{"meta":{"query_hash":"62d766afeb23","filters":{"venue":"JMIR Diabetes"},"cohort_total":342,"direct_labels_cover":0,"predictions_cover":342,"exported":342,"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/62d766afeb23","api":"https://metacan.xera.ac/api/v1/cohort?venue=JMIR+Diabetes"},"results":[{"id":"W2476559904","doi":"10.2196/diabetes.4475","title":"Information and Communication Technology-Powered Diabetes Self-Management Systems in China: A Study Evaluating the Features and Requirements of Apps and Patents","year":2016,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Merge (version control); Information and Communications Technology; Computer science; China; European union; Business; Internet privacy; Risk analysis (engineering); World Wide Web; Political science","score_opus":0.029647967668635873,"score_gpt":0.3919751698027951,"score_spread":0.36232720213415925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2476559904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980738,0.00044040245,0.000070453665,0.00010497196,0.0000034164318,0.000049302835,0.00026976812,0.000006257951,0.0009815495],"genre_scores_gemma":[0.9977449,0.0008082245,0.00016814742,0.00006970032,0.000009747532,0.000048454633,0.00044016977,0.000005144349,0.00070551154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99801815,0.00018571569,0.00039760114,0.0002183496,0.0009150946,0.00026504465],"domain_scores_gemma":[0.99294066,0.0025171828,0.0022719044,0.00022717775,0.0014810758,0.0005620093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023166875,0.00030726637,0.00044135176,0.00343797,0.00081401324,0.0015309623,0.0005594141,0.0005486876,0.0021619124],"category_scores_gemma":[0.008608318,0.00021428641,0.00065843255,0.0040489906,0.000542316,0.0019338746,0.00077232294,0.0003614453,0.00040873064],"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":[0.00026538104,0.00034846572,0.9293125,0.0008525938,0.00007975147,0.002177236,0.008202424,0.00030935835,0.0016729113,0.00061009906,0.001446549,0.05472263],"study_design_scores_gemma":[0.000013234128,0.00036252037,0.98940617,0.00012277288,0.00009553968,0.0007203177,0.0043829135,0.0011653455,0.00047729112,0.000093165465,0.0031333924,0.000027382996],"about_ca_topic_score_codex":0.015303867,"about_ca_topic_score_gemma":0.010512046,"teacher_disagreement_score":0.015303867,"about_ca_system_score_codex":0.0018281344,"about_ca_system_score_gemma":0.0031852499,"threshold_uncertainty_score":0.030429602},"labels":[],"label_agreement":null},{"id":"W2508198244","doi":"10.2196/diabetes.5848","title":"Evaluating the Accuracy of Google Translate for Diabetes Education Material","year":2016,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"College of Education and Human Development, Texas A and M University","keywords":"Interpreter; Health literacy; Limited English proficiency; Literacy; Medical education; Population; Computer science; Medicine; Psychology; Political science; Health care; Pedagogy; Environmental health","score_opus":0.11453890614146772,"score_gpt":0.5294173230628719,"score_spread":0.4148784169214042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2508198244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98015743,0.0013581901,0.0045214496,0.00062561914,0.00029269236,0.0012002691,0.0027378874,0.0014576728,0.0076486957],"genre_scores_gemma":[0.9660935,0.0009777354,0.023622693,0.0004715384,0.00015771888,0.00072028395,0.0048028002,0.00054566655,0.0026082208],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.98298657,0.00876293,0.0026593828,0.0012316221,0.00399499,0.00036454588],"domain_scores_gemma":[0.82744837,0.12435138,0.0076779015,0.0068823183,0.032334823,0.0013051941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01657623,0.0009673145,0.000925914,0.0026847431,0.00081440265,0.0021715735,0.001007796,0.0011841,0.0023085054],"category_scores_gemma":[0.13915247,0.0003545996,0.001126876,0.0016540241,0.0009430081,0.002317601,0.0015635289,0.00062653,0.002715693],"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":[0.019048205,0.003427481,0.3109127,0.012798279,0.0012048295,0.0023528892,0.036457684,0.007951918,0.02293417,0.0010955812,0.036597382,0.5452189],"study_design_scores_gemma":[0.0018664006,0.018566446,0.6862508,0.0045534973,0.0033950303,0.0046066563,0.02297876,0.12862831,0.06784554,0.0019682369,0.058167376,0.0011728794],"about_ca_topic_score_codex":0.0077774744,"about_ca_topic_score_gemma":0.009699375,"teacher_disagreement_score":0.01657623,"about_ca_system_score_codex":0.0009286396,"about_ca_system_score_gemma":0.0010560956,"threshold_uncertainty_score":0.087664545},"labels":[],"label_agreement":null},{"id":"W2515113561","doi":"10.2196/diabetes.4506","title":"Data Mining of a Remote Behavioral Tracking System for Type 2 Diabetes Patients: A Prospective Cohort Study","year":2016,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"Cancer Care Ontario; Public Health Ontario; University of Toronto; York University","funders":"","keywords":"Tracking (education); Diabetes mellitus; Prospective cohort study; Type 2 Diabetes Mellitus; Medicine; Software; Type 2 diabetes; Computer science; Cohort; Digital health; Health care; Psychology; Internal medicine","score_opus":0.10625316277220329,"score_gpt":0.4588305153512913,"score_spread":0.35257735257908807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2515113561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99879444,0.00007096873,0.00029613313,0.0000393727,0.000007009895,0.0000557799,0.0006116466,0.000005755414,0.000118772405],"genre_scores_gemma":[0.99768925,0.00009020387,0.00075810007,0.000054034877,0.000009966824,0.00009325115,0.0010584082,0.000006813345,0.00023999416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99803525,0.0006839546,0.00022556323,0.0005559852,0.0003334082,0.00016586135],"domain_scores_gemma":[0.99474007,0.001408584,0.0012644902,0.0012345248,0.0008168313,0.00053562317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004197701,0.00044987837,0.00061832694,0.0008335035,0.0010511056,0.001274929,0.0007852322,0.00086949,0.0012347572],"category_scores_gemma":[0.0078948075,0.0005698851,0.0013738549,0.0012505793,0.00027187116,0.0006413724,0.0006778577,0.001497814,0.0003724127],"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":[0.00050402567,0.00044756546,0.9965198,0.000016567117,0.00024431004,0.00010543468,0.00018612786,0.00006302502,0.00020070786,0.00001688537,0.00018993598,0.0015055236],"study_design_scores_gemma":[0.00009152237,0.0007458076,0.9963781,0.000014694836,0.00021588964,0.00030462572,0.0004876085,0.0013023822,0.0001428031,0.000035906807,0.0002652228,0.000015450543],"about_ca_topic_score_codex":0.013052442,"about_ca_topic_score_gemma":0.01185797,"teacher_disagreement_score":0.013052442,"about_ca_system_score_codex":0.00055948447,"about_ca_system_score_gemma":0.0009771916,"threshold_uncertainty_score":0.025952935},"labels":[],"label_agreement":null},{"id":"W2554930265","doi":"10.2196/diabetes.6256","title":"Use of Social Media in the Diabetes Community: An Exploratory Analysis of Diabetes-Related Tweets","year":2016,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Social Media in Health Education","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":"","keywords":"Social media; Diabetes mellitus; Exploratory analysis; Disease; Online community; Exploratory research; Internet privacy; Medicine; Sociology; World Wide Web; Data science; Computer science; Internal medicine; Social science","score_opus":0.1445990947720819,"score_gpt":0.3797839480251884,"score_spread":0.23518485325310648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554930265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942899,0.00009057376,0.00042529154,0.00016050319,0.0000055660907,0.00016691825,0.004227116,0.000017315955,0.0006168345],"genre_scores_gemma":[0.98819387,0.00017251934,0.004074129,0.00014629522,0.00002562303,0.00072075124,0.005820879,0.00003097228,0.0008148665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862206,0.00056004873,0.00011176645,0.0001736862,0.00025142106,0.00028100013],"domain_scores_gemma":[0.991994,0.0052594487,0.0012856203,0.00027943045,0.000791415,0.0003900382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019304961,0.00033875296,0.00038208332,0.004224645,0.0012488122,0.0016079588,0.0005240311,0.000494455,0.0011790763],"category_scores_gemma":[0.007803075,0.00024195723,0.0005710106,0.004310435,0.00063528086,0.001850965,0.0022901336,0.0006744273,0.00043545265],"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":[0.0006284386,0.0004439332,0.80128497,0.0009693189,0.00016706198,0.0017634152,0.15172121,0.00048108783,0.006735973,0.0009898058,0.005310141,0.029504552],"study_design_scores_gemma":[0.000034178578,0.00031224696,0.80836964,0.0003265661,0.00012405126,0.0011503906,0.16781512,0.0044360436,0.0024779432,0.00082534604,0.014043111,0.000085312786],"about_ca_topic_score_codex":0.0053696847,"about_ca_topic_score_gemma":0.009409913,"teacher_disagreement_score":0.0053696847,"about_ca_system_score_codex":0.0006498893,"about_ca_system_score_gemma":0.0007574016,"threshold_uncertainty_score":0.010676861},"labels":[],"label_agreement":null},{"id":"W2562353029","doi":"10.2196/diabetes.6450","title":"Widely Viewed English Language YouTube Videos Relating to Diabetic Retinopathy: A Cross-Sectional Study","year":2016,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"","keywords":"Diabetic retinopathy; Upload; The Internet; Medicine; Retinopathy; Service (business); Computer science; Diabetes mellitus; World Wide Web; Business","score_opus":0.0377537658183201,"score_gpt":0.430001016454848,"score_spread":0.3922472506365279,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2562353029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99854565,0.00019036511,0.00005077572,0.000053793046,0.000006134146,0.000048028578,0.0005023641,0.0000013759558,0.0006014326],"genre_scores_gemma":[0.99788314,0.0004303032,0.00017147369,0.00018431281,0.00001735884,0.00011549775,0.0006997778,0.0000044822737,0.00049371686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928254,0.0001641636,0.00009251675,0.00014771675,0.00016972108,0.00014325776],"domain_scores_gemma":[0.99722445,0.0005304247,0.0012213825,0.00008566296,0.00061652344,0.00032161397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012376591,0.00022226479,0.0004074296,0.0015154645,0.00093969534,0.00094016426,0.00036724366,0.00057991396,0.0027175972],"category_scores_gemma":[0.0034863057,0.00054646627,0.00033217395,0.0015911569,0.00036352267,0.0020551893,0.00085714855,0.0007853923,0.00064538687],"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":[0.00005827134,0.00017033207,0.9954912,0.000053524167,0.000019204947,0.0001866106,0.0020614637,0.0000055973865,0.00014282289,0.000021463688,0.00036421535,0.001425353],"study_design_scores_gemma":[0.0000062821127,0.00024321012,0.9878973,0.0000617886,0.000023387047,0.0006046002,0.010423502,0.00007885837,0.000043699754,0.00001805681,0.00058973435,0.000009628738],"about_ca_topic_score_codex":0.008603127,"about_ca_topic_score_gemma":0.014541803,"teacher_disagreement_score":0.008603127,"about_ca_system_score_codex":0.00060305034,"about_ca_system_score_gemma":0.00040794548,"threshold_uncertainty_score":0.017106116},"labels":[],"label_agreement":null},{"id":"W2565216079","doi":"10.2196/diabetes.6662","title":"DiaFit: The Development of a Smart App for Patients with Type 2 Diabetes and Obesity","year":2016,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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 Center for Advancing Translational Sciences","keywords":"Type 2 diabetes; Mobile apps; Obesity; Diabetes mellitus; Self-management; Medicine; Diabetes management; Management of obesity; Internet privacy; Intensive care medicine; Computer science; Weight loss; World Wide Web; Internal medicine; Endocrinology","score_opus":0.02235093917382713,"score_gpt":0.3432879167124168,"score_spread":0.3209369775385897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565216079","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4042913,0.0051519633,0.39094242,0.014152215,0.0035626316,0.015320015,0.012104607,0.07023915,0.08423568],"genre_scores_gemma":[0.32542786,0.0031278513,0.601614,0.0068434724,0.0005539851,0.0104722995,0.008408873,0.0029876921,0.040563945],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99918586,0.00029139378,0.00009496382,0.00013920637,0.00019941649,0.00008917641],"domain_scores_gemma":[0.9974687,0.0016040001,0.0001316686,0.0001485181,0.0003105886,0.0003365296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017467886,0.0010101079,0.00031851538,0.0008036087,0.00062971655,0.001035324,0.0012687903,0.0010488124,0.008852265],"category_scores_gemma":[0.0071467534,0.00035278755,0.00089843664,0.00027648432,0.00039750553,0.0013086742,0.0022167852,0.0012183464,0.0028252595],"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":[0.0013711136,0.0018169214,0.02145876,0.0023766865,0.00012272673,0.002299855,0.0069711157,0.0014003862,0.01619945,0.0024456067,0.15168709,0.7918502],"study_design_scores_gemma":[0.001783464,0.0069231754,0.06622829,0.0036953278,0.00067191327,0.016157638,0.0048017716,0.032153476,0.038982067,0.010969526,0.81674045,0.00089296757],"about_ca_topic_score_codex":0.0007936009,"about_ca_topic_score_gemma":0.0013204858,"teacher_disagreement_score":0.008852265,"about_ca_system_score_codex":0.0002475879,"about_ca_system_score_gemma":0.0012153683,"threshold_uncertainty_score":0.029613793},"labels":[],"label_agreement":null},{"id":"W2575679666","doi":"10.2196/diabetes.6916","title":"The Case for Jointly Targeting Diabetes and Depression Among Vulnerable Patients Using Digital Technology","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"National Institute of Mental Health; Agency for Healthcare Research and Quality","keywords":"Leverage (statistics); Workflow; Digital health; Depression (economics); mHealth; Business; Mobile technology; Diabetes mellitus; Medicine; Public relations; Marketing; Mobile device; Health care; Economic growth; Computer science; Nursing; Political science; Economics; Psychological intervention; Management","score_opus":0.02711152184795531,"score_gpt":0.3850327640474674,"score_spread":0.3579212421995121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2575679666","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009555897,0.0054031764,0.004972234,0.9587537,0.0013839264,0.00018366883,0.00006374821,0.00007164759,0.019611938],"genre_scores_gemma":[0.41685122,0.021071618,0.060962074,0.4841949,0.0069606025,0.0023042953,0.00017442495,0.00015698597,0.0073238774],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9574737,0.031628508,0.0013762021,0.002614452,0.003865773,0.0030413955],"domain_scores_gemma":[0.9163936,0.05148312,0.0055726436,0.0064876755,0.005151008,0.014911987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.054770805,0.0008901487,0.0013386804,0.0017919759,0.007900487,0.012239776,0.0032219514,0.014178104,0.015177483],"category_scores_gemma":[0.10835294,0.000885967,0.0026311798,0.0016775756,0.0077997902,0.017078472,0.018315768,0.022454299,0.0025732818],"study_design_candidate":"theoretical_or_conceptual","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":[0.00048992067,0.0013655183,0.09564734,0.0019716697,0.00080409565,0.0029281208,0.020823661,0.00069809257,0.0015205436,0.09205605,0.20818064,0.57351434],"study_design_scores_gemma":[0.0006447728,0.0020938176,0.06958496,0.01603988,0.0012427295,0.00886698,0.05309554,0.0036489347,0.0020066423,0.33886454,0.5034397,0.0004714717],"about_ca_topic_score_codex":0.008465464,"about_ca_topic_score_gemma":0.014481385,"teacher_disagreement_score":0.054770805,"about_ca_system_score_codex":0.0036556185,"about_ca_system_score_gemma":0.019086542,"threshold_uncertainty_score":0.2896592},"labels":[],"label_agreement":null},{"id":"W2581834825","doi":"10.2196/diabetes.6643","title":"Smartphone