175,0.00051615865,0.00012433936,0.002245868,0.0005123213,0.004788393,0.0001890407,0.000033736294,0.00021837413],"genre_scores_gemma":[0.99558705,0.000010558527,0.00037050465,0.0006166996,0.00006073086,0.0031306269,0.000020444682,0.00001835703,0.00018502177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982975,0.00011302035,0.0004524932,0.0005456373,0.00032318357,0.0002681421],"domain_scores_gemma":[0.9988423,0.000018868552,0.000115557224,0.00026138907,0.0005268121,0.00023507244],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00033088974,0.0002063156,0.00038276258,0.00020153672,0.00013517209,0.000044317127,0.0001060874,0.00005449422,0.0010237203],"category_scores_gemma":[0.000060846356,0.00020026336,0.00007261924,0.0008205391,0.000037535192,0.00009651285,0.00016532127,0.00011391869,0.0000012481994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047578005,0.000100996745,0.58063644,0.0005451679,0.00019382015,0.0000024724316,0.16069831,0.0000039835472,0.0009674336,0.000005085545,0.0005240624,0.25584644],"study_design_scores_gemma":[0.0024712493,0.0005147428,0.74259496,0.0003816528,0.00012514515,5.1667814e-7,0.23126613,0.000004558867,0.0108490465,0.0000032635155,0.01161449,0.00017425655],"about_ca_topic_score_codex":0.010872578,"about_ca_topic_score_gemma":0.1880854,"teacher_disagreement_score":0.2556722,"about_ca_system_score_codex":0.0012795548,"about_ca_system_score_gemma":0.0011277538,"threshold_uncertainty_score":0.9998895},"labels":[],"label_agreement":null},{"id":"W4408307058","doi":"10.2196/69663","title":"Identifying Adverse Events in Outpatients With Prostate Cancer Using Pharmaceutical Care Records in Community Pharmacies: Application of Named Entity Recognition","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Topic Modeling","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Pharmacy; Prostate cancer; Pharmaceutical care; Adverse effect; Medical prescription; Pharmacovigilance; Medical record; Family medicine; Pharmacology; Cancer; Internal medicine","score_opus":0.06694827125537767,"score_gpt":0.4024948304460421,"score_spread":0.33554655919066445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408307058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95043653,0.0002297919,0.0479355,0.00006819598,0.00031825382,0.0008753662,0.000019825524,0.00003106572,0.00008547648],"genre_scores_gemma":[0.9953078,0.00010270503,0.0037937413,0.00013624248,0.000015061456,0.0006060704,0.00000927944,0.000007209661,0.000021870515],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873054,0.0001840961,0.0003468249,0.0002826912,0.0002299342,0.00022590962],"domain_scores_gemma":[0.99930793,0.000031418305,0.00015734343,0.00029738186,0.00016821166,0.000037717044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024272435,0.00012228881,0.00018537573,0.00023678945,0.00008201962,0.000011133135,0.00036533354,0.000050991952,0.000010989725],"category_scores_gemma":[0.000010695611,0.00012601783,0.000030286577,0.0007687163,0.0000347461,0.00049596204,0.00018494434,0.0003496867,9.054712e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025093844,0.0002371934,0.756081,0.0008164766,0.000029661194,0.000002410822,0.014689473,0.009667274,0.0026574468,0.00002997973,0.000007570749,0.21553057],"study_design_scores_gemma":[0.008755582,0.000071989896,0.15055965,0.004270094,0.000070862945,0.0000018531307,0.003531593,0.8081799,0.021993104,0.0012798819,0.00059689686,0.000688568],"about_ca_topic_score_codex":0.011722566,"about_ca_topic_score_gemma":0.007539618,"teacher_disagreement_score":0.79851264,"about_ca_system_score_codex":0.00074414106,"about_ca_system_score_gemma":0.00023085752,"threshold_uncertainty_score":0.99485844},"labels":[],"label_agreement":null},{"id":"W4408328987","doi":"10.2196/53539","title":"Mobile Electronic Patient-Reported Outcomes and Interactive Support During Breast and Prostate Cancer Treatment: Health Economic Evaluation From Two Randomized Controlled Trials","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Familjen Kamprads Stiftelse; Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Vetenskapsrådet; Karolinska Institutet; Swedish Cancer Foundation","keywords":"Randomized controlled trial; Medicine; Breast cancer; Health care; Economic evaluation; Psychological intervention; Cost effectiveness; Quality-adjusted life year; Family medicine; Physical therapy; Intervention (counseling); Cancer; Internal medicine; Nursing","score_opus":0.014465205070451643,"score_gpt":0.38054946053064,"score_spread":0.36608425546018836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408328987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9660837,0.021391684,0.000004534397,0.0015725202,0.0006586395,0.009644071,0.00031918028,0.000044579174,0.00028106003],"genre_scores_gemma":[0.9723193,0.009165846,0.0000032985376,0.00042856304,0.00014352454,0.015906569,0.00011466075,0.000022220496,0.0018959994],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99744815,0.0005227348,0.0010253448,0.00048779257,0.0001904682,0.00032552503],"domain_scores_gemma":[0.998303,0.0004915576,0.00073125004,0.00021215944,0.00013719231,0.00012483264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010276444,0.00029232068,0.0028283636,0.00017197948,0.00009839171,0.000054035456,0.000028947668,0.00006072401,0.0007815849],"category_scores_gemma":[0.00008722581,0.00019622759,0.00033989322,0.00007790869,0.00006924865,0.00012460556,0.000025623254,0.00013281862,0.0000012704744],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.43012497,0.00016153746,0.188425,0.0001417907,0.008623358,0.000008281718,0.012172346,0.00009680358,0.00045792112,0.000032275067,0.0003147132,0.359441],"study_design_scores_gemma":[0.9345079,0.00055163907,0.052617557,0.000569469,0.0038266224,0.000016763956,0.0015669678,0.0013993416,0.0009769278,0.00026845874,0.0033645725,0.00033377315],"about_ca_topic_score_codex":0.03381934,"about_ca_topic_score_gemma":0.02452297,"teacher_disagreement_score":0.50438297,"about_ca_system_score_codex":0.0020789283,"about_ca_system_score_gemma":0.0023491962,"threshold_uncertainty_score":0.99327695},"labels":[],"label_agreement":null},{"id":"W4408613126","doi":"10.2196/63347","title":"Using ChatGPT to Improve the Presentation of Plain Language Summaries of Cochrane Systematic Reviews About Oncology Interventions: Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Readability; Plain language; Psychological intervention; Systematic review; Consistency (knowledge bases); Medicine; Population; MEDLINE; Psychology; Medical education; Computer science; Artificial intelligence; Linguistics; Nursing","score_opus":0.27396324321112514,"score_gpt":0.605702364365505,"score_spread":0.3317391211543798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408613126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857651,0.0076085986,0.0005661142,0.00044919923,0.00090796506,0.004590729,0.000016039758,0.0000073276688,0.0000889381],"genre_scores_gemma":[0.997237,0.0001748742,0.00009033397,0.00016328791,0.00014888072,0.0013763239,0.0000075836883,0.0000048677525,0.00079683313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99852175,0.00020228686,0.00089110446,0.00013192912,0.00015747538,0.00009543327],"domain_scores_gemma":[0.9987738,0.0003119869,0.00033240617,0.00022354645,0.00033097505,0.000027261649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009142867,0.000068148875,0.0003705226,0.00008817298,0.00007210749,0.000012099557,0.00007701268,0.00005306271,0.0001324796],"category_scores_gemma":[0.0007400163,0.000046021574,0.00010723216,0.00028832126,0.00006940239,0.00004969582,0.000026315123,0.00011361911,0.0000055226296],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000827506,0.0013990428,0.7814806,0.117784485,0.00035511254,0.0000028130125,0.058830872,0.00029638645,0.01387394,0.00065206137,0.0010506314,0.023446543],"study_design_scores_gemma":[0.000774949,0.0025556765,0.79996246,0.06523612,0.00089216756,0.00001219939,0.08246646,0.0016076233,0.044643484,0.0004395854,0.0011192928,0.00028997308],"about_ca_topic_score_codex":0.0070343483,"about_ca_topic_score_gemma":0.0030047295,"teacher_disagreement_score":0.052548364,"about_ca_system_score_codex":0.00022574652,"about_ca_system_score_gemma":0.00023300864,"threshold_uncertainty_score":0.9995779},"labels":[],"label_agreement":null},{"id":"W4408664434","doi":"10.2196/62833","title":"Association Between Risk Factors and Major Cancers: Explainable Machine Learning Approach","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"AI in cancer detection","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Association (psychology); Risk factor; Cancer; Protective factor; Factor (programming language); Medicine; Oncology; Psychology; Computer science; Internal medicine; World Wide Web","score_opus":0.013740002775210761,"score_gpt":0.26878272529189196,"score_spread":0.2550427225166812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408664434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5950649,0.0035621382,0.38732946,0.0014511416,0.0014814023,0.0009977453,0.000060098802,0.00075490883,0.009298212],"genre_scores_gemma":[0.9910553,0.0004211114,0.0022727447,0.0000971574,0.00019080515,0.00032747333,0.0000069627513,0.000014461652,0.0056140022],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864733,0.000120221215,0.0001883005,0.00046259095,0.00026280957,0.00031874984],"domain_scores_gemma":[0.9992528,0.00013876462,0.00022539287,0.00024355993,0.00007695792,0.00006254024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030663155,0.00016713794,0.00021678848,0.00015059415,0.00035826108,0.00016976171,0.00030918478,0.0001291187,0.000022424027],"category_scores_gemma":[0.000055379653,0.00015554264,0.000049757873,0.00061974255,0.000022760129,0.00049106305,0.00018227099,0.00040911618,0.0000035313508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072003436,0.000009682775,0.9601413,0.000056758003,0.00015778615,3.7842156e-7,0.00092890114,0.0015128391,0.00004754755,0.0002741704,0.0023398877,0.034523565],"study_design_scores_gemma":[0.0016813719,0.0001717667,0.6753166,0.00013164271,0.00019253837,9.887488e-7,0.0003277319,0.13498403,0.005459778,0.0021298667,0.17883983,0.00076389854],"about_ca_topic_score_codex":0.0072165937,"about_ca_topic_score_gemma":0.00032582512,"teacher_disagreement_score":0.39599037,"about_ca_system_score_codex":0.0017167924,"about_ca_system_score_gemma":0.00016856896,"threshold_uncertainty_score":0.9993944},"labels":[],"label_agreement":null},{"id":"W4408700593","doi":"10.2196/65848","title":"Chatbot for the Return of Positive Genetic Screening Results for Hereditary Cancer Syndromes: Prompt Engineering Project","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Preprint; Medicine; World Wide Web; Computer science","score_opus":0.05523665990685044,"score_gpt":0.42946233644915693,"score_spread":0.3742256765423065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408700593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56933343,0.09231509,0.076186396,0.057421155,0.04261278,0.08548609,0.054064203,0.0008911011,0.021689769],"genre_scores_gemma":[0.95862347,0.000025063602,0.0019541695,0.00037083498,0.00036847987,0.027042644,0.000054008393,0.000047533827,0.011513798],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987905,0.000020740483,0.00043550762,0.0003096602,0.00010010563,0.0003434801],"domain_scores_gemma":[0.99908924,0.00033664654,0.00015686786,0.00025768354,0.00012548713,0.00003407459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001586388,0.00014611294,0.00021235127,0.000109650035,0.00009034509,0.000017711967,0.00021532328,0.0000805062,0.000031468953],"category_scores_gemma":[0.00004043146,0.00011662261,0.0001664396,0.00024298477,0.00004797861,0.000068946225,0.000044413988,0.00011061049,0.0000014259833],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009133894,0.0011543503,0.0023687484,0.007274592,0.003975639,0.000024562592,0.009124333,0.0018404591,0.00063039357,0.011216281,0.3614376,0.59181917],"study_design_scores_gemma":[0.028447919,0.008588474,0.4531305,0.03060375,0.001404148,0.000103139726,0.0066074096,0.032593574,0.018015396,0.0039833095,0.41417605,0.0023463129],"about_ca_topic_score_codex":0.0011335101,"about_ca_topic_score_gemma":0.00036149973,"teacher_disagreement_score":0.58947283,"about_ca_system_score_codex":0.00016199626,"about_ca_system_score_gemma":0.0001266034,"threshold_uncertainty_score":0.47557318},"labels":[],"label_agreement":null},{"id":"W4408703825","doi":"10.2196/53690","title":"Co-Designing a User-Centered Digital Health Tool for Supportive Care Needs of Patients With Brain Tumors and Their Caregivers: Interview Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Medicine; Digital health; Nursing; Psychology; Health care; World Wide Web; Computer science","score_opus":0.014888966775092213,"score_gpt":0.3062148109808275,"score_spread":0.29132584420573526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408703825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897971,0.0024893517,0.0029847168,0.000968357,0.000088749606,0.00157114,0.0017577285,0.000033334672,0.00030951024],"genre_scores_gemma":[0.99790275,0.0000386773,0.000020555244,0.00088592834,0.000024532566,0.00026574504,0.00040449027,0.000016937536,0.00044040568],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911964,0.00003393719,0.00026772276,0.00022286324,0.00013513607,0.00022068809],"domain_scores_gemma":[0.9991709,0.000059379814,0.00017254338,0.00020676285,0.00030433395,0.00008606335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006925278,0.00017225205,0.0005732159,0.00029019546,0.000050565865,0.000028986618,0.00006918881,0.000042301108,0.00003962629],"category_scores_gemma":[0.0000150256255,0.00012752514,0.00017836696,0.0006504757,0.00006987997,0.0001084137,0.000025958221,0.00008202267,1.6097236e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010496869,0.00009972449,0.8566491,0.0025319252,0.0014559807,0.0000015966258,0.049366973,0.000006000302,0.00002241805,0.00002576877,0.0029189545,0.08587189],"study_design_scores_gemma":[0.01320108,0.0035565875,0.70089906,0.0057206717,0.0013614956,0.000001468118,0.21813793,0.000059667444,0.0021228152,0.000019919355,0.054249972,0.0006693402],"about_ca_topic_score_codex":0.0006289588,"about_ca_topic_score_gemma":0.001939844,"teacher_disagreement_score":0.16877097,"about_ca_system_score_codex":0.00028189796,"about_ca_system_score_gemma":0.00037752965,"threshold_uncertainty_score":0.5200324},"labels":[],"label_agreement":null},{"id":"W4409004024","doi":"10.2196/69672","title":"AI-Based Identification Method for Cervical Transformation Zone Within Digital Colposcopy: Development and Multicenter Validation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Colposcopy; Medicine; Cervical cancer; Radiology; Artificial intelligence; Cervical screening; Segmentation; Medical physics; Gynecology; Cancer; Computer science; Internal medicine","score_opus":0.03598926416719532,"score_gpt":0.440047242969019,"score_spread":0.40405797880182365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409004024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5390847,0.00017541111,0.44498137,0.0072001405,0.0002873697,0.0070442646,0.00006744752,0.00009276878,0.0010665783],"genre_scores_gemma":[0.9938308,0.0000040041186,0.0021822967,0.00080474,0.000053575866,0.0022420462,0.00013636707,0.000012410897,0.0007337795],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989008,0.00003366833,0.00035328316,0.00025804772,0.00029299982,0.0001612486],"domain_scores_gemma":[0.99935406,0.00007779768,0.000048620994,0.0001311461,0.00030578187,0.00008258844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003329946,0.00010764757,0.00019179082,0.0001442196,0.000112563575,0.00011069215,0.000053284966,0.000062610394,0.00021427847],"category_scores_gemma":[0.000032060965,0.00009250284,0.000039877297,0.00023545497,0.000024945839,0.00018375652,0.000016044281,0.00012320741,0.000005965246],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0072258506,0.0018262485,0.053936515,0.0028482834,0.0003327624,0.0000025904808,0.009050458,0.00019836269,0.004045958,0.00042499806,0.001522973,0.918585],"study_design_scores_gemma":[0.021260437,0.0007004412,0.698393,0.00023048685,0.00032294416,0.0000012922233,0.0022749822,0.063849494,0.16866887,0.00015916715,0.043760262,0.00037863836],"about_ca_topic_score_codex":0.000049807986,"about_ca_topic_score_gemma":0.00019420785,"teacher_disagreement_score":0.91820633,"about_ca_system_score_codex":0.00026032003,"about_ca_system_score_gemma":0.00032890993,"threshold_uncertainty_score":0.37721565},"labels":[],"label_agreement":null},{"id":"W4409009633","doi":"10.2196/65960","title":"Comparison of Electronic Surveillance With Routine Monitoring for Patients With Lymphoma at High Risk of Relapse: Prospective Randomized Controlled Phase 3 Trial (Sentinel Lymphoma)","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Lymphoma; Medicine; Randomized controlled trial; Oncology; Internal medicine; Computer science; World Wide Web","score_opus":0.00732586127017113,"score_gpt":0.31713566395221904,"score_spread":0.3098098026820479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409009633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876376,0.0022136152,0.00033487778,0.00008075171,0.00059043785,0.008699673,0.00013158667,0.000043453692,0.00026801505],"genre_scores_gemma":[0.99375933,0.00016646154,0.00004913036,0.000016868831,0.00022601576,0.0046602134,0.00005479518,0.00003961294,0.0010275544],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9977139,0.00017351826,0.00079953816,0.00041955643,0.0005030531,0.0003904266],"domain_scores_gemma":[0.9970949,0.00058956095,0.0009945577,0.00037214695,0.00087612995,0.00007265492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047225205,0.00030767565,0.0026372208,0.00014642083,0.000093653594,0.000010874201,0.00011040469,0.000110703215,0.000028961127],"category_scores_gemma":[0.0001917005,0.00019932528,0.00036365745,0.00043444536,0.00018067722,0.00005325317,0.00003150058,0.00009710257,3.1515273e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.5999918,0.0009237196,0.39541265,0.00017810291,0.0012923917,4.7938e-7,0.00029145135,0.000024267034,0.00005351344,0.000082763145,0.00007892691,0.0016699668],"study_design_scores_gemma":[0.8957313,0.0022129605,0.0950242,0.00046862545,0.0010934086,3.6076517e-7,0.000114026516,0.0002883988,0.004575089,0.00002903117,0.00027771498,0.00018491669],"about_ca_topic_score_codex":0.0012514706,"about_ca_topic_score_gemma":0.0012047191,"teacher_disagreement_score":0.30038843,"about_ca_system_score_codex":0.0007560301,"about_ca_system_score_gemma":0.00068712793,"threshold_uncertainty_score":0.8128249},"labels":[],"label_agreement":null},{"id":"W4409057567","doi":"10.2196/57388","title":"Perceptions and Needs of Stakeholders Regarding MyPal Project’s Electronic Patient-Reported Outcome App: Cross-Sectional Qualitative Focus Group Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Focus (optics); Perception; Focus group; Business; Psychology; Marketing; Computer science; World Wide Web","score_opus":0.10830433392986352,"score_gpt":0.4378941115241698,"score_spread":0.3295897775943063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409057567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99409926,0.00063536764,0.00028095633,0.00069900893,0.00036839908,0.0023316587,0.0000647306,0.00012505222,0.0013955411],"genre_scores_gemma":[0.9966929,0.00003661621,0.0000807268,0.00041629613,0.00014258681,0.00083526416,0.00002794014,0.000032345022,0.0017353537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972364,0.0002564533,0.0010036479,0.0004549265,0.0006235505,0.00042505996],"domain_scores_gemma":[0.99862033,0.00020191386,0.00036303536,0.00039579207,0.00032142972,0.000097485055],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000790152,0.0002667799,0.000610977,0.000475567,0.00019464521,0.000045680838,0.00010134697,0.00012460466,0.00014447529],"category_scores_gemma":[0.00019138557,0.00025210512,0.00018476085,0.0008418226,0.00023808617,0.00017884815,0.00008683074,0.00046444673,0.0000018625244],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007607754,0.0007010931,0.9169202,0.00029827585,0.00081729685,0.0000044687886,0.07646684,0.000009285702,0.0005418751,0.0006929324,0.0010040388,0.0017829529],"study_design_scores_gemma":[0.0049501713,0.0011196947,0.8674985,0.00017747768,0.00021738691,0.000012960802,0.12343453,0.000017990664,0.00009374894,0.00025333863,0.0019635921,0.000260563],"about_ca_topic_score_codex":0.004656643,"about_ca_topic_score_gemma":0.002703732,"teacher_disagreement_score":0.049421616,"about_ca_system_score_codex":0.0005998368,"about_ca_system_score_gemma":0.0006494878,"threshold_uncertainty_score":0.99999315},"labels":[],"label_agreement":null},{"id":"W4409313677","doi":"10.2196/64697","title":"A Deep Learning–Enabled Workflow to Estimate Real-World Progression-Free Survival in Patients With Metastatic Breast Cancer: Study Using Deidentified Electronic Health Records","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Metastatic breast cancer; Progression-free survival; Palbociclib; Medicine; Workflow; Breast cancer; Artificial intelligence; Tumor progression; Cancer; Oncology; Internal medicine; Machine learning; Computer science; Database; Overall survival","score_opus":0.014850305271766921,"score_gpt":0.38214682053305904,"score_spread":0.36729651526129214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409313677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98949224,0.0012440898,0.0010760233,0.0019737536,0.0004636048,0.005417927,0.000031504227,0.00019413736,0.00010669446],"genre_scores_gemma":[0.9910917,0.000100162346,0.0036229857,0.0004924822,0.00012115427,0.002921036,0.000025234298,0.00011999397,0.0015052289],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963714,0.00026575383,0.00064111094,0.00083609496,0.0007512135,0.0011344597],"domain_scores_gemma":[0.99829245,0.00007358353,0.0003436486,0.00067559007,0.00034869357,0.00026601148],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045219058,0.00045314018,0.0009994395,0.0006240116,0.00023663875,0.00006032353,0.0002911763,0.000048445723,0.0001956638],"category_scores_gemma":[0.000038045106,0.00037215956,0.00007389661,0.0025035085,0.00007096487,0.00021957645,0.00015626088,0.00062731496,0.0000036796007],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006591252,0.000841291,0.8003455,0.00026600139,0.00037507564,0.00001846767,0.0008282372,0.0075958306,0.00002537374,0.000019866138,0.00006927228,0.18302386],"study_design_scores_gemma":[0.0124582155,0.00089367596,0.9807292,0.002752379,0.00019290898,0.0000035740995,0.00037947952,0.0011669158,0.000024777977,0.00014226804,0.0008765467,0.0003800473],"about_ca_topic_score_codex":0.009662121,"about_ca_topic_score_gemma":0.10809686,"teacher_disagreement_score":0.1826438,"about_ca_system_score_codex":0.0039354814,"about_ca_system_score_gemma":0.0018173624,"threshold_uncertainty_score":0.99988824},"labels":[],"label_agreement":null},{"id":"W4409323164","doi":"10.2196/65566","title":"Ethical Design of Data-Driven Decision Support Tools for Improving Cancer Care: Embedded Ethics Review of the 4D PICTURE Project","year":2025,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"HORIZON EUROPE Framework Programme; European Commission; UK Research and Innovation","keywords":"Experiential learning; Conversation; Inclusion (mineral); Psychology; Engineering ethics; Knowledge management; Medicine; Computer science; Engineering","score_opus":0.5685414018723811,"score_gpt":0.6186122102543783,"score_spread":0.05007080838199718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409323164","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000001608417,0.981198,0.0039066556,0.0017295784,0.0013776764,0.01071923,0.0010121695,0.000017374781,0.000037683756],"genre_scores_gemma":[0.000013191691,0.9881788,0.0036901261,0.0026793885,0.00066645886,0.004032355,0.0004881854,0.000044870914,0.00020664517],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964812,0.00043367327,0.0015464142,0.00061098934,0.0006223155,0.0003054494],"domain_scores_gemma":[0.9925943,0.003393889,0.001054007,0.0014441571,0.0014397708,0.00007385278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015476507,0.00034151803,0.0019095077,0.00012445988,0.00014413089,0.000021950436,0.0007499523,0.0012880777,0.00016549617],"category_scores_gemma":[0.0051254216,0.00020569205,0.00048725083,0.000693181,0.0001642428,0.00010073909,0.00021091697,0.0020222706,0.0000013965223],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003949223,0.000019533813,0.000003975927,0.3525639,0.000055513294,3.8774726e-7,0.00073189574,0.000003392273,0.0000013789888,0.000024297085,0.013061609,0.6334946],"study_design_scores_gemma":[0.00004302226,0.00011944627,0.0000015136885,0.30739164,0.0018078462,0.0000035370444,0.00022427712,0.00004985516,0.00006053044,0.000027011214,0.69012177,0.0001495473],"about_ca_topic_score_codex":0.0008721822,"about_ca_topic_score_gemma":0.00037994073,"teacher_disagreement_score":0.6770602,"about_ca_system_score_codex":0.0005300076,"about_ca_system_score_gemma":0.03250792,"threshold_uncertainty_score":0.9934835},"labels":[],"label_agreement":null},{"id":"W4409475962","doi":"10.2196/71596","title":"Family Experiences, Needs, and Perceptions in Home-Based Hospice Care for Patients With Terminal Cancer: Meta-Synthesis and Systematic Review","year":2025,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Terminal cancer; Terminal (telecommunication); Perception; Cancer; Phase (matter); Hospice care; Psychology; Nursing; Gerontology; Medicine; Palliative care; Computer science; Internal medicine; World Wide Web; Telecommunications","score_opus":0.09089333730920807,"score_gpt":0.4361301553066041,"score_spread":0.34523681799739603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409475962","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001110824,0.99212664,0.0000065915387,0.00004769816,0.00007216499,0.0060239797,0.00055279536,0.000013783371,0.000045507903],"genre_scores_gemma":[0.00021459856,0.9327044,0.00023999088,0.00025517444,0.000037917856,0.066316776,0.00007338464,0.000027788506,0.00012998111],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9984288,0.0001154236,0.0006284065,0.00037409665,0.0002471549,0.00020612327],"domain_scores_gemma":[0.99853736,0.0004355102,0.00038126664,0.00029375617,0.00026119663,0.00009091351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010167794,0.00040376035,0.0038816866,0.0002752047,0.00005057317,0.0000146492575,0.00011230316,0.00013916157,0.000058067897],"category_scores_gemma":[0.00014165419,0.00024392291,0.00030060136,0.00046877918,0.00010738975,0.00005411298,0.000025917667,0.00014267261,3.8589602e-7],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021166537,0.000033121407,0.0020712547,0.9264162,0.0004893422,0.0000024808692,0.0015982674,6.819879e-8,2.1235662e-8,0.0000011880227,0.0003876122,0.068979286],"study_design_scores_gemma":[0.00045013556,0.00013305778,0.0002541053,0.8116817,0.019277379,8.6098436e-7,0.0021064961,7.848095e-7,4.053369e-7,2.0591509e-7,0.16585898,0.00023589427],"about_ca_topic_score_codex":0.00035001794,"about_ca_topic_score_gemma":0.00023090722,"teacher_disagreement_score":0.16547137,"about_ca_system_score_codex":0.00025062467,"about_ca_system_score_gemma":0.00064228225,"threshold_uncertainty_score":0.99468875},"labels":[],"label_agreement":null},{"id":"W4409491863","doi":"10.2196/63677","title":"Assessing the Quality and Reliability of ChatGPT’s Responses to Radiotherapy-Related Patient Queries: Comparative Study With GPT-3.5 and GPT-4","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Readability; Quality Score; Likert scale; Reliability (semiconductor); Misinformation; Quality (philosophy); Computer science; Medicine; Comprehension; Medical physics; Metric (unit); Statistics; Mathematics","score_opus":0.17611220545904568,"score_gpt":0.54766975135184,"score_spread":0.3715575458927943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409491863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879057,0.0009853297,0.00007814554,0.009064586,0.0001339889,0.0016396738,0.0000044767685,0.000016016464,0.00017211659],"genre_scores_gemma":[0.99846756,0.00009021534,0.00015057127,0.0007647866,0.000026330745,0.00029147032,0.000001021258,0.000005255003,0.00020278276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886346,0.00026156992,0.00037241913,0.0002320332,0.00015331183,0.00011721676],"domain_scores_gemma":[0.9988788,0.00044346612,0.00011359384,0.00024486106,0.0002585333,0.000060745067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004877963,0.000095604766,0.00027350383,0.00006008948,0.00014288486,0.000026332833,0.00003452385,0.000043583103,0.000029842002],"category_scores_gemma":[0.0001264623,0.000057741003,0.000016287084,0.00030327565,0.00019650527,0.00008096407,0.000019261299,0.00013554633,3.4657643e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018866052,0.00032040142,0.8525375,0.00015798869,0.00006908866,8.8243985e-7,0.11067339,0.000035929294,0.00060012954,0.00009910392,0.00037290296,0.033246037],"study_design_scores_gemma":[0.00015435308,0.0010902487,0.91845304,0.00030118632,0.00003876272,0.0000014477383,0.0750518,0.00009534807,0.0025302882,0.00014679311,0.002059924,0.00007679685],"about_ca_topic_score_codex":0.0044270074,"about_ca_topic_score_gemma":0.0006741528,"teacher_disagreement_score":0.06591551,"about_ca_system_score_codex":0.00013145736,"about_ca_system_score_gemma":0.0003494548,"threshold_uncertainty_score":0.66923404},"labels":[],"label_agreement":null},{"id":"W4409604025","doi":"10.2196/67131","title":"Internet-Based Cognitive Behavioral Therapy Interventions for Caregivers of Patients With Cancer: Scoping Review","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; The Internet; Psychological intervention; Cognitive behavioral therapy; Psychology; Medicine; Psychotherapist; Cognition; Gerontology; Psychiatry; Computer science; World Wide Web","score_opus":0.06288031281379247,"score_gpt":0.42128419744230583,"score_spread":0.35840388462851336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8188938,0.16556938,0.0018035033,0.0012988015,0.0011424313,0.00941772,0.0010865135,0.00007436743,0.00071347115],"genre_scores_gemma":[0.98830944,0.004811776,0.000028785387,0.0014247964,0.00003964606,0.0043848017,0.0001636571,0.000020913978,0.0008162043],"study_design_codex":"observational","study_design_gemma":"systematic_review","domain_scores_codex":[0.9992295,0.000022403152,0.00023384222,0.0002148944,0.00015345358,0.0001459166],"domain_scores_gemma":[0.9990904,0.00003866819,0.00013899604,0.00013901189,0.0005469218,0.00004604966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000046912894,0.00012767057,0.0003772282,0.000089570865,0.000028184008,0.0000063939437,0.000067774956,0.000042357733,0.00056439434],"category_scores_gemma":[0.0000087610315,0.00010192363,0.00023809535,0.00024454168,0.000074608804,0.000043063505,0.000014344235,0.000084917396,4.9776907e-7],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004428647,0.00094777043,0.6347305,0.054088503,0.00043356637,0.000002923877,0.0013854372,0.0000043311975,0.0000291996,0.00003537729,0.008399317,0.2955144],"study_design_scores_gemma":[0.014146731,0.0021725171,0.107652746,0.8610644,0.0013510198,1.9710897e-7,0.0007012928,0.000016280403,0.004459329,0.0000050603053,0.008056224,0.00037423184],"about_ca_topic_score_codex":0.002406801,"about_ca_topic_score_gemma":0.011082593,"teacher_disagreement_score":0.80697584,"about_ca_system_score_codex":0.00018211507,"about_ca_system_score_gemma":0.00049408997,"threshold_uncertainty_score":0.6184347},"labels":[],"label_agreement":null},{"id":"W4409619030","doi":"10.2196/72522","title":"Evaluating an AI Chatbot “Prostate Cancer Info” for Providing Quality Prostate Cancer Screening Information: Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Prostate cancer; Chatbot; Medicine; Quality (philosophy); Computer science; Cancer; World Wide Web; Internal