App Use for Diabetes Management: Evaluating Patient Perspectives","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":45,"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","funders":"Alberta Innovates","keywords":"Usability; Mobile apps; Smartphone app; Internet privacy; Download; Diabetes management; Disease management; Diabetes mellitus; Smartphone application; Chronic disease; Self-management; Health management system; Population; Mobile device; Medicine; App store; Computer science; World Wide Web; Multimedia; Human–computer interaction; Type 2 diabetes; Alternative medicine; Intensive care medicine; Pathology","score_opus":0.08779465643858858,"score_gpt":0.4682666697632926,"score_spread":0.38047201332470404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2581834825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932173,0.0010355023,0.00020982177,0.0008991493,0.000038450893,0.00017037708,0.00042764426,0.000016519158,0.003985308],"genre_scores_gemma":[0.99638224,0.0015215684,0.00073691853,0.00038688272,0.000041411702,0.00016669859,0.00026627563,0.000005935118,0.0004919975],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9955642,0.0023047235,0.0005716752,0.0002187232,0.0009370247,0.00040369364],"domain_scores_gemma":[0.9817554,0.008111323,0.0047217435,0.00023744196,0.0033475119,0.001826554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005722154,0.00034654833,0.00051802024,0.0014536919,0.0010090215,0.0021718678,0.0004325787,0.00071985397,0.0026163717],"category_scores_gemma":[0.022397526,0.00020397021,0.0011365463,0.00087452517,0.0005317689,0.0018544331,0.0020526464,0.0009578404,0.00043242946],"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":[0.0005988114,0.00060942466,0.864887,0.0010055895,0.0002534907,0.0009220419,0.055083904,0.00013924841,0.0006575061,0.00017394983,0.0036435935,0.07202537],"study_design_scores_gemma":[0.00014564698,0.0033651185,0.78974074,0.0010576195,0.00049407035,0.004215076,0.18455093,0.0011993335,0.000694021,0.00023983968,0.014107538,0.00019004552],"about_ca_topic_score_codex":0.0016026145,"about_ca_topic_score_gemma":0.002811614,"teacher_disagreement_score":0.005722154,"about_ca_system_score_codex":0.0008116942,"about_ca_system_score_gemma":0.0008812409,"threshold_uncertainty_score":0.030261993},"labels":[],"label_agreement":null},{"id":"W2586901322","doi":"10.2196/diabetes.6667","title":"Mixed-Methods Research in Diabetes Management via Mobile Health Technologies: A Scoping Review","year":2017,"lang":"en","type":"review","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"University of Victoria","funders":"","keywords":"Diabetes management; Diabetes mellitus; Computer science; Medicine; Data science; Type 2 diabetes","score_opus":0.3820928975054551,"score_gpt":0.6625803524410488,"score_spread":0.28048745493559374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586901322","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005395666,0.98934245,0.0036138955,0.0011308459,0.00057646935,0.0030610245,0.00014030044,0.000019609248,0.0015757909],"genre_scores_gemma":[0.0062350784,0.9729355,0.011777521,0.0007688031,0.00024533083,0.0075977496,0.00018020104,0.00001636844,0.00024352316],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9033405,0.05576194,0.023691151,0.0031496543,0.012993812,0.001062911],"domain_scores_gemma":[0.71593106,0.24330188,0.0135975275,0.0051012025,0.021038467,0.0010298758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09304203,0.0026504225,0.009006161,0.03545188,0.0037358832,0.012298382,0.004271024,0.006499511,0.004662482],"category_scores_gemma":[0.22774039,0.0019974797,0.008224227,0.033567216,0.0038747557,0.009522927,0.006960848,0.003624331,0.0010573878],"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":[0.00011020002,0.000108091015,0.00079173787,0.6414561,0.0023409498,0.00020290253,0.002947865,0.0004206699,0.00024149011,0.006261857,0.003566698,0.34155142],"study_design_scores_gemma":[0.000039057235,0.000118486045,0.0006371323,0.96051544,0.0030054874,0.00017393663,0.0013127198,0.00019785156,0.0001787135,0.0022216113,0.03156623,0.00003335999],"about_ca_topic_score_codex":0.007969388,"about_ca_topic_score_gemma":0.014806685,"teacher_disagreement_score":0.09304203,"about_ca_system_score_codex":0.01078359,"about_ca_system_score_gemma":0.04143366,"threshold_uncertainty_score":0.49205917},"labels":[],"label_agreement":null},{"id":"W2588196815","doi":"10.2196/diabetes.7221","title":"The Use of Mobile Health to Deliver Self-Management Support to Young People With Type 1 Diabetes: A Cross-Sectional Survey","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"","keywords":"Glycemic; mHealth; Psychological intervention; Medicine; Diabetes management; Self-management; Gerontology; Type 2 diabetes; Mobile phone; Population; Young adult; Diabetes mellitus; Cross-sectional study; Nursing; Environmental health; Computer science","score_opus":0.06882906490936373,"score_gpt":0.4275595723913964,"score_spread":0.35873050748203267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588196815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99826413,0.00027048943,0.00003977687,0.00008723029,0.000005003787,0.0000893126,0.00069086946,0.0000023501782,0.00055088324],"genre_scores_gemma":[0.9985172,0.0004928626,0.00015356299,0.00018303099,0.0000051744883,0.0001149798,0.0003161382,0.000001422367,0.000215713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991223,0.0001957907,0.00021213778,0.0000965589,0.00023256552,0.00014059103],"domain_scores_gemma":[0.99769187,0.00042349097,0.0011233134,0.00006858702,0.00028860988,0.00040411678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015258829,0.00014900035,0.00033423142,0.00093829347,0.0006223604,0.00085744023,0.00032357557,0.00056873035,0.0014365995],"category_scores_gemma":[0.0033658654,0.00038439324,0.0004691037,0.0010348773,0.00026485402,0.00089583325,0.00081083726,0.00063936657,0.00036834026],"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":[0.000021016185,0.000084336156,0.99449944,0.000111211564,0.000022943961,0.00008587153,0.0022967486,0.000009243405,0.00012117717,0.000011172453,0.00017431931,0.0025625343],"study_design_scores_gemma":[0.000004874157,0.00022195283,0.99278426,0.000081623235,0.000018762961,0.00023190222,0.0061423453,0.00004376817,0.00003526803,0.0000056684066,0.00042525827,0.00000438556],"about_ca_topic_score_codex":0.017510714,"about_ca_topic_score_gemma":0.029692804,"teacher_disagreement_score":0.017510714,"about_ca_system_score_codex":0.00059303,"about_ca_system_score_gemma":0.0007241722,"threshold_uncertainty_score":0.034817576},"labels":[],"label_agreement":null},{"id":"W2593555386","doi":"10.2196/diabetes.6981","title":"A Novel Intervention Including Individualized Nutritional Recommendations Reduces Hemoglobin A1c Level, Medication Use, and Weight in Type 2 Diabetes","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diet and metabolism studies","field":"Medicine","cited_by":182,"is_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":"Type 2 diabetes; Medicine; Hemoglobin; Intervention (counseling); Diabetes mellitus; Intensive care medicine; Internal medicine; Endocrinology; Nursing","score_opus":0.10022130282666232,"score_gpt":0.3618643171692683,"score_spread":0.261643014342606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593555386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99741626,0.00036606504,0.0004559567,0.0002577454,0.000048422877,0.00016065984,0.000055132157,0.000050250994,0.0011895489],"genre_scores_gemma":[0.99075794,0.00067343644,0.006170716,0.00035895375,0.000080706115,0.00039997263,0.00013924687,0.000005532504,0.001413517],"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9998623,0.000049070848,0.000011325573,0.000026736614,0.0000279903,0.000022484017],"domain_scores_gemma":[0.9998078,0.00004984516,0.000048154914,0.000009507419,0.000011103052,0.00007371591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003041606,0.00030645306,0.0003224697,0.0002058256,0.00023217888,0.00022359345,0.00038820488,0.00037317115,0.0042170035],"category_scores_gemma":[0.00072032056,0.00010804266,0.00033906283,0.00011837525,0.00013426872,0.00021857859,0.00038411008,0.0005864313,0.00018644519],"study_design_candidate":"nonrandomized_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":[0.039734486,0.20287034,0.034889493,0.002100172,0.0008557309,0.00027218251,0.0005356434,0.0017676874,0.020709543,0.00039705713,0.0033344796,0.69253325],"study_design_scores_gemma":[0.051705554,0.3208602,0.58247775,0.0010097945,0.0029121202,0.0008754242,0.0009456421,0.012518061,0.01599421,0.0009055937,0.009700742,0.00009486825],"about_ca_topic_score_codex":0.0012781773,"about_ca_topic_score_gemma":0.0028807535,"teacher_disagreement_score":0.0042170035,"about_ca_system_score_codex":0.00024188458,"about_ca_system_score_gemma":0.00040988717,"threshold_uncertainty_score":0.014107287},"labels":[],"label_agreement":null},{"id":"W2604754271","doi":"10.2196/diabetes.6930","title":"How’s Your Sugar? Evaluation of a Website for Aboriginal People With Diabetes","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Indigenous Health, Education, and Rights","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":"Sugar; Diabetes mellitus; Advertising; Psychology; Food science; Medicine; Internet privacy; Business; Biology; Computer science; Endocrinology","score_opus":0.027596298271911842,"score_gpt":0.36446053685071883,"score_spread":0.336864238578807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604754271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9736211,0.00092791056,0.0015225679,0.0025221927,0.00022386243,0.0062465835,0.0003303409,0.00016106854,0.014444462],"genre_scores_gemma":[0.9617238,0.002018338,0.022772918,0.0013465317,0.00012328019,0.0071042245,0.0005122239,0.00004619609,0.0043526073],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9945761,0.0038035708,0.0003000894,0.00009823524,0.00085033476,0.0003716496],"domain_scores_gemma":[0.98877627,0.004883914,0.00073733256,0.00035802543,0.0028962763,0.0023480924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011657361,0.0004511201,0.00053015264,0.0006584197,0.0014330414,0.0018127235,0.0008441926,0.0008038691,0.0039384924],"category_scores_gemma":[0.016243823,0.00017574723,0.0011426689,0.00048844947,0.0006271101,0.0010877402,0.0017830771,0.00127133,0.00043200614],"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":[0.005157689,0.041192107,0.044880684,0.013585403,0.00037964134,0.0018441202,0.060856048,0.0015612452,0.0043788543,0.0015107364,0.019991184,0.8046622],"study_design_scores_gemma":[0.0077702124,0.19083719,0.34180823,0.014220618,0.0036760513,0.00258242,0.18642375,0.012499446,0.016163366,0.0027201287,0.22058491,0.00071366],"about_ca_topic_score_codex":0.004784161,"about_ca_topic_score_gemma":0.0116832,"teacher_disagreement_score":0.99521583,"about_ca_system_score_codex":0.001959828,"about_ca_system_score_gemma":0.0052938615,"threshold_uncertainty_score":0.061650753},"labels":[],"label_agreement":null},{"id":"W2611272196","doi":"10.2196/diabetes.7535","title":"Situation of Diabetes and Related Factors Among Qatari Adults: Findings From a Community-Based Survey","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","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":"","keywords":"Obesity; Public health; Diabetes mellitus; Environmental health; Medicine; Gerontology; Pathology; Endocrinology","score_opus":0.021959091556765484,"score_gpt":0.25815300530953716,"score_spread":0.23619391375277168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611272196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980939,0.00014575207,0.000049922462,0.00021037273,0.0000036256222,0.000028942326,0.0012236886,0.0000018021644,0.00024210567],"genre_scores_gemma":[0.99857616,0.00018138038,0.00014712241,0.0001602358,0.000007646726,0.00003352727,0.00074454874,6.011685e-7,0.00014880001],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996147,0.00011239129,0.000049221686,0.0000690924,0.000083753184,0.00007079397],"domain_scores_gemma":[0.9991328,0.000112281086,0.00033781465,0.00004037246,0.000230501,0.00014625386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009486308,0.00020637584,0.00024957044,0.0006735258,0.0006808862,0.00039027206,0.00030766006,0.0005419261,0.0012979617],"category_scores_gemma":[0.0015378132,0.00023513492,0.00034264376,0.0009983054,0.00028006648,0.00047421918,0.0004963325,0.000506543,0.0003052596],"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":[0.00002392724,0.00007762902,0.9969875,0.000037923633,0.000023763505,0.000053201366,0.00078507495,0.00002956181,0.00015420596,0.00001787636,0.00034513714,0.0014641046],"study_design_scores_gemma":[0.00000460969,0.000098703626,0.9979468,0.00002185743,0.000013038331,0.000090771486,0.0015038217,0.00010498733,0.000020916303,0.000013048258,0.00017704611,0.000004418142],"about_ca_topic_score_codex":0.031926587,"about_ca_topic_score_gemma":0.045961298,"teacher_disagreement_score":0.031926587,"about_ca_system_score_codex":0.0006797208,"about_ca_system_score_gemma":0.0008123403,"threshold_uncertainty_score":0.06348145},"labels":[],"label_agreement":null},{"id":"W2623320983","doi":"10.2196/diabetes.7063","title":"Phone Messaging to Prompt Physical Activity and Social Support Among Low-Income Latino Patients With Type 2 Diabetes: A Randomized Pilot Study","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"National Institute on Minority Health and Health Disparities; National Institute of Neurological Disorders and Stroke; University of Southern California","keywords":"Psychological intervention; Social support; Intervention (counseling); Phone; Type 2 diabetes; Receipt; Population; Medicine; Mobile phone; Psychology; Behavior change; Short Message Service; Randomized controlled trial; Gerontology; Family medicine; Diabetes mellitus; Nursing; Social psychology; Environmental health","score_opus":0.028081221979082555,"score_gpt":0.3861262813770196,"score_spread":0.35804505939793707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2623320983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854718,0.0005601434,0.00039664278,0.00023695671,0.00019708481,0.012151393,0.00023590394,0.000050948718,0.00069905794],"genre_scores_gemma":[0.97314644,0.0007926618,0.0021660903,0.0005405602,0.00030737428,0.021909568,0.00016830408,0.000010037342,0.0009589663],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99833786,0.0010097076,0.00016324021,0.00018090477,0.00009547669,0.00021279394],"domain_scores_gemma":[0.9971119,0.0014464282,0.0005071958,0.00017908771,0.00018962065,0.0005657082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002594954,0.00103095,0.0014167454,0.0006289671,0.00070011336,0.00097284606,0.0008436518,0.0015433456,0.008995753],"category_scores_gemma":[0.004258091,0.000548492,0.001449785,0.0005000662,0.00081433955,0.0010693708,0.0007037461,0.0015792638,0.00063808786],"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":[0.7000809,0.21622811,0.006499543,0.0018236374,0.0010765927,0.00015052465,0.00073188444,0.0003116444,0.0028635801,0.0000997282,0.0008025757,0.06933134],"study_design_scores_gemma":[0.55504113,0.4353801,0.0075033912,0.00008911202,0.00047483935,0.000024489662,0.00026658818,0.00033653175,0.00032955073,0.0000758586,0.00046221868,0.000016195958],"about_ca_topic_score_codex":0.002109718,"about_ca_topic_score_gemma":0.002957228,"teacher_disagreement_score":0.008995753,"about_ca_system_score_codex":0.0007253001,"about_ca_system_score_gemma":0.0018718819,"threshold_uncertainty_score":0.03009373},"labels":[],"label_agreement":null},{"id":"W2624261969","doi":"10.2196/diabetes.7693","title":"Impact