medicine","score_opus":0.3580154689594601,"score_gpt":0.6265171370645302,"score_spread":0.26850166810507003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409619030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848734,0.00064940413,0.00072571007,0.0055809603,0.0019809047,0.0057505523,0.00016951401,0.00013499447,0.00013454807],"genre_scores_gemma":[0.97606915,0.000138478,0.0005257098,0.0038224924,0.0010984851,0.015453036,0.00012769263,0.00002613738,0.0027387908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99720377,0.00010113001,0.0011708218,0.00044542056,0.00056367234,0.00051520753],"domain_scores_gemma":[0.99713176,0.0001541864,0.00040160393,0.00032846807,0.0018114995,0.00017244958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014785429,0.0002436431,0.00035365394,0.00023270257,0.00072360435,0.00025465956,0.00013783832,0.00014454212,0.00032772438],"category_scores_gemma":[0.00030376262,0.0002275083,0.000099502606,0.00056931935,0.00008664089,0.0013011639,0.000051964107,0.00037623403,0.000008170026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012336017,0.00012853586,0.741739,0.0006121071,0.00008711875,3.0886463e-7,0.012527253,0.0025587175,0.0002526326,0.00008244343,0.00066549197,0.24011283],"study_design_scores_gemma":[0.0010425581,0.0007293638,0.9530517,0.00062145124,0.00010492761,0.000001507005,0.008589091,0.012289237,0.0034296375,0.00046192575,0.019300371,0.00037825372],"about_ca_topic_score_codex":0.0324883,"about_ca_topic_score_gemma":0.0071503073,"teacher_disagreement_score":0.23973458,"about_ca_system_score_codex":0.0009927814,"about_ca_system_score_gemma":0.0025694077,"threshold_uncertainty_score":0.97395444},"labels":[],"label_agreement":null},{"id":"W4409785349","doi":"10.2196/57834","title":"Co-Designing Priority Components of an mHealth Intervention to Enhance Follow-Up Care in Young Adult Survivors of Childhood Cancer and Health Care Providers: Qualitative Descriptive Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Alberta Children's Hospital; University of British Columbia; University of Alberta; Dalhousie University; University of Toronto; BC Children's Hospital; University of Calgary; Simon Fraser University","funders":"","keywords":"Focus group; mHealth; Thematic analysis; Intervention (counseling); Outreach; Receipt; Health care; Qualitative research; Medicine; Family medicine; Nursing; Psychology; Gerontology; Psychological intervention","score_opus":0.042084964243729844,"score_gpt":0.44622372931610355,"score_spread":0.4041387650723737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409785349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858828,0.0062315823,0.00014237991,0.0012370031,0.0005457101,0.0054707616,0.00033921524,0.00004939528,0.00010112948],"genre_scores_gemma":[0.9975417,0.00018477894,0.00052224164,0.0005428922,0.00007850705,0.00094528607,0.00008068664,0.000041115665,0.00006278666],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9956649,0.0010386138,0.0013063471,0.00082546583,0.0006959045,0.00046876274],"domain_scores_gemma":[0.99762845,0.000116909236,0.0006862561,0.0004723825,0.0008315967,0.00026440356],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011454117,0.00036137798,0.0012908492,0.0004593917,0.00012372657,0.000021901034,0.00021208757,0.000118276446,0.000014076353],"category_scores_gemma":[0.00015160092,0.0003759447,0.0001418797,0.0007768671,0.00012933684,0.00027294108,0.0000873927,0.00041968524,5.2794894e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014533604,0.0008542259,0.30151254,0.0040437425,0.0002142881,0.000002025318,0.6758213,0.00001243992,0.00037755992,0.000022167524,0.000106938816,0.0155794],"study_design_scores_gemma":[0.00417579,0.0020279316,0.5378896,0.004930267,0.00007023854,4.799154e-7,0.4476483,0.0000062615486,0.0030339458,0.000014412157,0.000017838862,0.0001849347],"about_ca_topic_score_codex":0.37617028,"about_ca_topic_score_gemma":0.616258,"teacher_disagreement_score":0.24008773,"about_ca_system_score_codex":0.0018116845,"about_ca_system_score_gemma":0.0014171341,"threshold_uncertainty_score":0.9998692},"labels":[],"label_agreement":null},{"id":"W4409882724","doi":"10.2196/70827","title":"Examining How Technology Supports Shared Decision-Making in Oncology Consultations: Qualitative Thematic Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Thematic analysis; Qualitative research; Medicine; Psychology; Medical education; Oncology; Computer science; Sociology; World Wide Web","score_opus":0.24710283325617716,"score_gpt":0.5692847521184434,"score_spread":0.32218191886226627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409882724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89434147,0.011231998,0.008321308,0.0630381,0.0015294948,0.0073244153,0.00030943274,0.00057261746,0.013331147],"genre_scores_gemma":[0.97838384,0.00013860529,0.009771174,0.0017208726,0.000021835951,0.009239567,0.000042979744,0.000018405906,0.00066272944],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9961539,0.0016048386,0.0010436188,0.000456265,0.00022619567,0.00051521556],"domain_scores_gemma":[0.98765695,0.010042471,0.0006970849,0.00088523276,0.00065582676,0.0000624189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066791556,0.00018599925,0.00065820984,0.0019353167,0.00055726734,0.0000142139725,0.0004878617,0.00042800597,0.0007707145],"category_scores_gemma":[0.0038671386,0.00017860325,0.0000693869,0.0047741085,0.00015720299,0.00018377445,0.00032501822,0.0009160811,0.000039596925],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018570622,0.00019431282,0.52953905,0.0007933045,0.0005720614,0.000016213842,0.3765032,0.00022592874,0.00008658459,0.01018263,0.009362874,0.07233814],"study_design_scores_gemma":[0.0021673464,0.00011065435,0.093942985,0.005077934,0.00025839626,8.032877e-7,0.85162485,0.0031680483,0.000013745415,0.031074716,0.012163667,0.000396864],"about_ca_topic_score_codex":0.00037702313,"about_ca_topic_score_gemma":0.0093959635,"teacher_disagreement_score":0.47512165,"about_ca_system_score_codex":0.0015121447,"about_ca_system_score_gemma":0.0017365473,"threshold_uncertainty_score":0.8438783},"labels":[],"label_agreement":null},{"id":"W4409914844","doi":"10.2196/69783","title":"Assessing ChatGPT’s Educational Potential in Lung Cancer Radiotherapy From Clinician and Patient Perspectives: Content Quality and Readability Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Readability; Lung cancer; Medicine; Radiation therapy; Medical physics; Oncology; Internal medicine; Computer science; World Wide Web","score_opus":0.1703361930491784,"score_gpt":0.5464684036842778,"score_spread":0.37613221063509944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409914844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95294595,0.01743514,0.00031127981,0.028247697,0.0004338666,0.0005128393,0.000025359015,0.000011364234,0.000076524375],"genre_scores_gemma":[0.99466693,0.0023952464,0.00028440158,0.0019109206,0.000281945,0.00032327656,0.00001807385,0.0000064810692,0.00011269889],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864054,0.00012891126,0.00048470596,0.0004238844,0.00015441624,0.00016754417],"domain_scores_gemma":[0.9991486,0.00020393994,0.0001327646,0.00018809513,0.00023404842,0.00009252801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020434313,0.000112563925,0.00034169666,0.0001897144,0.00010046188,0.000052798157,0.00003348629,0.00009896684,0.00034411217],"category_scores_gemma":[0.00010079404,0.000102203165,0.00006874823,0.00040860634,0.0001242446,0.00014397418,0.000015667181,0.00018834928,2.0543017e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018497,0.00019658089,0.8749395,0.00007516798,0.00023939207,5.3891193e-7,0.009069112,0.000047844384,0.0004488898,0.000081334074,0.00020763975,0.11450903],"study_design_scores_gemma":[0.00010811552,0.000027829878,0.9773492,0.00017951793,0.00017594222,2.0620536e-7,0.017949944,0.0033534197,0.000225684,0.00033475237,0.00020168888,0.000093704395],"about_ca_topic_score_codex":0.092520654,"about_ca_topic_score_gemma":0.012456251,"teacher_disagreement_score":0.114415325,"about_ca_system_score_codex":0.0007532389,"about_ca_system_score_gemma":0.0007057296,"threshold_uncertainty_score":0.9135223},"labels":[],"label_agreement":null},{"id":"W4410023308","doi":"10.2196/67902","title":"Examining Demographic, Geographic, and Temporal Patterns of Melanoma Incidence in Texas From 2000 to 2018: Retrospective Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Demography; Incidence (geometry); Ethnic group; Cancer registry; Population; Medicine; Cluster (spacecraft); Geography","score_opus":0.015359567681835088,"score_gpt":0.2902619150919223,"score_spread":0.2749023474100872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410023308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967105,0.00043902523,0.00007030986,0.000387569,0.00022233672,0.0012939015,0.000025334946,0.00003687926,0.00081416866],"genre_scores_gemma":[0.99798995,0.0001055398,0.00007631622,0.00044666688,0.0000531164,0.0002184839,0.0000033593808,0.000012078228,0.0010944962],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885845,0.000043577107,0.00029843912,0.00039804634,0.0002221296,0.00017933619],"domain_scores_gemma":[0.999468,0.000033161006,0.000078709505,0.0002790749,0.000059250808,0.00008175421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014546259,0.00014552729,0.00035699064,0.00059759046,0.00003373117,0.000016333157,0.00008127649,0.000060815033,0.00022184163],"category_scores_gemma":[0.000023379855,0.00013626061,0.000039436167,0.0006293625,0.000035442026,0.000044082964,0.00011196792,0.0001707608,0.0000032217156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027985888,0.00018693287,0.9914264,0.0000397014,0.00012596016,0.00008633962,0.0010043818,0.0000025960076,0.0005141937,0.0000143373745,0.0003579672,0.005961305],"study_design_scores_gemma":[0.0013562683,0.0006010634,0.9939671,0.0003187013,0.000070781265,0.0000035141513,0.0016801585,0.000027002721,0.00018941009,0.000057947014,0.0016137824,0.00011428009],"about_ca_topic_score_codex":0.015579851,"about_ca_topic_score_gemma":0.021959215,"teacher_disagreement_score":0.0063793645,"about_ca_system_score_codex":0.0001595687,"about_ca_system_score_gemma":0.000061117855,"threshold_uncertainty_score":0.99588746},"labels":[],"label_agreement":null},{"id":"W4410024765","doi":"10.2196/64083","title":"A Digital Home-Based Health Care Center for Remote Monitoring of Side Effects During Breast Cancer Therapy: Prospective, Single-Arm, Monocentric Feasibility Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Breast cancer; Prospective cohort study; Telemedicine; Quality of life (healthcare); Cancer; Physical therapy; Health care; Internal medicine; Nursing","score_opus":0.020464617720037114,"score_gpt":0.34140423616242677,"score_spread":0.32093961844238966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410024765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832037,0.008179362,0.000061568586,0.0006384535,0.0011484046,0.0058440613,0.0005606303,0.00011043249,0.00025336593],"genre_scores_gemma":[0.9978612,0.00012564565,0.0000311087,0.00023418656,0.00038301674,0.0010068979,0.000020490095,0.000051020157,0.00028645401],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980845,0.000056379606,0.0003992613,0.00062284205,0.00035626086,0.0004807811],"domain_scores_gemma":[0.9985327,0.00007832952,0.00019097421,0.00047639204,0.0005644056,0.00015719836],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009043397,0.00030378948,0.00066389085,0.00020390337,0.00013786659,0.00004856809,0.00013354125,0.00008253192,0.0000131165825],"category_scores_gemma":[0.00002110197,0.00026689516,0.0002500896,0.00062920124,0.000054347467,0.00011810843,0.000048671845,0.00020962305,4.44186e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00441612,0.0013128849,0.86361307,0.0031744398,0.000210525,0.000006336423,0.0025206807,0.000026192207,0.0006226449,7.42064e-7,0.000049899052,0.12404648],"study_design_scores_gemma":[0.011751326,0.0010875602,0.97242224,0.0019101205,0.00007167765,0.000001944582,0.002157201,0.000020912243,0.009906384,0.000009479658,0.0004326113,0.0002285589],"about_ca_topic_score_codex":0.0021948742,"about_ca_topic_score_gemma":0.0017794872,"teacher_disagreement_score":0.12381792,"about_ca_system_score_codex":0.0025233324,"about_ca_system_score_gemma":0.00079432584,"threshold_uncertainty_score":0.9999783},"labels":[],"label_agreement":null},{"id":"W4410080675","doi":"10.2196/53887","title":"Process Re-Engineering and Data Integration Using Fast Healthcare Interoperability Resources for the Multidisciplinary Treatment of Lung Cancer","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interoperability; Workflow; Multidisciplinary approach; Computer science; Health care; Information system; Identifier; Process management; Knowledge management; Software engineering; Engineering management; Engineering; World Wide Web; Database","score_opus":0.0329800492366121,"score_gpt":0.39153209678623474,"score_spread":0.35855204754962267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410080675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97649616,0.019618845,0.0014989672,0.0009806389,0.00020245234,0.0006289093,0.0005631654,0.0000039283627,0.000006940652],"genre_scores_gemma":[0.9963593,0.0027257951,0.00017204206,0.0000556309,0.00017388488,0.00039230066,0.00005771917,0.00001029546,0.00005306946],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994478,0.0000092405635,0.00014146477,0.00026291073,0.00003593941,0.00010260606],"domain_scores_gemma":[0.9994772,0.000030265597,0.00005360147,0.00032985123,0.000086706204,0.0000223572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005472452,0.00009428844,0.000112857844,0.000019480989,0.0000779202,0.000016202584,0.00013216394,0.000051334922,0.0000024309327],"category_scores_gemma":[0.000021715265,0.00006636538,0.00002771898,0.00005609794,0.00004207299,0.000004448376,0.00010793606,0.000029754863,1.0016403e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024466128,0.0004612329,0.21930325,0.0032542732,0.001025185,0.0000012308108,0.0127005,0.030007973,0.459653,0.00013361996,0.0028904986,0.2681226],"study_design_scores_gemma":[0.004166241,0.0010459422,0.087539084,0.0014338221,0.0005699062,0.0000031822328,0.0059238817,0.6193398,0.22203627,0.00007169232,0.05709962,0.0007705189],"about_ca_topic_score_codex":0.0011066481,"about_ca_topic_score_gemma":0.0032908798,"teacher_disagreement_score":0.58933187,"about_ca_system_score_codex":0.000085780324,"about_ca_system_score_gemma":0.00015745066,"threshold_uncertainty_score":0.27063015},"labels":[],"label_agreement":null},{"id":"W4410081823","doi":"10.2196/68516","title":"Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Computer science; Psychology; World Wide Web","score_opus":0.20975440865117195,"score_gpt":0.5036952784250447,"score_spread":0.29394086977387274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410081823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95018107,0.00047755436,0.023803452,0.012177696,0.0011845122,0.0024613352,0.000004917867,0.000030015004,0.009679461],"genre_scores_gemma":[0.9963715,0.000046283847,0.0012062455,0.00055917865,0.000102993865,0.0009823354,0.0000074302407,0.000006218592,0.00071782945],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990317,0.000011435895,0.00049420365,0.00016918223,0.000106676634,0.00018674976],"domain_scores_gemma":[0.999493,0.00015689977,0.000071075185,0.00014384287,0.00010624146,0.000028935205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025073273,0.000075331904,0.00015069592,0.00013200712,0.00008016441,0.000015167004,0.00009552609,0.0000544861,0.00004908651],"category_scores_gemma":[0.000042507112,0.00005716041,0.000040994724,0.00030615885,0.000056393565,0.00004619411,0.000033620952,0.00010175028,0.000008197023],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017308652,0.00014647884,0.0057357047,0.00021831198,0.000038754835,8.676317e-7,0.0070418697,0.00006789993,0.0000924273,0.0023780174,0.0005236934,0.9835829],"study_design_scores_gemma":[0.00032315642,0.0005094443,0.071174875,0.0035182172,0.00020619402,0.0000049167807,0.119522475,0.00821606,0.19016355,0.07045917,0.53524274,0.0006591681],"about_ca_topic_score_codex":0.00006751984,"about_ca_topic_score_gemma":0.00029467436,"teacher_disagreement_score":0.98292375,"about_ca_system_score_codex":0.00042043408,"about_ca_system_score_gemma":0.00062802044,"threshold_uncertainty_score":0.23309338},"labels":[],"label_agreement":null},{"id":"W4410205295","doi":"10.2196/67379","title":"Prediction of a Panel of Programmed Cell Death Protein-1 (PD-1) Inhibitor–Sensitive Biomarkers Using Multiphase Computed Tomography Imaging Textural Features: Retrospective Cohort Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Microsatellite instability; Retrospective cohort study; Medicine; Cancer; Biomarker; Oncology; Pembrolizumab; Internal medicine; Imaging biomarker; Radiology; Magnetic resonance imaging; Immunotherapy; Microsatellite; Biology","score_opus":0.012684032891199954,"score_gpt":0.3000340435125254,"score_spread":0.2873500106213254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410205295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98675466,0.0006324204,0.009628229,0.00032967908,0.00020138256,0.0018477547,0.0000925927,0.00008598917,0.00042728602],"genre_scores_gemma":[0.9915313,0.000021757214,0.007867716,0.00013407471,0.000112547794,0.00012045297,0.00009245795,0.000023342887,0.000096366835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981603,0.0001019435,0.0005062842,0.00046885744,0.0004495261,0.00031309132],"domain_scores_gemma":[0.99862325,0.000057091624,0.00037592676,0.00028788258,0.00052428915,0.00013158613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032087014,0.00023973352,0.00073854026,0.00086976076,0.0000949012,0.000021888067,0.000091428505,0.00010495534,0.000013391588],"category_scores_gemma":[0.00010564146,0.00020633999,0.00039647592,0.0021481516,0.00028941646,0.000083334126,0.000056433022,0.00042639248,1.2509275e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004999124,0.00028988958,0.83401793,0.00036221213,0.0021810355,0.000027749842,0.0004803833,0.00038887226,0.1558915,0.000016662565,0.0002262598,0.005617612],"study_design_scores_gemma":[0.002694206,0.00010858362,0.7995863,0.000917179,0.0020251158,0.000008435827,0.00029998785,0.1599466,0.03418279,0.000016125201,0.000066009175,0.00014866024],"about_ca_topic_score_codex":0.0026165075,"about_ca_topic_score_gemma":0.000025460859,"teacher_disagreement_score":0.15955773,"about_ca_system_score_codex":0.0003278367,"about_ca_system_score_gemma":0.00022663361,"threshold_uncertainty_score":0.84143007},"labels":[],"label_agreement":null},{"id":"W4410369655","doi":"10.2196/66087","title":"Investigating the Complexity of Multidimensional Symptom Experiences in Patients With Cancer: Systematic Review of the Network Analysis Approach","year":2025,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Mental Health Research Topics","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Cancer; Psychology; Medicine; Computer science; World Wide Web; Internal medicine","score_opus":0.14240131027688838,"score_gpt":0.4655983271230717,"score_spread":0.3231970168461833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410369655","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00036206938,0.991133,0.0000031024906,0.000066990535,0.0002469853,0.00764625,0.0001496439,0.000005628619,0.00038634468],"genre_scores_gemma":[0.0003238762,0.9839609,0.000137298,0.0003130474,0.000051251674,0.014862349,0.000056242854,0.000017857443,0.00027713206],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9946798,0.0022567608,0.0014464962,0.0004198206,0.0008206303,0.00037650098],"domain_scores_gemma":[0.9965607,0.0005333812,0.0016796697,0.0009724805,0.00018600975,0.00006773884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001018561,0.00029960906,0.0027966877,0.00011052673,0.00011712267,0.000006378691,0.0008110153,0.00013232653,0.00033095275],"category_scores_gemma":[0.000108967484,0.00013400322,0.00039292124,0.0031617172,0.0006691003,0.000026500646,0.00022447441,0.00051443273,0.0000010840216],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005990632,0.00009919903,0.0089289695,0.98010564,0.0008379722,1.5885283e-7,0.0011698861,0.000023799352,1.1963776e-9,0.0004685661,0.00063952245,0.007720305],"study_design_scores_gemma":[0.0002423993,0.00003547541,0.005829698,0.986579,0.0022251424,3.5237815e-7,0.00033400007,0.000049458784,5.0112966e-8,0.000008717052,0.004524545,0.00017117547],"about_ca_topic_score_codex":0.0018560814,"about_ca_topic_score_gemma":0.0004798951,"teacher_disagreement_score":0.0075491294,"about_ca_system_score_codex":0.00033670585,"about_ca_system_score_gemma":0.000814046,"threshold_uncertainty_score":0.54644924},"labels":[],"label_agreement":null},{"id":"W4410488759","doi":"10.2196/71102","title":"Understanding Cancer Survivorship Care Needs Using Amazon Reviews: Content Analysis, Algorithm Development, and Validation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Complementary and Integrative Health; U.S. National Library of Medicine; National Human Genome Research Institute; National Institute on Aging","keywords":"Preprint; Survivorship curve; Amazon rainforest; Cancer; Psychology; World Wide Web; Computer science; Medicine; Biology; Ecology","score_opus":0.24952910757953306,"score_gpt":0.40123388419479317,"score_spread":0.1517047766152601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410488759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9553367,0.030205468,0.010473497,0.00027369,0.0009289608,0.0019426026,0.000036283174,0.0000759674,0.00072682695],"genre_scores_gemma":[0.9959437,0.0013547363,0.0002212726,0.00045462383,0.0001673694,0.00063066673,0.000053714975,0.000024203988,0.0011496799],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99833107,0.000133576,0.00046936425,0.00042753152,0.0003310616,0.0003074035],"domain_scores_gemma":[0.99914914,0.000040707102,0.00016801218,0.00029525888,0.00022025884,0.00012664449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033817536,0.00026760058,0.00068586424,0.00061277585,0.0002204653,0.00007604014,0.00008636758,0.00010329939,0.00014577803],"category_scores_gemma":[0.000016224598,0.00023652983,0.00014170221,0.0019886808,0.00004808925,0.00011532757,0.00006692391,0.00020376996,0.0000014418127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116133524,0.000089362606,0.92288584,0.0006031301,0.0013753338,0.000008877975,0.018620638,0.000046652447,0.00023718733,0.00006440454,0.00020933572,0.055743117],"study_design_scores_gemma":[0.008069905,0.0003593976,0.6270698,0.0048446674,0.013391176,0.0000065634313,0.2569447,0.0019349102,0.0058023464,0.00006214482,0.07977041,0.0017440482],"about_ca_topic_score_codex":0.014312398,"about_ca_topic_score_gemma":0.057817176,"teacher_disagreement_score":0.2958161,"about_ca_system_score_codex":0.0018329863,"about_ca_system_score_gemma":0.00042197757,"threshold_uncertainty_score":0.9922514},"labels":[],"label_agreement":null},{"id":"W4410488833","doi":"10.2196/73069","title":"Size-Specific Predictors for Malignancy Risk in Follicular Thyroid Neoplasms: Machine Learning Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Malignancy; Thyroid; Follicular phase; Medicine; Oncology; Internal medicine; Computer science; World Wide Web","score_opus":0.008730946040217525,"score_gpt":0.28955044015174475,"score_spread":0.28081949411152723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410488833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9532117,0.04119182,0.0007809431,0.0014851819,0.00029717435,0.0016792566,0.00022692625,0.00010914938,0.0010178109],"genre_scores_gemma":[0.98202014,0.010046062,0.00038562212,0.00029956072,0.0001454404,0.0035317333,0.0000852004,0.000031249238,0.0034549907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842197,0.00005599403,0.00038459335,0.000534541,0.00022430575,0.00037860434],"domain_scores_gemma":[0.99908626,0.00022197116,0.00014360932,0.000359186,0.000083607454,0.000105391795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001624126,0.0002502401,0.0006232871,0.0003577371,0.00011366861,0.000027987171,0.0000976174,0.000120295255,0.0003995945],"category_scores_gemma":[0.00005763964,0.0002071177,0.0004317219,0.0013082778,0.000036114045,0.00005732302,0.000035778892,0.00025162622,0.000007821058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045654993,0.00030698878,0.9791291,0.00009167517,0.0017294083,0.00002748648,0.0002695618,0.0025046568,0.000333814,0.00023121649,0.005170658,0.009748931],"study_design_scores_gemma":[0.0070977868,0.0004101208,0.8237281,0.00032744836,0.0022185233,0.0000012150003,0.00012822637,0.0017928951,0.0027205718,0.00014289195,0.16118614,0.0002460905],"about_ca_topic_score_codex":0.001108142,"about_ca_topic_score_gemma":0.0017852898,"teacher_disagreement_score":0.15601549,"about_ca_system_score_codex":0.00054093206,"about_ca_system_score_gemma":0.0001470539,"threshold_uncertainty_score":0.84460145},"labels":[],"label_agreement":null},{"id":"W4410765448","doi":"10.2196/65887","title":"Evaluating the Feasibility of Web-Monitoring Methodology for Measuring Exposure to Online Cancer Misinformation","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institutes of Health","keywords":"Preprint; Misinformation; Computer science; World Wide Web; Computer security","score_opus":0.5194881050428185,"score_gpt":0.5893203242192782,"score_spread":0.06983221917645965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410765448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883016,0.00036372102,0.0012938954,0.004852118,0.0010770297,0.0012480371,0.00004558427,0.000038660102,0.0027793664],"genre_scores_gemma":[0.99353063,0.00010369896,0.0038841001,0.0006496338,0.00032693153,0.00017541385,0.0000024783908,0.000004881986,0.0013222566],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987555,0.00020706211,0.00035737836,0.00010749545,0.00033482927,0.00023770118],"domain_scores_gemma":[0.99875087,0.00038588187,0.00018254311,0.0001756683,0.00044274278,0.0000622872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002609533,0.00007986635,0.00016376516,0.000087773726,0.0003708432,0.000043844964,0.00022578999,0.00007535918,0.0001176894],"category_scores_gemma":[0.0015739554,0.00006039976,0.00006782734,0.00042999213,0.00006109149,0.00028679825,0.000035758534,0.00009090897,0.0000015573684],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044997918,0.000048481717,0.038883526,0.00044437117,0.00010032423,4.1964768e-8,0.17666194,0.0073829642,0.015987273,0.0053020073,0.004050684,0.75068843],"study_design_scores_gemma":[0.0049227905,0.0006722655,0.7089017,0.001785373,0.00023849455,4.7355599e-7,0.1252129,0.0071972497,0.031864908,0.0027554764,0.11560952,0.0008388237],"about_ca_topic_score_codex":0.0014471359,"about_ca_topic_score_gemma":0.00292905,"teacher_disagreement_score":0.74984956,"about_ca_system_score_codex":0.00036105193,"about_ca_system_score_gemma":0.0008335395,"threshold_uncertainty_score":0.28522635},"labels":[],"label_agreement":null},{"id":"W4410813486","doi":"10.2196/59949","title":"Identifying Adaptations to an mHealth Alcohol Reduction Intervention for Reducing Alcohol Use in Adolescent and Young Adult Cancer Survivors: Qualitative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Cancer Institute","keywords":"Preprint; mHealth; Intervention (counseling); Key (lock); Psychology; Gerontology; Psychological intervention; Medicine; Computer science; World Wide Web; Computer security; Psychiatry","score_opus":0.15689061671802113,"score_gpt":0.4992710822026228,"score_spread":0.34238046548460166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410813486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859676,0.000935075,0.0017359667,0.0041155256,0.0015722517,0.0054095066,0.00013404076,0.00010067789,0.00002936308],"genre_scores_gemma":[0.9924125,0.00024409544,0.0009924823,0.0009208753,0.0003969188,0.0038939356,0.000060682552,0.00005177412,0.0010267127],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99672097,0.0005529473,0.00095241226,0.00090287405,0.00042861566,0.0004422008],"domain_scores_gemma":[0.9983698,0.00012646324,0.0002858729,0.00043530646,0.0005458702,0.00023666833],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013071329,0.00029510586,0.00058093376,0.00059940276,0.00020352151,0.000121028745,0.00012527539,0.00011167802,0.000031035266],"category_scores_gemma":[0.00031509742,0.00032074619,0.00012455706,0.00082989875,0.000062475534,0.00061580684,0.000074333075,0.00034308748,0.0000020538116],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0041509205,0.0036768152,0.2532833,0.0034931824,0.0006403201,0.000008454052,0.6762432,0.00055612787,0.0050662966,0.0005530315,0.0050617596,0.04726663],"study_design_scores_gemma":[0.006549887,0.00066313305,0.7348109,0.0059498204,0.00026457888,0.000005149629,0.24978907,0.00048807892,0.0006836,0.00015975136,0.00025462222,0.0003814488],"about_ca_topic_score_codex":0.18833882,"about_ca_topic_score_gemma":0.358404,"teacher_disagreement_score":0.48152757,"about_ca_system_score_codex":0.0011088299,"about_ca_system_score_gemma":0.00037141875,"threshold_uncertainty_score":0.9999245},"labels":[],"label_agreement":null},{"id":"W4410855932","doi":"10.2196/69936","title":"Prevalence of Frailty and Its Predictors Among Patients With Cancer at the Chemotherapy Stage: Systematic Review","year":2025,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Frailty in Older Adults","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Preprint; Stage (stratigraphy); Medicine; Cancer; Oncology; Gerontology; Internal medicine; Computer science; Biology","score_opus":0.023566718498030288,"score_gpt":0.34673660423626346,"score_spread":0.3231698857382332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410855932","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004270137,0.9809537,7.189181e-7,0.00016605659,0.00020945098,0.016678376,0.0013279807,0.000040129416,0.00019655717],"genre_scores_gemma":[0.000041426316,0.94428396,0.0000048192933,0.00047546753,0.00007249926,0.008531938,0.000057726273,0.000072685114,0.046459474],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99709463,0.00020914464,0.001010786,0.0005953268,0.00077382184,0.0003163159],"domain_scores_gemma":[0.99704987,0.00028667587,0.0011887694,0.0009690216,0.0003727615,0.00013288727],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023839898,0.00058835244,0.0030624594,0.000094868345,0.00007058774,0.000012929331,0.00036463642,0.00023414324,0.0011042225],"category_scores_gemma":[0.00018528657,0.0002950816,0.00029705215,0.0005123217,0.00019727308,0.00008314649,0.00013039364,0.00043799815,0.000006093751],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021835487,0.000049367573,0.005241988,0.9591643,0.00072284177,0.0000020314649,0.00011253316,2.6548483e-7,4.610106e-8,0.0000013943327,0.005885094,0.028798262],"study_design_scores_gemma":[0.00069758465,0.00010056339,0.0038688986,0.858221,0.0061528473,0.000002876476,0.0000032954658,0.0000018597995,0.0000020694379,1.5983463e-7,0.13070987,0.00023895103],"about_ca_topic_score_codex":0.000105707644,"about_ca_topic_score_gemma":0.00013231672,"teacher_disagreement_score":0.12482478,"about_ca_system_score_codex":0.0005601844,"about_ca_system_score_gemma":0.00076500565,"threshold_uncertainty_score":0.9999501},"labels":[],"label_agreement":null},{"id":"W4410893013","doi":"10.2196/71062","title":"Perception and Counseling for Cardiac Health in Breast Cancer Survivors Using the Health Belief Model: Qualitative Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Chemotherapy-induced cardiotoxicity and mitigation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Health belief model; Breast cancer; Perception; Qualitative research; Psychology; Medicine; Clinical psychology; Cancer; Health education; Computer science; Internal medicine; Nursing; Sociology; Social science; Public health; World Wide Web","score_opus":0.03887446078588974,"score_gpt":0.44392101358277,"score_spread":0.40504655279688023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410893013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94421196,0.003621233,0.017799394,0.03245716,0.00012482806,0.0013655678,0.00036890624,0.000024788875,0.000026185497],"genre_scores_gemma":[0.9867629,0.0047310027,0.000505723,0.007258238,0.00013755585,0.0003968836,0.000045939083,0.000015921869,0.00014585211],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988774,0.00016234594,0.0002829951,0.00027734702,0.00015448964,0.00024541447],"domain_scores_gemma":[0.999447,0.00007994892,0.00012106863,0.00015373217,0.00012953108,0.00006871011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008907814,0.00012453114,0.00049035234,0.0001911099,0.00019157365,0.000019207957,0.000034884397,0.00006922669,0.000009904356],"category_scores_gemma":[0.0000065002905,0.00010005985,0.0001543209,0.00068914675,0.000055923992,0.00006844711,0.000009113606,0.0001572079,8.117944e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021978572,0.00033160654,0.07029222,0.0030585467,0.0046528163,6.842935e-7,0.45136306,0.094227016,0.04908464,0.001179357,0.0056482414,0.31796396],"study_design_scores_gemma":[0.0067804325,0.0002742804,0.19703056,0.0028454538,0.0015463072,0.0000059580084,0.118800245,0.6652343,0.0012322973,0.0014662825,0.003955597,0.0008282541],"about_ca_topic_score_codex":0.027696496,"about_ca_topic_score_gemma":0.011111505,"teacher_disagreement_score":0.5710073,"about_ca_system_score_codex":0.0010794218,"about_ca_system_score_gemma":0.0008418091,"threshold_uncertainty_score":0.9787782},"labels":[],"label_agreement":null},{"id":"W4410911342","doi":"10.2196/63717","title":"Capturing Community Perspectives in a Statewide Cancer Needs Assessment: Online Focus Group Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Cancer Institute","keywords":"Preprint; Focus group; Focus (optics); Psychology; Sociology; Computer science; World Wide Web","score_opus":0.09898573791429721,"score_gpt":0.4546033180303856,"score_spread":0.3556175801160884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410911342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866855,0.005075732,0.000080880345,0.0025427092,0.00021363159,0.0011529803,0.000057392517,0.00008598067,0.0041051623],"genre_scores_gemma":[0.9965263,0.00044493083,0.00016355621,0.0009391492,0.00016368445,0.0008273338,0.000012871819,0.000021852897,0.00090034073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836236,0.00019987459,0.0003636725,0.00028666644,0.00036709517,0.0004203503],"domain_scores_gemma":[0.99910855,0.00008324968,0.00009500787,0.00044029075,0.00016701776,0.000105897525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037478196,0.00023648214,0.0004860892,0.00037089924,0.00018570737,0.000042854444,0.000231337,0.00008328407,0.00027050145],"category_scores_gemma":[0.000038383234,0.00021441877,0.000090232,0.0010611201,0.000082364575,0.00019822425,0.00016552706,0.001017045,0.0000019412967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046089545,0.001286132,0.96084297,0.00012234454,0.00022978226,0.000072235314,0.018434009,0.00026156593,0.00045920128,0.00027013704,0.0013453049,0.016215436],"study_design_scores_gemma":[0.0032122093,0.00033318595,0.87324077,0.00086943636,0.00011479759,0.0000028343566,0.1192685,0.00024598438,0.000079686884,0.00020902796,0.0022287508,0.00019485052],"about_ca_topic_score_codex":0.110247895,"about_ca_topic_score_gemma":0.11735091,"teacher_disagreement_score":0.10083449,"about_ca_system_score_codex":0.0017425739,"about_ca_system_score_gemma":0.0005422068,"threshold_uncertainty_score":0.89875513},"labels":[],"label_agreement":null},{"id":"W4410943834","doi":"10.2196/59683","title":"Practical Approaches to Patient-Centered Care in Europe: Mixed Methods Study Developing a Conceptual Framework for Comprehensive Cancer Care Networks","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Cancer; Computer science; Medicine; World Wide Web","score_opus":0.18607624706127757,"score_gpt":0.45591775219188846,"score_spread":0.2698415051306109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410943834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7860152,0.03603973,0.14489704,0.0075439652,0.008182341,0.015656259,0.00028409823,0.00031278998,0.0010685583],"genre_scores_gemma":[0.96276563,0.00013444271,0.024250586,0.0040577953,0.00038848832,0.00820034,0.000061276645,0.000063302265,0.00007815052],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99759835,0.00036169347,0.00046950506,0.00074858934,0.00027383427,0.00054802647],"domain_scores_gemma":[0.9981059,0.0004253357,0.00011970537,0.00041822233,0.0007591092,0.00017175383],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010597298,0.00034307523,0.00070339924,0.0001829274,0.00012394297,0.000048438134,0.00015797705,0.00021569837,0.00003950452],"category_scores_gemma":[0.00018467073,0.00031837987,0.00012137478,0.0012147644,0.00008184146,0.00007101332,0.00020427136,0.0005545863,0.000001640327],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008717869,0.00051531405,0.12726018,0.0017503964,0.0008297968,0.00008906891,0.22772427,0.0019025243,0.00005916683,0.004152769,0.010608289,0.61639035],"study_design_scores_gemma":[0.006150127,0.0016150391,0.07051259,0.0032098598,0.00047266213,0.00000370832,0.54396516,0.0006259432,0.0008740332,0.000039656905,0.3716586,0.00087262806],"about_ca_topic_score_codex":0.0011598303,"about_ca_topic_score_gemma":0.014057823,"teacher_disagreement_score":0.61551774,"about_ca_system_score_codex":0.0010392064,"about_ca_system_score_gemma":0.0011099268,"threshold_uncertainty_score":0.9999268},"labels":[],"label_agreement":null},{"id":"W4410946881","doi":"10.2196/64506","title":"Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Logistic regression; Medicine; Random forest; Cohort; Machine learning; Confounding; Colorectal cancer; Artificial intelligence; Propensity score matching; Nomogram; Cancer; Oncology; Internal medicine; Computer science","score_opus":0.04037719020193765,"score_gpt":0.3745165215935605,"score_spread":0.3341393313916229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410946881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951989,0.0017637379,0.00013313102,0.00018596764,0.0002725313,0.0016586488,0.00037909884,0.000166679,0.00024129232],"genre_scores_gemma":[0.998261,0.00013490998,0.00027082599,0.00012566894,0.00027165914,0.00044192624,0.000021739987,0.000041083662,0.00043120614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977731,0.0002565815,0.00046830942,0.0007322413,0.00032244387,0.0004473312],"domain_scores_gemma":[0.99901235,0.00026695948,0.00021298458,0.0002832083,0.00008484187,0.0001396813],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00081087934,0.00028488724,0.00063423964,0.00056292675,0.00034695005,0.0000996584,0.00012025001,0.00009570254,0.00006418712],"category_scores_gemma":[0.00014452975,0.00027901705,0.000050619357,0.0011587013,0.00010769285,0.00023725152,0.00026081197,0.00080349424,4.5351692e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020687666,0.00008941159,0.9580962,0.00007608931,0.00029165135,0.0007615126,0.0011950417,0.00044669438,0.00036593043,8.194163e-7,0.000030880063,0.036576986],"study_design_scores_gemma":[0.0055988436,0.0008288884,0.94139075,0.0006385028,0.0004203284,0.00015059908,0.0009822639,0.04929541,0.00015097286,0.0000031004965,0.00030047583,0.00023987691],"about_ca_topic_score_codex":0.13814434,"about_ca_topic_score_gemma":0.28621483,"teacher_disagreement_score":0.14807048,"about_ca_system_score_codex":0.00040424414,"about_ca_system_score_gemma":0.0002540967,"threshold_uncertainty_score":0.9999662},"labels":[],"label_agreement":null},{"id":"W4410988827","doi":"10.2196/64754","title":"Digital Interventions and Mental Health Outcomes in Patients With Cancer: Systematic Review and Meta-Analysis","year":2025,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Psychological intervention; Mental health; Cochrane Library; Meta-analysis; MEDLINE; Randomized controlled trial; Systematic review; Publication bias; Population; Psychiatry; Internal medicine; Environmental health","score_opus":0.05929685184536613,"score_gpt":0.4227744937648557,"score_spread":0.36347764191948956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410988827","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00000431009,0.9897534,0.0000019492456,0.0008341025,0.00007059364,0.0063045165,0.0029057565,0.000018337674,0.00010701555],"genre_scores_gemma":[0.00006282044,0.9867475,0.000003874941,0.00085577305,0.000009408929,0.006133895,0.0004028073,0.000026487767,0.0057574203],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9978628,0.00014347775,0.00097584864,0.0004906715,0.00030576737,0.00022139051],"domain_scores_gemma":[0.9987414,0.000067118825,0.000561935,0.0004041385,0.00008139256,0.00014402407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016939218,0.00042981034,0.008605271,0.00039088874,0.000046975038,0.00005399331,0.0000952726,0.00008544654,0.00025415834],"category_scores_gemma":[0.000020355164,0.00024520917,0.0015537698,0.00090594596,0.00004662228,0.00009164057,0.00008396664,0.00024035884,0.0000012621393],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052023097,0.00006936957,0.0041910987,0.912068,0.0634027,0.0000011913291,0.00007676157,2.6096252e-8,3.201644e-11,0.0000028230497,0.00035787115,0.019824954],"study_design_scores_gemma":[0.00039442585,0.00009526539,0.0006279541,0.33776045,0.611064,0.0000017851067,0.00003614693,1.233685e-7,1.1849026e-9,4.5444025e-7,0.04977636,0.00024303683],"about_ca_topic_score_codex":0.0009234873,"about_ca_topic_score_gemma":0.011891855,"teacher_disagreement_score":0.57430756,"about_ca_system_score_codex":0.0004718935,"about_ca_system_score_gemma":0.00036599033,"threshold_uncertainty_score":0.999934},"labels":[],"label_agreement":null},{"id":"W4411171573","doi":"10.2196/72862","title":"Digital Health Portals for Individuals Living With or Beyond Cancer: Patient-Driven Scoping Review","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Institut Universitaire en Santé Mentale de Québec; Université de Sherbrooke; Université Laval","funders":"","keywords":"Preprint; Digital health; Cancer; Internet privacy; Gerontology; Medicine; Psychology; Health care; Computer science; World Wide Web; Political science","score_opus":0.05575919219385709,"score_gpt":0.5092992754827054,"score_spread":0.45354008328884826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411171573","genre_codex":"empirical","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29987285,0.28168127,0.012204806,0.12305416,0.01071227,0.15754773,0.013088503,0.0019577325,0.099880666],"genre_scores_gemma":[0.17712788,0.06310833,0.005958666,0.63087165,0.0012795355,0.098420024,0.0007347507,0.00016965429,0.02232949],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99658406,0.00019561643,0.0018807765,0.00035305563,0.00027782386,0.00070865144],"domain_scores_gemma":[0.99709225,0.00069401466,0.0011979184,0.00037650473,0.0004139038,0.0002254125],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00086642546,0.00021286808,0.0006503064,0.00012005497,0.00093602756,0.000050556668,0.00020771445,0.00011767717,0.0017452013],"category_scores_gemma":[0.00036747754,0.0001445241,0.000070116075,0.00054554536,0.00004402596,0.0012732031,0.00011331686,0.00038818477,0.000022518776],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068329566,0.00007162642,0.50476927,0.10035603,0.00005215532,2.4439225e-7,0.0043518567,0.000011083222,3.53004e-7,0.00022924524,0.13459082,0.255499],"study_design_scores_gemma":[0.0012147996,0.00025180672,0.030835712,0.43357494,0.000032669275,5.3812914e-7,0.0012093378,0.0001821805,0.000004373223,0.000049585236,0.53229165,0.00035239832],"about_ca_topic_score_codex":0.00021666152,"about_ca_topic_score_gemma":0.0011918212,"teacher_disagreement_score":0.5078175,"about_ca_system_score_codex":0.0005354516,"about_ca_system_score_gemma":0.0066006607,"threshold_uncertainty_score":0.9991673},"labels":[],"label_agreement":null},{"id":"W4411210857","doi":"10.2196/66471","title":"Development of a Mobile App to Support Head and Neck Cancer Caregiving: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Cancer Institute","keywords":"Head and neck cancer; Mobile apps; Cancer; Psychology; Computer science; Medicine; Gerontology; World Wide Web; Internal medicine","score_opus":0.06600827286970702,"score_gpt":0.5082770106561909,"score_spread":0.4422687377864839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411210857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99311686,0.001434269,0.00043669067,0.001475044,0.0004442765,0.0018511224,0.000009222187,0.00004612115,0.0011863839],"genre_scores_gemma":[0.9448495,0.00014057959,0.042491935,0.0028767253,0.00010820665,0.005039004,0.000004211605,0.000019832562,0.004469993],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99898136,0.00004320099,0.0003483804,0.0002551903,0.00015924261,0.00021261032],"domain_scores_gemma":[0.99945223,0.000032748856,0.00006096868,0.00017267776,0.00012670095,0.00015466142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003127544,0.00011109788,0.00037188927,0.00016678906,0.00007654688,0.000007665221,0.000053390875,0.000045169243,0.00030433002],"category_scores_gemma":[0.000014365394,0.00009981149,0.000027725637,0.0003183341,0.000022415157,0.00002263425,0.00007038307,0.00011739202,0.0000025761772],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035088853,0.0006282985,0.25921953,0.00211477,0.00017247982,0.0000096978165,0.021846829,0.0000056181884,0.008511243,0.00005259931,0.026672123,0.6804159],"study_design_scores_gemma":[0.0027006362,0.00032008332,0.3821516,0.00091881707,0.00005752203,0.0000018741601,0.005248577,0.000018336907,0.007747924,0.00001295047,0.6006899,0.00013180585],"about_ca_topic_score_codex":0.00036515095,"about_ca_topic_score_gemma":0.0013319807,"teacher_disagreement_score":0.6802841,"about_ca_system_score_codex":0.00025548812,"about_ca_system_score_gemma":0.0007487904,"threshold_uncertainty_score":0.40701944},"labels":[],"label_agreement":null},{"id":"W4411212746","doi":"10.2196/64399","title":"Next-Generation Sequencing–Based Testing Among Patients With Advanced or Metastatic Nonsquamous Non–Small Cell Lung Cancer in the United States: Predictive Modeling Using Machine Learning Methods","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lung cancer; Oncology; DNA sequencing; Medicine; Internal medicine; Cancer; Artificial intelligence; Medical physics; Machine learning; Computer science; Biology; DNA","score_opus":0.06987583562322436,"score_gpt":0.39188032337793427,"score_spread":0.3220044877547099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411212746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8843305,0.00076946686,0.11162527,0.00011814281,0.00012394202,0.0027535048,0.00008144553,0.00006170641,0.00013602668],"genre_scores_gemma":[0.9585373,0.000058551916,0.037961155,0.0007798278,0.000053336917,0.0020355906,0.00032815826,0.00005279935,0.00019327922],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982433,0.00025735266,0.00040530588,0.00043901397,0.0002787213,0.00037633482],"domain_scores_gemma":[0.9987273,0.00027515524,0.00022634746,0.00023526022,0.0004585626,0.00007735035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027004618,0.000302805,0.00037089438,0.00036504967,0.00031569737,0.00006951083,0.00010368993,0.00006044557,0.000040338084],"category_scores_gemma":[0.000092567985,0.00018804194,0.000052873937,0.0015262988,0.00004972598,0.00022224995,0.000025036183,0.00040871714,2.2840827e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035404414,0.00014574334,0.17275059,0.00026506136,0.00016852772,0.00001642755,0.0030832142,0.8178843,0.0015746466,9.548922e-7,0.000009004362,0.0037474842],"study_design_scores_gemma":[0.005065742,0.00032980836,0.0068411035,0.0011188713,0.0011520756,9.867957e-7,0.0015414633,0.9829144,0.00078373647,0.000004492385,0.000046987134,0.00020036158],"about_ca_topic_score_codex":0.015251398,"about_ca_topic_score_gemma":0.004110535,"teacher_disagreement_score":0.16590948,"about_ca_system_score_codex":0.0015397614,"about_ca_system_score_gemma":0.0015326309,"threshold_uncertainty_score":0.9913061},"labels":[],"label_agreement":null},{"id":"W4411229477","doi":"10.2196/65461","title":"Implementation of a Quality Improvement and Clinical Decision Support Tool for Cancer Diagnosis in Primary Care: Process Evaluation","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Quality (philosophy); Quality management; Primary care; Process management; Medicine; Cancer; Decision support system; Medical physics; Computer science; Operations management; Business; Engineering; Data mining; Family medicine; Internal medicine","score_opus":0.4629266352774781,"score_gpt":0.7619938049517672,"score_spread":0.29906716967428904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411229477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98493785,0.0001495415,0.0005115896,0.005097454,0.00067016814,0.007834904,0.0006107747,0.000016397551,0.0001713088],"genre_scores_gemma":[0.9291184,0.00060032296,0.00064066413,0.012940369,0.00012639152,0.056433573,0.000049402784,0.000011795292,0.00007910932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99622315,0.0005040665,0.0018820871,0.0004326602,0.0005342183,0.00042383163],"domain_scores_gemma":[0.9961888,0.001964048,0.0006608401,0.00021886962,0.00088442385,0.00008302206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005159924,0.000121088204,0.0003568446,0.00018787812,0.00022698936,0.000008788688,0.00013761429,0.00012179952,0.00076125376],"category_scores_gemma":[0.0005528206,0.000112337526,0.0000500764,0.000468376,0.000059992297,0.00023102756,0.00008399709,0.00018395651,0.0000019085444],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009980273,0.000021638332,0.5820658,0.0011235573,0.000008070385,2.7909593e-8,0.004064176,0.0000035498313,0.00005593824,0.000059930015,0.002839924,0.40965757],"study_design_scores_gemma":[0.005258221,0.00014912886,0.97178644,0.00034012506,0.00003827185,1.4392753e-8,0.006072944,0.000083247985,0.00037151546,0.00054811215,0.015245489,0.0001065127],"about_ca_topic_score_codex":0.0058858315,"about_ca_topic_score_gemma":0.037182145,"teacher_disagreement_score":0.40955105,"about_ca_system_score_codex":0.0014981104,"about_ca_system_score_gemma":0.0062062535,"threshold_uncertainty_score":0.9994276},"labels":[],"label_agreement":null},{"id":"W4411368777","doi":"10.2196/68426","title":"Evaluating a Chatbot as a Companion for Patients With Breast Cancer: Collaborative Pilot Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Chatbot; Breast cancer; Medicine; Computer science; Cancer; World Wide Web; Internal medicine","score_opus":0.16699457665064385,"score_gpt":0.5327844184551053,"score_spread":0.3657898418044614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411368777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98936015,0.00024814965,0.000051635336,0.004160495,0.0005991371,0.0052123973,0.00007610177,0.000039460443,0.00025245443],"genre_scores_gemma":[0.9917923,0.000034493263,0.00013593373,0.0010259605,0.0003024208,0.005938224,0.000026935815,0.000016890972,0.00072684366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988929,0.00005040806,0.00027703383,0.00029505606,0.00025819463,0.00022639897],"domain_scores_gemma":[0.9981462,0.000103267696,0.00012270964,0.00017585506,0.0013718065,0.000080183716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016343118,0.00013043755,0.00024249773,0.00009389512,0.00020450856,0.00002419345,0.000056996367,0.000031862597,0.00018611361],"category_scores_gemma":[0.00005673242,0.000100852114,0.000020610227,0.0005262476,0.000038627597,0.00008374195,0.000014940679,0.000110104855,0.000008599557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046258452,0.0020572364,0.8471686,0.00021500788,0.00014244344,5.786582e-7,0.0056051346,0.0000788967,0.00013984382,0.00009477254,0.0029724527,0.13689914],"study_design_scores_gemma":[0.0017856689,0.012513126,0.9674683,0.0011773021,0.00028511716,0.000001051818,0.011987181,0.0011515479,0.0007714639,0.00025100567,0.0023634315,0.00024480434],"about_ca_topic_score_codex":0.0056244903,"about_ca_topic_score_gemma":0.0028619077,"teacher_disagreement_score":0.13665433,"about_ca_system_score_codex":0.00048437322,"about_ca_system_score_gemma":0.0014884173,"threshold_uncertainty_score":0.85025847},"labels":[],"label_agreement":null},{"id":"W4411413007","doi":"10.2196/58999","title":"Care Coordination and Patient Satisfaction With Ambulatory Cancer Care During the COVID-19 Pandemic in Manitoba, Canada: Report of An Online Survey Study of Patient-Reported Experience Measures With Interpretation Guided by Fit Theory","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia; Research Institute in Oncology and Hematology; University of Manitoba; CancerCare Manitoba","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Interpretation (philosophy); Medicine; 2019-20 coronavirus outbreak; Ambulatory; Patient satisfaction; Ambulatory care; Patient care; Family medicine; Nursing; Health care; Virology; Political science; Internal medicine; Computer science","score_opus":0.0731289804220267,"score_gpt":0.39456568487486793,"score_spread":0.3214367044528412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411413007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960953,0.0016120032,0.000014357756,0.00016317153,0.000101885926,0.0018653119,0.00012397321,0.000018569908,0.000005441316],"genre_scores_gemma":[0.99896044,0.000045824047,0.0000048528727,0.0004567152,0.000010344204,0.0004438792,0.00005074975,0.000015144497,0.000012032458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99820447,0.00024008466,0.00055513054,0.00033614435,0.00050338835,0.00016079059],"domain_scores_gemma":[0.99821556,0.00011243155,0.0004908117,0.00032326663,0.0007447318,0.00011320913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017116968,0.0001634691,0.00033239453,0.00013610361,0.00009774516,0.000007705949,0.000046914418,0.00005954746,0.000008245212],"category_scores_gemma":[0.0002353665,0.000110774665,0.000014300889,0.00036102856,0.0000818483,0.00010271614,0.000023799712,0.00016811227,5.2104627e-9],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020572115,0.000087709646,0.9341361,0.0005300442,0.00008143641,0.000048927795,0.044257354,0.0017778254,0.00037537466,3.788142e-7,0.0000708792,0.01657674],"study_design_scores_gemma":[0.0017678748,0.0005740329,0.91056806,0.00039999437,0.000066975546,0.000025769386,0.08596013,0.000047994,0.0003882728,9.745078e-7,0.00009852018,0.00010138888],"about_ca_topic_score_codex":0.9510891,"about_ca_topic_score_gemma":0.99548024,"teacher_disagreement_score":0.04439118,"about_ca_system_score_codex":0.0025913527,"about_ca_system_score_gemma":0.003575326,"threshold_uncertainty_score":0.6776297},"labels":[],"label_agreement":null},{"id":"W4411418575","doi":"10.2196/64108","title":"Information Needs of Patients With Head and Neck Cancer and Their Supports in Relation to Treatment Management Choices: Scoping Review","year":2025,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Victoria","funders":"","keywords":"Preprint; Relation (database); Head and neck cancer; Head and neck; Medicine; Head (geology); Cancer; Computer science; Surgery; World Wide Web; Internal medicine; Data mining","score_opus":0.0546668763451571,"score_gpt":0.48067373511719014,"score_spread":0.42600685877203304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411418575","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025912735,0.97981,0.000025503155,0.00013435032,0.00020432979,0.015339026,0.00034398204,0.0000207559,0.0015307908],"genre_scores_gemma":[0.00005042289,0.9876548,0.000071907925,0.0019130593,0.00002701787,0.009612823,0.00037599273,0.000009960468,0.00028401223],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99719363,0.00020447602,0.0020287894,0.00013972157,0.00015455695,0.0002788478],"domain_scores_gemma":[0.9980761,0.00015346361,0.0011885132,0.0002875763,0.0001787876,0.00011559059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045218153,0.00028683085,0.0011476662,0.00044035146,0.00015492765,0.00001480954,0.000080986654,0.00017455695,0.0001746819],"category_scores_gemma":[0.000028342107,0.0001768425,0.00004936184,0.0007393314,0.00001900789,0.00094170123,0.0000906414,0.00024541482,0.0000059387753],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019639161,0.000016384154,0.017775537,0.36369276,0.000018156075,2.4305159e-8,0.0026766756,8.131624e-7,1.53468e-10,0.000016300159,0.00016047742,0.61562324],"study_design_scores_gemma":[0.00047788423,0.000043010445,0.018501477,0.44776073,0.00005681656,3.5390386e-8,0.00011750061,0.0000024010858,9.134384e-9,0.000001554282,0.53293914,0.00009945098],"about_ca_topic_score_codex":0.00055460347,"about_ca_topic_score_gemma":0.0005968585,"teacher_disagreement_score":0.61552376,"about_ca_system_score_codex":0.0007235685,"about_ca_system_score_gemma":0.000867857,"threshold_uncertainty_score":0.72114277},"labels":[],"label_agreement":null},{"id":"W4411718658","doi":"10.2196/70275","title":"Clinical Prediction Models Incorporating Blood Test Trend for Cancer Detection: Systematic Review, Meta-Analysis, and Critical Appraisal","year":2025,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Meta-analysis; Medicine; Critical appraisal; Lung cancer; Colorectal cancer; Cancer; Random effects model; Internal medicine; Statistics; Oncology; Pathology; Mathematics","score_opus":0.1521965180734441,"score_gpt":0.47993279798797867,"score_spread":0.3277362799145346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411718658","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000011566779,0.98746705,0.0050573815,0.00018977051,0.00079502055,0.005144016,0.0010472691,0.0001680484,0.00013028026],"genre_scores_gemma":[0.00025642992,0.9627126,0.00047877256,0.00023200068,0.0009849285,0.03447934,0.00013245775,0.000059063554,0.0006644203],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99542844,0.0004216084,0.0022429798,0.0010981804,0.00047677572,0.00033202014],"domain_scores_gemma":[0.99363357,0.0041603846,0.00094755756,0.0006342028,0.0003764512,0.000247861],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012563231,0.0006282209,0.008084109,0.0004876413,0.0002032629,0.00007098096,0.00013957264,0.00058030616,0.00007408559],"category_scores_gemma":[0.0022669258,0.0004467121,0.0038847607,0.0016323153,0.00012624763,0.00014602921,0.000077532415,0.000765789,0.0000011754644],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008476737,0.00010635416,0.000016699889,0.8543401,0.05502099,0.0000047630224,0.000011983209,0.000005988994,2.1592031e-7,0.000012642897,0.00036453805,0.09003097],"study_design_scores_gemma":[0.00040396483,0.0008057186,0.0000052026544,0.16338235,0.8105502,0.00006319139,0.0000079427555,0.0015322978,0.0000016413537,0.00001812682,0.022898724,0.0003306525],"about_ca_topic_score_codex":0.00016776763,"about_ca_topic_score_gemma":0.0011975985,"teacher_disagreement_score":0.7555292,"about_ca_system_score_codex":0.00023102343,"about_ca_system_score_gemma":0.0006916885,"threshold_uncertainty_score":0.9997985},"labels":[],"label_agreement":null},{"id":"W4411789752","doi":"10.2196/69057","title":"Machine Learning for Preoperative Assessment and Postoperative Prediction in Cervical Cancer: Multicenter Retrospective Model Integrating MRI and Clinicopathological Data","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Cervical cancer; Medicine; Retrospective cohort study; Medical physics; Surgery; Cancer; Computer science; Internal medicine","score_opus":0.053660850900395934,"score_gpt":0.42341479657238734,"score_spread":0.3697539456719914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411789752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9743839,0.0068887463,0.0047935247,0.0068915244,0.0003213163,0.0038918643,0.0012083265,0.000082236926,0.0015385518],"genre_scores_gemma":[0.99073315,0.0023992993,0.0033482779,0.0009872583,0.00010663664,0.001484608,0.00018245356,0.000015238353,0.0007430963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984955,0.000097251635,0.00034767276,0.00067373004,0.00015642997,0.00022939986],"domain_scores_gemma":[0.99931926,0.00017602109,0.00007848408,0.00018346868,0.00015025696,0.000092532144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026588168,0.00020482662,0.0004757927,0.00011363557,0.00013917187,0.0000412073,0.00008015688,0.0001300456,0.000074778436],"category_scores_gemma":[0.00016093718,0.00014423308,0.00003917857,0.00024876776,0.0000943608,0.00018644513,0.00020569043,0.00049509533,3.2307753e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015066678,0.00024081764,0.9711719,0.000117994394,0.000082312064,0.0000064642813,0.0007864049,0.00032751163,0.0003155768,0.00029887626,0.00017161857,0.024973836],"study_design_scores_gemma":[0.007311906,0.00068144844,0.56649715,0.00039531878,0.00014410791,0.0000021492592,0.00035535695,0.42386106,0.000081159524,0.00023094883,0.0003295138,0.00010988835],"about_ca_topic_score_codex":0.0005610237,"about_ca_topic_score_gemma":0.0010890373,"teacher_disagreement_score":0.42353356,"about_ca_system_score_codex":0.0005532994,"about_ca_system_score_gemma":0.00022382004,"threshold_uncertainty_score":0.58816546},"labels":[],"label_agreement":null},{"id":"W4412006592","doi":"10.2196/58657","title":"Understanding and Addressing Challenges With Electronic Health Record Use in Gynecological Oncology: Cross-Sectional Survey of Multidisciplinary Professionals in the United Kingdom and Co-Design of an Integrated Informatics Platform to Support Clinical Decision-Making","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute for Health and Care Research","keywords":"Multidisciplinary approach; Cross-sectional study; Health informatics; Health professionals; Informatics; Medicine; Electronic health record; Family medicine; Medical education; Nursing; Health care; Engineering; Political science; Public health; Pathology","score_opus":0.5775227065407635,"score_gpt":0.6056800543742621,"score_spread":0.028157347833498547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412006592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923734,0.0001804956,0.003354337,0.0004285173,0.00022892652,0.0033051246,0.000047283436,0.000022171827,0.0000597578],"genre_scores_gemma":[0.9964621,0.0005151526,0.0015982705,0.0007782041,0.000028129683,0.0005501843,0.00003443943,0.000018202802,0.000015332926],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99289316,0.003309539,0.0023087559,0.00036007725,0.00033909723,0.00078938983],"domain_scores_gemma":[0.98178405,0.01656607,0.0009865566,0.00025936868,0.0002734462,0.00013054052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014972048,0.00021520485,0.0008321215,0.00065361045,0.00041603632,0.000019052208,0.0002307947,0.0004904588,0.000028602963],"category_scores_gemma":[0.0013038446,0.00013941494,0.000024579938,0.0010534147,0.00021132788,0.00029914564,0.00012907325,0.0016770627,4.953775e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030420444,0.00027662175,0.9777943,0.00066957535,0.000028915634,0.0000030724038,0.006923694,0.00029161823,0.0000019600573,0.0008221256,0.00017414217,0.009971959],"study_design_scores_gemma":[0.0022957667,0.0025288302,0.97510946,0.003118117,0.0000041157937,0.0000047933477,0.0109074665,0.0051450497,5.7634367e-7,0.00038527072,0.0003705806,0.00012996398],"about_ca_topic_score_codex":0.003244542,"about_ca_topic_score_gemma":0.11536822,"teacher_disagreement_score":0.112123676,"about_ca_system_score_codex":0.0023143957,"about_ca_system_score_gemma":0.0080436785,"threshold_uncertainty_score":0.9975798},"labels":[],"label_agreement":null},{"id":"W4412072331","doi":"10.2196/70176","title":"Reducing Hallucinations and Trade-Offs in Responses in Generative AI Chatbots for Cancer Information: Development and Evaluation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Psychology; Data science; Computer science; World Wide Web","score_opus":0.18622395891639593,"score_gpt":0.5187098469781782,"score_spread":0.3324858880617823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412072331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977192,0.0013510232,0.00012259351,0.01850631,0.00024816892,0.0024897149,0.0000047344956,0.000008390154,0.000077056895],"genre_scores_gemma":[0.99289614,0.00019129919,0.00028024238,0.0012396296,0.00006952479,0.005121628,0.000014002269,0.0000038850853,0.00018367673],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991705,0.000059131682,0.00036070117,0.00015569771,0.00012957831,0.00012443053],"domain_scores_gemma":[0.9995738,0.0001013257,0.000055110973,0.00006965052,0.00016522531,0.000034833134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005587026,0.00007588978,0.00013789177,0.0003126858,0.00010484227,0.000025434148,0.000020213742,0.0000539741,0.000024658164],"category_scores_gemma":[0.00014656477,0.00007233587,0.0000082224815,0.00029878563,0.000022198416,0.0002362542,0.000010447209,0.00009825987,4.2701168e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030261176,0.00012857147,0.23121838,0.00016732731,0.000019530178,4.2084855e-7,0.074987315,0.0003105347,0.00010729359,0.00013337792,0.00059681927,0.6920278],"study_design_scores_gemma":[0.0005580388,0.00012060661,0.9632029,0.00047441808,0.00002957048,8.624041e-7,0.01489082,0.009726703,0.0035340767,0.00029041688,0.007070663,0.00010092763],"about_ca_topic_score_codex":0.0016692019,"about_ca_topic_score_gemma":0.012422184,"teacher_disagreement_score":0.7319845,"about_ca_system_score_codex":0.0005360344,"about_ca_system_score_gemma":0.0012452744,"threshold_uncertainty_score":0.69318706},"labels":[],"label_agreement":null},{"id":"W4412127470","doi":"10.2196/58823","title":"New