of Facebook on Glucose Control in Type 1 Diabetes: A Three-Year Cohort Study","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"Psychological intervention; Medicine; The Internet; Cohort; Social media; Upload; Health care; Diabetes mellitus; Glycated hemoglobin; Family medicine; Type 2 diabetes; Nursing; Internal medicine; World Wide Web; Computer science","score_opus":0.041503097521516506,"score_gpt":0.44329172015017976,"score_spread":0.4017886226286633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624261969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99947804,0.000080934085,0.000026322929,0.000025894942,0.0000072467005,0.000035727146,0.00013941518,0.0000013191282,0.00020506057],"genre_scores_gemma":[0.99924845,0.000109300265,0.000057818925,0.000041005977,0.000010744559,0.00004795424,0.00021210163,0.0000015422099,0.00027109514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932396,0.00020174404,0.00005876531,0.00011138294,0.00014208566,0.00016203045],"domain_scores_gemma":[0.99871075,0.00015160846,0.0003531821,0.00012252781,0.00019178049,0.00047006595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011417598,0.00038699826,0.0005151353,0.00077913847,0.001239963,0.0008802254,0.0003912018,0.0009732354,0.0017142557],"category_scores_gemma":[0.0015627377,0.0004793406,0.0012217148,0.00090191665,0.0003006622,0.00081763865,0.00065733376,0.0012508472,0.00043364143],"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":[0.0006725591,0.0009318766,0.9964078,0.000012510254,0.00010491353,0.00009755756,0.0003939369,0.0000148917425,0.00012386535,0.00000786994,0.000085653,0.001146616],"study_design_scores_gemma":[0.00004067766,0.0009901462,0.99799585,0.000007036856,0.0000707907,0.00006793418,0.0005809433,0.000070402224,0.000033675144,0.0000074520326,0.00012794454,0.000007218984],"about_ca_topic_score_codex":0.010300301,"about_ca_topic_score_gemma":0.01070004,"teacher_disagreement_score":0.010300301,"about_ca_system_score_codex":0.0004556704,"about_ca_system_score_gemma":0.0004518683,"threshold_uncertainty_score":0.020480692},"labels":[],"label_agreement":null},{"id":"W2695065196","doi":"10.2196/diabetes.6884","title":"Telemonitoring and Health Counseling for Self-Management Support of Patients With Type 2 Diabetes: A Randomized Controlled Trial","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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":"Norrbottens Läns Landsting; Luleå Tekniska Universitet","keywords":"Medicine; Glycated hemoglobin; Randomized controlled trial; Type 2 diabetes; Body mass index; Physical therapy; Diabetes mellitus; Blood pressure; Quality of life (healthcare); Health care; Self-management; Health promotion; Intervention (counseling); Internal medicine; Nursing; Public health","score_opus":0.012789476230492883,"score_gpt":0.3030274592722035,"score_spread":0.2902379830417106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2695065196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9477438,0.025590483,0.0012146073,0.0017948713,0.0028827041,0.01659285,0.0011163682,0.00020822212,0.0028560949],"genre_scores_gemma":[0.9517737,0.010382514,0.0030995307,0.0018543601,0.0017053158,0.028144155,0.000653985,0.000018225317,0.002368298],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9979456,0.0012042198,0.00022223988,0.0002994903,0.0001515043,0.0001768515],"domain_scores_gemma":[0.9982497,0.00075126236,0.00040401318,0.00009980572,0.000108325075,0.00038691057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026503408,0.0013662453,0.0048208283,0.0009218766,0.0007782717,0.0011959979,0.0011476988,0.0030649607,0.010443273],"category_scores_gemma":[0.0040519396,0.000787227,0.003414294,0.00091920374,0.0011279774,0.0011265149,0.00063551945,0.0025910113,0.0006117399],"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":[0.9741759,0.00748036,0.00049327547,0.0026255166,0.0021113534,0.000037502195,0.000046352907,0.00013249395,0.00028226315,0.000076257544,0.00043941147,0.012099303],"study_design_scores_gemma":[0.98429143,0.01396464,0.0006009612,0.000115292474,0.0006604281,0.0000091791835,0.000014375614,0.00013073771,0.00003883001,0.00003530862,0.00013424765,0.000004616671],"about_ca_topic_score_codex":0.0021175526,"about_ca_topic_score_gemma":0.003000562,"teacher_disagreement_score":0.010443273,"about_ca_system_score_codex":0.0009922298,"about_ca_system_score_gemma":0.0017015791,"threshold_uncertainty_score":0.03493619},"labels":[],"label_agreement":null},{"id":"W2725076736","doi":"10.2196/diabetes.7446","title":"Machine or Human? Evaluating the Quality of a Language Translation Mobile App for Diabetes Education Material","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Interpreting and Communication in Healthcare","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":"College of Education and Human Development, Texas A and M University","keywords":"Mobile apps; Computer science; Quality (philosophy); Translation (biology); Machine translation; Diabetes mellitus; Artificial intelligence; World Wide Web; Medicine; Chemistry; Endocrinology; Biochemistry","score_opus":0.17846138697570862,"score_gpt":0.5811876010119537,"score_spread":0.40272621403624503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2725076736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9788336,0.0013038124,0.012155952,0.0006329616,0.00017554814,0.001400775,0.0005111683,0.0004174084,0.004568877],"genre_scores_gemma":[0.9723116,0.0005656035,0.024029687,0.0004390983,0.00007957957,0.00077552476,0.00049366016,0.00015784579,0.0011472563],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.97239053,0.0138261095,0.004548249,0.0019985137,0.006746731,0.0004898251],"domain_scores_gemma":[0.77031153,0.16150573,0.019700646,0.008711371,0.03777227,0.0019983558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.039170127,0.00065798534,0.0007784379,0.0015125984,0.0005862891,0.002754544,0.00072747655,0.001155039,0.0025867585],"category_scores_gemma":[0.17909598,0.00033780545,0.0012716576,0.0009809962,0.0012023303,0.0024751695,0.0013644237,0.0006932688,0.0008677155],"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":[0.015692743,0.0027336536,0.3814338,0.00624098,0.0016622602,0.00067872973,0.030142244,0.0028932618,0.022036329,0.000733447,0.008525411,0.5272272],"study_design_scores_gemma":[0.001796447,0.039307732,0.786715,0.003623977,0.0036422573,0.0023531718,0.019638179,0.054008614,0.0564401,0.002155465,0.029654771,0.0006643173],"about_ca_topic_score_codex":0.001664414,"about_ca_topic_score_gemma":0.002007352,"teacher_disagreement_score":0.039170127,"about_ca_system_score_codex":0.00097264355,"about_ca_system_score_gemma":0.0008761103,"threshold_uncertainty_score":0.20715392},"labels":[],"label_agreement":null},{"id":"W2727418883","doi":"10.2196/diabetes.7430","title":"Web-Based Weight Loss Intervention for Men With Type 2 Diabetes: Pilot Randomized Controlled Trial","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":44,"is_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; Medical Research Council; Newcastle University; National Institute for Health and Care Research","keywords":"Type 2 diabetes; Weight loss; Diabetes mellitus; Obesity; Medicine; Randomized controlled trial; Intervention (counseling); Web application; Population; Gerontology; Public health; Environmental health; Internal medicine; Endocrinology; Computer science; Nursing; World Wide Web","score_opus":0.03287582359830197,"score_gpt":0.40165759293749503,"score_spread":0.36878176933919304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2727418883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8777538,0.0034840321,0.0017183239,0.0013344169,0.0013694356,0.10943134,0.0019471326,0.0003856783,0.0025758394],"genre_scores_gemma":[0.8094714,0.0029167102,0.009091649,0.0020539947,0.0010075925,0.17037407,0.0009263051,0.000037188813,0.004121085],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9976452,0.0013347082,0.00022290858,0.0003035271,0.00021248109,0.0002811097],"domain_scores_gemma":[0.99719393,0.0010244363,0.0005644436,0.00024153007,0.0002791769,0.0006964991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00449835,0.0017982713,0.0036296558,0.0008429684,0.0009888051,0.0014055751,0.0014114643,0.0027984444,0.011121898],"category_scores_gemma":[0.006431551,0.0009346045,0.0026042773,0.00085370924,0.0015715514,0.0016398669,0.0012283238,0.0027309875,0.001153709],"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":[0.9466291,0.033086836,0.0007250027,0.0020742498,0.0011470974,0.000075662094,0.00018202013,0.00022644694,0.00080265757,0.00008523849,0.00065385015,0.014311813],"study_design_scores_gemma":[0.946931,0.05104693,0.0012220899,0.000060015474,0.00025705757,0.0000106444095,0.000033744607,0.00012483571,0.00007050219,0.00004337433,0.00019443827,0.0000053211475],"about_ca_topic_score_codex":0.0024736866,"about_ca_topic_score_gemma":0.004328659,"teacher_disagreement_score":0.011121898,"about_ca_system_score_codex":0.00092678383,"about_ca_system_score_gemma":0.0027294597,"threshold_uncertainty_score":0.03720647},"labels":[],"label_agreement":null},{"id":"W2735039226","doi":"10.2196/diabetes.6468","title":"iOS Appstore-Based Phone Apps for Diabetes Management: Potential for Use in Medication Adherence","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"Diabetes management; Diabetes mellitus; Computer science; Password; World Wide Web; Medicine; Internet privacy; Multimedia; Type 2 diabetes; Computer security","score_opus":0.05700636860039768,"score_gpt":0.4146312127937089,"score_spread":0.3576248441933112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735039226","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32695088,0.4538881,0.021723129,0.029602118,0.0023166903,0.0030625027,0.008185559,0.0027252338,0.15154584],"genre_scores_gemma":[0.684264,0.20516647,0.06846148,0.015507038,0.002641942,0.0023835022,0.0045109787,0.0004912573,0.016573383],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9942433,0.002318026,0.00073841884,0.00032297577,0.0021707455,0.00020651415],"domain_scores_gemma":[0.94257444,0.044848848,0.005349974,0.0012367704,0.005210128,0.00077990536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068297586,0.0005386434,0.0006409083,0.0033725759,0.00055629667,0.0028180787,0.00063424127,0.0012631478,0.009324418],"category_scores_gemma":[0.044473644,0.00033743662,0.0015610802,0.0017207183,0.00051576714,0.0028021606,0.0014953926,0.0010462363,0.0022210756],"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":[0.0006111154,0.00036208527,0.041641675,0.010695763,0.00032732278,0.00045899994,0.0021992803,0.00014318913,0.0026288473,0.001379399,0.023513954,0.9160384],"study_design_scores_gemma":[0.00046183725,0.0050289794,0.30311513,0.061204903,0.003756802,0.0125373695,0.0056025772,0.0044160304,0.012024452,0.007882917,0.58352625,0.00044274726],"about_ca_topic_score_codex":0.001172775,"about_ca_topic_score_gemma":0.002390424,"teacher_disagreement_score":0.009324418,"about_ca_system_score_codex":0.0004241762,"about_ca_system_score_gemma":0.0012478937,"threshold_uncertainty_score":0.03611964},"labels":[],"label_agreement":null},{"id":"W2735296243","doi":"10.2196/diabetes.7473","title":"Assessing Diabetes-Relevant Data Provided by Undergraduate and Crowdsourced Web-Based Survey Participants for Honesty and Accuracy","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","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":"Honesty; Ethnic group; Data science; Psychology; Quality (philosophy); Medical education; Computer science; Applied psychology; Internet privacy; Medicine; Social psychology; Political science","score_opus":0.07450125226706915,"score_gpt":0.3429417888322715,"score_spread":0.26844053656520234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735296243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74937266,0.0014415957,0.10582145,0.008897568,0.0012685243,0.021029394,0.05129625,0.0020884415,0.058784116],"genre_scores_gemma":[0.8743956,0.0003944772,0.07878484,0.0028656805,0.00024431778,0.028014658,0.010228384,0.0002520682,0.004819834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9177911,0.04126755,0.012125083,0.0060122563,0.021216294,0.0015877505],"domain_scores_gemma":[0.77409554,0.09018305,0.03010509,0.03126139,0.07224151,0.0021134315],"candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.05659518,0.0008267786,0.000686436,0.003886732,0.0025263678,0.0027586021,0.0015204439,0.001456303,0.00674761],"category_scores_gemma":[0.22882582,0.00041607843,0.0010794151,0.0024142002,0.0012610849,0.0017593513,0.0039195213,0.0011635221,0.0031468032],"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":[0.0017628912,0.0010786743,0.5317149,0.0032102335,0.00055427995,0.00042050655,0.043930963,0.0016351087,0.01152646,0.0035685562,0.05959334,0.3410041],"study_design_scores_gemma":[0.00071036204,0.0012685119,0.72142494,0.004986714,0.00048128687,0.0005826132,0.029291606,0.024220852,0.02216592,0.013848996,0.18055354,0.0004646256],"about_ca_topic_score_codex":0.004942807,"about_ca_topic_score_gemma":0.006558024,"teacher_disagreement_score":0.9985437,"about_ca_system_score_codex":0.0012199979,"about_ca_system_score_gemma":0.0036403113,"threshold_uncertainty_score":0.29930747},"labels":[],"label_agreement":null},{"id":"W2736218151","doi":"10.2196/diabetes.6751","title":"Addressing Disparities in Diabetes Management Through Novel Approaches to Encourage Technology Adoption and Use","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"","keywords":"Health care; Patient portal; Business; Health equity; Gateway (web page); Ethnic group; Health information technology; Internet privacy; Medicine; Public relations; Nursing; Political science; Economic growth; Computer science; World Wide Web; Economics","score_opus":0.2956192328226311,"score_gpt":0.4326197186405263,"score_spread":0.1370004858178952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736218151","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16473046,0.015522059,0.10911034,0.4957039,0.0041819946,0.00468225,0.00082422764,0.0016598884,0.20358478],"genre_scores_gemma":[0.6921432,0.013249882,0.2051766,0.063295566,0.0017968816,0.0071038837,0.0005807489,0.00025277556,0.01640051],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.98599327,0.008912987,0.0005496253,0.001006948,0.0022025139,0.0013346791],"domain_scores_gemma":[0.9786728,0.013125439,0.0016322569,0.0016284103,0.0018145478,0.003126469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018223545,0.0005745386,0.00059667876,0.0023052138,0.0035923976,0.0068373345,0.002558952,0.0024144403,0.012453313],"category_scores_gemma":[0.048371308,0.00033869033,0.0014879756,0.0015320969,0.0025616528,0.005621278,0.013285054,0.004820794,0.0017796837],"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":[0.00013559026,0.0031095566,0.021425087,0.0023677747,0.00019721813,0.00032758457,0.023466403,0.00092970085,0.001478847,0.06281085,0.05660774,0.82714355],"study_design_scores_gemma":[0.00071809057,0.0017237486,0.047342382,0.014023704,0.0008032862,0.00051390857,0.04280738,0.008084651,0.0039988277,0.17036349,0.7093891,0.00023152743],"about_ca_topic_score_codex":0.0062543685,"about_ca_topic_score_gemma":0.01338074,"teacher_disagreement_score":0.018223545,"about_ca_system_score_codex":0.0034311428,"about_ca_system_score_gemma":0.021315956,"threshold_uncertainty_score":0.09637642},"labels":[],"label_agreement":null},{"id":"W2736888963","doi":"10.2196/diabetes.7652","title":"The Value of Children's Voices for a Video Game Development in