Technologies and Digital Health Tools in Patients With Solid Tumors and Hematological Malignancies: Cross-Sectional Multicenter Survey Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Cross-sectional study; Medicine; Oncology; Pathology; Computer science; World Wide Web","score_opus":0.04122634798383763,"score_gpt":0.4053895734363761,"score_spread":0.3641632254525385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412127470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99710697,0.00023982598,0.000053396736,0.0008609569,0.000056427634,0.0015425717,0.00005535012,0.00006092375,0.000023589822],"genre_scores_gemma":[0.9989383,0.000028536073,0.000098887314,0.0005940591,0.000014874412,0.00015793392,0.000052504347,0.000006684538,0.00010820038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893993,0.00002363543,0.00034423883,0.0002774975,0.00018118632,0.00023348167],"domain_scores_gemma":[0.9995782,0.00008043789,0.00009144521,0.0001022366,0.0000771086,0.00007062335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014865155,0.00011641967,0.00029499386,0.00013404968,0.000064446736,0.00005044636,0.000035385594,0.000045622437,0.000022871336],"category_scores_gemma":[0.000109595036,0.00008108171,0.000009355404,0.00023459425,0.00007503549,0.00014950504,0.00005330254,0.00014215955,5.825474e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055171474,0.00020157629,0.9711612,0.00012073483,0.000022564349,0.0000050676294,0.00024245966,4.3643396e-7,9.3289316e-7,0.000011877603,0.0007409589,0.026940493],"study_design_scores_gemma":[0.0067920047,0.0010849829,0.9906333,0.00014463202,0.0000048433562,0.0000029318041,0.0009737062,0.0000051683223,0.000010029355,0.000017638167,0.00026423173,0.00006652951],"about_ca_topic_score_codex":0.00087128906,"about_ca_topic_score_gemma":0.001551237,"teacher_disagreement_score":0.026873963,"about_ca_system_score_codex":0.00011484818,"about_ca_system_score_gemma":0.00024304262,"threshold_uncertainty_score":0.3306416},"labels":[],"label_agreement":null},{"id":"W4412165485","doi":"10.2196/64954","title":"Exploring Women’s Perceptions of Traditional Mammography and the Concept of AI-Driven Thermography to Improve the Breast Cancer Screening Journey: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Mammography; Breast cancer; Thermography; Medicine; Gynecology; Cancer; Computer science; Internal medicine; Physics","score_opus":0.047106107249585485,"score_gpt":0.3690724026259016,"score_spread":0.3219662953763161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412165485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856313,0.0013983172,0.0018384535,0.00761809,0.0005798202,0.002294272,0.0003303578,0.00003621446,0.0002731694],"genre_scores_gemma":[0.98928285,0.00029544914,0.0009893465,0.0016563945,0.00033712867,0.0073495596,0.0000039626652,0.000029490524,0.000055798137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99782526,0.00043355091,0.0005651462,0.0003403248,0.0004897361,0.00034599224],"domain_scores_gemma":[0.9982891,0.00046451142,0.00021838318,0.00051697576,0.00037446566,0.00013654279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009943671,0.0002568742,0.0006749007,0.00055809226,0.00022984704,0.000018450628,0.00028950226,0.00006492592,0.0004948054],"category_scores_gemma":[0.00004309236,0.00014471704,0.00030588268,0.0015942815,0.0010260693,0.00011727049,0.00009032681,0.0005347529,1.82012e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005313023,0.0010866598,0.47315323,0.00040445433,0.0067814915,0.000008018657,0.13444676,0.00034212822,0.03469802,0.005049844,0.005254609,0.33346173],"study_design_scores_gemma":[0.0052746427,0.0004183024,0.9426504,0.0006189227,0.0005945202,0.000010164013,0.048163775,0.00008895604,0.0009790194,0.00040183702,0.0006457932,0.00015371101],"about_ca_topic_score_codex":0.0006044476,"about_ca_topic_score_gemma":0.00005505406,"teacher_disagreement_score":0.4694971,"about_ca_system_score_codex":0.0000803605,"about_ca_system_score_gemma":0.00016299172,"threshold_uncertainty_score":0.590139},"labels":[],"label_agreement":null},{"id":"W4412170658","doi":"10.2196/76515","title":"Adherence to Posttreatment Surveillance Guidelines in Non–Small Cell Lung Cancer: Retrospective Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Department of Veterans Affairs","keywords":"Preprint; Medicine; Lung cancer; Administration (probate law); Cohort; Cohort study; Family medicine; Environmental health; Oncology; Internal medicine; Political science","score_opus":0.01906429718390963,"score_gpt":0.37827916967507036,"score_spread":0.35921487249116074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412170658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9781958,0.005872431,0.000014119203,0.003640542,0.0007325921,0.007054661,0.00010003388,0.000065381704,0.0043244506],"genre_scores_gemma":[0.9720967,0.002051202,0.00015272688,0.0015332677,0.00019519427,0.015205083,0.000012311405,0.000032536012,0.0087209875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99779475,0.00004628634,0.00051088113,0.00085347064,0.00035277085,0.0004418387],"domain_scores_gemma":[0.9986506,0.000047131198,0.000112540634,0.0005842949,0.0004458235,0.00015959282],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020756159,0.0003467607,0.0007722664,0.00019929856,0.00007462147,0.000032915625,0.00015469165,0.000085282685,0.00031776942],"category_scores_gemma":[0.000029263469,0.00028034503,0.00011462117,0.00080680323,0.000024443309,0.000045452805,0.00009855198,0.0001747932,0.000020250267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002877168,0.0010655115,0.9676175,0.00014599899,0.00039341964,0.000088392415,0.0006003954,0.0002476988,0.00012246889,0.000008714143,0.024024324,0.005397832],"study_design_scores_gemma":[0.0043004192,0.000874433,0.98947763,0.0008590999,0.00024420416,7.178897e-7,0.00019730093,0.00015904751,0.0010677112,0.0000058825663,0.0025755176,0.00023802277],"about_ca_topic_score_codex":0.03885677,"about_ca_topic_score_gemma":0.046402957,"teacher_disagreement_score":0.021860117,"about_ca_system_score_codex":0.0043739383,"about_ca_system_score_gemma":0.00065015693,"threshold_uncertainty_score":0.9999649},"labels":[],"label_agreement":null},{"id":"W4412183615","doi":"10.2196/72217","title":"The Provision of Social Support in an Online Support Forum for Caregivers of People With Comorbid Dementia and Cancer: Content Analysis Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Leeds Beckett University","keywords":"Preprint; Dementia; Social support; Gerontology; Psychology; Medicine; World Wide Web; Computer science; Psychotherapist","score_opus":0.03561956800926237,"score_gpt":0.3933734990324447,"score_spread":0.3577539310231823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412183615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995661,0.00020489097,0.00005182149,0.0014362211,0.00002917588,0.0023287663,0.0001687113,0.000005149536,0.000114216644],"genre_scores_gemma":[0.9979687,0.00012942917,0.000017317307,0.00008095107,0.000015011125,0.00081148016,0.0000762828,0.0000074424293,0.00089340145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989274,0.000042749554,0.00027256427,0.00021427806,0.00031688294,0.0002260896],"domain_scores_gemma":[0.99924105,0.000039809078,0.000119223994,0.0001303226,0.00042340852,0.000046153524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002403362,0.00009731164,0.00036741717,0.00019820666,0.00008572193,0.000011436755,0.00008347777,0.000029201768,0.00012828273],"category_scores_gemma":[0.000008969506,0.00006295412,0.00007556216,0.0005052796,0.00010405934,0.000057000085,0.000053824107,0.00007655484,5.645039e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018927268,0.00079721847,0.97123975,0.00016084692,0.001340124,0.0000033268134,0.0022840057,0.0000026621149,0.0006057239,0.000021127342,0.0006883106,0.02096418],"study_design_scores_gemma":[0.005137476,0.0023992457,0.95781606,0.00004173726,0.0014286141,2.0640147e-7,0.030806653,0.00016799301,0.00088555535,0.0000042356282,0.001253294,0.0000589225],"about_ca_topic_score_codex":0.0025013068,"about_ca_topic_score_gemma":0.058544997,"teacher_disagreement_score":0.05604369,"about_ca_system_score_codex":0.000078944126,"about_ca_system_score_gemma":0.00044767608,"threshold_uncertainty_score":0.9586341},"labels":[],"label_agreement":null},{"id":"W4412441630","doi":"10.2196/52627","title":"The Impact of Digital Inequities on Nasal and Paranasal-Sinus Cancer Disparities in the United States: A Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; American Community Survey; Health equity; Cohort; Medicine; Ethnic group; Demography; Environmental health; Census; Geography; Political science; Population; Public health; Pathology; Sociology","score_opus":0.026403200906902152,"score_gpt":0.3889134227985184,"score_spread":0.3625102218916163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412441630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98968875,0.004154228,6.249708e-7,0.002754387,0.0001171129,0.0011995549,0.00012431925,0.0000183937,0.0019426062],"genre_scores_gemma":[0.99376774,0.0034454756,3.1528435e-7,0.0005457361,0.00006747484,0.0011897673,0.000009999568,0.000011515154,0.00096196745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892443,0.00006022716,0.00027810503,0.00019419409,0.0002681806,0.00027486356],"domain_scores_gemma":[0.9992104,0.00034009555,0.000064282205,0.00024907748,0.0000998409,0.000036300095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021021048,0.00017780771,0.00041855886,0.00012732319,0.00015139239,0.000063035775,0.000114250855,0.00003689388,0.000015775156],"category_scores_gemma":[0.000051678995,0.00008489982,0.000067728455,0.0004871584,0.00027685126,0.00006256002,0.00005663162,0.00021502253,4.916216e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008099149,0.00023520438,0.9783915,0.00008060026,0.00041559042,0.000014557322,0.0049729436,0.00009499274,0.0000056092276,0.00012198496,0.011946947,0.0029101411],"study_design_scores_gemma":[0.0016048576,0.00073355366,0.98749185,0.00038379992,0.00006923973,0.0000016258682,0.0066293636,0.00014015625,0.000013815311,0.000121877885,0.0027203436,0.00008952355],"about_ca_topic_score_codex":0.021597018,"about_ca_topic_score_gemma":0.0067522214,"teacher_disagreement_score":0.014844797,"about_ca_system_score_codex":0.00022158209,"about_ca_system_score_gemma":0.00028182197,"threshold_uncertainty_score":0.98491824},"labels":[],"label_agreement":null},{"id":"W4412485827","doi":"10.2196/71937","title":"Association Between Comorbidity Clusters and Mortality in Patients With Cancer: Predictive Modeling Using Machine Learning Approaches of Data From the United States and Hong Kong","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Comorbidity; Generalizability theory; Medicine; Context (archaeology); National Health and Nutrition Examination Survey; Cancer; Proportional hazards model; National Comorbidity Survey; Gerontology; Environmental health; Internal medicine; Population; Psychology","score_opus":0.11626916919320017,"score_gpt":0.35609112728922193,"score_spread":0.23982195809602175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412485827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99705845,0.000617441,0.0006321824,0.00030715537,0.000023647995,0.0005741894,0.00071978406,0.000016111782,0.000051009178],"genre_scores_gemma":[0.9981154,0.00042083563,0.00004963485,0.00005122191,0.00003252763,0.000025688481,0.001278872,0.0000086309265,0.00001716617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991744,0.000076926415,0.00017264872,0.00024563528,0.00020776063,0.00012261287],"domain_scores_gemma":[0.9994908,0.00010239215,0.00013843527,0.0001891395,0.00005188735,0.000027328275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019307634,0.00010192041,0.00021616108,0.00006506254,0.000066458146,0.000026651785,0.00007825598,0.000036716545,0.000008680988],"category_scores_gemma":[0.000026166648,0.000074550146,0.000009551441,0.00022731067,0.000062441206,0.00018823628,0.00019071435,0.00017784568,1.8736817e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001546998,0.0000327695,0.96095514,0.0001686097,0.0005131882,3.5994e-7,0.00048549988,0.036945853,0.0000011077368,0.0000027646365,0.000037831967,0.0007021536],"study_design_scores_gemma":[0.001147171,0.000014498446,0.5524156,0.00029326038,0.00035208018,4.7715467e-9,0.00067431596,0.44502738,0.0000018595863,0.000021890388,0.000014329117,0.000037602305],"about_ca_topic_score_codex":0.041956984,"about_ca_topic_score_gemma":0.005589672,"teacher_disagreement_score":0.40853953,"about_ca_system_score_codex":0.00028608352,"about_ca_system_score_gemma":0.00010387595,"threshold_uncertainty_score":0.9644227},"labels":[],"label_agreement":null},{"id":"W4412493919","doi":"10.2196/64685","title":"Predicting Pathological Complete Response Following Neoadjuvant Therapy in Patients With Breast Cancer: Development of Machine Learning–Based Prediction Models in a Retrospective Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Breast cancer; Medicine; Neoadjuvant therapy; Receiver operating characteristic; Logistic regression; Oncology; Internal medicine; Retrospective cohort study; Stage (stratigraphy); Medical diagnosis; Cancer; Machine learning; Adjuvant therapy; Artificial intelligence; Radiology; Computer science","score_opus":0.011568305814053468,"score_gpt":0.2719195429303791,"score_spread":0.26035123711632563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412493919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980263,0.00050554785,0.00010430151,0.00010544788,0.00007387231,0.00096066523,0.00018211362,0.000017661114,0.000024101597],"genre_scores_gemma":[0.99843323,0.000038383765,0.00013168501,0.000056950776,0.00001759201,0.0012368358,0.00004985742,0.000017005212,0.00001847357],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985954,0.00018535001,0.000316692,0.00045483492,0.00021535617,0.00023237486],"domain_scores_gemma":[0.999556,0.00001811027,0.00012558304,0.00016377318,0.00011047925,0.000026044581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023134776,0.00020637577,0.00031474806,0.0001274887,0.00009072772,0.0000075833523,0.000100158984,0.000077748875,0.0000070104393],"category_scores_gemma":[0.00001624896,0.00016172338,0.000047541904,0.00030861818,0.000044254222,0.000009404396,0.00007570731,0.00015782646,9.2133895e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009405943,0.00077847845,0.97560686,0.000009423567,0.00017980971,0.000004823838,0.0013123379,0.006457804,0.001358393,5.7764777e-7,0.0000050755743,0.0048804856],"study_design_scores_gemma":[0.008343497,0.00064745883,0.9889163,0.00020736526,0.00001798101,2.2765067e-7,0.00025647276,0.0009277582,0.00050851685,0.000004297374,0.00003630533,0.00013386457],"about_ca_topic_score_codex":0.0006402065,"about_ca_topic_score_gemma":0.002577244,"teacher_disagreement_score":0.013309407,"about_ca_system_score_codex":0.00040106496,"about_ca_system_score_gemma":0.00027421207,"threshold_uncertainty_score":0.6594888},"labels":[],"label_agreement":null},{"id":"W4412565794","doi":"10.2196/64900","title":"Impact of Immune Checkpoint Inhibitors on Second Primary Cancer Risk in Patients With Metastatic Lung Cancer Using Real-World Data From the TriNetX Network: Retrospective Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Lung cancer; Medicine; Oncology; Cancer; Internal medicine; Computer science; World Wide Web","score_opus":0.021636578919132763,"score_gpt":0.35574702328995067,"score_spread":0.3341104443708179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412565794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98994017,0.003383792,0.0000031108773,0.000106567575,0.00050283107,0.0041703056,0.0015269016,0.000024524483,0.0003418152],"genre_scores_gemma":[0.99696946,0.0013194389,0.000037030917,0.0002108734,0.000249864,0.00063570245,0.00016786958,0.000051899962,0.0003578364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972499,0.00021140775,0.0008110031,0.0007129103,0.0005706619,0.0004441088],"domain_scores_gemma":[0.9976762,0.00015407613,0.0007098228,0.0011983888,0.00019936469,0.00006217548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006593899,0.00038243024,0.0010123522,0.00019217255,0.00012738521,0.000029158824,0.000345188,0.00005379673,0.0008005249],"category_scores_gemma":[0.000020534273,0.00023378321,0.0001669224,0.0015601186,0.00018504071,0.0001674949,0.00017212814,0.0005362465,3.9566598e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014922274,0.0006799717,0.96973646,0.00007758908,0.0044588773,0.000004494913,0.00045269207,0.0010287823,0.00022023555,4.3347885e-7,0.0033232837,0.005094887],"study_design_scores_gemma":[0.0100724,0.0006120364,0.98546803,0.0015456139,0.0010147704,1.3359892e-7,0.000087289714,0.00063906406,0.00017485232,0.000003577397,0.00014055698,0.00024167169],"about_ca_topic_score_codex":0.27072588,"about_ca_topic_score_gemma":0.11056695,"teacher_disagreement_score":0.16015892,"about_ca_system_score_codex":0.0037959605,"about_ca_system_score_gemma":0.00129112,"threshold_uncertainty_score":0.9926305},"labels":[],"label_agreement":null},{"id":"W4412627253","doi":"10.2196/70251","title":"Design and Validation of a Chatbot-Based Cervical Cancer Screening Decision Aid for Women Experiencing Socioeconomic Disadvantage: User-Centered Approach Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"AI in Service Interactions","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"World Health Organization","keywords":"Chatbot; Disadvantaged; Medicine; Socioeconomic status; Focus group; Health care; Nursing; Disadvantage; Family medicine; Psychology; Medical education; Population; Computer science; World Wide Web; Environmental health; Political science","score_opus":0.03614973878844105,"score_gpt":0.3620827402640566,"score_spread":0.32593300147561555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412627253","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46008125,0.00006436978,0.5385492,0.00020600481,0.00018820187,0.0008472262,0.0000070138194,0.000037957514,0.000018818222],"genre_scores_gemma":[0.9111015,0.000009792557,0.08412457,0.00030858666,0.000046306297,0.0043018386,0.0000026647708,0.000015056855,0.000089679204],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857205,0.00008494813,0.0003769355,0.0005243379,0.00016287039,0.00027885512],"domain_scores_gemma":[0.9988803,0.00034712002,0.0001923182,0.0003952793,0.000117619034,0.00006732341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029639216,0.00016826577,0.0002738035,0.00016680693,0.0001829995,0.0001277644,0.0004894763,0.00006269708,0.00004556588],"category_scores_gemma":[0.000014265577,0.00016401168,0.000055816596,0.00022441703,0.000036836333,0.0006149367,0.00019595354,0.00010951232,0.0000012447226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003372949,0.003091528,0.27150026,0.0011492951,0.00082544686,0.000005225436,0.13947491,0.22823432,0.015602541,0.0016576804,0.0024460447,0.3326398],"study_design_scores_gemma":[0.0062870877,0.00041216082,0.024104461,0.00034325875,0.000048542766,0.0000014027132,0.013394205,0.9367988,0.014700511,0.0006112126,0.0027832496,0.00051512447],"about_ca_topic_score_codex":0.0002180449,"about_ca_topic_score_gemma":0.00006797065,"teacher_disagreement_score":0.70856446,"about_ca_system_score_codex":0.0004417263,"about_ca_system_score_gemma":0.00019709756,"threshold_uncertainty_score":0.66882026},"labels":[],"label_agreement":null},{"id":"W4412676845","doi":"10.2196/73455","title":"Quality Assessment of Radiotherapy Health Information on Short-Form Video Platforms of TikTok and Bilibili: Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Quality (philosophy); Medicine; Computer science; World Wide Web","score_opus":0.10509452871853155,"score_gpt":0.5817813677864015,"score_spread":0.47668683906787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412676845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99081606,0.00008052281,0.0012680071,0.0003364011,0.0006389999,0.003100006,0.00021904992,0.000043057462,0.0034978953],"genre_scores_gemma":[0.99440086,0.00010207479,0.00037906875,0.0040794765,0.000054446515,0.0006927603,0.000050926545,0.0000058217374,0.00023459402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99577034,0.0002292153,0.0030182935,0.00019767639,0.00048409397,0.00030036422],"domain_scores_gemma":[0.9975101,0.00041969586,0.0010438528,0.000421437,0.0004935598,0.0001113564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043246513,0.00014991601,0.00047277432,0.00026254955,0.00044357523,0.000020321686,0.00015085575,0.0001580917,0.0004416545],"category_scores_gemma":[0.00011811036,0.000112602545,0.00006206058,0.0004036082,0.000089181434,0.001447412,0.000063711246,0.00048713715,0.0000029205532],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034107908,0.0002240155,0.96475667,0.0021796622,0.0000332854,1.4900245e-8,0.006209895,0.000058392976,0.000008308311,0.0032456927,0.0007894473,0.022153517],"study_design_scores_gemma":[0.0016473837,0.00032347464,0.98604614,0.00019626349,0.000002105677,7.079945e-8,0.0015783933,0.0014014068,0.000016077882,0.00034888054,0.008354587,0.00008521374],"about_ca_topic_score_codex":0.0014431046,"about_ca_topic_score_gemma":0.00038538763,"teacher_disagreement_score":0.022068303,"about_ca_system_score_codex":0.000818607,"about_ca_system_score_gemma":0.0018653157,"threshold_uncertainty_score":0.4835807},"labels":[],"label_agreement":null},{"id":"W4412727147","doi":"10.2196/75741","title":"Public Involvement in Cancer Research: Collaborative Evaluation Using Photovoice","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Photovoice; Public involvement; Narrative; Public relations; Process (computing); Public health; Medical education; Political science; Psychology; Medicine; Nursing; Computer science","score_opus":0.9171393560056962,"score_gpt":0.7684516216150726,"score_spread":0.14868773439062355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412727147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9618734,0.0029680636,0.00006843031,0.005614617,0.00053248194,0.0026218484,0.000020680769,0.000034433284,0.026266057],"genre_scores_gemma":[0.99074787,0.00057197444,0.0002786304,0.00036559068,0.0002056247,0.0060609616,0.0000015834439,0.000011122714,0.0017566249],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99109614,0.005619605,0.00025788075,0.00037941535,0.001829541,0.0008174184],"domain_scores_gemma":[0.99712807,0.00057314953,0.00006712324,0.00021149853,0.0018443177,0.00017582184],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.015745122,0.00009754478,0.00017613122,0.0005516808,0.0006268452,0.00018451366,0.000339607,0.000114299764,0.0014028966],"category_scores_gemma":[0.0030124153,0.00009974422,0.00003002332,0.0048736655,0.0005407162,0.00044229938,0.00013135822,0.00037333727,0.000011629337],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00051569013,0.00126054,0.35433707,0.0003164111,0.00030124135,0.000019438816,0.17952842,0.0021313038,0.103144646,0.074186094,0.041658342,0.24260083],"study_design_scores_gemma":[0.0025787668,0.00010805319,0.069032885,0.0008655735,0.00004220521,3.1059614e-8,0.05151975,0.020391215,0.018936722,0.016857008,0.8191267,0.0005410863],"about_ca_topic_score_codex":0.043509036,"about_ca_topic_score_gemma":0.19302222,"teacher_disagreement_score":0.7774684,"about_ca_system_score_codex":0.005697509,"about_ca_system_score_gemma":0.012388585,"threshold_uncertainty_score":0.99950993},"labels":[],"label_agreement":null},{"id":"W4412790367","doi":"10.2196/73616","title":"Virtual Health Assistants in Preventive Cancer Care Communication: Systematic Review","year":2025,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Preventive care; Medicine; Health care; Systematic review; MEDLINE; Family medicine; Nursing; Computer science; World Wide Web; Political science","score_opus":0.06372682724195251,"score_gpt":0.5129700013137529,"score_spread":0.4492431740718004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412790367","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[8.8705684e-7,0.98108006,0.0000046879018,0.0020576247,0.0002989643,0.015709523,0.0004085801,0.000051098723,0.00038857092],"genre_scores_gemma":[0.000012842703,0.96848977,0.000041544576,0.005021273,0.00014354353,0.023197548,0.0009845723,0.00004693773,0.0020619668],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9957427,0.00080150383,0.002095117,0.00046391776,0.00047138904,0.00042539],"domain_scores_gemma":[0.99706453,0.00024823972,0.0013642652,0.00091604906,0.00022891385,0.00017801039],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058233645,0.00044006965,0.0044274866,0.00033836052,0.00010174931,0.0000129385935,0.00029464922,0.00017826792,0.00048663927],"category_scores_gemma":[0.00012982337,0.00033413197,0.00031258262,0.00110356,0.000040808438,0.000067730354,0.00009254644,0.00066969043,0.000017816674],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045357024,0.000029816267,0.000038909846,0.62411207,0.000120975405,0.0000041127864,0.00032585658,2.4253923e-8,1.9469066e-9,0.000023211896,0.015105312,0.36023515],"study_design_scores_gemma":[0.00043552372,0.00008188935,0.00007090203,0.61332124,0.0014452467,0.0000061339492,0.00028356494,1.7184902e-7,3.0379375e-8,0.0000011989694,0.38422126,0.0001328231],"about_ca_topic_score_codex":0.0012228248,"about_ca_topic_score_gemma":0.0032936228,"teacher_disagreement_score":0.36911592,"about_ca_system_score_codex":0.0028509616,"about_ca_system_score_gemma":0.0060676625,"threshold_uncertainty_score":0.99991107},"labels":[],"label_agreement":null},{"id":"W4413050793","doi":"10.2196/64977","title":"Companionship and Sharing Create Social Connections of an Online Community-Based Intervention for Patients with Cancer Receiving Outpatient Care: Pilot Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intervention (counseling); Quality of life (healthcare); Medicine; Online community; Login; Baseline (sea); Cancer; Outpatient clinic; Family medicine; Physical therapy; Psychiatry; Nursing; World Wide Web; Internal medicine","score_opus":0.07882148984110872,"score_gpt":0.37861274905696024,"score_spread":0.29979125921585154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413050793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99690914,0.00019770378,0.0000932125,0.00018681695,0.00032856362,0.0016995103,0.00046998257,0.000042054606,0.00007298987],"genre_scores_gemma":[0.9980321,0.000005964921,0.000041296502,0.00021448442,0.00007351954,0.0011690984,0.00033695594,0.000021639682,0.00010496576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911433,0.000116155505,0.0002534083,0.00020954774,0.00015709971,0.00014943517],"domain_scores_gemma":[0.9990449,0.00007683893,0.0001311067,0.00021408573,0.00047786007,0.00005522923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012833609,0.00013854892,0.00030677184,0.00013227078,0.00031305224,0.000020686863,0.0000840936,0.000037866273,0.000028690773],"category_scores_gemma":[0.00001804591,0.00012337786,0.00005333203,0.00023880419,0.00006331162,0.00006662836,0.00004712454,0.00024581142,5.9641096e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031073573,0.0032292616,0.9706508,0.0011002908,0.00016692594,2.4230613e-7,0.009546123,0.00005108278,0.00004300542,0.000029077188,0.00006544316,0.012010406],"study_design_scores_gemma":[0.008459455,0.0059690517,0.96864617,0.0009853472,0.0003342894,8.398166e-8,0.014550184,0.00015800014,0.0001223123,0.000014580318,0.0006270392,0.00013346616],"about_ca_topic_score_codex":0.029354014,"about_ca_topic_score_gemma":0.25661752,"teacher_disagreement_score":0.22726351,"about_ca_system_score_codex":0.00032224986,"about_ca_system_score_gemma":0.00012280584,"threshold_uncertainty_score":0.9771096},"labels":[],"label_agreement":null},{"id":"W4413055387","doi":"10.2196/75728","title":"The Burden and Risk Factors of Gastric Cancer in Eastern Asia From 1990 to 2021: Longitudinal Observational Study of the Global Burden of Disease Study 2021","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Observational study; Disease; Burden of disease; Medicine; Cancer; Environmental health; Disease burden; Demography; Internal medicine","score_opus":0.03991177572372532,"score_gpt":0.34775080461838503,"score_spread":0.3078390288946597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413055387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99439186,0.0011942544,0.0000067906644,0.0017217027,0.00031034,0.0019939053,0.000286479,0.0000034158018,0.000091236536],"genre_scores_gemma":[0.99848646,0.0001980239,0.0000063701814,0.000017918817,0.00020532576,0.0002597267,0.0000040402447,0.0000073325696,0.0008147817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843305,0.00009412601,0.0004561223,0.00029840905,0.0005374999,0.00018080579],"domain_scores_gemma":[0.99901015,0.00011776749,0.00024720922,0.00041428418,0.0001382081,0.0000723951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014135659,0.00016679525,0.00040401623,0.00009336084,0.00006222394,0.000014747562,0.00025712262,0.000026899477,0.00019005348],"category_scores_gemma":[0.00007692158,0.000101666104,0.0000840246,0.000994673,0.00007064079,0.000047853046,0.00028101166,0.00012336607,4.4206556e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007333495,0.00026104727,0.98502827,0.000050466166,0.0005243432,0.0000030555807,0.0017973665,0.0015854853,0.000013047832,0.000012371103,0.0006098352,0.009381389],"study_design_scores_gemma":[0.0025852777,0.00023117234,0.98550636,0.00020470924,0.0005786114,3.4672166e-8,0.00996071,0.00021678333,0.000007189196,0.00003484562,0.0006063717,0.000067938134],"about_ca_topic_score_codex":0.08954638,"about_ca_topic_score_gemma":0.018556532,"teacher_disagreement_score":0.070989855,"about_ca_system_score_codex":0.00022019306,"about_ca_system_score_gemma":0.0002676038,"threshold_uncertainty_score":0.9993523},"labels":[],"label_agreement":null},{"id":"W4413089711","doi":"10.2196/74389","title":"Burden and Future Trends of Gastric Cancer in 5 East Asian Countries From 1990 to 2036: Epidemiological Study Analysis Using the Global Burden of Diseases Study 2021","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Cancer; Medicine; Environmental health; Internal medicine; Computer science","score_opus":0.02183938621474048,"score_gpt":0.36570159421749354,"score_spread":0.3438622080027531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413089711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854728,0.0050440566,0.000035665824,0.0075854934,0.0001856642,0.0010619892,0.00039730428,0.000011010471,0.00020603482],"genre_scores_gemma":[0.99825203,0.00029314685,0.000042806285,0.00017332149,0.00064607407,0.00023615088,0.000011744966,0.000006843599,0.0003378633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982317,0.00016402792,0.00053485745,0.000437388,0.0003726129,0.00025940532],"domain_scores_gemma":[0.9991359,0.00007670629,0.0001955582,0.00039821627,0.00010088339,0.00009272481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002172949,0.00022970536,0.001012325,0.00041332075,0.000058555222,0.00002015201,0.00020111988,0.000056539757,0.0008215031],"category_scores_gemma":[0.00004062759,0.00014657078,0.00016505212,0.0032296807,0.0000937328,0.000050152867,0.00019674598,0.00012734778,3.3553394e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060704874,0.00020582914,0.9571873,0.000040795465,0.0018358403,0.000017588116,0.0024778047,0.0018209798,0.0000071623053,0.000015446863,0.0007407654,0.03504342],"study_design_scores_gemma":[0.0020105238,0.00024185002,0.9624591,0.00008799626,0.0036098233,1.7206175e-7,0.029101325,0.00036856352,9.1755277e-7,0.000015362799,0.0020043275,0.00010007605],"about_ca_topic_score_codex":0.030178182,"about_ca_topic_score_gemma":0.01290738,"teacher_disagreement_score":0.034943342,"about_ca_system_score_codex":0.000329237,"about_ca_system_score_gemma":0.0001446527,"threshold_uncertainty_score":0.97628},"labels":[],"label_agreement":null},{"id":"W4413102943","doi":"10.2196/70510","title":"Using eHealth to Support Quality of Life and Well-Being in Patients With Lung Cancer: Systematic Review","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; eHealth; Lung cancer; Quality of life (healthcare); Quality (philosophy); Medicine; Psychology; Oncology; Computer science; Health care; World Wide Web; Political science; Nursing; Philosophy","score_opus":0.023280643944251667,"score_gpt":0.3895467211009328,"score_spread":0.36626607715668114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413102943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96708065,0.02728954,0.00004443566,0.0009896881,0.00023490738,0.0032648924,0.000023986735,0.000017411323,0.0010545052],"genre_scores_gemma":[0.9912644,0.0020270953,0.00003070091,0.0058620684,0.00003159587,0.0005214422,0.0000061861833,0.000014779898,0.00024171887],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861526,0.000092059454,0.00056225265,0.00024039697,0.00029011443,0.00019993861],"domain_scores_gemma":[0.9991924,0.00003916067,0.00019031549,0.00027193272,0.0001750538,0.00013112841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034145146,0.00013279862,0.0008917633,0.00011584075,0.000028163382,0.000006627687,0.00005925469,0.000044320182,0.000093212264],"category_scores_gemma":[0.00005342253,0.00010253992,0.00004396069,0.0005222173,0.000024107947,0.000048520047,0.000036192996,0.00011411417,5.184021e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018327625,0.000031872918,0.64914143,0.34918514,0.00005363311,8.2046773e-7,0.0006653341,0.000005836557,0.0000062291288,0.00004486763,0.00038838258,0.00029315142],"study_design_scores_gemma":[0.0028606765,0.00021535646,0.5850351,0.41008082,0.000539487,6.0664405e-7,0.00034942283,0.00006477105,0.000045878212,0.0000087135895,0.0005196221,0.00027956502],"about_ca_topic_score_codex":0.00864493,"about_ca_topic_score_gemma":0.010696431,"teacher_disagreement_score":0.06410638,"about_ca_system_score_codex":0.00042568945,"about_ca_system_score_gemma":0.0006622312,"threshold_uncertainty_score":0.9979566},"labels":[],"label_agreement":null},{"id":"W4413258542","doi":"10.2196/64183","title":"Toward an Understanding of the Lack of Transmission of Facts About Human Papillomavirus: Qualitative Case Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"King Abdulaziz University","keywords":"Snowball sampling; Curiosity; Qualitative research; Social media; Psychological intervention; Cervical cancer; Psychology; Medicine; Transmission (telecommunications); Interpersonal communication; Social psychology; Nursing; Cancer; Computer science","score_opus":0.3792217858546226,"score_gpt":0.5599053924398462,"score_spread":0.1806836065852236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413258542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908942,0.00065858156,0.0001605043,0.00040087232,0.000045826695,0.0009539086,0.00003743549,0.000008137132,0.0068405345],"genre_scores_gemma":[0.9992983,0.000053926986,0.000013513955,0.00007867597,0.000022381457,0.00005072903,0.0000016792981,0.000009202082,0.00047159518],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99876726,0.00017755623,0.00034559853,0.00016973198,0.00039731685,0.00014251527],"domain_scores_gemma":[0.99926305,0.000097399934,0.000101466714,0.000268942,0.00019815471,0.00007101478],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00031759968,0.0000919693,0.0003659863,0.00009777589,0.00006411859,0.00000395326,0.000115338036,0.000054373155,0.0009380457],"category_scores_gemma":[0.000022270973,0.000058284473,0.000105475745,0.0003978696,0.00019771645,0.000043210068,0.000041357576,0.00017587346,2.0608285e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005163614,0.0048651984,0.12037221,0.011161977,0.0012841225,0.00024352242,0.67588514,0.000068792724,0.077734865,0.009686171,0.001928883,0.09160547],"study_design_scores_gemma":[0.012714408,0.003652344,0.36731684,0.0014926262,0.0004973574,0.000014861531,0.52846974,0.00012280529,0.0799349,0.004220032,0.0012714942,0.00029259472],"about_ca_topic_score_codex":0.00502414,"about_ca_topic_score_gemma":0.0014677776,"teacher_disagreement_score":0.24694462,"about_ca_system_score_codex":0.00019477,"about_ca_system_score_gemma":0.00028133628,"threshold_uncertainty_score":0.9999752},"labels":[],"label_agreement":null},{"id":"W4413317579","doi":"10.2196/78010","title":"Narrative Expertise in Oncology: An Integrated Training Model to Advance the Field","year":2025,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Empathy and Medical Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Preprint; Narrative; Field (mathematics); Training (meteorology); Medical education; Medicine; Computer science; Art; World Wide Web; Geography; Literature; Mathematics","score_opus":0.11106828850668518,"score_gpt":0.5207153399944857,"score_spread":0.40964705148780056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413317579","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016130255,0.9899211,0.00025720135,0.0052707335,0.0005504363,0.0017964895,0.000012339206,0.00002933301,0.002001085],"genre_scores_gemma":[0.0001829359,0.97775584,0.00037481292,0.010384511,0.00031309135,0.005728869,0.0000538172,0.0000185514,0.0051875697],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988281,0.00012550135,0.0003624561,0.00032477867,0.00013750358,0.00022166147],"domain_scores_gemma":[0.99912333,0.00025833963,0.00009853932,0.00028927642,0.000069480746,0.00016104465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001966901,0.00021215358,0.00090840546,0.00013757266,0.00004578462,0.000006917236,0.00016396392,0.00031212042,0.00019259451],"category_scores_gemma":[0.0006655625,0.00012359106,0.00011900349,0.0005046684,0.000039147602,0.000051234692,0.000024059986,0.00079720543,0.0000050436056],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039888382,0.00007512127,3.4408492e-7,0.0013918385,0.000018929024,0.0000074334794,0.15183912,0.000013279035,3.6139028e-7,0.000019327612,0.009502717,0.8370916],"study_design_scores_gemma":[0.00023983969,0.00019918178,0.0000021030476,0.028006647,0.000106286665,0.0000043302425,0.02439675,0.00026449093,0.0000016651219,0.00001899087,0.946636,0.00012368079],"about_ca_topic_score_codex":0.00014710735,"about_ca_topic_score_gemma":0.00081913156,"teacher_disagreement_score":0.9371333,"about_ca_system_score_codex":0.00067413313,"about_ca_system_score_gemma":0.0047294237,"threshold_uncertainty_score":0.8389795},"labels":[],"label_agreement":null},{"id":"W4413396758","doi":"10.2196/58113","title":"Comparing the Costs of Surveillance of Early-Stage Breast Cancer by Digital or Traditional Follow-Up Methods: Randomized Crossover Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Randomization; Breast cancer; Randomized controlled trial; Health care; Digital health; Stage (stratigraphy); Medical emergency; Family medicine; Emergency medicine; Cancer; Surgery; Internal medicine","score_opus":0.0413372442531431,"score_gpt":0.37622445134525795,"score_spread":0.33488720709211484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413396758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884753,0.0020930236,0.00068342563,0.00067934097,0.0011267633,0.0019658671,0.0018976097,0.000035049496,0.0030435768],"genre_scores_gemma":[0.9920015,0.00012508754,0.000015045013,0.0002449798,0.0001231293,0.00096259563,0.000028553914,0.00002302832,0.006476078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981949,0.00023660444,0.00055702985,0.00031352325,0.0004564062,0.00024155065],"domain_scores_gemma":[0.9982218,0.00075337075,0.00026728935,0.00036966414,0.00031557388,0.00007231414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005740456,0.00021760397,0.0010708363,0.000078301535,0.00007391218,0.000042006912,0.00021075197,0.00007216712,0.00069570984],"category_scores_gemma":[0.00007913166,0.00013546775,0.0003028868,0.0004962373,0.00030215963,0.00011858235,0.00006516095,0.00022006914,0.000001003345],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.23040417,0.0007609743,0.7355879,0.000478758,0.0020617433,0.000007651629,0.004327154,0.000057123383,0.0009333853,0.0007788159,0.011402431,0.013199921],"study_design_scores_gemma":[0.30031842,0.00033560197,0.6758011,0.0012187371,0.000612652,0.000009068808,0.004376725,0.0004686808,0.0022022452,0.00013081868,0.013987134,0.00053882826],"about_ca_topic_score_codex":0.01121579,"about_ca_topic_score_gemma":0.009525605,"teacher_disagreement_score":0.06991427,"about_ca_system_score_codex":0.0002506309,"about_ca_system_score_gemma":0.00046022,"threshold_uncertainty_score":0.9953686},"labels":[],"label_agreement":null},{"id":"W4413425700","doi":"10.2196/74010","title":"Patient Attitudes Toward Artificial Intelligence in Cancer Care: Scoping Review","year":2025,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"","keywords":"Cancer; Psychology; Medicine; Artificial intelligence; Computer science; Internal medicine","score_opus":0.3631906479841935,"score_gpt":0.5847468948321952,"score_spread":0.22155624684800174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413425700","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008897935,0.989374,0.000033491124,0.0010836453,0.0021348745,0.006890604,0.000045517532,0.000052431773,0.00037656855],"genre_scores_gemma":[0.00007743358,0.9861808,0.00007179892,0.0015123201,0.0008196514,0.011049958,0.00010027679,0.000045535497,0.00014223788],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99648124,0.0001534935,0.0017376395,0.0007432237,0.00037491095,0.00050951325],"domain_scores_gemma":[0.99829686,0.00023311407,0.00043380648,0.0005201181,0.00034843085,0.00016768684],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021076215,0.00046068663,0.0020937575,0.00035981543,0.00008314543,0.000031717504,0.00020652181,0.00037869846,0.0010437795],"category_scores_gemma":[0.0002328898,0.00038784195,0.00042036784,0.0012222113,0.000079603364,0.00007916352,0.00008570217,0.00076716987,0.000104520135],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008180381,0.00005714959,0.00006231436,0.36953828,0.00002373534,0.000008316581,0.000489606,0.0000018673396,5.997673e-8,0.00002799943,0.0006389949,0.6291435],"study_design_scores_gemma":[0.0000054493394,0.00006625623,0.000004987539,0.7535612,0.00036034288,0.0000037541981,0.0001786724,0.0000015821242,0.000026988046,0.000028085782,0.24549225,0.00027040642],"about_ca_topic_score_codex":0.003192402,"about_ca_topic_score_gemma":0.003813232,"teacher_disagreement_score":0.6288731,"about_ca_system_score_codex":0.0018058054,"about_ca_system_score_gemma":0.0074922056,"threshold_uncertainty_score":0.9998694},"labels":[],"label_agreement":null},{"id":"W4413511760","doi":"10.2196/69097","title":"Developing and Testing an Online Portal for Virtual Navigation for Asian American Patients With Cancer: Pilot Feasibility Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Chronic Disease Prevention and Health Promotion; National Cancer Institute","keywords":"Preprint; Asian americans; Computer science; World Wide Web; Psychology; Political science","score_opus":0.06907419344837033,"score_gpt":0.39070910287895155,"score_spread":0.3216349094305812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413511760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941755,0.00008271161,0.000866451,0.0005331147,0.00028826954,0.0035239465,0.0004223896,0.00006222441,0.00004539844],"genre_scores_gemma":[0.9955869,0.000004588509,0.0012144701,0.0005386956,0.00020190224,0.002064571,0.00024143151,0.000027540436,0.000119903714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988943,0.000022606295,0.00023299616,0.00043881394,0.0001779649,0.00023335277],"domain_scores_gemma":[0.99903584,0.00006789101,0.00013280813,0.00019043549,0.0004790894,0.00009392617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108141976,0.00016969876,0.00031813647,0.000064226355,0.00014764574,0.000025626532,0.000059044767,0.000028805007,0.0000062305935],"category_scores_gemma":[0.0000505877,0.00014221856,0.000028787877,0.00036072903,0.00007650544,0.00010451323,0.000023768493,0.000098990175,5.282736e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015790425,0.00042962623,0.8196735,0.00020049614,0.0000740175,8.4630403e-7,0.00092372956,0.000006194174,0.000049490696,0.000035923233,0.00006264761,0.17696449],"study_design_scores_gemma":[0.004503892,0.004690315,0.9844336,0.0004138136,0.00015789311,5.471612e-7,0.0043400032,0.0001790444,0.00009121092,0.00003398393,0.00096642104,0.00018929342],"about_ca_topic_score_codex":0.0044077756,"about_ca_topic_score_gemma":0.051888708,"teacher_disagreement_score":0.1767752,"about_ca_system_score_codex":0.00034459197,"about_ca_system_score_gemma":0.0006014975,"threshold_uncertainty_score":0.96541184},"labels":[],"label_agreement":null},{"id":"W4413677589","doi":"10.2196/64929","title":"Serum Alpha-Fetoprotein-Tumor Size Ratio as a Prognostic Marker After Hepatic Resection for Primary Hepatocellular Carcinoma: Propensity Score Matched Retrospective Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Division of Graduate Education; National Natural Science Foundation of China","keywords":"Medicine; Propensity score matching; Internal medicine; Hepatocellular carcinoma; Retrospective cohort study; Hepatectomy; Proportional hazards model; Nomogram; Hepatology; Cohort; Medical record; Oncology; Surgery; Resection","score_opus":0.029049051472969486,"score_gpt":0.27286195246474215,"score_spread":0.24381290099177266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413677589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96536577,0.0010652542,0.000085416184,0.00080857327,0.00041768132,0.03113831,0.000067792695,0.00016552334,0.00088565703],"genre_scores_gemma":[0.9520426,0.000026158084,0.00016117406,0.0006953326,0.00028976853,0.03865967,0.00007272972,0.00009221723,0.007960385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966542,0.00022452716,0.00064578466,0.0011442926,0.0006743915,0.00065679057],"domain_scores_gemma":[0.9979428,0.00014724587,0.00022509793,0.0007851874,0.0006819096,0.00021776721],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00062874967,0.00055665144,0.0011109759,0.00021968133,0.00029577554,0.00010166117,0.00015477357,0.00020091694,0.0006289331],"category_scores_gemma":[0.00024061433,0.00047216634,0.00035216394,0.0006555422,0.000115396746,0.00022152823,0.00013725324,0.00040352088,0.00004827232],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006361169,0.0012343631,0.9862519,0.0011313411,0.0008075615,0.0006904072,0.0004942888,2.512171e-7,0.0019505887,0.000015447995,0.00056239107,0.000500317],"study_design_scores_gemma":[0.0051597725,0.002357703,0.9778026,0.0004618384,0.0015281847,0.000028817392,0.00011273094,0.000720994,0.010847157,0.00016890284,0.00038800683,0.0004232962],"about_ca_topic_score_codex":0.0011060932,"about_ca_topic_score_gemma":0.0005048715,"teacher_disagreement_score":0.013323227,"about_ca_system_score_codex":0.0015210665,"about_ca_system_score_gemma":0.0009562862,"threshold_uncertainty_score":0.999773},"labels":[],"label_agreement":null},{"id":"W4413751223","doi":"10.2196/77214","title":"Social Media–Based Cancer Education: Bibliometric and Thematic Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Thematic map; Thematic analysis; Sociology; Qualitative research; Social science; Geography; Computer science; World Wide Web; Cartography","score_opus":0.12037816072798274,"score_gpt":0.5308964582902044,"score_spread":0.41051829756222163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413751223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90234476,0.012189373,0.000070431786,0.0647958,0.008320825,0.0017734437,0.000021955897,0.00013416022,0.010349277],"genre_scores_gemma":[0.98703444,0.0012336599,0.00014298093,0.0014624031,0.0020020457,0.007608547,0.000007515383,0.000009076418,0.000499338],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986266,0.00018473965,0.00023200226,0.00024427343,0.00042335235,0.00028903515],"domain_scores_gemma":[0.99774075,0.0015591596,0.00014707897,0.00012052716,0.0003012337,0.00013126686],"candidate_categories":["bibliometrics","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00046552345,0.00009825689,0.00024665735,0.009634664,0.000639282,0.00009387305,0.00017913322,0.00014045765,0.0010404545],"category_scores_gemma":[0.0011744576,0.00010049951,0.00007898827,0.076838754,0.00024004445,0.00013376748,0.000017432501,0.00012453599,0.0000067610717],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011841458,0.00015508142,0.40829542,0.00020789176,0.00017922749,1.4370428e-7,0.042208187,0.000006064494,0.000006879719,0.008692408,0.026451178,0.51378566],"study_design_scores_gemma":[0.00022202947,0.0000043971154,0.88121325,0.000088578825,0.000433817,1.2838378e-8,0.0075248796,0.000059031023,0.000022184773,0.0020511781,0.108206004,0.00017463462],"about_ca_topic_score_codex":0.014630656,"about_ca_topic_score_gemma":0.022018535,"teacher_disagreement_score":0.513611,"about_ca_system_score_codex":0.0006598455,"about_ca_system_score_gemma":0.003968198,"threshold_uncertainty_score":0.99987274},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W4413810683","doi":"10.2196/74387","title":"Development of a Mobile App (iCANSleep) to Treat Insomnia in Cancer Survivors: User-Centered Design Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Beatrice Hunter Cancer Research Institute; Memorial University of Newfoundland","funders":"","keywords":"Preprint; Mobile apps; Psychology; Gerontology; Medicine; World Wide Web; Computer science","score_opus":0.045530097012122454,"score_gpt":0.3685197152677091,"score_spread":0.32298961825558664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413810683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927694,0.0014981854,0.00047296594,0.0002886257,0.0005450353,0.0034242175,0.000037812017,0.00006400809,0.00089972705],"genre_scores_gemma":[0.9863938,0.000104586325,0.00039017724,0.00060587627,0.00008209114,0.0086854175,0.000007460286,0.000034701112,0.0036958803],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980634,0.00009317053,0.0005774546,0.00050384173,0.00037484255,0.00038728138],"domain_scores_gemma":[0.9991046,0.00005295564,0.00009201696,0.00043026794,0.00016828736,0.00015187604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025357693,0.0002679772,0.00063434616,0.00039551494,0.0000488421,0.000016314245,0.00020390477,0.00009869974,0.00043670728],"category_scores_gemma":[0.000013557812,0.00024124126,0.00008134963,0.0011804034,0.000034779114,0.000059432645,0.00010162487,0.00018434164,0.000009862524],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033209675,0.0027515949,0.70186937,0.0008442366,0.0003469007,0.000044532702,0.054500617,0.00060607743,0.009535962,0.00001876493,0.0048537375,0.22130725],"study_design_scores_gemma":[0.012254867,0.0012356617,0.62446296,0.002977377,0.00030921478,0.000001948434,0.022931157,0.00009680487,0.04187542,0.00001349175,0.2929462,0.0008948949],"about_ca_topic_score_codex":0.022319647,"about_ca_topic_score_gemma":0.24726868,"teacher_disagreement_score":0.28809243,"about_ca_system_score_codex":0.00093821296,"about_ca_system_score_gemma":0.0010705134,"threshold_uncertainty_score":0.9841908},"labels":[],"label_agreement":null},{"id":"W4413975452","doi":"10.2196/73576","title":"Prognostic Value of Dynamic Lactate Dehydrogenase Trends in Immunotherapy for Advanced Esophageal Squamous Cell Carcinoma: Retrospective Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Medicine; Esophageal squamous cell carcinoma; Retrospective cohort study; Immunotherapy; Oncology; Internal medicine; Basal cell; Cohort; Lactate dehydrogenase; Cohort study; Carcinoma; Cancer; Biology; Computer science","score_opus":0.006682319289167792,"score_gpt":0.3127377121835508,"score_spread":0.306055392894383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413975452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889068,0.005703393,0.00004070987,0.00020063823,0.00033034614,0.0038680802,0.00010412507,0.00004440999,0.0008015046],"genre_scores_gemma":[0.9932865,0.00011233096,0.00010841178,0.00020801295,0.00003340098,0.0029111388,0.000039877035,0.00004307629,0.0032572418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998286,0.00006147481,0.0005243862,0.00050321856,0.0002573496,0.00036758912],"domain_scores_gemma":[0.9991178,0.00008545673,0.00019014617,0.00041586466,0.00014149939,0.0000492554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026481817,0.00026982938,0.00065526436,0.00041766043,0.00006386162,0.000010912369,0.00014653172,0.000104185914,0.000116658564],"category_scores_gemma":[0.000017466506,0.00024287729,0.00023224081,0.00091650116,0.00009483333,0.000069383954,0.000023460707,0.00019442548,8.125335e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01093127,0.001560688,0.93195724,0.00022826632,0.00024302005,0.00003379152,0.0011696375,0.00004326722,0.036211852,0.000016618744,0.00029263494,0.017311707],"study_design_scores_gemma":[0.018558087,0.0017284447,0.9674484,0.00009298005,0.00016567335,0.0000024463372,0.0003223696,0.0006966293,0.010481063,0.000039775303,0.00026559684,0.00019849207],"about_ca_topic_score_codex":0.0009051968,"about_ca_topic_score_gemma":0.00085453765,"teacher_disagreement_score":0.035491195,"about_ca_system_score_codex":0.0010010727,"about_ca_system_score_gemma":0.00031435175,"threshold_uncertainty_score":0.9904248},"labels":[],"label_agreement":null},{"id":"W4414006768","doi":"10.2196/82724","title":"Retraction: “Designing Positive Psychology Interventions for Social Media: Cross-Sectional Web-Based Experiment With Young Adults With Cancer”","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"JMIR Publications","funders":"","keywords":"Psychological intervention; Social media; Psychology; Cross-sectional study; Applied psychology; Clinical psychology; World Wide Web; Medicine; Computer science; Psychiatry","score_opus":0.040902345928131356,"score_gpt":0.4457812537785985,"score_spread":0.40487890785046715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414006768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94667625,0.0010993712,0.011762487,0.018594423,0.006050806,0.0034659002,0.00043117977,0.0007219735,0.011197588],"genre_scores_gemma":[0.9946075,0.00003404084,0.0006463294,0.0005515199,0.00049282645,0.0024029505,0.000017248263,0.000019696034,0.0012278551],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855095,0.00008114995,0.00022638596,0.00039643908,0.0003301062,0.00041495007],"domain_scores_gemma":[0.9991662,0.00008263113,0.00020358806,0.000121233854,0.00036202968,0.000064298976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023176592,0.00016275882,0.00020721807,0.00016924411,0.001115443,0.000093629125,0.0002322845,0.0003277367,0.00035479714],"category_scores_gemma":[0.00004787569,0.0001472761,0.00012304467,0.0004505781,0.0006799281,0.00019726604,0.000018513469,0.00033698205,0.0000029961539],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00765706,0.0009347853,0.9251537,0.0002596781,0.0005967157,0.000017120508,0.009034856,0.00009291655,0.0015290463,0.0031959272,0.03611578,0.015412422],"study_design_scores_gemma":[0.007454936,0.00036817355,0.9773497,0.0012653061,0.000079534715,0.000002735355,0.0039222594,0.000044486264,0.002939624,0.0001992749,0.005975963,0.00039800344],"about_ca_topic_score_codex":0.0011194858,"about_ca_topic_score_gemma":0.019538581,"teacher_disagreement_score":0.05219601,"about_ca_system_score_codex":0.0009262835,"about_ca_system_score_gemma":0.00078932673,"threshold_uncertainty_score":0.9983523},"labels":[],"label_agreement":null},{"id":"W4414050730","doi":"10.2196/73843","title":"The Burden of Cancer and Precancerous Conditions Among Transgender Individuals in a Large Health Care Network: Retrospective Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; University of Florida Health; National Institute on Aging; National Institutes of Health","keywords":"Incidence (geometry); Retrospective cohort study; Cancer; Cancer incidence; Health care; Transgender; Cohort study; MEDLINE","score_opus":0.018154810725394252,"score_gpt":0.42597088973784186,"score_spread":0.4078160790124476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414050730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.958945,0.024763212,0.000004718648,0.0032391194,0.0011123053,0.003270138,0.00069455523,0.000033048007,0.007937941],"genre_scores_gemma":[0.98836243,0.002741504,0.0000023918979,0.0004719319,0.00050092215,0.0038533024,0.00001394458,0.000021315014,0.004032274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979365,0.0003154662,0.00047996247,0.00042425428,0.00022397301,0.00061988423],"domain_scores_gemma":[0.9990935,0.00009949098,0.00021778003,0.00036976876,0.00012947251,0.0000899854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004789869,0.00017851424,0.00044735151,0.00013166129,0.0004432492,0.00003411653,0.000209755,0.00012470673,0.00033016125],"category_scores_gemma":[0.000009039532,0.00015053771,0.00005739136,0.0006028763,0.00017593842,0.000070654714,0.00005070455,0.0003768149,0.0000024972712],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005362666,0.000108729524,0.9293346,0.00019817396,0.0002834506,0.000001557455,0.031935938,0.0000816145,3.1977845e-7,0.0014644737,0.034828264,0.0017092742],"study_design_scores_gemma":[0.0016288637,0.00013181442,0.9863003,0.00007610045,0.00008492993,3.2530895e-7,0.0057656965,0.0000064027267,3.7605838e-7,0.0004007307,0.0054843524,0.000120122306],"about_ca_topic_score_codex":0.21329093,"about_ca_topic_score_gemma":0.37074965,"teacher_disagreement_score":0.15745874,"about_ca_system_score_codex":0.0006513711,"about_ca_system_score_gemma":0.0006389026,"threshold_uncertainty_score":0.79194784},"labels":[],"label_agreement":null},{"id":"W4414091494","doi":"10.2196/79610","title":"Evaluation of a Translatable Web-Based Intervention for Increasing Physical Activity Among Cancer Survivors: Pilot Randomized Trial","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Physical activity; Cancer; Randomized controlled trial; Intervention (counseling); Cancer treatment; Clinical trial","score_opus":0.0502372078364507,"score_gpt":0.40165249903041034,"score_spread":0.35141529119395964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414091494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98785436,0.0010075992,0.002229635,0.0005013788,0.0011703672,0.006173211,0.00012598604,0.000053295873,0.00088419387],"genre_scores_gemma":[0.98818165,0.000035180732,0.000022957802,0.000070741,0.00041457498,0.010880684,0.00003404053,0.000024018835,0.00033612957],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9978097,0.0006686616,0.00033020935,0.0003322071,0.0006352942,0.00022390787],"domain_scores_gemma":[0.99831605,0.00047030207,0.0002263455,0.00024963095,0.00067680865,0.00006089159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027172717,0.00018883498,0.00082646107,0.00017237876,0.00006121122,0.00002042487,0.000078872996,0.00008861492,0.00023448688],"category_scores_gemma":[0.00027070372,0.00016351188,0.00057431776,0.00038271325,0.00012901775,0.00013505098,0.000013107243,0.00015689827,4.4258275e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9011612,0.0009332892,0.0016799262,0.00089702074,0.00044509897,2.22694e-7,0.00043076,0.00023759821,0.0074701537,0.000040329847,0.00028501602,0.0864194],"study_design_scores_gemma":[0.9019824,0.00042966602,0.0043155765,0.001483771,0.0026642634,1.2968395e-7,0.000089284076,0.06865799,0.019229459,0.00024218649,0.00072859897,0.00017666619],"about_ca_topic_score_codex":0.039858762,"about_ca_topic_score_gemma":0.04846703,"teacher_disagreement_score":0.086242735,"about_ca_system_score_codex":0.00048685187,"about_ca_system_score_gemma":0.0011382451,"threshold_uncertainty_score":0.968896},"labels":[],"label_agreement":null},{"id":"W4414171361","doi":"10.2196/79031","title":"When Limited Clinical Time With Patients Meets Unlimited Online Information","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Complementary and Alternative Medicine Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Documentation; Set (abstract data type); Foundation (evidence); Health care; Primary care; MEDLINE","score_opus":0.03012696761418613,"score_gpt":0.38821248953729326,"score_spread":0.3580855219231071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414171361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845811,0.00012749073,0.00016029211,0.0075940965,0.0003177965,0.0007871091,0.00011027621,0.0000646007,0.0062572374],"genre_scores_gemma":[0.98618823,0.00017413775,0.0006606487,0.008024312,0.00039980758,0.00014646529,0.0007846652,0.0000100568195,0.0036116524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907225,0.000028100985,0.00036719863,0.00014532646,0.00022972458,0.00015737092],"domain_scores_gemma":[0.9992998,0.00008527229,0.00010613725,0.00016187452,0.000281557,0.00006532753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000073535535,0.00012826655,0.00028797146,0.00013254417,0.00006165754,0.000007657278,0.0000642007,0.000017927885,0.0006137225],"category_scores_gemma":[0.000059504546,0.000085688516,0.000051628074,0.00021983123,0.00008586001,0.00013970502,0.000063085965,0.00016489098,0.000025146595],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092723506,0.00040501647,0.83285797,0.000079740195,0.00042148845,0.0000041200133,0.00039564428,0.000010019211,0.0000071715644,0.000052831354,0.063128434,0.10171033],"study_design_scores_gemma":[0.004658026,0.000695932,0.6063185,0.00038104848,0.00010528011,4.7569267e-7,0.000115989926,0.00047057122,0.000022965518,0.000018215174,0.38713878,0.000074247255],"about_ca_topic_score_codex":0.000084189436,"about_ca_topic_score_gemma":0.00006201406,"teacher_disagreement_score":0.32401037,"about_ca_system_score_codex":0.00007996328,"about_ca_system_score_gemma":0.00008787428,"threshold_uncertainty_score":0.67198306},"labels":[],"label_agreement":null},{"id":"W4414240702","doi":"10.2196/76393","title":"Integrated, Cross-Entity Information on Preventive Measures for Bowel, Breast, and Prostate Cancer: Evaluation Study of the Web Application “Prevent-Take-Up”","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Web application; The Internet; Web site; Information system; MEDLINE","score_opus":0.020409201701820222,"score_gpt":0.3924545503544166,"score_spread":0.3720453486525964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414240702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833773,0.0005703633,0.0023144032,0.0010582535,0.0005240969,0.011690514,0.00013070647,0.00003266689,0.00030173262],"genre_scores_gemma":[0.9909306,0.00019274252,0.0000122816045,0.00018971085,0.0000563399,0.007692241,0.000051995605,0.000008204651,0.00086583756],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983536,0.0004005685,0.00041059233,0.00021366782,0.0004871232,0.00013443266],"domain_scores_gemma":[0.9984992,0.000018853501,0.00025252256,0.00029397465,0.00089102914,0.000044380417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018589506,0.00012299311,0.00022337571,0.000109081804,0.00016846394,0.00003159551,0.00007072414,0.00008306234,0.000031455227],"category_scores_gemma":[0.000074258496,0.00008935363,0.00012864667,0.00033267177,0.000045527595,0.0002335152,0.000028104676,0.00015380801,0.0000019140948],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056877424,0.0006059891,0.07239746,0.001093355,0.00043064123,5.875401e-8,0.0018713981,0.0003790665,0.00077981903,0.00012671005,0.0019993861,0.91974735],"study_design_scores_gemma":[0.0077830753,0.00030328406,0.9691768,0.00087456877,0.00055578037,0.0000026445098,0.0010177606,0.0046376283,0.0015464833,0.0002981501,0.013683199,0.00012062423],"about_ca_topic_score_codex":0.0004362919,"about_ca_topic_score_gemma":0.0006919377,"teacher_disagreement_score":0.9196267,"about_ca_system_score_codex":0.00036701924,"about_ca_system_score_gemma":0.00064526114,"threshold_uncertainty_score":0.36437353},"labels":[],"label_agreement":null},{"id":"W4414320599","doi":"10.2196/68037","title":"Exposure to Radiation and Thyroid Cancer Risk Among Young Female Nurses: Longitudinal Analysis From the Korea Nurses’ Health Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Thyroid cancer; Longitudinal study; Thyroid; Cohort study; Cancer; Incidence (geometry); Epidemiology","score_opus":0.013016145435184815,"score_gpt":0.34794103729853854,"score_spread":0.3349248918633537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414320599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9584809,0.03185431,0.0000496032,0.005660166,0.00067918265,0.0026080357,0.00042994012,0.00005791916,0.00017996714],"genre_scores_gemma":[0.9877806,0.0054908013,0.000029168354,0.0012271489,0.00040081012,0.0038904168,0.000053165255,0.00002340912,0.0011045241],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980729,0.00014507175,0.00037683084,0.00068335707,0.00037012764,0.0003517166],"domain_scores_gemma":[0.99870056,0.00012411704,0.00021643232,0.0006004627,0.0001021043,0.00025630905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018781358,0.00027944424,0.0006309528,0.00019695505,0.00034034942,0.00008223897,0.0001328088,0.00006963843,0.00024238312],"category_scores_gemma":[0.00002860959,0.00018971272,0.00017287722,0.001162282,0.00007195498,0.00009020469,0.000051305127,0.00022186265,0.000005395804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002396934,0.0004613175,0.92984337,0.000019381541,0.0028110351,0.000010354265,0.008648583,0.0004928345,0.000007961793,0.000013163908,0.016039344,0.04141297],"study_design_scores_gemma":[0.002731275,0.00066231395,0.98558223,0.00016064107,0.0030225986,4.7628632e-7,0.0044419672,0.00007231528,0.000051241423,0.000013773674,0.0031007905,0.00016036646],"about_ca_topic_score_codex":0.1265736,"about_ca_topic_score_gemma":0.127699,"teacher_disagreement_score":0.055738878,"about_ca_system_score_codex":0.00095364364,"about_ca_system_score_gemma":0.00040408917,"threshold_uncertainty_score":0.8882182},"labels":[],"label_agreement":null},{"id":"W4414324971","doi":"10.2196/59647","title":"Relationship Between Cognitive Disorder and First-Line Targeted Therapy for Oncogene Driver–Positive Patients With Non–Small Cell Lung Cancer: Prospective Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer-related cognitive impairment studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Targeted therapy; Prospective cohort study; Quality of life (healthcare); Lung cancer; Cognition; Cohort; Intervention (counseling)","score_opus":0.01127539361579766,"score_gpt":0.31212095008121465,"score_spread":0.300845556465417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414324971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97125185,0.002795719,0.0009701491,0.00064793497,0.0001836407,0.022239089,0.0009958091,0.0000836534,0.0008321857],"genre_scores_gemma":[0.98068994,0.00048364818,0.000059762282,0.00035572425,0.00020431049,0.016126113,0.00023228004,0.00006780978,0.0017804359],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99795467,0.000062652136,0.00037972713,0.00081819214,0.00034184617,0.00044292884],"domain_scores_gemma":[0.9976014,0.0005848756,0.00024299075,0.00018859771,0.0012546647,0.00012748549],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013018245,0.0004450552,0.00071938254,0.00022547899,0.0005141272,0.000030157276,0.00007564814,0.00013832487,0.000052129846],"category_scores_gemma":[0.00007685695,0.00036137807,0.00009718631,0.0006606267,0.00020028155,0.00013056799,0.00007762794,0.00036512263,0.0000018662497],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0041444497,0.0011444286,0.9848044,0.00019852108,0.0022029828,0.000003550007,0.0029465302,0.000021110794,0.0000061013657,0.0000031453044,0.0005285967,0.0039961888],"study_design_scores_gemma":[0.029401796,0.002857081,0.96268725,0.0007888809,0.0022280628,2.1832828e-7,0.00090744393,0.00006009352,0.00043095462,0.000028377386,0.00022011643,0.0003897448],"about_ca_topic_score_codex":0.0008490264,"about_ca_topic_score_gemma":0.0019051593,"teacher_disagreement_score":0.025257347,"about_ca_system_score_codex":0.0007776311,"about_ca_system_score_gemma":0.00041014698,"threshold_uncertainty_score":0.99988383},"labels":[],"label_agreement":null},{"id":"W4414461934","doi":"10.2196/76549","title":"Evaluating Patient Experience With Genomic Medicine: A Content Analysis of National Cancer Institute–Designated Cancer Centers’ Websites","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Environmental Health Sciences; National Human Genome Research Institute","keywords":"Cancer; Content analysis; Patient experience; Genomic medicine; Genomics; Health care; MEDLINE","score_opus":0.06919620757092833,"score_gpt":0.4028994452233208,"score_spread":0.33370323765239246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414461934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896716,0.0071801282,0.00068457914,0.00065122545,0.0005132139,0.0005041862,0.00021831841,0.000013436775,0.00056331186],"genre_scores_gemma":[0.9942666,0.0007179251,0.0003435888,0.0012348167,0.00014038749,0.0023997359,0.000115434574,0.000017293081,0.00076420914],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99838096,0.000055368706,0.00041186885,0.0005100269,0.00040808754,0.0002336771],"domain_scores_gemma":[0.99854076,0.000021442982,0.00028137444,0.0002799556,0.00082085637,0.00005562391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120748315,0.00020798077,0.00031582091,0.00026897556,0.00010381889,0.000013904693,0.00023178366,0.00009568884,0.00057545997],"category_scores_gemma":[0.000049406906,0.0001711995,0.00010008468,0.0009712983,0.00030433334,0.000012562629,0.000084186744,0.000086970234,8.231262e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038116565,0.00007242324,0.10622271,0.000054793767,0.0025459782,0.0000010795217,0.0016464329,0.082908206,0.7933173,0.000050938055,0.0043164045,0.0084825745],"study_design_scores_gemma":[0.005613217,0.0008414249,0.3648905,0.0011158232,0.002346207,0.000002912476,0.0029398373,0.015982844,0.5446554,0.00004435435,0.060418747,0.0011487553],"about_ca_topic_score_codex":0.0026812358,"about_ca_topic_score_gemma":0.004456604,"teacher_disagreement_score":0.2586678,"about_ca_system_score_codex":0.00060044776,"about_ca_system_score_gemma":0.0013422719,"threshold_uncertainty_score":0.69813126},"labels":[],"label_agreement":null},{"id":"W4414537780","doi":"10.2196/64983","title":"Exploring Barriers and Facilitators to Engagement of an Online Acceptance and Commitment Therapy Intervention for Cancer Survivors With Chronic Painful Chemotherapy-Induced Peripheral Neuropathy: Qualitative Interview Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Pain Management and Opioid Use","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intervention (counseling); Context (archaeology); Qualitative research; Acceptance and commitment therapy; Perception; Cancer; Patient participation; Psychological intervention","score_opus":0.1412854705061448,"score_gpt":0.4145468056027215,"score_spread":0.2732613350965767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414537780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922006,0.0017816286,0.00056057057,0.0012713609,0.0001561457,0.003942608,0.000042042528,0.000034878267,0.0000101648475],"genre_scores_gemma":[0.9933142,0.00143161,0.00021809888,0.00095341296,0.000058145903,0.0037223208,0.000010238857,0.000025779063,0.00026618838],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985691,0.00033907013,0.00031064695,0.00039848973,0.00017440299,0.00020833657],"domain_scores_gemma":[0.9993538,0.000071629875,0.00010526198,0.00024263156,0.000112885005,0.00011377983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007431729,0.00022059162,0.00039588605,0.00014249964,0.000088734676,0.000026131724,0.000097904005,0.0000238355,0.000071339804],"category_scores_gemma":[0.000025523766,0.00017372174,0.0000578971,0.00024373658,0.000051251078,0.00017526225,0.000052923246,0.000118532545,8.499078e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027964907,0.0006909257,0.21325715,0.0014766443,0.000959654,0.0000041319977,0.1155016,0.000058218764,0.0019369415,0.00004778185,0.00013129963,0.66313916],"study_design_scores_gemma":[0.011058883,0.0075335926,0.85183793,0.001334987,0.00015452299,1.2146624e-7,0.11275369,0.0007626376,0.0019315126,0.000019914834,0.0122797815,0.00033241432],"about_ca_topic_score_codex":0.00088945986,"about_ca_topic_score_gemma":0.0070159584,"teacher_disagreement_score":0.66280675,"about_ca_system_score_codex":0.0002478485,"about_ca_system_score_gemma":0.00007742788,"threshold_uncertainty_score":0.7084167},"labels":[],"label_agreement":null},{"id":"W4414594895","doi":"10.2196/71996","title":"Experiences of Cancer-Related Cognitive Impairment Across Cancer Types: Qualitative Systematic Review","year":2025,"lang":"en","type":"review","venue":"JMIR Cancer","topic":"Cancer-related cognitive impairment studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cognitive impairment; Cancer; Cognition; Qualitative research; Disease; MEDLINE","score_opus":0.053888997388722375,"score_gpt":0.5018000760449562,"score_spread":0.44791107865623386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414594895","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016026164,0.972977,0.0000025698578,0.0003167254,0.0015615586,0.021672348,0.0022202323,0.00019973624,0.0008895674],"genre_scores_gemma":[0.00023032876,0.893033,0.000008003897,0.0007389341,0.00021112568,0.09906054,0.00013920393,0.00011929512,0.0064595668],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9925779,0.0009350419,0.0030652527,0.0012918056,0.0011438464,0.0009861358],"domain_scores_gemma":[0.9932904,0.0013126667,0.0029178832,0.0006742593,0.0015344392,0.00027032846],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0008705426,0.0013621905,0.009192136,0.00037434945,0.00024143631,0.000032650576,0.00045087733,0.0005793737,0.0018282682],"category_scores_gemma":[0.0006006231,0.0009834612,0.0016906362,0.0024403378,0.0006012001,0.00015449354,0.00025193923,0.00099419,0.0000679203],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009434502,0.00031964426,0.00001069339,0.88664883,0.009144931,0.000024894734,0.057429254,3.0358544e-7,2.0041209e-7,0.0000065326726,0.005019233,0.04130114],"study_design_scores_gemma":[0.0014244171,0.00037396178,0.000009826875,0.9079203,0.028977271,0.000016810118,0.028103337,0.0000013890399,0.000014894528,0.0000050768595,0.032338314,0.00081438385],"about_ca_topic_score_codex":0.0009386083,"about_ca_topic_score_gemma":0.00029788705,"teacher_disagreement_score":0.079944,"about_ca_system_score_codex":0.002782235,"about_ca_system_score_gemma":0.0042108092,"threshold_uncertainty_score":0.9999129},"labels":[],"label_agreement":null},{"id":"W4414759776","doi":"10.2196/72005","title":"Cancer Diagnosis Categorization in Electronic Health Records Using Large Language Models and BioBERT: Model Performance Evaluation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Documentation; Categorization; Health records; Cancer; Electronic health record; MEDLINE; Data collection; Health informatics","score_opus":0.0396032572425928,"score_gpt":0.41562208202466405,"score_spread":0.37601882478207127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414759776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9358153,0.0068082744,0.053947754,0.0016421311,0.0002511789,0.0013903184,0.0000085248985,0.000075042124,0.00006150454],"genre_scores_gemma":[0.9946528,0.0015470855,0.000660546,0.000714681,0.000042985208,0.0022705733,0.0000057131306,0.0000135466,0.000092091104],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813586,0.0002606533,0.0003060904,0.0005053606,0.0003241912,0.0004678437],"domain_scores_gemma":[0.9993021,0.00003177306,0.00014352001,0.00034271026,0.0001245286,0.00005538112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009356322,0.00015300066,0.00021643011,0.00027311622,0.00019733068,0.00006758268,0.00026835312,0.00006214569,0.000018351453],"category_scores_gemma":[0.000019465942,0.00015435695,0.000018776245,0.0008842035,0.0000106881735,0.0005328018,0.00014179536,0.00030255772,5.56172e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012114984,0.00010668298,0.4234401,0.00012775774,0.00001104601,4.4982343e-7,0.008823181,0.41336948,0.0000090202875,0.0013042105,0.00012775458,0.1526682],"study_design_scores_gemma":[0.000638572,0.00007253756,0.056804426,0.000138209,0.0000074592376,3.162859e-7,0.00013694476,0.9415272,0.000017826931,0.0004591425,0.00006926699,0.00012812698],"about_ca_topic_score_codex":0.015085534,"about_ca_topic_score_gemma":0.021897973,"teacher_disagreement_score":0.5281577,"about_ca_system_score_codex":0.0014115637,"about_ca_system_score_gemma":0.0015517863,"threshold_uncertainty_score":0.99594986},"labels":[],"label_agreement":null},{"id":"W4414836212","doi":"10.2196/77390","title":"Evaluation of Cancer Survivors’ Experience of Using AI-Based Conversational Tools: Qualitative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences","keywords":"Distrust; Chatbot; Qualitative research; Confidentiality; Cancer; MEDLINE","score_opus":0.4956675310942679,"score_gpt":0.6365631012124251,"score_spread":0.14089557011815718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414836212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961193,0.0006313563,0.00052639603,0.00086198363,0.0005655716,0.0011128383,0.000021243344,0.0000078003395,0.00015347487],"genre_scores_gemma":[0.9988159,0.000013987491,0.00008087444,0.00031312497,0.0000745334,0.0006201443,0.000008314082,0.000005433656,0.00006767198],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99842215,0.0002536087,0.00043037397,0.0001742443,0.0006147328,0.000104871026],"domain_scores_gemma":[0.9973228,0.00021441921,0.00018644183,0.00016078458,0.0020828587,0.000032675613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097301375,0.000074984,0.00020449601,0.00013139597,0.000046910412,0.0000050181798,0.00005112564,0.00005051047,0.00075085746],"category_scores_gemma":[0.00029956392,0.00007009343,0.000042950018,0.00042244795,0.00010484936,0.00009833318,0.000008905386,0.00007599353,0.0000010445409],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048442345,0.0008233586,0.5864125,0.00037680852,0.00017379035,3.466707e-7,0.3136539,0.004469751,0.0070274095,0.00025803037,0.00023496745,0.08608472],"study_design_scores_gemma":[0.0008702491,0.00040752144,0.20352048,0.0012341642,0.0007079568,2.1840967e-7,0.536161,0.0658223,0.18959847,0.0010709679,0.00037415736,0.00023253051],"about_ca_topic_score_codex":0.039395116,"about_ca_topic_score_gemma":0.006121117,"teacher_disagreement_score":0.382892,"about_ca_system_score_codex":0.00047554314,"about_ca_system_score_gemma":0.0028978519,"threshold_uncertainty_score":0.9670016},"labels":[],"label_agreement":null},{"id":"W4415156139","doi":"10.2196/69787","title":"A Social Media Campaign and Web-Based Survey About Prostate Cancer Genetics: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Social media; Dissemination; Prostate cancer; Test (biology); Breast cancer; Information Dissemination","score_opus":0.024789728595529976,"score_gpt":0.40468714993446453,"score_spread":0.37989742133893456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415156139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98721445,0.0092820395,0.0005990191,0.00038992357,0.000944839,0.00096967164,0.00036256775,0.000030554827,0.00020696671],"genre_scores_gemma":[0.99295205,0.00077093864,0.0014392067,0.0006419241,0.0003638647,0.0028191358,0.00009075771,0.000044838147,0.0008773131],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980136,0.0005442094,0.0003000719,0.0006289385,0.00017596013,0.00033720687],"domain_scores_gemma":[0.9990854,0.00009277673,0.00012088406,0.00034206483,0.00028377096,0.00007505905],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006402869,0.00025445607,0.0002793475,0.000099528734,0.00018749159,0.0000597441,0.0002252078,0.00018658544,0.00007809254],"category_scores_gemma":[0.000099440076,0.00025129374,0.000069052694,0.00035682647,0.00018356461,0.00000397331,0.0001508089,0.0001483618,0.0000017152066],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008396713,0.0004182125,0.51406825,0.00019107641,0.0008317186,0.000005151678,0.0036954246,0.00083647715,0.106878296,0.000022621969,0.07536607,0.29684702],"study_design_scores_gemma":[0.0030711156,0.00013051095,0.8401923,0.000039771807,0.000131005,5.4208283e-7,0.0008021832,0.00038607474,0.053048383,0.00006830022,0.101653084,0.00047673623],"about_ca_topic_score_codex":0.00043865023,"about_ca_topic_score_gemma":0.014456705,"teacher_disagreement_score":0.32612404,"about_ca_system_score_codex":0.00017615524,"about_ca_system_score_gemma":0.0013875586,"threshold_uncertainty_score":0.9999939},"labels":[],"label_agreement":null},{"id":"W4415201822","doi":"10.2196/68411","title":"Exploring Feature Preferences for a Treatment-Accompanying App in Patients Undergoing Radiation Therapy: Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"mHealth; Feature (linguistics); Mobile apps; Radiation therapy; Mobile device","score_opus":0.2004092975313252,"score_gpt":0.496563915622585,"score_spread":0.2961546180912598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415201822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849777,0.00051855587,0.000044530938,0.00037071112,0.0011091665,0.012310946,0.000056570865,0.00009305698,0.00051874906],"genre_scores_gemma":[0.8310718,0.00091057416,0.000055352146,0.00043099705,0.0002591241,0.16625011,0.00006036365,0.0000151486565,0.0009465455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99833703,0.00015296461,0.00050461025,0.00039019168,0.0001436985,0.00047152708],"domain_scores_gemma":[0.9988701,0.0004761169,0.00020619493,0.00020944646,0.00014325211,0.00009489089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026564594,0.00015404313,0.00024317179,0.00020261643,0.0009298319,0.000021188667,0.00010684753,0.00012056928,0.000061009137],"category_scores_gemma":[0.00004243598,0.00013244309,0.00004671284,0.00038556303,0.000014251582,0.00021079871,0.000023268427,0.0002099755,0.000010390343],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034282033,0.00038921984,0.89484996,0.00019536109,0.000020256251,3.9915733e-8,0.0013754528,0.000049395545,0.0000026074115,0.000161489,0.00058108097,0.102032326],"study_design_scores_gemma":[0.007317311,0.00018776265,0.9477281,0.00010619377,0.000005128203,9.641853e-9,0.0006376507,0.00005211777,0.0000045850106,0.00018008272,0.043695413,0.0000856748],"about_ca_topic_score_codex":0.00098391,"about_ca_topic_score_gemma":0.003926805,"teacher_disagreement_score":0.15393916,"about_ca_system_score_codex":0.0011147222,"about_ca_system_score_gemma":0.001136412,"threshold_uncertainty_score":0.7151609},"labels":[],"label_agreement":null},{"id":"W4415335434","doi":"10.2196/75586","title":"Assessment of Predictive Factors That Shorten Duration of Treatment in Patients With Multiple Myeloma Using AI: Real-World Longitudinal Study Using Data From Medical Data Vision Claims Database","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multiple myeloma; Longitudinal study; Duration (music); Longitudinal data; Disease; Patient data; Data collection","score_opus":0.14684922726251248,"score_gpt":0.4706662021991212,"score_spread":0.3238169749366087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415335434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901935,0.00006022172,0.0008478592,0.000037843096,0.00008842356,0.0028379702,0.0058808015,0.000015445721,0.00003795777],"genre_scores_gemma":[0.98883164,0.00005825893,0.0013459132,0.00000938845,0.000038753085,0.0000762568,0.009598588,0.000023140157,0.000018082548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969418,0.00017367853,0.0005642189,0.0008354934,0.0011903151,0.00029446074],"domain_scores_gemma":[0.99743015,0.00022169115,0.00024622155,0.0017405443,0.0001829946,0.0001783777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024260566,0.0002705718,0.0006518436,0.00036175945,0.000076978955,0.000019150559,0.00040802665,0.00007786719,0.00017908553],"category_scores_gemma":[0.000072756295,0.00018246825,0.000034908193,0.00050440605,0.0001207845,0.00058838207,0.0006645338,0.00020868689,2.5876815e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022512253,0.0042182286,0.98827195,0.00008439593,0.0010172334,0.000057952482,0.00020120603,0.00006669849,0.0003449308,0.000001133509,0.000047975573,0.0034370662],"study_design_scores_gemma":[0.010196606,0.00094265473,0.8573938,0.00093542296,0.0004112346,2.7928976e-7,0.00038247055,0.12927017,0.0003516054,0.0000012619007,0.000012992546,0.00010149048],"about_ca_topic_score_codex":0.06299145,"about_ca_topic_score_gemma":0.05495948,"teacher_disagreement_score":0.13087814,"about_ca_system_score_codex":0.0011723175,"about_ca_system_score_gemma":0.0015018045,"threshold_uncertainty_score":0.96228504},"labels":[],"label_agreement":null},{"id":"W4415439554","doi":"10.2196/73691","title":"DermaDashboard: Bridging the Gap Between FHIR Standards and Clinical Usability","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interoperability; Usability; Bridging (networking); Visualization; Data visualization; Health care; Analytics; Data warehouse; Dashboard","score_opus":0.07635556385339619,"score_gpt":0.5322962500176905,"score_spread":0.45594068616429434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415439554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.933328,0.0011808374,0.00033372937,0.015215878,0.0023336648,0.00074706454,0.00060664694,0.00007960751,0.046174604],"genre_scores_gemma":[0.9919806,0.000011098184,0.000019858042,0.0015282523,0.00026953235,0.00018463818,0.000004661999,0.000009910791,0.005991432],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99863124,0.00017668626,0.00045958042,0.00030742105,0.00016179896,0.00026325366],"domain_scores_gemma":[0.9991208,0.0002982243,0.00008131343,0.0003498054,0.00006389688,0.00008601423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006437303,0.00010107067,0.00019772018,0.000035526515,0.0001425103,0.000048760157,0.00016987033,0.00008324334,0.0004917786],"category_scores_gemma":[0.000062282576,0.00007619174,0.00011488906,0.00016047173,0.00027949226,0.000075439595,0.000118352604,0.0002684277,0.00003458426],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079515856,0.00015301457,0.404928,0.000092608934,0.00013389844,0.000003159132,0.00020920299,2.5415525e-7,0.0000010109914,0.0044078184,0.10397078,0.4860207],"study_design_scores_gemma":[0.0005588529,0.00009207844,0.81076455,0.00014328572,0.00003514144,0.0000018564217,0.0001402788,0.000007241041,0.000029403624,0.002592373,0.18555409,0.0000808366],"about_ca_topic_score_codex":0.0004031129,"about_ca_topic_score_gemma":0.0004269159,"teacher_disagreement_score":0.4859399,"about_ca_system_score_codex":0.00021908077,"about_ca_system_score_gemma":0.00010908647,"threshold_uncertainty_score":0.5384631},"labels":[],"label_agreement":null},{"id":"W4415484460","doi":"10.2196/68027","title":"Predicting Postoperative Recurrence Using a Support Vector Machine for Patients With Esophageal Squamous Cell Carcinoma: Machine Learning Modeling Development and Validation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Discriminative model; Support vector machine; Esophageal squamous cell carcinoma; Relevance vector machine; Risk assessment","score_opus":0.026756678005986648,"score_gpt":0.3316313571248495,"score_spread":0.30487467911886285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415484460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99356234,0.0020094346,0.0009410852,0.00007034737,0.000070677954,0.0031795648,0.000058870995,0.00003916411,0.00006853081],"genre_scores_gemma":[0.9970192,0.000007969621,0.001382844,0.00005261314,0.00004072713,0.0009262516,0.0001702889,0.000028263767,0.0003718466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854904,0.000056947865,0.00027123076,0.000450505,0.00034159428,0.00033069003],"domain_scores_gemma":[0.9993001,0.000055614466,0.00008617329,0.00012801295,0.0002960843,0.0001339858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016533237,0.0002251417,0.00029711053,0.00014718459,0.00035717737,0.00004320061,0.000055004395,0.000043524953,0.000027990716],"category_scores_gemma":[0.00003898421,0.00017233542,0.00003153027,0.00021201743,0.000025339346,0.00012560328,0.000066182016,0.00024521543,7.23597e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015077061,0.00064537016,0.98862004,0.00027345575,0.00007926151,0.000029598583,0.0027091661,0.0014214482,0.000036290377,0.0000033219044,0.000007223247,0.0046671187],"study_design_scores_gemma":[0.03519698,0.010755083,0.671565,0.0004311578,0.0005984581,0.00000940508,0.00097090506,0.2726891,0.007099885,0.0000105019335,0.000117089236,0.0005564612],"about_ca_topic_score_codex":0.0007614629,"about_ca_topic_score_gemma":0.0002580197,"teacher_disagreement_score":0.31705508,"about_ca_system_score_codex":0.0005684427,"about_ca_system_score_gemma":0.0006315622,"threshold_uncertainty_score":0.70276344},"labels":[],"label_agreement":null},{"id":"W4415709999","doi":"10.2196/64184","title":"An App-Based Remote Patient Monitoring System With Wrist and In-Ear Wearables in Gastrointestinal Oncology: Prospective Feasibility Pilot Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Eberhard Karls Universität Tübingen","keywords":"Wearable computer; Wrist; Wearable technology; Remote patient monitoring; Smartphone application; Cancer treatment; Smartwatch","score_opus":0.05321155440052852,"score_gpt":0.4600245010316229,"score_spread":0.40681294663109435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415709999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844193,0.00018724303,0.00023612793,0.0005198443,0.00014352967,0.013329925,0.000021163098,0.00010822244,0.0010346504],"genre_scores_gemma":[0.9774645,0.000015295025,0.0010639856,0.00020071222,0.000083873965,0.021096747,0.0000030182823,0.00001717716,0.000054697735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974506,0.0005951226,0.00063920434,0.0005754925,0.00016943744,0.0005701308],"domain_scores_gemma":[0.99869794,0.00024993595,0.00022860222,0.00040512503,0.00018656623,0.000231812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007419941,0.00017162268,0.00038764573,0.00019098936,0.00043940946,0.000008548089,0.00010728144,0.000063533415,0.0000111211075],"category_scores_gemma":[0.000042694523,0.00014631529,0.000009980141,0.000547791,0.00006631228,0.00006901213,0.000040818504,0.0007606263,0.0000048319866],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020429413,0.00094950834,0.9895509,0.0010289319,0.0000035448593,0.000009993561,0.0008495936,0.00017369582,0.0000505949,0.0000992108,0.000051759096,0.0051893657],"study_design_scores_gemma":[0.003464541,0.0027115422,0.98009706,0.0023982448,0.000008024053,0.0000012171042,0.009758181,0.0010638527,0.000007399372,0.000027884871,0.00036407466,0.000097965836],"about_ca_topic_score_codex":0.013016623,"about_ca_topic_score_gemma":0.040839016,"teacher_disagreement_score":0.027822392,"about_ca_system_score_codex":0.0028478855,"about_ca_system_score_gemma":0.0024891812,"threshold_uncertainty_score":0.9935558},"labels":[],"label_agreement":null},{"id":"W4415714837","doi":"10.2196/79956","title":"Patterns of Telehealth Use Across the Cancer Care Continuum and Assessment of Patient and Geographic Factors Associated With Key Healthcare Outcomes: Retrospective Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Telehealth; Health care; Retrospective cohort study; Telemedicine; Healthcare delivery; Key (lock); Health care delivery","score_opus":0.03386347527826782,"score_gpt":0.42191870500919093,"score_spread":0.3880552297309231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415714837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99314356,0.0008541923,0.000007746762,0.0022837352,0.00013322571,0.0028677864,0.00068182824,0.0000203332,0.0000075691105],"genre_scores_gemma":[0.99809605,0.00041920156,0.000013443108,0.0008751052,0.000017612594,0.0004888401,0.00004354459,0.000016138118,0.000030039679],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983507,0.00011855907,0.0005105994,0.00031515415,0.00040755144,0.00029748437],"domain_scores_gemma":[0.9985376,0.00011978979,0.0004677346,0.00024854258,0.00052310794,0.0001032214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018542742,0.00018873946,0.0006139537,0.00011053378,0.00015082951,0.000013275393,0.000053787695,0.000060313927,0.000016185655],"category_scores_gemma":[0.00004366216,0.00011046006,0.000039731796,0.00033596976,0.000093982555,0.000067300374,0.000055143646,0.00027224346,8.117918e-9],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009274787,0.00016479164,0.9720113,0.000549763,0.00035106635,0.0000020346918,0.021216601,6.0832826e-7,0.000013212415,0.000017931037,0.000067036606,0.0055128564],"study_design_scores_gemma":[0.0035461173,0.0018000512,0.9439424,0.0005546221,0.00017727447,2.3631422e-7,0.04963044,0.0000034945544,0.000060241564,0.000003683904,0.00020190817,0.00007950158],"about_ca_topic_score_codex":0.0348623,"about_ca_topic_score_gemma":0.10308905,"teacher_disagreement_score":0.06822675,"about_ca_system_score_codex":0.00032431993,"about_ca_system_score_gemma":0.00040554747,"threshold_uncertainty_score":0.97156465},"labels":[],"label_agreement":null},{"id":"W4415726822","doi":"10.2196/86071","title":"Correction: Narrative Expertise in Oncology: An Integrated Training Model to Advance the Field","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Empathy and Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Narrative; Training (meteorology); Process (computing); Field training","score_opus":0.04158730234175186,"score_gpt":0.4435683944936035,"score_spread":0.4019810921518517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415726822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88855815,0.00066909706,0.006469515,0.08732108,0.0028257356,0.00090017513,0.0000020954856,0.000059031063,0.013195098],"genre_scores_gemma":[0.9557038,0.000049654576,0.00033207232,0.0323608,0.00015639114,0.001037791,0.0000047126696,0.0000048926436,0.010349897],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9994767,0.00003626776,0.00013214485,0.00015465956,0.000075354415,0.00012489529],"domain_scores_gemma":[0.99961096,0.00009233944,0.000022843584,0.00012877966,0.00006544565,0.000079632504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108812616,0.00006568313,0.0001356098,0.000060710256,0.000053370688,0.00000467921,0.00005545194,0.00007958705,0.00016400822],"category_scores_gemma":[0.00038348348,0.000043598033,0.000021016185,0.00033272768,0.000030788964,0.00005920153,0.000008872776,0.0002931484,0.000002256923],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035920055,0.00012399071,0.00021451872,0.000009330773,0.000008602946,0.000003642632,0.37419423,0.00080719334,0.00040447473,0.00006011567,0.06913251,0.5546822],"study_design_scores_gemma":[0.0022667658,0.0010826909,0.008819505,0.0016085425,0.000039267583,0.000009639587,0.59653777,0.12636103,0.004164719,0.00037760776,0.25850603,0.0002264092],"about_ca_topic_score_codex":0.00026289973,"about_ca_topic_score_gemma":0.0018890795,"teacher_disagreement_score":0.55445576,"about_ca_system_score_codex":0.00031903893,"about_ca_system_score_gemma":0.0009092676,"threshold_uncertainty_score":0.1795775},"labels":[],"label_agreement":null},{"id":"W4415749782","doi":"10.2196/78797","title":"Using Latent Dirichlet Allocation Topic Modeling to Uncover Latent Research Topics and Trends in Renal Cell Carcinoma: Bibliometric Review","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Ferroptosis and cancer prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Latent Dirichlet allocation; Renal cell carcinoma; Topic model; Medical diagnosis; Disease; Nephrectomy; Applications of artificial intelligence","score_opus":0.17878803843533697,"score_gpt":0.4482552888231663,"score_spread":0.2694672503878293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415749782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9265808,0.061976757,0.00018420824,0.009185367,0.00015712841,0.00063263805,0.0000044639783,0.000014030203,0.0012646321],"genre_scores_gemma":[0.9813306,0.013278679,0.00029150903,0.0016940546,0.000118138916,0.0003356627,0.0000064058067,0.000012632057,0.0029323453],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986172,0.00006136643,0.00030253836,0.00035096877,0.00036622284,0.00030171926],"domain_scores_gemma":[0.9993815,0.00001595543,0.000031884767,0.00023762362,0.0002294419,0.00010360209],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00040643726,0.00012006783,0.00029469337,0.007059317,0.00006005004,0.000031417505,0.00008055266,0.00007724949,0.00014571761],"category_scores_gemma":[0.000021370985,0.00010194356,0.00005490937,0.021870494,0.000018557783,0.00006872961,0.00008011936,0.00024530044,0.0000028037264],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021797628,0.0003780088,0.37718156,0.004988172,0.000058398393,0.00002590387,0.00046743086,0.0033103854,0.0050809975,0.00014019855,0.031935968,0.576215],"study_design_scores_gemma":[0.004128721,0.00061416434,0.84278154,0.011025891,0.0003602291,0.000007098129,0.0001011758,0.059625372,0.006929836,0.000090348134,0.073697865,0.00063775847],"about_ca_topic_score_codex":0.001631503,"about_ca_topic_score_gemma":0.00018362222,"teacher_disagreement_score":0.57557726,"about_ca_system_score_codex":0.00052795786,"about_ca_system_score_gemma":0.00015633834,"threshold_uncertainty_score":0.99892014},"labels":[],"label_agreement":null},{"id":"W4415825247","doi":"10.2196/70603","title":"Identifying