the Context of Type 1 Diabetes: Focus Group Study","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Educational Games and Gamification","field":"Psychology","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":"University of British Columbia","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Context (archaeology); Psychosocial; Focus group; Type 1 diabetes; Video game; Psychology; Face (sociological concept); Value (mathematics); Medicine; Applied psychology; Computer science; Developmental psychology; Multimedia; Gerontology; Diabetes mellitus; Psychotherapist; Sociology","score_opus":0.024364969571116044,"score_gpt":0.33363895934064086,"score_spread":0.3092739897695248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736888963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99604684,0.00030727568,0.0005069727,0.00054539903,0.000043168795,0.00041128305,0.00006381577,0.000008855209,0.0020662542],"genre_scores_gemma":[0.993305,0.0008383148,0.0025346514,0.0005439709,0.000029914263,0.0012082634,0.000071183815,0.000023418008,0.0014452133],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99425983,0.003654166,0.00020254712,0.0004159768,0.0004050342,0.0010624994],"domain_scores_gemma":[0.98944724,0.0077813156,0.0006023223,0.00024393064,0.00075843534,0.001166665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010745878,0.00077922683,0.0009988581,0.0015368565,0.00574923,0.0033104979,0.0014596302,0.0018686436,0.0023916378],"category_scores_gemma":[0.015136166,0.00063480635,0.0007622231,0.0007723998,0.0025643592,0.0017606021,0.0048879725,0.002726397,0.0002725623],"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":[0.00014771376,0.0010369483,0.013552031,0.00043591563,0.00001954311,0.0018368247,0.9653774,0.000044252592,0.0018568202,0.00048999867,0.0007314663,0.014471078],"study_design_scores_gemma":[0.00007737504,0.000999814,0.02003267,0.00043964223,0.00006128673,0.0012085856,0.96201,0.00014588944,0.0012224566,0.00025695757,0.013490021,0.000055195866],"about_ca_topic_score_codex":0.006710309,"about_ca_topic_score_gemma":0.014617051,"teacher_disagreement_score":0.010745878,"about_ca_system_score_codex":0.0036889552,"about_ca_system_score_gemma":0.0035910541,"threshold_uncertainty_score":0.056830347},"labels":[],"label_agreement":null},{"id":"W2738122553","doi":"10.2196/diabetes.7910","title":"Improving Glycemic Control With a Standardized Text-Message and Phone-Based Intervention: A Community Implementation","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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 Heart, Lung, and Blood Institute","keywords":"Glycemic; Telemedicine; Phone; Medicine; Intervention (counseling); Type 2 Diabetes Mellitus; Disease control; Control (management); Diabetes mellitus; Intensive care medicine; Nursing; Computer science; Health care; Artificial intelligence; Political science; Environmental health","score_opus":0.027999511767203472,"score_gpt":0.4250572499066791,"score_spread":0.39705773813947565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738122553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98411155,0.0001345208,0.0013126091,0.00083366106,0.000056878376,0.011409482,0.00019174039,0.00019615676,0.0017534273],"genre_scores_gemma":[0.9711373,0.00041027245,0.014204441,0.001064845,0.00011367676,0.010806731,0.0003709818,0.000013489482,0.0018783419],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9978034,0.001131221,0.00014930409,0.00030576106,0.0002661453,0.00034417922],"domain_scores_gemma":[0.9969891,0.0008403202,0.00030495843,0.00018453215,0.00028676022,0.0013943713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038505741,0.0007447877,0.00044484402,0.00093646615,0.0012998162,0.0007548512,0.0013160864,0.0012529017,0.0060289856],"category_scores_gemma":[0.0048861057,0.00041030272,0.00075916614,0.0006898439,0.00053359236,0.00066108035,0.0022394313,0.0012754445,0.00035261907],"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":[0.014584767,0.35345364,0.037006523,0.0016941371,0.0003616655,0.0005121401,0.0025286998,0.0015555122,0.005619274,0.0002257698,0.0032779856,0.57918],"study_design_scores_gemma":[0.13403003,0.33078024,0.5074463,0.0010077794,0.0012186447,0.00030610265,0.00372808,0.00665391,0.0046672095,0.00046412635,0.009554202,0.00014335231],"about_ca_topic_score_codex":0.009883383,"about_ca_topic_score_gemma":0.01286402,"teacher_disagreement_score":0.009883383,"about_ca_system_score_codex":0.0014456587,"about_ca_system_score_gemma":0.006768963,"threshold_uncertainty_score":0.020364046},"labels":[],"label_agreement":null},{"id":"W2743757382","doi":"10.2196/diabetes.7128","title":"The Effect of Telehealth on Quality of Life and Psychological Outcomes Over a 12-Month Period in a Diabetes Cohort Within the Whole Systems Demonstrator Cluster Randomized Trial","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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":"Telehealth; Quality of life (healthcare); Anxiety; Randomized controlled trial; Medicine; Cluster randomised controlled trial; Physical therapy; Randomization; Psychology; Telemedicine; Health care; Psychiatry; Nursing","score_opus":0.026465935114478072,"score_gpt":0.3548597305207131,"score_spread":0.32839379540623503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743757382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902784,0.0011075143,0.0007871268,0.00042268253,0.00035539403,0.00567741,0.0005904952,0.00006299859,0.00071788044],"genre_scores_gemma":[0.9853189,0.00032051993,0.0018726303,0.00035363372,0.00026900828,0.010362835,0.00044916905,0.000011609731,0.0010416949],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.993544,0.003989954,0.00043527765,0.0010658036,0.00031042306,0.00065453677],"domain_scores_gemma":[0.9945332,0.0017687071,0.0012375775,0.0008134703,0.00036512842,0.0012818197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007173135,0.001468875,0.003328008,0.00059206545,0.00081478345,0.0012509294,0.0011780418,0.0023715023,0.0056269555],"category_scores_gemma":[0.008641052,0.00070082635,0.0036294677,0.00072945224,0.0013488573,0.001304488,0.001423917,0.0020072744,0.00045798032],"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":[0.9855381,0.0049665775,0.0021281368,0.0002670735,0.00136211,0.000017710701,0.00006315978,0.00033227474,0.0002729201,0.00006029013,0.0002523114,0.004739354],"study_design_scores_gemma":[0.86183465,0.12131524,0.012651884,0.00007147632,0.0018477198,0.00002270587,0.000083057,0.0011958006,0.0003185885,0.00027341934,0.0003549811,0.00003041425],"about_ca_topic_score_codex":0.0041870526,"about_ca_topic_score_gemma":0.0039350297,"teacher_disagreement_score":0.007173135,"about_ca_system_score_codex":0.0018481129,"about_ca_system_score_gemma":0.0023968094,"threshold_uncertainty_score":0.037935615},"labels":[],"label_agreement":null},{"id":"W2744839448","doi":"10.2196/diabetes.7454","title":"Diabetes App-Related Text Messages From Health Care Professionals in Conjunction With a New Wireless Glucose Meter With a Color Range Indicator Improves Glycemic Control in Patients With Type 1 and Type 2 Diabetes: Randomized Controlled Trial","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"LifeScan","keywords":"Glycemic; Analytics; Health professionals; Medicine; Glucose meter; Health care; Short Message Service; Diabetes mellitus; Computer science; Data science","score_opus":0.008591096841284148,"score_gpt":0.31784631404104535,"score_spread":0.3092552171997612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2744839448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9755263,0.0069434945,0.00044063578,0.00084555557,0.0012650538,0.010358033,0.0016513035,0.00013484657,0.002834886],"genre_scores_gemma":[0.965208,0.0053509176,0.001970477,0.001632589,0.0013608757,0.019071735,0.0011641645,0.000023907389,0.0042174654],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99870896,0.0006065033,0.00016413386,0.00023599845,0.00011503775,0.00016929381],"domain_scores_gemma":[0.9981725,0.0006756584,0.0004459671,0.00012165882,0.00015013895,0.0004339673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017102007,0.0015441822,0.0035798892,0.0005909126,0.0008027167,0.0014199046,0.0010760213,0.0025273303,0.011968251],"category_scores_gemma":[0.0034070963,0.00085498247,0.0035340004,0.0007416642,0.0010732005,0.00134802,0.00069055,0.0032441423,0.0011468541],"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":[0.9767661,0.011015635,0.0006724219,0.0012108368,0.0015615979,0.000024259984,0.000054096945,0.0000610663,0.00030822144,0.00003168048,0.0004883883,0.00780567],"study_design_scores_gemma":[0.9548204,0.041509237,0.0020075683,0.00009484962,0.0010417943,0.000011153587,0.000036513356,0.000102141086,0.000080150436,0.00004364046,0.00024125353,0.000011320537],"about_ca_topic_score_codex":0.0026816207,"about_ca_topic_score_gemma":0.004895677,"teacher_disagreement_score":0.011968251,"about_ca_system_score_codex":0.00092566176,"about_ca_system_score_gemma":0.0012884457,"threshold_uncertainty_score":0.04003781},"labels":[],"label_agreement":null},{"id":"W2745553531","doi":"10.2196/diabetes.8030","title":"Digital Health for Medication Adherence in Adult Diabetes or Hypertension: An Integrative Review","year":2017,"lang":"en","type":"review","venue":"JMIR Diabetes","topic":"Medication Adherence and Compliance","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":"University of South Carolina","keywords":"Medication adherence; Diabetes mellitus; Medicine; Digital health; Intensive care medicine; Internal medicine; Health care; Endocrinology","score_opus":0.187151045017867,"score_gpt":0.4586199985748647,"score_spread":0.2714689535569977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2745553531","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025724337,0.99908566,0.000037201527,0.00018562874,0.000056613084,0.000027544032,0.000025655994,0.0000027129252,0.00032183708],"genre_scores_gemma":[0.002899847,0.99658644,0.00018892235,0.00016720904,0.00005309599,0.000041034997,0.000019193012,8.946155e-7,0.000043419495],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99827886,0.0006092528,0.00047926788,0.00015296745,0.0004019976,0.000077737124],"domain_scores_gemma":[0.9879332,0.010169782,0.0010670882,0.000116269606,0.00056587654,0.00014770558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002800706,0.00082953786,0.0025748634,0.0085516,0.00053309696,0.0024975783,0.001277907,0.0016835531,0.0048728758],"category_scores_gemma":[0.011884035,0.00043268426,0.0034521732,0.0064932387,0.00073568674,0.0020805963,0.0012288182,0.0011701359,0.0003569771],"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":[0.000104691884,0.00009419947,0.00086718117,0.6554327,0.0023302492,0.000114363764,0.0004989072,0.0001711169,0.00019630873,0.0018384954,0.004082774,0.33426902],"study_design_scores_gemma":[0.00008268517,0.00025015642,0.0063571953,0.86689866,0.01807275,0.0007323726,0.00069375493,0.00019398236,0.0002388724,0.0013783169,0.10505588,0.0000453751],"about_ca_topic_score_codex":0.004186484,"about_ca_topic_score_gemma":0.0076252213,"teacher_disagreement_score":0.0085516,"about_ca_system_score_codex":0.001534007,"about_ca_system_score_gemma":0.0054802466,"threshold_uncertainty_score":0.016301453},"labels":[],"label_agreement":null},{"id":"W2748770582","doi":"10.2196/diabetes.8039","title":"One Drop | Mobile: An Evaluation of Hemoglobin A1c Improvement Linked to App Engagement","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":49,"is_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":"Type 2 diabetes; Diabetes mellitus; Mobile apps; Medicine; Data collection; Computer science; Statistics; World Wide Web; Mathematics","score_opus":0.11717393378038628,"score_gpt":0.48286747210026093,"score_spread":0.36569353831987467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748770582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8858603,0.035938423,0.007017548,0.0057704416,0.001440744,0.022973094,0.016255973,0.003019854,0.021723658],"genre_scores_gemma":[0.8804819,0.020485729,0.039173625,0.0070091025,0.0012165089,0.03540189,0.010117968,0.00047091796,0.005642412],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.98724383,0.0070073055,0.0014830731,0.0009498114,0.002827605,0.0004883199],"domain_scores_gemma":[0.9592644,0.028772706,0.004643559,0.0013880986,0.004150799,0.001780507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011061206,0.0013525377,0.0015566739,0.0021506657,0.0007301456,0.0024372844,0.001564283,0.0017621045,0.006898727],"category_scores_gemma":[0.059978347,0.00044515711,0.0040347306,0.0012472888,0.0005604791,0.0022352256,0.0022376485,0.0016999097,0.0010580845],"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":[0.068664685,0.019802539,0.07162175,0.03704801,0.009862047,0.00033067964,0.0028221318,0.00081073685,0.0021622141,0.0010375713,0.02824535,0.7575924],"study_design_scores_gemma":[0.07249473,0.1900609,0.53662974,0.032689963,0.044475246,0.0011575603,0.0033036352,0.009546035,0.0064595183,0.0034805036,0.098628335,0.0010739054],"about_ca_topic_score_codex":0.0030999016,"about_ca_topic_score_gemma":0.0051864227,"teacher_disagreement_score":0.011061206,"about_ca_system_score_codex":0.0011266512,"about_ca_system_score_gemma":0.0019438241,"threshold_uncertainty_score":0.058497965},"labels":[],"label_agreement":null},{"id":"W2755261112","doi":"10.2196/diabetes.8505","title":"Views of Patients on Using mHealth to Monitor and Prevent Diabetic Foot Ulcers: Qualitative Study","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetic Foot Ulcer Assessment and Management","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"mHealth; Medicine; Diabetic foot; Qualitative research; Population; Foot (prosody); Telemedicine; Health care; Diabetes mellitus; Nursing; Physical therapy; Psychological intervention; Environmental health","score_opus":0.0675526628411622,"score_gpt":0.42857929805663414,"score_spread":0.36102663521547196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755261112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942153,0.0006083807,0.0008691026,0.0017578554,0.00003739071,0.00013035352,0.0002349411,0.000009391945,0.002137333],"genre_scores_gemma":[0.9957272,0.00091094495,0.00059846346,0.0013501177,0.00002191059,0.00024277376,0.00010507549,0.0000119881415,0.0010314835],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9925903,0.005285042,0.00030397336,0.00031946186,0.0005142273,0.0009869065],"domain_scores_gemma":[0.9819665,0.0138445115,0.0012580524,0.0002605233,0.0012264311,0.0014439594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008747493,0.0004397534,0.0007536695,0.001195413,0.005089797,0.0028138047,0.0011455973,0.001505059,0.002916048],"category_scores_gemma":[0.017017137,0.0005614982,0.00060426863,0.0013783396,0.004057503,0.0031806384,0.0035267249,0.0021840285,0.00034027587],"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":[0.0000586828,0.00006561728,0.007252626,0.00021500289,0.000010166982,0.00073107216,0.9864377,0.000031862837,0.0006199274,0.00031478368,0.00047766077,0.0037849732],"study_design_scores_gemma":[0.0000057336465,0.000069058595,0.0022279783,0.00016469731,0.000006165553,0.0002806773,0.993731,0.00005501118,0.0001516972,0.00009022533,0.0032037697,0.000014078382],"about_ca_topic_score_codex":0.007539413,"about_ca_topic_score_gemma":0.009345183,"teacher_disagreement_score":0.008747493,"about_ca_system_score_codex":0.0037433447,"about_ca_system_score_gemma":0.0028586795,"threshold_uncertainty_score":0.04626167},"labels":[],"label_agreement":null},{"id":"W2756521911","doi":"10.2196/diabetes.7456","title":"Mutual Involvement in Families With Type 2 Diabetes Through Web-Based Health Care Solutions: Quantitative