Terminologies Used Prior to the Onset of Interstitial Lung Disease in Patients With Lung Cancer: Descriptive Analysis of Electronic Medical Record Data","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interstitial lung disease; Medical record; Lung cancer; Lung; Disease; Electronic medical record; Descriptive statistics; Cancer","score_opus":0.018343083046278793,"score_gpt":0.34709373757084505,"score_spread":0.32875065452456625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415825247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939602,0.0018911919,0.00046101693,0.0013964839,0.00024398498,0.0009302344,0.0010661918,0.000016838025,0.00003383506],"genre_scores_gemma":[0.998819,0.00024376568,0.000024835506,0.00028945683,0.000050388564,0.00027103064,0.00017232406,0.000012278408,0.00011690803],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983266,0.00007584447,0.0004180638,0.00040199226,0.00046777463,0.000309755],"domain_scores_gemma":[0.9988598,0.000065234366,0.00015743452,0.00063416857,0.00015969,0.00012364848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015785433,0.00016258677,0.00050776295,0.0004042665,0.000046889796,0.000013574006,0.00048575306,0.00006544261,0.00025118893],"category_scores_gemma":[0.00013356053,0.00010934627,0.00013194059,0.0009983745,0.00015023474,0.00013107432,0.00029801726,0.00022960642,3.8783378e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014678457,0.0002932938,0.97246623,0.000511531,0.0015857315,0.00002373612,0.00071047386,0.00009971388,0.000029344468,0.000046886656,0.0025960281,0.0069585834],"study_design_scores_gemma":[0.0014962876,0.0004696025,0.97510064,0.0033154187,0.003576333,2.0870988e-7,0.00035090165,0.01504067,0.000043357846,0.000007505049,0.00045335892,0.00014570226],"about_ca_topic_score_codex":0.003521929,"about_ca_topic_score_gemma":0.006752115,"teacher_disagreement_score":0.014940956,"about_ca_system_score_codex":0.00052674604,"about_ca_system_score_gemma":0.0012408963,"threshold_uncertainty_score":0.53241265},"labels":[],"label_agreement":null},{"id":"W4415958684","doi":"10.2196/76719","title":"Feasibility and Acceptability of a Mobile App to Improve Quality of Life of Long-Term Breast Cancer Survivors: Single-Arm Pre-Post Intervention Pilot Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intervention (counseling); Usability; Breast cancer; Quality of life (healthcare); mHealth; Mobile apps; Quality (philosophy); Smartphone app","score_opus":0.03982728536530277,"score_gpt":0.3863871881996359,"score_spread":0.34655990283433313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415958684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992464,0.001738007,0.000089215515,0.00018494764,0.00055127684,0.003705452,0.0010790708,0.000034771558,0.00015326624],"genre_scores_gemma":[0.9982919,0.0000533683,0.00001138186,0.00010477404,0.000082748404,0.0012075633,0.000013750598,0.00002009147,0.00021439877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973553,0.00026019666,0.0011029498,0.0006061957,0.00043356948,0.00024181008],"domain_scores_gemma":[0.9975393,0.00012533803,0.00046037644,0.00079377595,0.0009088189,0.0001724058],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00083611964,0.00024643532,0.0009988388,0.0001533498,0.00003221633,0.0000124373355,0.00018942561,0.00008488597,0.00095586514],"category_scores_gemma":[0.00013019926,0.00021961052,0.00021053506,0.0005541108,0.00022358334,0.00011749664,0.00022815798,0.00018553977,3.538979e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008195337,0.007210372,0.8913642,0.005563379,0.00025975946,5.5720847e-7,0.0033097402,0.000006220105,0.0135878455,0.000006213064,0.000024254043,0.07047211],"study_design_scores_gemma":[0.0030603388,0.0038834333,0.98306936,0.00047576477,0.00017986137,5.2911696e-7,0.0025575738,0.000005596649,0.006574234,0.000012976952,0.000020898493,0.00015946182],"about_ca_topic_score_codex":0.121268764,"about_ca_topic_score_gemma":0.30831146,"teacher_disagreement_score":0.1870427,"about_ca_system_score_codex":0.00043641924,"about_ca_system_score_gemma":0.00042682458,"threshold_uncertainty_score":0.9999574},"labels":[],"label_agreement":null},{"id":"W4416141826","doi":"10.2196/87403","title":"Predictors Of Telehealth Use Among Cancer Survivors: Retrospective Study (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Telehealth; Logistic regression; Odds; Retrospective cohort study; Population; Health care; Survivorship curve; Cancer; National Health Interview Survey","score_opus":0.016963041574385492,"score_gpt":0.32974692580096054,"score_spread":0.31278388422657505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416141826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914613,0.0009538364,0.000027372842,0.00038204482,0.0018586807,0.0023310797,0.000120825425,0.00012375908,0.002741143],"genre_scores_gemma":[0.99106926,0.00045539907,0.0000069533326,0.00035623368,0.00030819693,0.0015058141,0.0000066272305,0.00003420113,0.006257298],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99800706,0.00010093636,0.0004664338,0.0005764293,0.00049194874,0.00035720275],"domain_scores_gemma":[0.99845487,0.00006280301,0.00019270439,0.00068151037,0.00044918657,0.00015890227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025396168,0.00024440483,0.0006340373,0.00022868389,0.00007691839,0.000023850964,0.00016861834,0.00013345026,0.0006251522],"category_scores_gemma":[0.00007051444,0.00021698447,0.0001657816,0.0008914868,0.00014878788,0.00015466554,0.00011170565,0.00038712146,0.0000033993874],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045754676,0.00039849512,0.9869346,0.00028893317,0.00041594097,0.000010257389,0.0052755927,0.000030740197,0.00017518953,0.00008721282,0.0024858268,0.003439651],"study_design_scores_gemma":[0.0013867073,0.0003102392,0.9853667,0.000527516,0.00018898002,5.576665e-7,0.0026338066,0.000025354326,0.0009290192,0.000029763436,0.008439101,0.000162233],"about_ca_topic_score_codex":0.1633678,"about_ca_topic_score_gemma":0.29903227,"teacher_disagreement_score":0.13566446,"about_ca_system_score_codex":0.0008777174,"about_ca_system_score_gemma":0.0006932939,"threshold_uncertainty_score":0.884837},"labels":[],"label_agreement":null},{"id":"W4416222274","doi":"10.2196/67911","title":"Correlates and Detection of Digital Health Literacy in Patients With Colorectal Carcinoma or Non-Hodgkin Lymphoma: Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Colorectal cancer; Psychological intervention; Health literacy; Digital health; Clinical trial; Colorectal cancer screening; MEDLINE","score_opus":0.018821340594292,"score_gpt":0.42890642004073404,"score_spread":0.410085079446442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416222274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99614006,0.000052842603,0.0001513024,0.000048472502,0.0005440011,0.0025650281,0.00014027054,0.000027918606,0.00033012318],"genre_scores_gemma":[0.9983933,0.0000053889607,0.000024411856,0.00043898946,0.00003868954,0.0007201053,0.000033776483,0.000008825865,0.00033651764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977932,0.00016540254,0.001250241,0.00026061275,0.00021724602,0.00031331982],"domain_scores_gemma":[0.99861276,0.00024694265,0.0004975063,0.00016066091,0.00038825258,0.00009388808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005008702,0.00013744805,0.0002944264,0.0002231244,0.00040209547,0.000045336285,0.00008352503,0.000118149765,0.000097251934],"category_scores_gemma":[0.00007328267,0.00009826114,0.000021815058,0.00055709755,0.0000645262,0.0011639307,0.000076178454,0.00028746953,0.000005808894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030285094,0.00040084595,0.9629219,0.0006051271,0.000011434249,3.0076188e-7,0.0060096346,0.0000061199353,5.543092e-7,0.0000062881936,0.000057010966,0.026952274],"study_design_scores_gemma":[0.005721314,0.0007515755,0.991144,0.00021237164,0.0000025341724,2.1334273e-7,0.0005501982,0.0009945743,0.000003582838,0.000018024435,0.00051466795,0.000086930435],"about_ca_topic_score_codex":0.0012380132,"about_ca_topic_score_gemma":0.0010016536,"teacher_disagreement_score":0.028222112,"about_ca_system_score_codex":0.0006094191,"about_ca_system_score_gemma":0.0010532228,"threshold_uncertainty_score":0.4006973},"labels":[],"label_agreement":null},{"id":"W4416282516","doi":"10.2196/69525","title":"Evaluation of the ALIBIRD mHealth Platform for Care of Patients With Lung Cancer: Prospective Pilot Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Agencia Estatal de Investigación; European Commission; European Regional Development Fund; Comunidad de Madrid","keywords":"mHealth; Digital health; Telemedicine; Health care; MEDLINE; Prospective cohort study","score_opus":0.03240184377959336,"score_gpt":0.3823737662425141,"score_spread":0.34997192246292075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416282516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882776,0.002187024,0.000013355396,0.0001587009,0.0005455138,0.007329536,0.00024146657,0.000013652493,0.0012331185],"genre_scores_gemma":[0.9957122,0.000022014692,0.0000066605917,0.00012012281,0.000068127745,0.0038592047,0.000011709347,0.000016567861,0.00018338862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998654,0.000037534326,0.00022813518,0.0002165249,0.0007202332,0.0001435704],"domain_scores_gemma":[0.99756396,0.000027864879,0.0001899682,0.00028994668,0.0018971781,0.000031104293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022123904,0.00011368941,0.0002807829,0.00006134059,0.000065220374,0.0000037964878,0.00009077657,0.000028716051,0.000050944174],"category_scores_gemma":[0.000024488772,0.00007107248,0.000053489264,0.00036948503,0.000047416823,0.00004640945,0.00002856318,0.000091388865,6.018397e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002051476,0.0003885467,0.96267575,0.00084145094,0.00027305077,4.34026e-8,0.007975275,0.00006935454,0.00001719279,0.000057955735,0.0004257744,0.025224132],"study_design_scores_gemma":[0.0071541765,0.0018892285,0.9833042,0.00064812007,0.0011414147,3.3460953e-8,0.00422944,0.00014829042,0.0009962791,0.000038570102,0.00037527859,0.00007496066],"about_ca_topic_score_codex":0.0058277277,"about_ca_topic_score_gemma":0.06594466,"teacher_disagreement_score":0.060116924,"about_ca_system_score_codex":0.0010178017,"about_ca_system_score_gemma":0.0015970485,"threshold_uncertainty_score":0.9510994},"labels":[],"label_agreement":null},{"id":"W4416294240","doi":"10.2196/87973","title":"Supporting Breast Cancer Patients and Providers Through Treatment and Survivorship: Implementation and Usability Evaluation of the MyJourney Platform (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Usability; Workflow; Breast cancer; Documentation; Health care; Multidisciplinary approach; Qualitative research","score_opus":0.08220957112312713,"score_gpt":0.523795673070619,"score_spread":0.4415861019474919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416294240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906338,0.00073444215,0.000006925873,0.0026194982,0.00040591916,0.005062051,0.00010095765,0.000014416371,0.00042197426],"genre_scores_gemma":[0.99636793,0.00038366628,0.000010098528,0.00031118246,0.00005491005,0.0026653896,0.0000066107737,0.000010168008,0.00019002079],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99786925,0.00054958864,0.00064652006,0.00031152202,0.0002523024,0.0003708339],"domain_scores_gemma":[0.9987095,0.000249506,0.00047585982,0.00018713916,0.0003165215,0.00006146629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015156468,0.00013223189,0.00024207188,0.00003524675,0.0004331978,0.0000107474525,0.000052132047,0.00009782928,0.0002052683],"category_scores_gemma":[0.000077245924,0.00008964911,0.00002456418,0.00014916866,0.00007433493,0.00020345057,0.0000802798,0.00018820149,4.776994e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005314532,0.000032130454,0.9058042,0.00064983,0.00003770211,1.0878712e-8,0.009414147,0.0000036363585,0.00005994913,0.0001331385,0.00031029544,0.08350179],"study_design_scores_gemma":[0.002299939,0.00006806192,0.9888929,0.00036214266,0.00007411326,3.876109e-7,0.005714321,0.00031559385,0.00016270138,0.00082230737,0.0012104086,0.00007711611],"about_ca_topic_score_codex":0.05062839,"about_ca_topic_score_gemma":0.11655227,"teacher_disagreement_score":0.08342468,"about_ca_system_score_codex":0.0015703852,"about_ca_system_score_gemma":0.0017398426,"threshold_uncertainty_score":0.95569354},"labels":[],"label_agreement":null},{"id":"W4416373856","doi":"10.2196/72839","title":"ChatGPT Versus DeepSeek for Breast Cancer Information Retrieval: Quantitative Comparative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Breast cancer; Quality assurance; Quality (philosophy); MEDLINE; Cancer","score_opus":0.2513621827024224,"score_gpt":0.5533407666584808,"score_spread":0.30197858395605837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416373856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98170125,0.0006226542,0.00096351054,0.008580361,0.0028368349,0.0038026494,0.00016486118,0.00007081941,0.0012570692],"genre_scores_gemma":[0.9964651,0.00012502907,0.00013863345,0.0008528912,0.00024635787,0.0015695214,0.000035208115,0.000007636945,0.00055962283],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990171,0.0000329923,0.000372533,0.0001777129,0.0001792527,0.00022041542],"domain_scores_gemma":[0.998598,0.00022065222,0.00013096076,0.00016573841,0.00080918457,0.000075457225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016303912,0.00012527456,0.00025645836,0.00016089418,0.00016816334,0.000030878102,0.00006685946,0.000074209674,0.00021903118],"category_scores_gemma":[0.00007515268,0.00011107594,0.00005923989,0.0004895417,0.000054854274,0.00030934077,0.000015318572,0.00014723839,0.000036564496],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.06447761,0.0020261828,0.1846915,0.0016904301,0.0015114555,0.0000031872046,0.23459245,0.0007692548,0.000711006,0.008737179,0.099651024,0.40113872],"study_design_scores_gemma":[0.004553425,0.004456011,0.5879272,0.0013273603,0.00082679634,0.0000039336546,0.2744078,0.011284023,0.013331231,0.0013175741,0.099768385,0.000796207],"about_ca_topic_score_codex":0.002341005,"about_ca_topic_score_gemma":0.0018721098,"teacher_disagreement_score":0.40323573,"about_ca_system_score_codex":0.0004983206,"about_ca_system_score_gemma":0.00075237127,"threshold_uncertainty_score":0.45295453},"labels":[],"label_agreement":null},{"id":"W4416538756","doi":"10.2196/76187","title":"Knowledge of Clinical Trials Among US Cancer Survivors: Cross-Sectional Study of HINTS-SEER Data","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Clinical trial; Leverage (statistics); Cancer; Cancer treatment; Alternative medicine; MEDLINE","score_opus":0.49829822673733937,"score_gpt":0.7015539543738435,"score_spread":0.20325572763650412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416538756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828895,0.0004299504,0.00010464694,0.00011171641,0.006101854,0.00291289,0.0015008855,0.00004308759,0.0059054988],"genre_scores_gemma":[0.99274284,0.00014393347,0.00004452875,0.0006807197,0.0007265799,0.0011238955,0.00010760171,0.00001237133,0.0044175293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9880011,0.0035133525,0.0072741364,0.00048843474,0.000356017,0.00036693047],"domain_scores_gemma":[0.99144113,0.0033368522,0.0025503128,0.0012055199,0.0013155204,0.00015065807],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.022075435,0.0001721649,0.001102328,0.00017950597,0.0003613062,0.000017784034,0.000734351,0.00037843958,0.0047155605],"category_scores_gemma":[0.0040856036,0.00013069891,0.00014068179,0.0006047924,0.00018604605,0.0009509478,0.0005399851,0.00089026155,0.00003474807],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005487814,0.0006677352,0.96952623,0.0013140547,0.00012005028,8.970132e-8,0.0032537926,0.000022101554,0.0000026567973,0.00007403684,0.014801125,0.009669335],"study_design_scores_gemma":[0.002626295,0.00005548198,0.8971486,0.0003339027,0.000028523436,1.6994177e-8,0.0007560745,0.001374026,0.000006700503,0.000038804927,0.097538844,0.0000927221],"about_ca_topic_score_codex":0.030618297,"about_ca_topic_score_gemma":0.032695338,"teacher_disagreement_score":0.082737714,"about_ca_system_score_codex":0.00021344858,"about_ca_system_score_gemma":0.0029023283,"threshold_uncertainty_score":0.99619424},"labels":[],"label_agreement":null},{"id":"W4416562494","doi":"10.2196/71674","title":"The Role of Resilience in Coping With Future Uncertainty Among People With Brain Tumors: Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Optimism, Hope, and Well-being","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Coping (psychology); Adaptability; Health care; Psychological resilience; Disease","score_opus":0.005063829036112649,"score_gpt":0.3166438240534587,"score_spread":0.31157999501734607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416562494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98716533,0.00043204127,0.000031669748,0.00038280882,0.00025660353,0.0007362183,0.0000062790864,0.000026487814,0.010962535],"genre_scores_gemma":[0.9963041,0.000009445829,0.000013831877,0.00019441218,0.00015027267,0.0006108431,0.0000019618774,0.000014479885,0.0027006487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987208,0.000109934386,0.0002587118,0.00036457842,0.00022530135,0.00032062933],"domain_scores_gemma":[0.99922854,0.00017517063,0.00012350809,0.00033588253,0.000103401595,0.00003351898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003229262,0.00014290247,0.00019850074,0.00008209084,0.00022170559,0.00005856462,0.00025413345,0.000067596644,0.0001305762],"category_scores_gemma":[0.000010159929,0.00009075609,0.000029852352,0.0006093629,0.00018181122,0.00009435192,0.000043961227,0.00028005618,0.0000030713352],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072958926,0.00013222343,0.9828527,0.000016438056,0.00006051044,0.000008058022,0.007853759,0.005409905,0.000022806778,0.0011091424,0.000617019,0.0011878781],"study_design_scores_gemma":[0.0012427084,0.00021603014,0.98342055,0.00008811375,0.0000072848675,0.0000024345147,0.012764297,0.00012822574,0.000037631173,0.00011757563,0.0018579724,0.00011719651],"about_ca_topic_score_codex":0.005386751,"about_ca_topic_score_gemma":0.039999112,"teacher_disagreement_score":0.03461236,"about_ca_system_score_codex":0.00011016456,"about_ca_system_score_gemma":0.0001915928,"threshold_uncertainty_score":0.9775184},"labels":[],"label_agreement":null},{"id":"W4416586904","doi":"10.2196/74123","title":"Use of an Integrated Knowledge Translation Approach to Develop an Electronic Patient-Reported Outcome System for Cancer Rehabilitation: Tutorial","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Saint John Regional Hospital; Dalhousie University; University of New Brunswick; Dr. H. Bliss Murphy Cancer Centre; Memorial University of Newfoundland; Université Laval; Princess Margaret Cancer Centre; University of Calgary; Public Health Ontario; University of British Columbia; McMaster University; Mila - Quebec Artificial Intelligence Institute; University Health Network; University of Toronto","funders":"","keywords":"Workflow; Usability; Knowledge translation; Focus group; Process (computing); Adaptation (eye); Interface (matter); Clinical decision support system; User interface","score_opus":0.06250379932472612,"score_gpt":0.3633045891473881,"score_spread":0.300800789822662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416586904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862652,0.0008103324,0.0051077567,0.00042257717,0.0027108109,0.0037830162,0.00019076846,0.00016891006,0.00054063025],"genre_scores_gemma":[0.99275464,0.000007524509,0.0017546332,0.0001414504,0.00033436454,0.0042410498,0.0002391617,0.00003457105,0.00049258326],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99830467,0.00009950259,0.00063234725,0.0004482214,0.00021736746,0.00029790503],"domain_scores_gemma":[0.99794704,0.00011221523,0.00014560175,0.00037077334,0.0012955155,0.00012884809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023410998,0.00019990934,0.0004602247,0.00022027423,0.000064592925,0.000025015945,0.00008818532,0.0001587516,0.000021149981],"category_scores_gemma":[0.00010984433,0.00017665952,0.00010277118,0.0011644776,0.00003487765,0.00021042122,0.00001113128,0.00015244077,6.1214087e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.015894257,0.0017993072,0.081667,0.008000592,0.0010587344,0.0000032223106,0.05977489,0.0015430836,0.011858056,0.005547041,0.0049344646,0.8079194],"study_design_scores_gemma":[0.0076742056,0.0031675964,0.057729267,0.0017291823,0.0009990314,0.0000073268993,0.011372705,0.0077738347,0.00985319,0.00006539522,0.89869803,0.00093022623],"about_ca_topic_score_codex":0.0038911179,"about_ca_topic_score_gemma":0.019454375,"teacher_disagreement_score":0.8937636,"about_ca_system_score_codex":0.0011948233,"about_ca_system_score_gemma":0.001784372,"threshold_uncertainty_score":0.998438},"labels":[],"label_agreement":null},{"id":"W4416634010","doi":"10.2196/76266","title":"Health Care Providers’ Perceptions of Unmet Needs Among African American Cancer Caregivers: Qualitative Investigation Among US Medical Professionals","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"African american; Restructuring; Perception; Cultural humility; Health care; Humility; Qualitative research; Health professionals; Health equity","score_opus":0.019486207821252818,"score_gpt":0.4049986392558909,"score_spread":0.3855124314346381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416634010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97012806,0.0023442218,0.00007339252,0.023523062,0.00062735373,0.0014341269,0.0002740461,0.00009303249,0.0015027339],"genre_scores_gemma":[0.9918178,0.00033344398,0.0000625616,0.0034645614,0.00023468811,0.0018903109,0.00012775007,0.000033431686,0.0020354572],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9972788,0.00040990277,0.0005525196,0.00043282213,0.00090678496,0.00041918302],"domain_scores_gemma":[0.99804085,0.00015725178,0.0004144367,0.00036786997,0.0005820057,0.00043757653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029393067,0.00026825475,0.0007507243,0.00044336703,0.00018200265,0.000017854989,0.00019336419,0.00016093107,0.0006373527],"category_scores_gemma":[0.000113410875,0.00023571041,0.00019803704,0.0017205144,0.0011380045,0.00017541758,0.00008558213,0.00048052036,0.0000023105256],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020224339,0.000083544655,0.5516665,0.0011629132,0.00022375875,0.000004392163,0.403703,0.000014584989,0.00009225884,0.00021139173,0.023372257,0.019263154],"study_design_scores_gemma":[0.0009210066,0.00021835897,0.4866244,0.002327426,0.0001162936,6.96581e-7,0.5038094,0.000037827314,0.00023276808,0.000028931237,0.005470609,0.00021233683],"about_ca_topic_score_codex":0.17004459,"about_ca_topic_score_gemma":0.19861491,"teacher_disagreement_score":0.10010636,"about_ca_system_score_codex":0.001386507,"about_ca_system_score_gemma":0.0045023295,"threshold_uncertainty_score":0.96119916},"labels":[],"label_agreement":null},{"id":"W4416657097","doi":"10.2196/79942","title":"MyPainPal, a Novel mHealth App to Improve Pain in Patients With Advanced Cancer: Single-Arm Pilot Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Pain Management and Opioid Use","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Nursing Research","keywords":"mHealth; Telemedicine; Digital health; Mobile apps; MEDLINE","score_opus":0.01783711453221183,"score_gpt":0.31891589478258886,"score_spread":0.30107878025037704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416657097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903389,0.00024356066,0.00047939247,0.0020541884,0.0003315642,0.005415992,0.0000251428,0.00010355155,0.0010077034],"genre_scores_gemma":[0.98678946,0.000034980712,0.00046395656,0.007053686,0.0001110758,0.0028107422,0.000013013547,0.000035750105,0.0026873476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823356,0.00006133575,0.00032574337,0.0005420639,0.0003625683,0.0004747024],"domain_scores_gemma":[0.99914116,0.000058106194,0.00009816134,0.00042128036,0.00013010133,0.00015118349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038342833,0.00024734891,0.0004165918,0.0003109747,0.00006797162,0.00002383201,0.00015641889,0.000035970508,0.0000706212],"category_scores_gemma":[0.000070596005,0.0002028372,0.00002984951,0.0008891992,0.000028059061,0.00008112106,0.00008459162,0.00022254178,0.000006209685],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004015419,0.009679714,0.8643403,0.00039779837,0.00012880216,0.000007432742,0.00074747956,0.00016830335,0.0006198585,0.000029973791,0.004705945,0.11515895],"study_design_scores_gemma":[0.013095966,0.015716916,0.94812316,0.00075717375,0.000082249535,1.3427543e-8,0.0005230139,0.00020707352,0.00005598294,0.0000100799425,0.02117059,0.00025777938],"about_ca_topic_score_codex":0.0012801656,"about_ca_topic_score_gemma":0.004462847,"teacher_disagreement_score":0.11490117,"about_ca_system_score_codex":0.000802844,"about_ca_system_score_gemma":0.00027308462,"threshold_uncertainty_score":0.82714605},"labels":[],"label_agreement":null},{"id":"W4416738835","doi":"10.2196/79144","title":"Exploring Perspectives of Patients With Cancer on Implementing Electronic Patient-Reported Outcome Measures to Enhance Patient-Centered Care: Qualitative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Qualitative research; Cancer; Health care; Outcome (game theory); Focus group; MEDLINE; Patient experience","score_opus":0.05961798803982272,"score_gpt":0.4025721982499179,"score_spread":0.3429542102100952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416738835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99417436,0.0013917254,0.000041412302,0.00024729662,0.00047987796,0.0028974684,0.000106769,0.00006357809,0.00059749524],"genre_scores_gemma":[0.99519604,0.00006582097,0.000014810175,0.00033858872,0.00005609553,0.0041316845,0.000022267344,0.000045212983,0.00012947126],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9970539,0.00015054975,0.0006562303,0.00069615646,0.00083080865,0.0006123135],"domain_scores_gemma":[0.997943,0.0000604723,0.00034535353,0.0004776808,0.0010507386,0.00012275911],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013597765,0.00033820796,0.00060614524,0.00030364844,0.00013311315,0.000020825963,0.0001255883,0.000042002557,0.00013045252],"category_scores_gemma":[0.00006279411,0.00027641683,0.00013420876,0.00079288863,0.000046777557,0.00014744262,0.00008965485,0.0002823211,0.0000017257054],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003125387,0.0008099026,0.4497326,0.00020330156,0.00077359093,0.0000051148522,0.47559407,0.000033988345,0.0002556458,0.000038716633,0.000107934706,0.06931972],"study_design_scores_gemma":[0.0034820735,0.004323821,0.25112274,0.00088200317,0.00036302835,1.6781058e-7,0.7233582,0.0000015869839,0.009638169,0.000006144133,0.006379216,0.00044286627],"about_ca_topic_score_codex":0.0049905563,"about_ca_topic_score_gemma":0.023051128,"teacher_disagreement_score":0.2477641,"about_ca_system_score_codex":0.0014656548,"about_ca_system_score_gemma":0.00039074334,"threshold_uncertainty_score":0.9999688},"labels":[],"label_agreement":null},{"id":"W4416786470","doi":"10.2196/72665","title":"Comparison of Machine Learning Models for Colon Cancer Survival: Predictive Modeling Approach","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"AI in cancer detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Colorectal cancer; Predictive modelling; Cancer; Clinical Practice; MEDLINE","score_opus":0.10407284683720595,"score_gpt":0.3836249451323374,"score_spread":0.27955209829513145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416786470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008312409,0.003052043,0.9841564,0.00033640667,0.0009924986,0.00087258255,0.000037268186,0.0001986214,0.0020417154],"genre_scores_gemma":[0.98576146,0.00018746848,0.010996852,0.00007980517,0.000121143625,0.0022388212,0.0000064201354,0.000021398193,0.0005866553],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840045,0.00007419286,0.00037957897,0.0005346477,0.0003035607,0.0003075601],"domain_scores_gemma":[0.9989871,0.00009970853,0.00021449916,0.00034029467,0.0003088344,0.000049592072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026518304,0.00018583846,0.00040207416,0.0001646244,0.00018446824,0.00004782448,0.00056558265,0.00012438754,0.0000066367456],"category_scores_gemma":[0.000016417283,0.00018636377,0.0001087729,0.00059038535,0.00004514462,0.00040252614,0.0001898954,0.00029308983,3.8882672e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013387443,0.000066521745,0.0026574754,0.00018444401,0.00008062122,6.9103415e-8,0.0013136275,0.96851957,0.00046609828,0.0036025832,0.00048378934,0.02249133],"study_design_scores_gemma":[0.0006348244,0.00010813405,0.000100951635,0.00011763321,0.000030477018,1.7130812e-7,0.00011809267,0.99236995,0.0024648432,0.0022819284,0.0016091209,0.00016386877],"about_ca_topic_score_codex":0.0013224178,"about_ca_topic_score_gemma":0.00031512688,"teacher_disagreement_score":0.977449,"about_ca_system_score_codex":0.00046304238,"about_ca_system_score_gemma":0.0003156354,"threshold_uncertainty_score":0.7599694},"labels":[],"label_agreement":null},{"id":"W4416903850","doi":"10.2196/75633","title":"Effectiveness and Adherence of Nutritional Management via Electronic Patient-Reported Outcomes Platform in Patients With Cancer: Multicenter Prospective Longitudinal Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Prospective cohort study; Duration (music); Cohort study; Cohort; Quality of life (healthcare); MEDLINE","score_opus":0.010621091485661057,"score_gpt":0.31798737275447303,"score_spread":0.307366281268812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416903850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940774,0.00022771831,0.00007489959,0.000053961958,0.00008031931,0.0051167286,0.000010063029,0.000016176778,0.00034272],"genre_scores_gemma":[0.9943357,0.00006068905,0.000033402415,0.000077248726,0.000006484474,0.005235451,0.0000115500025,0.000008143407,0.00023133213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870366,0.000024430698,0.00030045692,0.00038440854,0.0003751573,0.00021186947],"domain_scores_gemma":[0.9993257,0.000033260207,0.00015793923,0.00020584925,0.00022881514,0.000048448088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009501698,0.00015284437,0.0003607023,0.00012742836,0.00003761367,0.000007426404,0.00006265837,0.00003512359,0.0001892199],"category_scores_gemma":[0.00000855653,0.00011622737,0.00002809097,0.00034164637,0.00007188745,0.00008573426,0.000039278657,0.00015436193,0.0000025580741],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018959877,0.0016114375,0.98949295,0.00037818804,0.00055529916,0.000007812,0.00012200458,0.0000042721613,0.000014187888,0.00008835624,0.000053835083,0.005775667],"study_design_scores_gemma":[0.010255994,0.00073119544,0.98731256,0.0009887975,0.00015557189,4.886277e-7,0.00014522058,0.000028454826,0.00015280081,0.00008334133,0.00003998558,0.00010559057],"about_ca_topic_score_codex":0.00039926448,"about_ca_topic_score_gemma":0.00018325122,"teacher_disagreement_score":0.008360007,"about_ca_system_score_codex":0.0003848349,"about_ca_system_score_gemma":0.00014889431,"threshold_uncertainty_score":0.47396144},"labels":[],"label_agreement":null},{"id":"W4416987187","doi":"10.2196/79011","title":"FHIR Standard–Based Oncology Data Model for Cancer Screening: Design and Implementation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"AI in cancer detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interoperability; Cancer; Data sharing; Health data; Work (physics); Data exchange; Focus (optics); Patient data; Survivorship curve","score_opus":0.14827943294016796,"score_gpt":0.4809391055522493,"score_spread":0.3326596726120813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416987187","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032095518,0.00043047004,0.9903013,0.0029241072,0.00046739457,0.002366132,0.00015161038,0.00011108064,0.000038347785],"genre_scores_gemma":[0.71705276,0.00012745752,0.2718595,0.0021528732,0.00018712367,0.0081569515,0.000022828735,0.000029214629,0.00041131375],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985038,0.0000916497,0.00024671675,0.0006729641,0.00021975195,0.00026509893],"domain_scores_gemma":[0.99883306,0.00014412122,0.00013082135,0.0006790235,0.00015979235,0.000053167445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055959314,0.00014580425,0.00020741718,0.0001335946,0.00021684567,0.00011090469,0.000692372,0.000061442996,0.000020911912],"category_scores_gemma":[0.0000109129505,0.00014473674,0.000023378114,0.00033896408,0.00003614002,0.00050960714,0.00032315464,0.000103169565,3.3394153e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041417842,0.00008296156,0.0028178631,0.00006039859,0.00011745863,0.0000014786847,0.0012462977,0.056425665,0.00036320664,0.0005056519,0.036461767,0.9015031],"study_design_scores_gemma":[0.002458732,0.00035618464,0.0014182357,0.000028257084,0.000048021913,2.7549405e-7,0.00017944214,0.965839,0.0011171044,0.0007384641,0.027658984,0.00015729028],"about_ca_topic_score_codex":0.0005300987,"about_ca_topic_score_gemma":0.0033572312,"teacher_disagreement_score":0.90941334,"about_ca_system_score_codex":0.0005457999,"about_ca_system_score_gemma":0.0012276989,"threshold_uncertainty_score":0.59021926},"labels":[],"label_agreement":null},{"id":"W7077498456","doi":"10.2196/70354","title":"Cultural Adaptation of a Web-Based Ostomy Care Intervention for Hispanic Patients With Cancer and Caregivers: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intervention (counseling); Cancer; Culturally appropriate; Pace; Adaptation (eye); Health care; MEDLINE; Research design","score_opus":0.01740082776022364,"score_gpt":0.3363289176001695,"score_spread":0.3189280898399458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7077498456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9105493,0.00078561355,0.08666012,0.0003793014,0.00031688204,0.0010582373,0.000025130636,0.000042148025,0.0001832664],"genre_scores_gemma":[0.9915447,0.00000365947,0.007250288,0.000030079742,0.000010868115,0.0008192841,0.0000109735365,0.0000016780525,0.00032844144],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993312,0.000061001978,0.0001356142,0.00026294144,0.000096240365,0.00011303871],"domain_scores_gemma":[0.99917203,0.00004660412,0.00012503186,0.00015801923,0.00047587883,0.000022453403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008919072,0.00009607469,0.00014347806,0.000046514386,0.00006765298,0.000026346062,0.0001698139,0.000036945683,0.000009759228],"category_scores_gemma":[0.000022604354,0.00007508737,0.000042369964,0.00021379678,0.00002951523,0.00013440948,0.000063095606,0.000048503724,6.5673255e-8],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035304017,0.00036018825,0.13766031,0.0013990487,0.000220134,0.0000011466408,0.018267497,0.0041799922,0.0006840114,0.00040396204,0.0017283807,0.8347423],"study_design_scores_gemma":[0.03186195,0.0027975552,0.6675107,0.00218261,0.0004205045,4.947799e-7,0.052985165,0.15260227,0.014857524,0.0003066307,0.0734438,0.0010307942],"about_ca_topic_score_codex":0.00049538974,"about_ca_topic_score_gemma":0.0008214586,"teacher_disagreement_score":0.8337115,"about_ca_system_score_codex":0.00009298638,"about_ca_system_score_gemma":0.0001053295,"threshold_uncertainty_score":0.3061974},"labels":[],"label_agreement":null},{"id":"W7105864055","doi":"10.2196/73889","title":"Measurements and Digital Technology Solutions to Monitor Physical Activity in Patients With Pediatric Cancer: Scoping Review","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Physical activity; Digital health; Activity monitor; Rehabilitation; Focus (optics); Focus group; Accelerometer","score_opus":0.03593297673662574,"score_gpt":0.37504089294182147,"score_spread":0.33910791620519576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105864055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97850746,0.009401384,0.000020068728,0.0092953,0.00021561111,0.0023147813,0.000041204992,0.00006665077,0.00013755268],"genre_scores_gemma":[0.9958841,0.0015423563,0.00003343888,0.0010243767,0.00018650161,0.0012058817,0.0000039218085,0.00001737067,0.000102023194],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986986,0.000028515313,0.00020077518,0.00039344872,0.0003668441,0.00031185383],"domain_scores_gemma":[0.9993599,0.000030249235,0.00007671515,0.00027168693,0.00015284294,0.00010860303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009595989,0.00017452604,0.0004843685,0.00023509465,0.00006940816,0.000018555429,0.00008847933,0.000062998806,0.000011710899],"category_scores_gemma":[0.00009055396,0.00015337544,0.00003961358,0.0010301631,0.000056089557,0.00015040717,0.000108673965,0.00022570831,0.0000045166453],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017255553,0.0004312115,0.96486276,0.004229985,0.000053721586,0.0000010130611,0.00013920164,0.000008568075,0.000018877168,0.000004085462,0.0012707714,0.028807264],"study_design_scores_gemma":[0.0023510058,0.000213179,0.9612917,0.035306692,0.00014816898,3.5310129e-7,0.000022270202,0.000007481289,0.00016875425,0.000012836164,0.00025601123,0.00022155388],"about_ca_topic_score_codex":0.00037118676,"about_ca_topic_score_gemma":0.0010401822,"teacher_disagreement_score":0.031076709,"about_ca_system_score_codex":0.00038418715,"about_ca_system_score_gemma":0.00042406048,"threshold_uncertainty_score":0.62544686},"labels":[],"label_agreement":null},{"id":"W7105993569","doi":"10.2196/74196","title":"Explainable AI for Predicting Mortality Risk in Metastatic Cancer: Retrospective Cohort Study Using the Memorial Sloan Kettering-Metastatic Dataset","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Retrospective cohort study; Interoperability; Health records; Health care; Cohort study; MEDLINE; Risk assessment; Cancer","score_opus":0.14693206532116276,"score_gpt":0.5049688298826509,"score_spread":0.35803676456148814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105993569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885349,0.00035572253,0.0010329939,0.0013958785,0.0019771054,0.0056233355,0.0010221528,0.000030036943,0.000027824544],"genre_scores_gemma":[0.99309266,0.00011721441,0.00016990214,0.0008625554,0.0006842361,0.00480333,0.00015245931,0.000021147105,0.00009647546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980155,0.00018907455,0.0006152804,0.00046684442,0.00031263992,0.00040066504],"domain_scores_gemma":[0.99873674,0.00024856554,0.00022520192,0.0004743208,0.00024415055,0.000071004564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013097946,0.00018343126,0.0004516887,0.00014229285,0.00035779446,0.000053740834,0.00014318021,0.00004195247,0.00012991334],"category_scores_gemma":[0.00042403338,0.00014167649,0.00006458096,0.00058885955,0.00007604608,0.00018529764,0.000051032734,0.00038870197,0.0000016075074],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002928535,0.00025668478,0.9860942,0.00024116813,0.00029315497,0.000007124488,0.0032697604,0.0009432657,0.00007943618,0.00001902218,0.0050231377,0.0034802034],"study_design_scores_gemma":[0.00078416354,0.00038991214,0.9452119,0.00048981875,0.0015135354,0.000003459147,0.01705395,0.028030291,0.0016604343,0.0013193933,0.0032728869,0.00027028116],"about_ca_topic_score_codex":0.104661874,"about_ca_topic_score_gemma":0.027434595,"teacher_disagreement_score":0.07722728,"about_ca_system_score_codex":0.0011720913,"about_ca_system_score_gemma":0.00086699874,"threshold_uncertainty_score":0.99031216},"labels":[],"label_agreement":null},{"id":"W7115948209","doi":"10.2196/72647","title":"Evaluating a Telehealth Coaching and Mobile-Based Digital Engagement Intervention for People With Cancer Using the Patient-Reported Outcomes Measurement Information System Global Health: Pilot Questionnaire Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Telehealth; Health coaching; Digital health; Intervention (counseling); Coaching; Telemedicine; mHealth; eHealth","score_opus":0.10007064114938347,"score_gpt":0.4572715496581332,"score_spread":0.35720090850874975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115948209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95580876,0.00062424986,0.029583089,0.0024679487,0.00039061124,0.010949236,0.00006710698,0.00009855747,0.000010429792],"genre_scores_gemma":[0.99150074,0.000007371325,0.00036438872,0.0014889142,0.000061066006,0.0065087494,0.000052543255,0.000012283833,0.000003960767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99762374,0.00017775591,0.000909692,0.00025210532,0.00072581915,0.00031090828],"domain_scores_gemma":[0.99838287,0.000053926826,0.0006914804,0.00021176398,0.0005543273,0.00010564516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014035361,0.00019948016,0.00038747131,0.00012441739,0.0005120381,0.000086405125,0.000049917056,0.000026051262,0.0000055545493],"category_scores_gemma":[0.00011098297,0.00013088458,0.000049645823,0.00035139278,0.000024333154,0.0002805654,0.000031328505,0.00014438172,1.7528474e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008679337,0.0002643377,0.7174309,0.0025879988,0.00024060914,6.4308426e-7,0.0032234564,0.0008647969,0.000005427683,0.000028314895,0.00020351665,0.2742821],"study_design_scores_gemma":[0.016171964,0.0075602597,0.9209364,0.0040794504,0.00053045613,0.000009542726,0.026187694,0.023523578,0.000019029672,0.0000071123,0.00078872446,0.00018575898],"about_ca_topic_score_codex":0.008640255,"about_ca_topic_score_gemma":0.003786642,"teacher_disagreement_score":0.27409634,"about_ca_system_score_codex":0.002741867,"about_ca_system_score_gemma":0.0014752849,"threshold_uncertainty_score":0.9979613},"labels":[],"label_agreement":null},{"id":"W7116662635","doi":"10.2196/81346","title":"Patients’ Attitudes and Beliefs Toward Artificial Intelligence Use in Cancer Care: Cross-Sectional Survey Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cancer; Survey research; MEDLINE; Survey data collection","score_opus":0.30227773818156256,"score_gpt":0.5259587086398573,"score_spread":0.22368097045829471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116662635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99573696,0.0009460793,0.00004724503,0.00030919586,0.0015865866,0.0012349067,0.00005207725,0.000030018375,0.000056947556],"genre_scores_gemma":[0.9977369,0.00030147177,0.00002536361,0.0004785221,0.00028222223,0.00077608606,0.000040454663,0.000014133206,0.00034485562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983607,0.000090980415,0.00054988195,0.00046050583,0.000256865,0.00028105147],"domain_scores_gemma":[0.99882215,0.00019857059,0.00007671004,0.00020266496,0.00060334225,0.000096530355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027217614,0.00015726198,0.00024300594,0.0002113881,0.00014026686,0.000094862946,0.000083613086,0.00012714718,0.00020166414],"category_scores_gemma":[0.00024472747,0.00014856257,0.0000375121,0.0005425392,0.00011852582,0.00017906372,0.00005307891,0.000284594,0.000011718351],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036024733,0.000568059,0.94515014,0.00017146216,0.000028949691,0.0000021184478,0.0038135014,0.00010637669,0.000016993166,0.00007384508,0.00014556653,0.04956272],"study_design_scores_gemma":[0.00007421008,0.00020914164,0.9973187,0.00013255366,0.000009617406,2.8651107e-7,0.0010515476,0.00005376288,0.0005912073,0.0001421253,0.000292526,0.000124311],"about_ca_topic_score_codex":0.06417101,"about_ca_topic_score_gemma":0.09353256,"teacher_disagreement_score":0.052168548,"about_ca_system_score_codex":0.0006205652,"about_ca_system_score_gemma":0.0006210507,"threshold_uncertainty_score":0.94206077},"labels":[],"label_agreement":null},{"id":"W7116741269","doi":"10.2196/82971","title":"Large Language Models for Breast and Cervical Cancer Communication: Mixed-methods Evaluation of Linguistic Quality, Safety, and Accessibility (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cervical cancer; Breast cancer; MEDLINE; Pragmatics","score_opus":0.10067608963434557,"score_gpt":0.5973600700214101,"score_spread":0.4966839803870645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116741269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9058272,0.0075204745,0.06472148,0.0038315835,0.00082481233,0.005682897,0.0018424306,0.00009560528,0.009653507],"genre_scores_gemma":[0.9908513,0.0004721251,0.004290175,0.0017977162,0.00009068585,0.002172071,0.000060455524,0.000009627378,0.0002558684],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9954765,0.0020799418,0.0015585199,0.00032753174,0.00025873628,0.0002987855],"domain_scores_gemma":[0.99576575,0.0014770805,0.0006019963,0.00065495295,0.0013877223,0.00011249587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01191573,0.00013949804,0.00040097733,0.000087822154,0.00057459244,0.000022641565,0.00022354593,0.00021061931,0.0007454587],"category_scores_gemma":[0.0009862401,0.00012079906,0.00004760235,0.0002396419,0.000103508006,0.00044714598,0.00039035696,0.00038075438,0.0000012058188],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096501695,0.00019142445,0.24369544,0.010271096,0.00007055477,3.073104e-8,0.049992666,0.0001516696,0.0000588169,0.031490993,0.0009242913,0.662188],"study_design_scores_gemma":[0.0027441268,0.000012650307,0.81236166,0.0008990543,0.000066726396,2.0608935e-7,0.0041739065,0.14652358,0.000046935285,0.026346272,0.0066687553,0.00015614774],"about_ca_topic_score_codex":0.0019209568,"about_ca_topic_score_gemma":0.002564447,"teacher_disagreement_score":0.6620319,"about_ca_system_score_codex":0.00039050844,"about_ca_system_score_gemma":0.0011063045,"threshold_uncertainty_score":0.816225},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W7116756235","doi":"10.2196/80659","title":"Navigating the Complexity of Lung Cancer Surveillance Practices: Qualitative Pilot Study on Provider Perspectives","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Risk stratification; Lung cancer; Risk assessment; Qualitative research; Data collection; MEDLINE","score_opus":0.12830860257293986,"score_gpt":0.5121133671696361,"score_spread":0.3838047645966962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116756235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95701873,0.0069643473,0.0000072713474,0.030675182,0.00026214393,0.0030609458,0.00008761571,0.00004349819,0.0018802467],"genre_scores_gemma":[0.99485004,0.00038113154,0.00004243022,0.0007240645,0.00015637133,0.0034121198,0.000004416842,0.000018779521,0.00041062114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99833983,0.00031919798,0.00030936653,0.00043206685,0.0003780806,0.00022145413],"domain_scores_gemma":[0.9981033,0.0005978564,0.00048045744,0.00041707422,0.00035327455,0.000047996877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003894024,0.00020298827,0.0004252415,0.000029731853,0.00016488507,0.000026030964,0.00012527421,0.000026588745,0.0001677012],"category_scores_gemma":[0.00018339012,0.00012343879,0.0000777024,0.0003889665,0.0002925583,0.00007978827,0.000051940864,0.00037226878,0.0000022703084],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019686301,0.0051958985,0.8531759,0.0007258712,0.0023830598,0.000012019742,0.122914456,0.00005739996,0.00026857058,0.0036854076,0.0065428494,0.0030699596],"study_design_scores_gemma":[0.0037597048,0.002228875,0.90654737,0.0018490505,0.00034592542,8.4453535e-7,0.083356276,0.00013912182,0.00062213076,0.00016864322,0.00080556044,0.00017651501],"about_ca_topic_score_codex":0.014661493,"about_ca_topic_score_gemma":0.0060233246,"teacher_disagreement_score":0.053371474,"about_ca_system_score_codex":0.0009447105,"about_ca_system_score_gemma":0.000483252,"threshold_uncertainty_score":0.99189997},"labels":[],"label_agreement":null},{"id":"W7117124306","doi":"10.2196/77121","title":"Designing an App to Facilitate Self-Management in Young Adult Survivors of Childhood Cancer: Development and Usability Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Young adult; Usability; Mobile apps; Qualitative research","score_opus":0.028709446265606606,"score_gpt":0.3337936976500258,"score_spread":0.3050842513844192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117124306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928545,0.00051641156,0.00018746709,0.0010089228,0.00029282554,0.0038222915,0.000027226897,0.00012418396,0.0011661681],"genre_scores_gemma":[0.99278635,0.00012336571,0.003932104,0.000769468,0.000053471234,0.0019506614,0.0000069197763,0.000026976111,0.00035066585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99702823,0.00022201052,0.00088476896,0.00083739497,0.0005824038,0.0004451846],"domain_scores_gemma":[0.99876744,0.00009150187,0.00013911685,0.000574126,0.00019714893,0.00023066913],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009846338,0.00032492194,0.00073768006,0.00036175604,0.00010138538,0.00002585695,0.00021764297,0.000080928294,0.000045619847],"category_scores_gemma":[0.00006242128,0.00032326783,0.00005949201,0.0008618631,0.00006131351,0.00013869,0.000203598,0.00024317716,0.0000032459159],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037873533,0.0017123413,0.86754787,0.0009736037,0.00044496573,0.000008447603,0.09638075,0.00011580151,0.0001036079,0.00005320091,0.00018103851,0.03209967],"study_design_scores_gemma":[0.0034525748,0.00030011125,0.97569937,0.0007887757,0.00011167497,9.251335e-7,0.016930837,0.000031759744,0.0011567568,0.00003730874,0.0011842258,0.00030565832],"about_ca_topic_score_codex":0.024546484,"about_ca_topic_score_gemma":0.13986607,"teacher_disagreement_score":0.11531959,"about_ca_system_score_codex":0.00067807373,"about_ca_system_score_gemma":0.00049296545,"threshold_uncertainty_score":0.9999219},"labels":[],"label_agreement":null},{"id":"W7117464737","doi":"10.2196/69710","title":"Patient Perspectives on AI-Powered Medical Robots in Breast and Prostate Cancer Care: Qualitative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"St. Joseph’s Healthcare Hamilton; University of Toronto; Toronto Metropolitan University; McMaster University; Sinai Health System; Sunnybrook Health Science Centre","funders":"","keywords":"Qualitative research; Prostate cancer; Exploratory research; Health care; Breast cancer; Patient care; Cancer; Robot","score_opus":0.050952289564470996,"score_gpt":0.5127628530223493,"score_spread":0.46181056345787824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117464737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96603686,0.0043225586,0.0000032520043,0.027130246,0.00044656364,0.0014393842,0.000020123814,0.000023226938,0.00057777186],"genre_scores_gemma":[0.9955295,0.0009369427,0.0000081929375,0.0017293716,0.00012980719,0.0014094134,0.0000053626068,0.00001074548,0.0002406792],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9986699,0.00013627908,0.0003079075,0.00035660414,0.0003117557,0.00021753706],"domain_scores_gemma":[0.9992956,0.00010071481,0.000054938166,0.00014929328,0.00027628132,0.00012318166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016694149,0.00012576983,0.00023496928,0.00015906375,0.000074000214,0.000014982729,0.000040911313,0.000083909974,0.00025610643],"category_scores_gemma":[0.000084348336,0.000102882535,0.000026733562,0.00033942607,0.00009742925,0.00005659152,0.000025252157,0.0003106677,0.0000056917825],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007673892,0.0006207529,0.13858482,0.00013580477,0.000045996167,0.00001504475,0.7051169,0.000017726301,0.000021834636,0.00023438367,0.0018117699,0.15262756],"study_design_scores_gemma":[0.00034019043,0.000587807,0.12371937,0.0009386092,0.000025558174,0.000002250873,0.8729604,0.00006388119,0.00025387082,0.00018176976,0.0008013566,0.00012493176],"about_ca_topic_score_codex":0.013736062,"about_ca_topic_score_gemma":0.006622274,"teacher_disagreement_score":0.16784349,"about_ca_system_score_codex":0.0006570801,"about_ca_system_score_gemma":0.0009404077,"threshold_uncertainty_score":0.9928315},"labels":[],"label_agreement":null},{"id":"W7117530860","doi":"10.2196/73058","title":"Patient and Clinician Perspectives on Expanding Telehealth Use for Older Adults Across the Cancer Control Continuum: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Telehealth; Cancer; Telemedicine; Control (management); Service (business); MEDLINE; Cancer prevention","score_opus":0.03950030201487454,"score_gpt":0.5099202303726164,"score_spread":0.4704199283577418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117530860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9796938,0.0020836457,0.0011370013,0.0085477885,0.0008448938,0.007475485,0.0001323849,0.000050010723,0.000035005545],"genre_scores_gemma":[0.98403996,0.0004639684,0.00042055504,0.008684072,0.00039334584,0.0057107415,0.000009282913,0.000025635843,0.00025241397],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9980549,0.00024183672,0.00053869374,0.00050127594,0.0002104651,0.0004528021],"domain_scores_gemma":[0.9981078,0.0009494103,0.00024984236,0.00029343474,0.00027251552,0.00012698637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008055451,0.00020389417,0.00047852704,0.000093590446,0.00035489246,0.000039693135,0.00006773714,0.00006818682,0.000051133797],"category_scores_gemma":[0.0002512088,0.00013177845,0.00007589684,0.00023651552,0.00008242198,0.00008003536,0.000033198914,0.0002522055,4.810459e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022621776,0.0003808544,0.26589298,0.00022927957,0.00024341333,0.0000026215537,0.053229976,0.0000013268562,0.00007029817,0.00005821219,0.012485721,0.66514313],"study_design_scores_gemma":[0.0147537915,0.0016129151,0.81219983,0.0004630659,0.00019200836,0.0000012551119,0.14666213,0.00010021765,0.00025546562,0.000016936541,0.023618743,0.00012364255],"about_ca_topic_score_codex":0.002018863,"about_ca_topic_score_gemma":0.0039796606,"teacher_disagreement_score":0.6650195,"about_ca_system_score_codex":0.00029027706,"about_ca_system_score_gemma":0.00024145564,"threshold_uncertainty_score":0.5373769},"labels":[],"label_agreement":null},{"id":"W7133757555","doi":"10.2196/86073","title":"Evaluation of a RAG-Based LLM for Evidence-Based Herb and Supplement Information in Cancer Care (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Complementary and Alternative Medicine Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cancer; Herb; Alternative medicine; MEDLINE; Health care","score_opus":0.10103611263369625,"score_gpt":0.4597235553583363,"score_spread":0.35868744272464004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133757555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9805122,0.005934635,0.0025667553,0.006837213,0.0002441127,0.003603318,0.00010856685,0.000011673923,0.00018155256],"genre_scores_gemma":[0.9950171,0.00015483538,0.0002599364,0.00069426495,0.00006474037,0.003736883,0.000046602592,0.0000033349193,0.000022262597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990442,0.000047429858,0.00028919464,0.00013750746,0.00036571609,0.000115966424],"domain_scores_gemma":[0.99901175,0.00013401073,0.00009652249,0.00011747221,0.00061595865,0.000024254263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049448287,0.00009267826,0.00020796501,0.00017045744,0.000037758557,0.0000049454206,0.000038602582,0.000011453276,0.0003983828],"category_scores_gemma":[0.00012634337,0.00007721128,0.00004030604,0.00016020362,0.000043564767,0.000105994404,0.000024224664,0.000056085624,2.6603493e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012507974,0.00012707742,0.60643494,0.0031429594,0.00016928905,5.3139894e-7,0.0040814765,0.014573002,0.0005326683,0.00011112201,0.0028093935,0.36676672],"study_design_scores_gemma":[0.028817382,0.0013966555,0.76402646,0.011199145,0.0008169878,2.1812467e-7,0.008389445,0.10573975,0.026117302,0.00019163157,0.053055465,0.0002495376],"about_ca_topic_score_codex":0.0019037582,"about_ca_topic_score_gemma":0.002530109,"teacher_disagreement_score":0.3665172,"about_ca_system_score_codex":0.0005548119,"about_ca_system_score_gemma":0.0006918871,"threshold_uncertainty_score":0.4362012},"labels":[],"label_agreement":null},{"id":"W7148389675","doi":"10.2196/78005","title":"AI-Enhanced Predictive Analytics to Optimize Tele-oncology Implementation in Rural Settings: A Scoping Review (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Predictive analytics; Field (mathematics); Analytics; Big data; Data analysis; Data collection","score_opus":0.010563244280421909,"score_gpt":0.4356242913540954,"score_spread":0.4250610470736735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7148389675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43223178,0.032560617,0.11599858,0.37513462,0.0020069245,0.022084722,0.000036233327,0.0004599199,0.019486617],"genre_scores_gemma":[0.80568004,0.017075013,0.010438362,0.16094448,0.00047796013,0.0043033143,0.00006859258,0.000055623732,0.00095664576],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99871075,0.00007249315,0.00046139173,0.00029125228,0.0001799077,0.00028417702],"domain_scores_gemma":[0.9993771,0.000088106135,0.0001095652,0.0001984251,0.000113590984,0.00011321524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046484635,0.000129479,0.00046384148,0.00018153767,0.000045526966,0.000015839998,0.00009912426,0.000058847345,0.0004073099],"category_scores_gemma":[0.0002982628,0.000118440876,0.00007127117,0.00052965013,0.00003914189,0.000065191976,0.0000868184,0.00041589284,0.000009029285],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062810816,0.00023455251,0.06541255,0.012636244,0.00030573932,0.00006409431,0.0030607018,0.0069940216,0.007556072,0.00016493764,0.06911862,0.83382434],"study_design_scores_gemma":[0.024855284,0.0018865408,0.123040855,0.66613144,0.0013473174,0.00007532394,0.0066165836,0.10098708,0.009291514,0.0006196253,0.06363197,0.0015164991],"about_ca_topic_score_codex":0.000218505,"about_ca_topic_score_gemma":0.00012217235,"teacher_disagreement_score":0.8323079,"about_ca_system_score_codex":0.0005894155,"about_ca_system_score_gemma":0.0006124714,"threshold_uncertainty_score":0.48298788},"labels":[],"label_agreement":null},{"id":"W7154953918","doi":"10.2196/87232","title":"Quality of Life, Symptom Burden, and Associated Factors Among Lung Cancer Patients: A Cross-Sectional Study at Two Teaching Hospitals Across Sub-Saharan Africa (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lung cancer; Quality (philosophy); Epidemiology; Cancer; Population; MEDLINE","score_opus":0.019019553543058156,"score_gpt":0.376221659638509,"score_spread":0.35720210609545083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7154953918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99341923,0.0025012873,0.000006919439,0.00008191254,0.0010348196,0.0016832867,0.0005521581,0.000099493904,0.00062087044],"genre_scores_gemma":[0.99692225,0.0001245655,0.0000011472914,0.000092647904,0.00018350923,0.00080885476,0.000046689074,0.000033203036,0.0017871294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972477,0.000209723,0.0007575978,0.0006727566,0.0006678718,0.00044438054],"domain_scores_gemma":[0.9983389,0.0002140112,0.00039643617,0.0003779326,0.0004794954,0.0001932409],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006577565,0.00030449548,0.0006890653,0.00010613213,0.000334338,0.00008228086,0.00016057916,0.00017475251,0.00024181386],"category_scores_gemma":[0.00032825157,0.00027554095,0.00020753458,0.00035220492,0.00018258183,0.0001835337,0.00026970688,0.00045738433,0.0000010691273],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045142777,0.00032472433,0.9836704,0.00027856213,0.00066856114,0.0000014075841,0.012300005,0.000057778212,0.00045308803,0.000006758309,0.00083382527,0.00095342833],"study_design_scores_gemma":[0.0042506834,0.00012869843,0.99295396,0.000297496,0.0000843874,8.406327e-8,0.0011228967,0.000050305654,0.0002689227,0.000009202826,0.000577596,0.00025578664],"about_ca_topic_score_codex":0.045698147,"about_ca_topic_score_gemma":0.04051183,"teacher_disagreement_score":0.011177109,"about_ca_system_score_codex":0.0013123213,"about_ca_system_score_gemma":0.00026240674,"threshold_uncertainty_score":0.99996966},"labels":[],"label_agreement":null},{"id":"W7161708281","doi":"10.2196/87275","title":"Predicting Overall Survival in Patients with Multiple Primary Lung Cancer: Nomogram Development and Validation Study (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nomogram; Overall survival; Lung; Survival analysis; Prognostic model; Proportional hazards model","score_opus":0.009124873093564585,"score_gpt":0.2956076636006425,"score_spread":0.2864827905070779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161708281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99559313,0.00049350644,0.000010352738,0.00023261338,0.00020324388,0.002968684,0.000012249761,0.00004420223,0.00044201565],"genre_scores_gemma":[0.99614376,0.000090218164,0.00017291834,0.00016281563,0.00004155764,0.0031304103,0.000036190668,0.000016409327,0.00020574292],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883187,0.00003103724,0.00025334847,0.00040548583,0.0002725519,0.00020573531],"domain_scores_gemma":[0.9995282,0.000049052625,0.00007925059,0.00018537931,0.00009389097,0.00006417601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010746886,0.00016550836,0.0002859429,0.00010227552,0.00007072398,0.00002630897,0.000044146193,0.000042921565,0.000034993405],"category_scores_gemma":[0.000009725087,0.00012906788,0.000021376796,0.00018266533,0.000018290453,0.00008686759,0.00007008559,0.00011889282,6.146329e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055095425,0.001284275,0.96436685,0.00027390293,0.00032005983,0.0000059766,0.0015199472,0.00015188046,0.000004988594,0.0000034798286,0.00013834368,0.031379323],"study_design_scores_gemma":[0.010377803,0.00019602668,0.98715323,0.00083062827,0.00011687547,1.1656624e-7,0.00011631356,0.00013521119,0.00026518188,0.0000011817907,0.00068701897,0.00012043582],"about_ca_topic_score_codex":0.0021736233,"about_ca_topic_score_gemma":0.0036315215,"teacher_disagreement_score":0.03125889,"about_ca_system_score_codex":0.0014447364,"about_ca_system_score_gemma":0.00037412345,"threshold_uncertainty_score":0.52632356},"labels":[],"label_agreement":null},{"id":"W7165147484","doi":"10.2196/89918","title":"Factors Associated with Use of the LETSGO mHealth App in Routine Follow-Up After Gynecologic Cancer Treatment: An Observational Study (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Observational study; Gynecologic cancer; mHealth; Cervical cancer; Telemedicine; Cancer","score_opus":0.27497673735211897,"score_gpt":0.4880599777530925,"score_spread":0.21308324040097354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7165147484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98429525,0.00020101952,0.000011843394,0.0026559092,0.0005870316,0.011650391,0.0003004162,0.000073499265,0.00022465823],"genre_scores_gemma":[0.91677547,0.0001473522,0.000014193745,0.0028386174,0.00005964163,0.07613594,0.000050822284,0.000023252758,0.003954743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968783,0.0007745052,0.0008886075,0.00051637547,0.00027944313,0.0006627478],"domain_scores_gemma":[0.9974947,0.000812455,0.0005458161,0.00065469055,0.00030301546,0.00018935259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045867194,0.00025234572,0.0005133429,0.00013363405,0.00054250506,0.000008287868,0.00021865674,0.00021786262,0.0006412632],"category_scores_gemma":[0.00018116133,0.0001530303,0.00006815437,0.0009789196,0.000069121015,0.00014834433,0.00008646033,0.0005090747,0.0000042785045],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002899885,0.00084859016,0.99063647,0.00014485336,0.0000554226,4.0952236e-7,0.003006255,0.0002216038,0.0000069753314,0.0003470233,0.0008770334,0.00356536],"study_design_scores_gemma":[0.0032636044,0.00021740611,0.98174286,0.00030625414,0.000051738843,1.4791845e-8,0.0011311584,0.00013215104,0.000007406789,0.00007335914,0.012961687,0.00011237366],"about_ca_topic_score_codex":0.022431822,"about_ca_topic_score_gemma":0.33218545,"teacher_disagreement_score":0.30975363,"about_ca_system_score_codex":0.0022560586,"about_ca_system_score_gemma":0.004090632,"threshold_uncertainty_score":0.9840779},"labels":[],"label_agreement":null}]}