Survey Study of Family Preferences, Challenges, and Potentials","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management 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":"Steno Diabetes Center Copenhagen","keywords":"Type 2 diabetes; Family health; Psychology; Medicine; Family medicine; Data science; Diabetes mellitus; Computer science; Nursing; Endocrinology","score_opus":0.1421198378613937,"score_gpt":0.3588601410194115,"score_spread":0.2167403031580178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756521911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99925524,0.000092940456,0.00010195371,0.00008107392,0.0000028177583,0.000027669299,0.00009547961,0.0000012494261,0.0003414927],"genre_scores_gemma":[0.99896383,0.00020336262,0.00023802904,0.00008297036,0.000004632082,0.000086208565,0.00010639502,0.0000016218274,0.00031294386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968129,0.0021183675,0.00021619114,0.00022064317,0.00029877826,0.00033319558],"domain_scores_gemma":[0.9893524,0.0059628002,0.0023492698,0.00021437736,0.0010711956,0.0010499178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004655384,0.0002495647,0.00034513685,0.0011457179,0.0018221751,0.001071025,0.00040664306,0.00059079373,0.0026254933],"category_scores_gemma":[0.013105936,0.00027611735,0.00046091553,0.0007794467,0.0007001604,0.0012432033,0.0013819488,0.0006641447,0.0002044607],"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":[0.00023663508,0.00042916596,0.76116276,0.0003149649,0.00008672711,0.0009703875,0.21223707,0.00011775319,0.001016918,0.00014068019,0.00071981084,0.022567146],"study_design_scores_gemma":[0.000021473908,0.0008090751,0.4118639,0.00020354796,0.000053555934,0.0011760392,0.5803483,0.00041586778,0.0005181973,0.000111010915,0.004421198,0.000057896064],"about_ca_topic_score_codex":0.0056488276,"about_ca_topic_score_gemma":0.0058555207,"teacher_disagreement_score":0.0056488276,"about_ca_system_score_codex":0.0012230619,"about_ca_system_score_gemma":0.0011660013,"threshold_uncertainty_score":0.024620354},"labels":[],"label_agreement":null},{"id":"W2760931811","doi":"10.2196/diabetes.8045","title":"Functionality, Implementation, Impact, and the Role of Health Literacy in Mobile Phone Apps for Gestational Diabetes: Scoping Review","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"Gestational diabetes; Mobile phone; Mobile apps; Promotion (chess); Computer science; Internet privacy; Multimedia; Medicine; World Wide Web; Pregnancy; Gestation; Telecommunications; Political science","score_opus":0.04475478676165253,"score_gpt":0.5093857524680564,"score_spread":0.4646309657064039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760931811","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014053838,0.9965456,0.00022993416,0.00044158284,0.00013750124,0.00031794098,0.000121126235,0.0000068133154,0.0007941721],"genre_scores_gemma":[0.011143565,0.986741,0.00072786195,0.00036688606,0.00007303565,0.0007202467,0.00010676683,0.000005129834,0.000115453586],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.98868996,0.0041625868,0.003838176,0.00070433127,0.0022547145,0.000350349],"domain_scores_gemma":[0.8975105,0.088252924,0.0072661126,0.00082367443,0.005736802,0.00040994358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017239036,0.0013155531,0.0042624827,0.011079661,0.001032056,0.0052374005,0.0018719077,0.0030120558,0.002863713],"category_scores_gemma":[0.095554546,0.0010339106,0.0054669357,0.010680181,0.0015203796,0.003786209,0.0022361916,0.0019557052,0.00037329868],"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":[0.00015337893,0.0000765257,0.0014295322,0.77396476,0.0020294203,0.00011436755,0.0013801114,0.00016076105,0.0001658931,0.0011101115,0.0017929795,0.21762216],"study_design_scores_gemma":[0.000039839888,0.00013375633,0.0025469156,0.96529627,0.009626471,0.0001907144,0.0007647139,0.000083529456,0.00018989171,0.00033192532,0.020772342,0.000023638187],"about_ca_topic_score_codex":0.010534124,"about_ca_topic_score_gemma":0.01691595,"teacher_disagreement_score":0.017239036,"about_ca_system_score_codex":0.0046239514,"about_ca_system_score_gemma":0.018993374,"threshold_uncertainty_score":0.091169834},"labels":[],"label_agreement":null},{"id":"W2763675690","doi":"10.2196/diabetes.8299","title":"Examining the Impact of a Novel Blood Glucose Monitor With Color Range Indicator on Decision-Making in Patients With Type 1 and Type 2 Diabetes and its Association With Patient Numeracy Level","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","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":"Categorization; Glucose meter; Numeracy; Range (aeronautics); Medicine; Type 2 diabetes; Computer science; Psychology; Diabetes mellitus; Artificial intelligence; Endocrinology; Engineering","score_opus":0.017816930902548656,"score_gpt":0.2876551822404174,"score_spread":0.26983825133786876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763675690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996031,0.000044905493,0.00003952045,0.000038386268,0.0000036552551,0.000007955932,0.000012662239,0.0000011681059,0.00024861033],"genre_scores_gemma":[0.9996043,0.000033994318,0.00019819416,0.000058585305,0.00000802407,0.000012334984,0.00002074538,6.824258e-7,0.00006332854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862385,0.000740062,0.00012325749,0.00014206764,0.00026072914,0.00011012457],"domain_scores_gemma":[0.99017125,0.006101722,0.0024591486,0.00022290155,0.00037920682,0.0006657077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019336251,0.0002518064,0.00032015386,0.0003353754,0.00034254396,0.00067472557,0.00018463697,0.00047958238,0.001520924],"category_scores_gemma":[0.01098315,0.00017542513,0.0004018519,0.00039400352,0.0002738078,0.00041879708,0.00032498597,0.00064487685,0.00019531736],"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":[0.0018297789,0.0011332777,0.9850085,0.000036044246,0.00007510124,0.000080574944,0.0003846012,0.0001330108,0.00037740613,0.000015390542,0.00013033219,0.010796031],"study_design_scores_gemma":[0.000098222445,0.005225782,0.99183536,0.000016606384,0.00008616974,0.00021143132,0.0005655789,0.0013032666,0.00037989885,0.000043481406,0.00021833373,0.000015855398],"about_ca_topic_score_codex":0.001075428,"about_ca_topic_score_gemma":0.0017356094,"teacher_disagreement_score":0.0019336251,"about_ca_system_score_codex":0.0003901125,"about_ca_system_score_gemma":0.0003642305,"threshold_uncertainty_score":0.010226071},"labels":[],"label_agreement":null},{"id":"W2765363580","doi":"10.2196/diabetes.8590","title":"A Fully Automated Conversational Artificial Intelligence for Weight Loss: Longitudinal Observational Study Among Overweight and Obese Adults","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":208,"is_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":"Weight loss; Overweight; Observational study; Medicine; Gerontology; Health care; Psychological intervention; Weight management; Quality of life (healthcare); Body mass index; Obesity; Physical therapy; Nursing","score_opus":0.12646490151745451,"score_gpt":0.4521040795515315,"score_spread":0.32563917803407694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765363580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987184,0.00012395027,0.00013959169,0.000058103135,0.000008937468,0.00021095351,0.00042951244,0.0000063526445,0.0003042619],"genre_scores_gemma":[0.9971505,0.0001465681,0.0005707042,0.0002501579,0.000023467986,0.0005451701,0.00081068947,0.0000056007307,0.00049726904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992237,0.00027030852,0.00009031279,0.00015801593,0.00014137062,0.000116324234],"domain_scores_gemma":[0.99801517,0.00034626637,0.0005602127,0.00020716045,0.00041376986,0.00045732714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001894613,0.0003601556,0.00049736514,0.0005953475,0.0015815308,0.00094337383,0.00049422553,0.00092316174,0.0017077082],"category_scores_gemma":[0.0038610958,0.0006233934,0.0008619895,0.00048158705,0.00031132472,0.0010182331,0.00096576964,0.0016973887,0.00069227745],"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":[0.0013981669,0.00869953,0.9766679,0.00016426419,0.00038010755,0.0001475505,0.0027647903,0.00007948753,0.0006509631,0.000047243608,0.0011551462,0.007844771],"study_design_scores_gemma":[0.0002086058,0.0037092143,0.9911267,0.00005896304,0.00017743815,0.00016498537,0.0027801935,0.0006072463,0.00013418576,0.000056753168,0.0009445547,0.00003120268],"about_ca_topic_score_codex":0.010567388,"about_ca_topic_score_gemma":0.014770689,"teacher_disagreement_score":0.010567388,"about_ca_system_score_codex":0.00051997206,"about_ca_system_score_gemma":0.00077071576,"threshold_uncertainty_score":0.02101177},"labels":[],"label_agreement":null},{"id":"W2766344060","doi":"10.2196/diabetes.6669","title":"A Website to Promote Physical Activity in People With Type 2 Diabetes Living in Remote or Rural Locations: Feasibility Pilot Randomized Controlled Trial","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Physical Activity and Health","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":"Randomized controlled trial; Type 2 diabetes; Physical activity; Gerontology; Medicine; Physical therapy; Diabetes mellitus; Internal medicine","score_opus":0.037043526185929626,"score_gpt":0.35307573503235146,"score_spread":0.3160322088464218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766344060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8338615,0.0015154963,0.0016977723,0.000833337,0.0006701654,0.1574321,0.0015483822,0.00020858813,0.002232712],"genre_scores_gemma":[0.7423965,0.0018074787,0.009792061,0.0012970181,0.0004759697,0.24081135,0.00077873474,0.000027614307,0.0026133435],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99682707,0.001840787,0.00028971702,0.00035640813,0.00028975707,0.0003963317],"domain_scores_gemma":[0.9961482,0.0016134182,0.0005364069,0.0002960931,0.00040047447,0.0010054581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060126684,0.0012843882,0.0028074486,0.0011178922,0.0013273339,0.0012963933,0.0013058996,0.0028391124,0.010553606],"category_scores_gemma":[0.006353204,0.0010444212,0.0020865132,0.0009399595,0.0016575679,0.0017195679,0.0014158821,0.0024087203,0.0011369686],"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":[0.8298003,0.118921496,0.0028708663,0.0037662652,0.001159497,0.00020679494,0.0006490664,0.00034077984,0.0017889383,0.00016789621,0.0010857054,0.039242372],"study_design_scores_gemma":[0.87477195,0.120064475,0.003714649,0.00012167586,0.0002927349,0.000021613065,0.0001561013,0.00016497666,0.00017361545,0.0000801096,0.0004239326,0.000014148994],"about_ca_topic_score_codex":0.0027979666,"about_ca_topic_score_gemma":0.0045188763,"teacher_disagreement_score":0.010553606,"about_ca_system_score_codex":0.0010130589,"about_ca_system_score_gemma":0.0036815875,"threshold_uncertainty_score":0.03530532},"labels":[],"label_agreement":null},{"id":"W2766651266","doi":"10.2196/diabetes.8966","title":"A Novel Approach to Identifying Barriers and Facilitators in Raising a Child With Type 1 Diabetes: Qualitative Analysis of Caregiver Blogs","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":"Penn State College of Medicine; Pennsylvania State University; University of Pennsylvania","keywords":"Type 1 diabetes; The Internet; Distress; Psychology; Peer support; Quality (philosophy); Internet privacy; Developmental psychology; Medicine; Diabetes mellitus; Clinical psychology; World Wide Web; Psychiatry; Computer science","score_opus":0.04834321316680534,"score_gpt":0.3742067636217832,"score_spread":0.32586355045497784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766651266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9630383,0.0014397264,0.014089177,0.005056552,0.00021475922,0.0019324165,0.0011538914,0.000052812928,0.013022241],"genre_scores_gemma":[0.97728765,0.0013343262,0.012118658,0.0014555937,0.000046942037,0.003047973,0.00039403807,0.000079399884,0.0042355694],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9869222,0.009907947,0.00046201565,0.0007330811,0.00083629164,0.0011384874],"domain_scores_gemma":[0.94238436,0.049417656,0.002514361,0.0011649961,0.0033576342,0.0011609418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026504492,0.0009655015,0.0009277204,0.0044985656,0.009257773,0.006275449,0.0023839034,0.0017380766,0.0034428046],"category_scores_gemma":[0.040022194,0.0007840556,0.0006054704,0.0042190584,0.012501162,0.0069678626,0.0069115288,0.0028885247,0.00036288626],"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":[0.00002205324,0.000022024089,0.0021609943,0.00023059058,0.0000032065939,0.00032527104,0.99239,0.00002417646,0.00041369908,0.0011012249,0.00042340366,0.002883346],"study_design_scores_gemma":[0.0000032062558,0.000011706999,0.00086820335,0.00021823808,0.0000028720935,0.00007405504,0.99492526,0.00006746074,0.00017125001,0.00038733002,0.0032646067,0.0000058656174],"about_ca_topic_score_codex":0.011808507,"about_ca_topic_score_gemma":0.024617948,"teacher_disagreement_score":0.026504492,"about_ca_system_score_codex":0.008749387,"about_ca_system_score_gemma":0.009594556,"threshold_uncertainty_score":0.14017081},"labels":[],"label_agreement":null},{"id":"W2772604744","doi":"10.2196/diabetes.8156","title":"A Feasible and Efficacious Mobile-Phone Based Lifestyle Intervention for Filipino Americans with Type 2 Diabetes: Randomized Controlled Trial","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":73,"is_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; American Heart Association","keywords":"Type 2 diabetes; Medicine; Randomized controlled trial; mHealth; Psychological intervention; Gerontology; Mobile phone; Intervention (counseling); Obesity; Diabetes mellitus; Disease; Physical therapy; Internal medicine; Psychiatry; Endocrinology","score_opus":0.028883943377488775,"score_gpt":0.40465346373733685,"score_spread":0.37576952035984806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772604744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86281276,0.020842895,0.0024888287,0.0044726906,0.0034120295,0.09310189,0.0050014067,0.00049282855,0.007374712],"genre_scores_gemma":[0.8555964,0.009018453,0.0058911005,0.0038671512,0.0015136272,0.11851118,0.0013109512,0.00002634064,0.0042646714],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9990426,0.00042198625,0.0001126315,0.00017501497,0.00009384078,0.00015384523],"domain_scores_gemma":[0.9991099,0.00029442244,0.0002308785,0.000051230378,0.00009089131,0.00022267282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018453512,0.0014479093,0.0029634077,0.00080291985,0.0010368732,0.0012223899,0.0009843835,0.0032806606,0.015594778],"category_scores_gemma":[0.0034932103,0.0006453789,0.0026310682,0.00065047515,0.0008220087,0.0012370482,0.00075893005,0.002336298,0.0010083575],"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":[0.9285364,0.019306613,0.0012258935,0.007684787,0.003689041,0.00008982413,0.00013279007,0.00021348361,0.00078692555,0.00021399728,0.001968761,0.036151458],"study_design_scores_gemma":[0.980974,0.016098522,0.0011777811,0.0002650135,0.00073407113,0.000009220781,0.000035113026,0.00012621951,0.0000645703,0.00007305241,0.00043529787,0.000007140259],"about_ca_topic_score_codex":0.002228466,"about_ca_topic_score_gemma":0.004691616,"teacher_disagreement_score":0.015594778,"about_ca_system_score_codex":0.00087369647,"about_ca_system_score_gemma":0.0019735743,"threshold_uncertainty_score":0.05216974},"labels":[],"label_agreement":null},{"id":"W2773594819","doi":"10.2196/diabetes.8315","title":"Transitional Needs of Australian Young Adults With Type 1 Diabetes: Mixed Methods Study","year":2017,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":"Type 2 diabetes; Psychology; Gerontology; Medicine; Diabetes mellitus; Endocrinology","score_opus":0.03292909615205359,"score_gpt":0.37585089516950304,"score_spread":0.34292179901744946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773594819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952619,0.0012527254,0.00040910894,0.0002553165,0.000021853908,0.0009954929,0.0003762806,0.0000041906437,0.0014231532],"genre_scores_gemma":[0.985715,0.0040633567,0.0028601256,0.0010530903,0.0000327415,0.0044804853,0.0004261227,0.00000840727,0.0013605873],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99684036,0.0015853435,0.000482128,0.0002682423,0.00041727547,0.00040670903],"domain_scores_gemma":[0.9966432,0.0013462305,0.0006130745,0.00015890323,0.0009359653,0.0003026618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006623542,0.00043422118,0.0010272049,0.0018045178,0.0029608067,0.0021428077,0.0008421859,0.00083870476,0.0015548177],"category_scores_gemma":[0.008328989,0.0006920759,0.0009300949,0.0025415376,0.0008091118,0.0015089428,0.0027141166,0.0010917105,0.0003104616],"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":[0.00030511024,0.00094435987,0.22651376,0.0028790834,0.0001318974,0.0013052975,0.7306972,0.000056383178,0.00084371713,0.00043801722,0.0011171438,0.034768075],"study_design_scores_gemma":[0.00003755886,0.0010963106,0.2466633,0.0016195114,0.00014017713,0.0006695198,0.7421197,0.00021870076,0.00031962225,0.0002952225,0.0067706993,0.000049639955],"about_ca_topic_score_codex":0.033077262,"about_ca_topic_score_gemma":0.063045405,"teacher_disagreement_score":0.033077262,"about_ca_system_score_codex":0.0030427233,"about_ca_system_score_gemma":0.004168831,"threshold_uncertainty_score":0.06576949},"labels":[],"label_agreement":null},{"id":"W2782609612","doi":"10.2196/diabetes.9143","title":"Health Care Professionals’ Clinical Perspectives on Glycemic Control and Satisfaction With a New Blood Glucose Meter With a Color Range Indicator: Online Evaluation in India, Russia, China, and the United States","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","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":"Glycemic; Glucose meter; Diabetes mellitus; Medicine; China; Control (management); Target range; Gerontology; Endocrinology; Computer science; Geography; Artificial intelligence","score_opus":0.01170449786417018,"score_gpt":0.32979770598758434,"score_spread":0.3180932081234142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782609612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995004,0.000033207565,0.000014558023,0.00006793785,0.0000027464675,0.0000069212324,0.000016001843,8.120092e-7,0.0003574061],"genre_scores_gemma":[0.99972206,0.000048202193,0.00004278798,0.00008453216,0.0000037832044,0.000008752867,0.000023613098,6.7861146e-7,0.00006553735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978143,0.0011560543,0.00016342697,0.00012685088,0.00036965965,0.00036970546],"domain_scores_gemma":[0.99098796,0.003405426,0.0026314743,0.00015963521,0.0011256816,0.0016898097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032830595,0.00013980315,0.0002472001,0.0005888007,0.00059194077,0.0008953123,0.00019605829,0.0004416024,0.0014253773],"category_scores_gemma":[0.010788174,0.00018885345,0.00038793794,0.0006047808,0.0006026955,0.00050480437,0.00089985784,0.000518842,0.00013124889],"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":[0.00024342758,0.00041553355,0.9666626,0.000052695592,0.000040165884,0.00025531926,0.022540605,0.000050823943,0.00035035476,0.000033478016,0.00044993477,0.008905151],"study_design_scores_gemma":[0.00004630704,0.0006399511,0.9567905,0.00003811835,0.000026654583,0.0002359355,0.041209638,0.0002941405,0.00015285515,0.000015107153,0.0005365628,0.000014304964],"about_ca_topic_score_codex":0.007978848,"about_ca_topic_score_gemma":0.008668488,"teacher_disagreement_score":0.007978848,"about_ca_system_score_codex":0.00076339487,"about_ca_system_score_gemma":0.0009008058,"threshold_uncertainty_score":0.017362654},"labels":[],"label_agreement":null},{"id":"W2783003958","doi":"10.2196/diabetes.8069","title":"An Interactive Simulation to Change Outcome Expectancies and Intentions in Adults With Type 2 Diabetes: Within-Subjects Experiment","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":10,"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":"York University; Utah Department of Health","keywords":"Type 2 diabetes; Outcome (game theory); Psychology; Social psychology; Diabetes mellitus; Developmental psychology; Medicine; Mathematics; Endocrinology","score_opus":0.07623673206272799,"score_gpt":0.427616425996252,"score_spread":0.351379693933524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783003958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99755716,0.00001786506,0.0005210023,0.000033721644,0.000018476456,0.0013668942,0.000104217754,0.000025606045,0.00035493815],"genre_scores_gemma":[0.966407,0.00011863881,0.016741207,0.00023015583,0.000084042425,0.014248644,0.00032927358,0.000018542041,0.0018224753],"study_design_codex":"nonrandomized_trial","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845946,0.0007538164,0.0001807478,0.00026673765,0.00015599334,0.00018313267],"domain_scores_gemma":[0.99379647,0.004343326,0.0005044392,0.00045750695,0.00023459923,0.00066374283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003025222,0.0010342785,0.00080362515,0.00025501664,0.0005998156,0.00077180716,0.00090866286,0.0012607691,0.0056740684],"category_scores_gemma":[0.006586102,0.0007161833,0.0008302262,0.00017014328,0.0006127546,0.0005341962,0.0009652049,0.0014101088,0.00047432547],"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":[0.110411674,0.7177446,0.034272972,0.0014862673,0.0006252119,0.00035105748,0.0076958877,0.008062918,0.048899744,0.00064098916,0.0013053956,0.068503335],"study_design_scores_gemma":[0.04308034,0.8374442,0.073848695,0.0001261257,0.0007444514,0.00013948519,0.001367931,0.018781887,0.019547865,0.000961943,0.003779348,0.00017772855],"about_ca_topic_score_codex":0.0007197998,"about_ca_topic_score_gemma":0.0010717359,"teacher_disagreement_score":0.0056740684,"about_ca_system_score_codex":0.0003663979,"about_ca_system_score_gemma":0.0009114893,"threshold_uncertainty_score":0.018981636},"labels":[],"label_agreement":null},{"id":"W2785697855","doi":"10.2196/diabetes.8357","title":"Use of a Mobile App to Facilitate Blood Glucose Monitoring in Adolescents With Type 1 Diabetes: Single-Subject Nonrandomized Clinical Trial","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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 Center for Advancing Translational Sciences; University of Illinois at Chicago; University of Illinois at Urbana-Champaign","keywords":"Type 1 diabetes; Medicine; Glycated hemoglobin; Diabetes mellitus; Glycemic; Type 2 diabetes; Diabetes management; Self-monitoring; Blood glucose monitoring; Mobile apps; Computer science; Psychology; Endocrinology","score_opus":0.1568758214562451,"score_gpt":0.43624903827886874,"score_spread":0.2793732168226236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785697855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97937196,0.0015793934,0.00054021634,0.00033619208,0.00043454862,0.016139613,0.00044982668,0.000087486595,0.0010608329],"genre_scores_gemma":[0.9652745,0.001707192,0.0027794968,0.00082943065,0.00067661883,0.026586227,0.00037427965,0.000018415803,0.001753735],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9983328,0.0008583988,0.00017651902,0.00026228218,0.00015255745,0.00021747439],"domain_scores_gemma":[0.9976954,0.0007494812,0.0005253768,0.0002015048,0.00026253823,0.0005658234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00320639,0.0015717916,0.0028127602,0.0007375825,0.0009932341,0.0016275336,0.0012120197,0.0030909462,0.007604325],"category_scores_gemma":[0.004098432,0.0009829913,0.0018820398,0.00061930186,0.0013767731,0.0013471916,0.00076790975,0.002681854,0.0011669914],"study_design_candidate":"nonrandomized_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":[0.90038055,0.07698663,0.002363108,0.0011397137,0.0012817603,0.000060562932,0.00016462256,0.00017169818,0.0011422582,0.00006860349,0.00047993526,0.01576045],"study_design_scores_gemma":[0.7311748,0.2624743,0.0048123864,0.00007780865,0.0005037965,0.000018081453,0.00006465492,0.00024686515,0.00019651985,0.000062145315,0.00035488085,0.00001365046],"about_ca_topic_score_codex":0.0013150289,"about_ca_topic_score_gemma":0.0022877532,"teacher_disagreement_score":0.007604325,"about_ca_system_score_codex":0.00076628476,"about_ca_system_score_gemma":0.001684463,"threshold_uncertainty_score":0.025439024},"labels":[],"label_agreement":null},{"id":"W2787038658","doi":"10.2196/diabetes.9591","title":"Change in Glycemic Control With Use of a Digital Therapeutic in Adults With Type 2 Diabetes: Cohort Study","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"","keywords":"Glycemic; Type 2 diabetes; Medicine; Diabetes mellitus; Cohort; Cohort study; Internal medicine; Endocrinology","score_opus":0.04219721836826958,"score_gpt":0.3757610721655486,"score_spread":0.33356385379727904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787038658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99824524,0.00015447046,0.00008165095,0.00003684061,0.0000163648,0.0000689978,0.00084971846,0.000005027748,0.00054160255],"genre_scores_gemma":[0.998195,0.00011684824,0.00014351569,0.000075755146,0.000017285025,0.00007414644,0.00075457676,0.0000050293174,0.0006179527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904543,0.00020639018,0.0001191798,0.00027803256,0.00019299902,0.0001578918],"domain_scores_gemma":[0.99867463,0.00012491755,0.00040450174,0.00027055084,0.00022159835,0.0003038084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015449411,0.00039166652,0.00048078943,0.0005530569,0.0009386163,0.0013983666,0.00050655194,0.00082022866,0.0022223545],"category_scores_gemma":[0.0024590292,0.0006058216,0.0011663567,0.000942863,0.0002221169,0.0007214339,0.0008603463,0.0015656494,0.0005436064],"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":[0.0008096328,0.0005411543,0.99612916,0.000022261687,0.00041098375,0.00004297498,0.00018852598,0.000020115076,0.00015818668,0.0000140923175,0.0002554537,0.0014074288],"study_design_scores_gemma":[0.00008667285,0.00047624973,0.9984962,0.000011703246,0.00015507055,0.00006541387,0.00031099303,0.00010202404,0.000036985137,0.00001143214,0.00023875861,0.000008405088],"about_ca_topic_score_codex":0.014783302,"about_ca_topic_score_gemma":0.01999866,"teacher_disagreement_score":0.014783302,"about_ca_system_score_codex":0.0004080196,"about_ca_system_score_gemma":0.00046092345,"threshold_uncertainty_score":0.029394507},"labels":[],"label_agreement":null},{"id":"W2788491817","doi":"10.2196/diabetes.8934","title":"Exploring the Use of Personal Technology in Type 2 Diabetes Management Among Ethnic Minority Patients: Cross-Sectional Analysis of Survey Data from the Lifestyle Intervention for the Treatment of Diabetes Study (LIFT Diabetes)","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"National Institute on Minority Health and Health Disparities; Pew Charitable Trusts","keywords":"Ethnic group; Cross-sectional study; Medicine; Type 2 diabetes; Diabetes management; Intervention (counseling); Gerontology; Diabetes mellitus; Disease management; Disease; Family medicine; Health management system; Alternative medicine; Nursing; Internal medicine; Pathology","score_opus":0.3172307145032201,"score_gpt":0.460332106094026,"score_spread":0.14310139159080587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788491817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99946505,0.000056440153,0.00004826882,0.000024815023,0.0000024444064,0.000013169271,0.00024566875,0.0000010612039,0.00014304623],"genre_scores_gemma":[0.9993044,0.00006591877,0.00010476554,0.000032469306,0.000005132175,0.000027073838,0.00038626275,0.0000010787231,0.000072959374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989305,0.0005406215,0.00014113962,0.00011705663,0.00018702868,0.00008358291],"domain_scores_gemma":[0.9969169,0.0006818019,0.0015192823,0.00020712834,0.00030613889,0.00036873153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002292051,0.00020414319,0.00030292402,0.0008375607,0.00034822957,0.000652592,0.00029238797,0.0004958393,0.0007813702],"category_scores_gemma":[0.0040975935,0.00027724958,0.0005594229,0.00096274033,0.00020697805,0.00045694117,0.00061666936,0.0005657592,0.00018245044],"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":[0.000047550595,0.00005816927,0.9990964,0.000006293044,0.000043025335,0.000008411656,0.00012740037,0.000011065122,0.00006434528,0.0000030511812,0.000033648903,0.0005005453],"study_design_scores_gemma":[0.000005398975,0.00009406821,0.99923134,0.0000046563646,0.000018767978,0.00003903593,0.00040028887,0.000104882136,0.000027744047,0.0000036233419,0.00006792117,0.0000023446655],"about_ca_topic_score_codex":0.005699386,"about_ca_topic_score_gemma":0.007140405,"teacher_disagreement_score":0.005699386,"about_ca_system_score_codex":0.00021121166,"about_ca_system_score_gemma":0.00025882586,"threshold_uncertainty_score":0.012121677},"labels":[],"label_agreement":null},{"id":"W2788615464","doi":"10.2196/diabetes.8160","title":"Mobile App for Simplifying Life With Diabetes: Technical Description and Usability Study of GlucoMan","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Usability; Diabetes mellitus; Documentation; Mobile apps; Medicine; Computer science; Insulin; Intensive care medicine; Internet privacy; World Wide Web; Human–computer interaction; Endocrinology","score_opus":0.050467889196802174,"score_gpt":0.4096574582024001,"score_spread":0.35918956900559795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788615464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9327627,0.0019146374,0.03824203,0.0008699552,0.00021460668,0.0143841235,0.0013701924,0.0013942227,0.008847551],"genre_scores_gemma":[0.80613667,0.0024933324,0.15682484,0.0013382672,0.00012776206,0.02134491,0.0022628384,0.0005317072,0.008939809],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9971994,0.0014222825,0.000380874,0.00022387097,0.0005742131,0.00019936006],"domain_scores_gemma":[0.9934627,0.0045351814,0.00020561478,0.00027447726,0.0013077974,0.00021428769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058256267,0.00093552173,0.000501756,0.000925294,0.0005105318,0.0011347363,0.0007494507,0.0008085122,0.0031089862],"category_scores_gemma":[0.009872311,0.00028768173,0.0007260903,0.0004049354,0.00042637612,0.0010310261,0.001115426,0.00059117365,0.0008478497],"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":[0.00489608,0.012413058,0.06474207,0.020976532,0.00032662405,0.00840561,0.043825835,0.001977367,0.11909912,0.002146176,0.025472065,0.6957194],"study_design_scores_gemma":[0.0029987914,0.070948265,0.44863164,0.011957803,0.0023413997,0.028022448,0.058923993,0.030005043,0.12128936,0.0026764397,0.22084786,0.0013569125],"about_ca_topic_score_codex":0.00092233304,"about_ca_topic_score_gemma":0.0016419956,"teacher_disagreement_score":0.0058256267,"about_ca_system_score_codex":0.00042633608,"about_ca_system_score_gemma":0.00086292217,"threshold_uncertainty_score":0.030809224},"labels":[],"label_agreement":null},{"id":"W2791852179","doi":"10.2196/diabetes.9059","title":"Perceptions of Persons With Type 2 Diabetes Treated in Swedish Primary Health Care: Qualitative Study on Using eHealth Services for Self-Management Support","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Medicinska fakulteten, Umeå Universitet; Umeå Universitet","keywords":"eHealth; Digital health; Empowerment; Qualitative research; Health care; Nursing; Self-management; Medicine; Psychology; Computer science","score_opus":0.03455133628780295,"score_gpt":0.4485978471165557,"score_spread":0.41404651082875277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791852179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970182,0.0006079637,0.00018658892,0.0006618648,0.000025467503,0.00006887718,0.00009740224,0.000002680464,0.0013310108],"genre_scores_gemma":[0.99749386,0.00070378353,0.00017628507,0.0007329052,0.000009638796,0.00007767807,0.0000524124,0.0000048683437,0.0007486909],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99710184,0.0017722726,0.00013700855,0.00018812914,0.00022966639,0.0005710114],"domain_scores_gemma":[0.9953738,0.0031608618,0.00038689974,0.000074039686,0.00034166456,0.0006627321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040620645,0.00032454848,0.00062961486,0.00091434666,0.004841282,0.0028726798,0.00072875153,0.0010670683,0.0028587298],"category_scores_gemma":[0.0050285403,0.0005249923,0.00051644014,0.0009980857,0.0029717064,0.0014413237,0.0023895612,0.0015701702,0.00021889604],"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":[0.00003696134,0.00010795184,0.012203544,0.00023234288,0.000010505199,0.000987771,0.9825342,0.000016848207,0.0004341784,0.00016645703,0.00035570012,0.0029135991],"study_design_scores_gemma":[0.000003815622,0.00006135269,0.0054588937,0.00012316409,0.0000066235516,0.00018505722,0.9927341,0.000017961205,0.00006653279,0.000030689327,0.001306366,0.000005578914],"about_ca_topic_score_codex":0.025387747,"about_ca_topic_score_gemma":0.03203209,"teacher_disagreement_score":0.025387747,"about_ca_system_score_codex":0.0041925157,"about_ca_system_score_gemma":0.0035293181,"threshold_uncertainty_score":0.05047995},"labels":[],"label_agreement":null},{"id":"W2801965378","doi":"10.2196/diabetes.9743","title":"Experiences of Using Web-Based and Mobile Technologies to Support Self-Management of Type 2 Diabetes: Qualitative Study","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Oxford Health NHS Foundation Trust; University of Oxford; Department of Health and Social Care; Diabetes UK; National Institute for Health and Care Research","keywords":"Type 2 diabetes; Qualitative research; Mobile technology; Web application; Self-management; Internet privacy; Diabetes management; Diabetes mellitus; Medicine; Mobile device; World Wide Web; Computer science; Sociology; Social science","score_opus":0.05466266268459436,"score_gpt":0.4730989733495804,"score_spread":0.41843631066498604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801965378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931277,0.00071825477,0.0013777675,0.000965592,0.000042672193,0.00015794998,0.00014669805,0.00001127283,0.0034521404],"genre_scores_gemma":[0.9952454,0.0010209312,0.00078507734,0.0006178755,0.00001896237,0.00024430538,0.00007248722,0.0000182238,0.0019766719],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99462223,0.0038838014,0.00016206846,0.00024440707,0.00035341663,0.0007340793],"domain_scores_gemma":[0.9872902,0.009772209,0.0008097653,0.00022722779,0.0007205174,0.0011800977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008237437,0.00055940636,0.0007165935,0.0012325775,0.0054763127,0.003174259,0.0012648291,0.0013904294,0.0027314643],"category_scores_gemma":[0.011311081,0.0006175752,0.0005187342,0.0013651671,0.0043957364,0.0033529499,0.004901755,0.0018073819,0.00031791558],"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":[0.000034611716,0.000053308107,0.002454426,0.00015701198,0.0000050894923,0.0007174293,0.99263555,0.000021575222,0.0005092782,0.00035704297,0.00025487697,0.0027998313],"study_design_scores_gemma":[0.000004696019,0.000054627184,0.0014845151,0.00016250071,0.000004355269,0.00022872345,0.9943263,0.000056727225,0.00016682346,0.000103032406,0.0033992333,0.000008382896],"about_ca_topic_score_codex":0.0052972,"about_ca_topic_score_gemma":0.008968388,"teacher_disagreement_score":0.008237437,"about_ca_system_score_codex":0.0029024733,"about_ca_system_score_gemma":0.0026692625,"threshold_uncertainty_score":0.04356426},"labels":[],"label_agreement":null},{"id":"W2802254217","doi":"10.2196/diabetes.8603","title":"Effect of Diabetes Online Community Engagement on Health Indicators: Cross-Sectional Study","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":102,"is_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":"Empowerment; Online community; Diabetes mellitus; Psychology; Social media; Diabetes management; Gerontology; Quality of life (healthcare); Community engagement; Medicine; Nursing; Medical education; Type 2 diabetes; Public relations; Computer science; World Wide Web; Political science","score_opus":0.08360709812884042,"score_gpt":0.5097204235015068,"score_spread":0.4261133253726664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802254217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974185,0.00022945904,0.00021521955,0.000066403234,0.000014303629,0.00019740315,0.0009576654,0.000008407466,0.00089269294],"genre_scores_gemma":[0.9979631,0.00010222048,0.0004217663,0.00014374613,0.000019228672,0.00029532617,0.0007436369,0.000005309183,0.000305663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99648005,0.0013982096,0.00043614657,0.0006376014,0.00060635945,0.00044167764],"domain_scores_gemma":[0.99021274,0.002424952,0.0037529022,0.0006958858,0.0013173743,0.0015961945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005203816,0.00037543537,0.00053948833,0.0013796437,0.0011346365,0.0013681178,0.00079776504,0.0010757446,0.0025407523],"category_scores_gemma":[0.008560568,0.0007158663,0.0010387265,0.0016759287,0.0004991983,0.0019391461,0.001858863,0.0017411229,0.00069536496],"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":[0.00019501972,0.00073459215,0.99689215,0.00003733962,0.00013465044,0.000021937814,0.00031134416,0.00002060419,0.000056558918,0.000018996863,0.00016868796,0.0014081609],"study_design_scores_gemma":[0.000035631652,0.00074457756,0.9975502,0.000027286795,0.00009974653,0.00009224351,0.0007679936,0.00023542944,0.000046958085,0.000026592237,0.00036418013,0.000009237745],"about_ca_topic_score_codex":0.004963008,"about_ca_topic_score_gemma":0.005594626,"teacher_disagreement_score":0.005203816,"about_ca_system_score_codex":0.00055152294,"about_ca_system_score_gemma":0.0005622245,"threshold_uncertainty_score":0.027520716},"labels":[],"label_agreement":null},{"id":"W2802561742","doi":"10.2196/diabetes.8316","title":"Models Used in Clinical Decision Support Systems Supporting Healthcare Professionals Treating Chronic Wounds: Systematic Literature Review","year":2018,"lang":"en","type":"review","venue":"JMIR Diabetes","topic":"Pressure Ulcer Prevention and Management","field":"Health Professions","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":"","keywords":"Health professionals; Systematic review; Health care; Healthcare system; Medicine; Clinical decision making; Nursing; Intensive care medicine; MEDLINE; Political science","score_opus":0.12861320957133235,"score_gpt":0.5333030628584816,"score_spread":0.40468985328714924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802561742","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025574816,0.9926621,0.0014521047,0.000388334,0.0001325567,0.0018157983,0.00063895865,0.00003880852,0.00031374092],"genre_scores_gemma":[0.06804861,0.91720635,0.008503985,0.00059232156,0.00011020969,0.004658946,0.00074402575,0.000017852488,0.00011764239],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.96600604,0.019044526,0.0085333865,0.0018105573,0.004101302,0.00050424394],"domain_scores_gemma":[0.89586115,0.08457257,0.011769051,0.0015192463,0.0057483255,0.00052965723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031565987,0.0035738626,0.011289326,0.017957823,0.0011321553,0.0051179086,0.0032376356,0.0026914082,0.0036283247],"category_scores_gemma":[0.12480156,0.0020953764,0.022057863,0.01453978,0.0014121837,0.0050042,0.002507298,0.0022831375,0.00034911762],"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":[0.00032356265,0.000048496986,0.0015898336,0.93212813,0.02203186,0.000070175076,0.00031738522,0.001187576,0.00005208915,0.0006024102,0.0007400125,0.04090856],"study_design_scores_gemma":[0.00053039537,0.00048435596,0.002662665,0.8302769,0.15236321,0.00022535793,0.00052666845,0.0017453782,0.00021079983,0.0015604426,0.009285128,0.00012878969],"about_ca_topic_score_codex":0.018363126,"about_ca_topic_score_gemma":0.029315798,"teacher_disagreement_score":0.031565987,"about_ca_system_score_codex":0.010495755,"about_ca_system_score_gemma":0.02509078,"threshold_uncertainty_score":0.16693884},"labels":[],"label_agreement":null},{"id":"W2807002694","doi":"10.2196/diabetes.9202","title":"New-Onset Diabetes Educator to Educate Children and Their Caregivers About Diabetes at the Time of Diagnosis: Usability Study","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"Diabetes mellitus; Usability; Medicine; Animation; Time management; Computer science; Endocrinology; Human–computer interaction","score_opus":0.01615170682506157,"score_gpt":0.36094717076776417,"score_spread":0.3447954639427026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807002694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967092,0.00025605017,0.0009138426,0.000065601205,0.000027200891,0.0015079633,0.00007323343,0.000021900492,0.00042485973],"genre_scores_gemma":[0.98666465,0.00066090614,0.00807552,0.00019962652,0.000040453488,0.003544262,0.00016864143,0.000016026535,0.0006298038],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9944745,0.0036912237,0.0005341924,0.00039346176,0.00062055286,0.00028612453],"domain_scores_gemma":[0.9823872,0.012921506,0.0008590365,0.00081209565,0.0020412304,0.0009789766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011772228,0.0005870487,0.0010509478,0.0005469955,0.0005135613,0.0005479384,0.0005251347,0.0005633727,0.0019021101],"category_scores_gemma":[0.024949733,0.0003820853,0.0011044192,0.00030049199,0.00041126314,0.0008724997,0.00088592514,0.0005076385,0.00017059164],"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":[0.034107864,0.106125854,0.24976738,0.012691208,0.0020684726,0.0013644363,0.04121158,0.0017131044,0.012980558,0.00035512348,0.00422947,0.53338504],"study_design_scores_gemma":[0.022494325,0.42936516,0.4888591,0.0018578351,0.002501841,0.0015085371,0.023207612,0.0053110253,0.009988931,0.00030550046,0.014292032,0.00030811038],"about_ca_topic_score_codex":0.0013051933,"about_ca_topic_score_gemma":0.0028326106,"teacher_disagreement_score":0.011772228,"about_ca_system_score_codex":0.0005766381,"about_ca_system_score_gemma":0.0010213325,"threshold_uncertainty_score":0.062258244},"labels":[],"label_agreement":null},{"id":"W2807713011","doi":"10.2196/diabetes.9926","title":"A Web-Based Coping Intervention by and for Parents of Very Young Children With Type 1 Diabetes: User-Centered Design","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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 Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Psychological intervention; Psychosocial; Usability; Coping (psychology); Web application; Focus group; Psychology; Stakeholder; Applied psychology; Nursing; Knowledge management; Medicine; Computer science; Clinical psychology; World Wide Web; Psychotherapist","score_opus":0.028498407585288297,"score_gpt":0.3105645831632133,"score_spread":0.28206617557792496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807713011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92180246,0.00036909417,0.022191718,0.0009830545,0.0003837782,0.04831016,0.00095059193,0.0006332102,0.0043760706],"genre_scores_gemma":[0.6762327,0.00045486478,0.13958742,0.0012299453,0.00013598637,0.17822908,0.0003979258,0.00006429584,0.0036677264],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961747,0.0026062885,0.00028179877,0.0004030953,0.00028301208,0.00025111815],"domain_scores_gemma":[0.9952619,0.002963396,0.00038673694,0.0004110052,0.00030168938,0.00067515403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007017239,0.00078247703,0.0007995482,0.000941307,0.0014279465,0.0009941147,0.0012419216,0.0013086324,0.008037213],"category_scores_gemma":[0.008010266,0.00052059814,0.0010210994,0.0004896361,0.0010678383,0.00085472304,0.0020048697,0.0013030681,0.00050746044],"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":[0.06025964,0.17283797,0.026392909,0.00920036,0.00077945914,0.0011717539,0.041277476,0.005524173,0.018496977,0.007085799,0.013781064,0.6431925],"study_design_scores_gemma":[0.21478882,0.4277729,0.12817301,0.0039909184,0.0029137388,0.0007865587,0.036968887,0.026642088,0.030067297,0.019620888,0.10754965,0.00072529697],"about_ca_topic_score_codex":0.00061853445,"about_ca_topic_score_gemma":0.0011220525,"teacher_disagreement_score":0.008037213,"about_ca_system_score_codex":0.0009991556,"about_ca_system_score_gemma":0.0021831652,"threshold_uncertainty_score":0.037111163},"labels":[],"label_agreement":null},{"id":"W2807819410","doi":"10.2196/diabetes.9694","title":"Web-Based Interventions for Depression in Individuals with Diabetes: Review and Discussion","year":2018,"lang":"en","type":"review","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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; Depression (economics); Comorbidity; Diabetes mellitus; Medicine; The Internet; Clinical Practice; Psychiatry; Psychology; Family medicine; Computer science; World Wide Web","score_opus":0.048899228611147885,"score_gpt":0.38004708368566936,"score_spread":0.3311478550745215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807819410","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023938321,0.9991911,0.00003748563,0.00014520544,0.000070003734,0.00005623167,0.000028004979,0.0000039378288,0.00022865405],"genre_scores_gemma":[0.0022356177,0.99708515,0.00021797682,0.00022330608,0.00003762943,0.00010595366,0.000026772577,0.0000012170153,0.00006643399],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9982974,0.0005860272,0.0005437588,0.00012923831,0.0003526846,0.00009092634],"domain_scores_gemma":[0.99102813,0.007424255,0.0007511794,0.00007606987,0.0006093063,0.00011112225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036528963,0.00095347536,0.0041741314,0.003905654,0.0004431306,0.0017311967,0.00184556,0.0018623105,0.004581021],"category_scores_gemma":[0.009664432,0.00038407138,0.0034747433,0.0064715235,0.0004645767,0.0013260273,0.00080838206,0.0011556167,0.00044870767],"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":[0.0001563256,0.00007350713,0.00023830557,0.72354275,0.001294155,0.00010699571,0.00022394357,0.00015307583,0.00017548758,0.00046823296,0.0034962366,0.270071],"study_design_scores_gemma":[0.00019364127,0.00045108687,0.0034132323,0.89825565,0.010701743,0.0005347237,0.00046658932,0.00016872757,0.00032792022,0.00047723393,0.08497838,0.000031031454],"about_ca_topic_score_codex":0.0036034486,"about_ca_topic_score_gemma":0.007633756,"teacher_disagreement_score":0.004581021,"about_ca_system_score_codex":0.0016369948,"about_ca_system_score_gemma":0.004101972,"threshold_uncertainty_score":0.01931864},"labels":[],"label_agreement":null},{"id":"W2810108746","doi":"10.2196/10431","title":"Design and Development of a Context-Aware Knowledge-Based Module for Identifying Relevant Information and Information Gaps in Patients With Type 1 Diabetes Self-Collected Health Data","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":"Context (archaeology); Waterfall model; Agile software development; Computer science; Type 2 diabetes; Health information technology; Identification (biology); Medicine; Reliability (semiconductor); Data science; Knowledge management; Diabetes mellitus; Software; Health care; Software engineering","score_opus":0.035746285409200655,"score_gpt":0.30862350664583543,"score_spread":0.27287722123663477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810108746","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30740967,0.00018317874,0.66283005,0.0008427339,0.00009785272,0.007362744,0.0010343408,0.01654701,0.0036924814],"genre_scores_gemma":[0.30209753,0.00012651285,0.69100374,0.0004943311,0.000020211713,0.0027829923,0.0009267569,0.00031471648,0.002233139],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831176,0.000631735,0.00019962966,0.00047965703,0.0002136481,0.00016370894],"domain_scores_gemma":[0.99409664,0.00361617,0.00039277627,0.00047906538,0.0008866151,0.00052872783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031917195,0.0007322601,0.00047181753,0.0007386654,0.00043980917,0.0013250659,0.0016790376,0.0012874526,0.0031855484],"category_scores_gemma":[0.008839857,0.00057302724,0.00065842224,0.00033329305,0.00043223926,0.0013476792,0.0011910253,0.0008270784,0.00067406974],"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":[0.0023998,0.0068988255,0.06417312,0.0042852107,0.00055900373,0.0031226052,0.019090952,0.022442227,0.122265354,0.0052533504,0.011534826,0.73797476],"study_design_scores_gemma":[0.0021340363,0.009703963,0.10118968,0.0026176914,0.0019949519,0.0061758463,0.008139419,0.508241,0.21701051,0.008423255,0.13373,0.0006396406],"about_ca_topic_score_codex":0.0011709627,"about_ca_topic_score_gemma":0.00091683154,"teacher_disagreement_score":0.0031917195,"about_ca_system_score_codex":0.0005980386,"about_ca_system_score_gemma":0.0020186459,"threshold_uncertainty_score":0.016879678},"labels":[],"label_agreement":null},{"id":"W2823317946","doi":"10.2196/diabetes.9867","title":"The Phased Implementation of a National Telehealth Weight Management Program for Veterans: Mixed-Methods Program Evaluation","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","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 Institute of Diabetes and Digestive and Kidney Diseases; Quality Enhancement Research Initiative; Health Services Research and Development; U.S. Department of Veterans Affairs","keywords":"Telehealth; Program evaluation; Telemedicine; Medical education; Engineering management; Nursing; Medicine; Engineering; Political science; Health care; Public administration","score_opus":0.04636478028033785,"score_gpt":0.5133610496974572,"score_spread":0.46699626941711936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2823317946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8988839,0.00035382927,0.003448119,0.0002772165,0.00010119238,0.09437452,0.0012119178,0.00015005781,0.0011992856],"genre_scores_gemma":[0.6695646,0.0007292146,0.032093335,0.0007657901,0.00017889909,0.2942302,0.0011586654,0.000029195366,0.001250152],"study_design_codex":"nonrandomized_trial","study_design_gemma":"qualitative","domain_scores_codex":[0.9804733,0.013139803,0.0014698157,0.0013430592,0.0018911202,0.0016828619],"domain_scores_gemma":[0.98906624,0.0040388103,0.0023849555,0.0013297406,0.0017139531,0.0014661797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024049109,0.0026149685,0.0021334533,0.0019190293,0.0017820827,0.0017490333,0.0033101123,0.0025893003,0.003567696],"category_scores_gemma":[0.01873067,0.00117098,0.0035589242,0.0013809188,0.0013112344,0.0018972631,0.0025720655,0.0020362253,0.0004829699],"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":[0.17270638,0.4211945,0.03223828,0.0037357705,0.0033337688,0.0002571631,0.003958373,0.0059044384,0.0024847698,0.0010570463,0.0023882359,0.35074127],"study_design_scores_gemma":[0.19998255,0.7172394,0.06238199,0.0009448891,0.0021271505,0.000120658704,0.002578856,0.005978111,0.0038784773,0.0010186819,0.003594923,0.00015438636],"about_ca_topic_score_codex":0.0067934445,"about_ca_topic_score_gemma":0.008661803,"teacher_disagreement_score":0.024049109,"about_ca_system_score_codex":0.0061623417,"about_ca_system_score_gemma":0.012477625,"threshold_uncertainty_score":0.12718534},"labels":[],"label_agreement":null},{"id":"W2884124012","doi":"10.2196/10105","title":"Promoting Self-Care of Diabetic Foot Ulcers Through a Mobile Phone App: User-Centered Design and Evaluation","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetic Foot Ulcer Assessment and Management","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Queensland University of Technology","keywords":"Mobile phone; Diabetic foot; Thematic analysis; Usability; Medicine; Phone; Self-management; Psychology; Internet privacy; Qualitative research; Computer science; Diabetes mellitus; Human–computer interaction","score_opus":0.02497858945004335,"score_gpt":0.3155928959598177,"score_spread":0.2906143065097744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884124012","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9652848,0.00079507247,0.019757243,0.00017446239,0.00006646799,0.01124786,0.00025088777,0.00030754777,0.002115567],"genre_scores_gemma":[0.8271806,0.0014766597,0.14397661,0.00036028426,0.000056015433,0.023728332,0.00044822862,0.00011810726,0.002655198],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9933289,0.004249658,0.00060859264,0.00040753535,0.0010119302,0.0003932391],"domain_scores_gemma":[0.9845018,0.010198073,0.0007035332,0.00060853874,0.0032015261,0.0007865017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013246062,0.0010100689,0.00078838685,0.0012158082,0.00072665716,0.0020014876,0.001140488,0.0011509263,0.0021596353],"category_scores_gemma":[0.016528286,0.0005241058,0.0011283745,0.00041978533,0.0007443662,0.0009579727,0.0011902767,0.00062628434,0.0003427488],"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":[0.014491382,0.032970082,0.060402084,0.019417707,0.00095747295,0.001563654,0.058771323,0.0051698955,0.078622505,0.0018072219,0.004762842,0.7210639],"study_design_scores_gemma":[0.018876577,0.40568656,0.25487605,0.0089893965,0.0077220737,0.0045043146,0.05218768,0.04328653,0.13641377,0.0030925255,0.06308973,0.0012747699],"about_ca_topic_score_codex":0.0008445172,"about_ca_topic_score_gemma":0.0012651284,"teacher_disagreement_score":0.013246062,"about_ca_system_score_codex":0.000736649,"about_ca_system_score_gemma":0.0015177339,"threshold_uncertainty_score":0.07005268},"labels":[],"label_agreement":null},{"id":"W2887631653","doi":"10.2196/10909","title":"Transition Education for Young Adults With Type 1 Diabetes: Pilot Feasibility Study for a Group Telehealth Intervention","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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; Attendance; Telehealth; Psychosocial; Glycemic; Young adult; Descriptive statistics; Intervention (counseling); Diabetes mellitus; Family medicine; Telemedicine; Gerontology; Nursing; Health care; Psychiatry","score_opus":0.03392157598214159,"score_gpt":0.3620821610492246,"score_spread":0.328160585067083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887631653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97225225,0.00011139528,0.0005294133,0.00018670861,0.000056476078,0.025903542,0.00020828196,0.000037253936,0.0007146299],"genre_scores_gemma":[0.9383238,0.00047929224,0.009260878,0.00074481824,0.00012735376,0.049545053,0.00051755167,0.0000105192485,0.0009907323],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9973339,0.0012623463,0.00020321619,0.0001996619,0.0002301369,0.0007708128],"domain_scores_gemma":[0.9973055,0.0007455768,0.00021463665,0.00013789418,0.00031460877,0.0012818709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005321675,0.0008515173,0.00084699376,0.0010470105,0.0015247836,0.000983797,0.000980259,0.0013747842,0.0043783607],"category_scores_gemma":[0.0041045328,0.0006690533,0.0012688392,0.00053683587,0.0006770184,0.0010351618,0.0012693893,0.0013302172,0.00047487917],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_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":[0.05321447,0.6343229,0.07387562,0.002323734,0.00040144072,0.0016277106,0.010903593,0.0006450906,0.010510473,0.00023715493,0.0019625046,0.20997533],"study_design_scores_gemma":[0.07473107,0.69028157,0.21993482,0.0003266122,0.00032984445,0.00029188453,0.008536065,0.0007638552,0.0015807865,0.0001595051,0.002997325,0.00006673028],"about_ca_topic_score_codex":0.0051105665,"about_ca_topic_score_gemma":0.010473222,"teacher_disagreement_score":0.005321675,"about_ca_system_score_codex":0.001097515,"about_ca_system_score_gemma":0.0047641266,"threshold_uncertainty_score":0.028144062},"labels":[],"label_agreement":null},{"id":"W2888401513","doi":"10.2196/diabetes.9333","title":"Outcomes of a Digitally Delivered Low-Carbohydrate Type 2 Diabetes Self-Management Program: 1-Year Results of a Single-Arm Longitudinal Study","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diet and metabolism studies","field":"Medicine","cited_by":62,"is_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 Institutes of Health; University of Michigan","keywords":"Type 2 diabetes; Diabetes mellitus; Medicine; Dementia; Blindness; Gerontology; Amputation; Stroke (engine); Type 2 Diabetes Mellitus; Type 1 diabetes; Physical medicine and rehabilitation; Disease; Physical therapy; Internal medicine; Surgery; Endocrinology; Optometry; Engineering","score_opus":0.022556544608722282,"score_gpt":0.29200931129581015,"score_spread":0.26945276668708784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888401513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99865365,0.00016621566,0.000112078895,0.00006479599,0.000021089007,0.0002540708,0.00042872547,0.000010745887,0.00028855438],"genre_scores_gemma":[0.99599683,0.00023138519,0.0003312326,0.00018980517,0.000057454297,0.0006613113,0.0016116031,0.000008138268,0.0009122202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972138,0.0011522551,0.00023464745,0.00039657525,0.00051891146,0.00048387132],"domain_scores_gemma":[0.99403536,0.00093483034,0.0018808533,0.0005411402,0.0011346821,0.0014731357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008539109,0.0010253082,0.0014880934,0.001301038,0.0016044939,0.0016483025,0.00087679835,0.0021518848,0.0013755484],"category_scores_gemma":[0.0066993022,0.0007115744,0.0028852003,0.00083018903,0.000756877,0.0018081306,0.0015061672,0.0020129825,0.00047250977],"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":[0.065955274,0.06507933,0.8280474,0.00023270957,0.003885842,0.00024336267,0.0014981783,0.0007405616,0.000997248,0.00007194802,0.0013633573,0.031884816],"study_design_scores_gemma":[0.0082754,0.060783703,0.9256063,0.00009906137,0.0018307613,0.00009721514,0.00084957475,0.0010727092,0.00054896524,0.000068504356,0.00067674794,0.000090990034],"about_ca_topic_score_codex":0.011656619,"about_ca_topic_score_gemma":0.008676302,"teacher_disagreement_score":0.011656619,"about_ca_system_score_codex":0.0014965293,"about_ca_system_score_gemma":0.0016384302,"threshold_uncertainty_score":0.045159698},"labels":[],"label_agreement":null},{"id":"W2896927272","doi":"10.2196/10212","title":"Prediction of Glucose Metabolism Disorder Risk Using a Machine Learning Algorithm: Pilot Study","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","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":"Machine learning; Computer science; Artificial intelligence; Algorithm","score_opus":0.13948922105321357,"score_gpt":0.43684388561490384,"score_spread":0.29735466456169024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896927272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945205,0.00008900839,0.004661525,0.000080956386,0.0000150599835,0.00022428088,0.00012897386,0.00007299835,0.00020681141],"genre_scores_gemma":[0.9883051,0.00009825862,0.010643935,0.000046685418,0.000030984094,0.0002324676,0.0003744647,0.00000868854,0.0002593764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989586,0.00070551404,0.000052299933,0.00013521282,0.00007204462,0.000076362616],"domain_scores_gemma":[0.9914916,0.0061611705,0.00026368306,0.00064698205,0.0010569858,0.00037953563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004800408,0.000860314,0.00081320107,0.00054005865,0.00025949575,0.00036099777,0.0005802446,0.0006963056,0.0013302459],"category_scores_gemma":[0.00853963,0.00025119542,0.0008015033,0.00036926247,0.00032002234,0.0006410225,0.00038640862,0.00085419865,0.0004008273],"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":[0.021464968,0.040258035,0.6122223,0.00032718552,0.001082845,0.0008911077,0.00063515676,0.0824677,0.0071344865,0.0003879136,0.0026450003,0.23048325],"study_design_scores_gemma":[0.0026895793,0.05428022,0.21642467,0.000038911778,0.00037165784,0.00045902326,0.0002825201,0.72096735,0.0032444252,0.00045162326,0.00072192185,0.0000680596],"about_ca_topic_score_codex":0.0030339686,"about_ca_topic_score_gemma":0.0012347902,"teacher_disagreement_score":0.004800408,"about_ca_system_score_codex":0.00032592393,"about_ca_system_score_gemma":0.000550156,"threshold_uncertainty_score":0.025387287},"labels":[],"label_agreement":null},{"id":"W2897179691","doi":"10.2196/10907","title":"YouTube Information about Diabetes and Oral Healthcare (Preprint)","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"Preprint; Health care; Diabetes mellitus; Medicine; Computer science; World Wide Web; Political science","score_opus":0.011998498730617433,"score_gpt":0.2854070119019781,"score_spread":0.27340851317136067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897179691","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018180937,0.011881433,0.0009656867,0.04238674,0.04461699,0.000575692,0.42457533,0.0025836588,0.4542336],"genre_scores_gemma":[0.037240706,0.011486473,0.0018535584,0.010167982,0.021694265,0.00041593055,0.20323758,0.001064698,0.7128388],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99969983,0.000036682144,0.000018762012,0.000023159044,0.00016832334,0.00005341569],"domain_scores_gemma":[0.99754745,0.000765344,0.00013481786,0.0000731287,0.0010882557,0.00039096357],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038483244,0.0006713309,0.00058596814,0.002553027,0.0011415764,0.0021522115,0.00028739855,0.0010684981,0.32541806],"category_scores_gemma":[0.0045277826,0.00015399276,0.00035683642,0.0024635894,0.00021546097,0.0015299639,0.0011992542,0.00088289694,0.10892792],"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":[0.000051664752,0.000015718333,0.0004521224,0.00021450891,0.0000052629234,0.000040613937,0.000054255273,0.00001805739,0.00009028643,0.00011985981,0.9824139,0.01652377],"study_design_scores_gemma":[0.00006336106,0.000056461493,0.011770088,0.0005652013,0.000029975921,0.00014644451,0.0008066301,0.0002922123,0.0004224838,0.0005767303,0.98524714,0.000023232753],"about_ca_topic_score_codex":0.04849389,"about_ca_topic_score_gemma":0.10636003,"teacher_disagreement_score":0.32541806,"about_ca_system_score_codex":0.0010344686,"about_ca_system_score_gemma":0.0013525932,"threshold_uncertainty_score":0.9622093},"labels":[],"label_agreement":null},{"id":"W2898953128","doi":"10.2196/11177","title":"Content Analysis of Metaphors About Hypertension and Diabetes on Twitter: Exploratory Mixed-Methods Study","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Language, Metaphor, and Cognition","field":"Psychology","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 Heart, Lung, and Blood Institute","keywords":"Metaphor; Diabetes mellitus; Disease; Public health; Exploratory research; Object (grammar); Medicine; Psychology; Computer science; Sociology; Pathology; Artificial intelligence; Linguistics; Endocrinology; Social science","score_opus":0.05910732984452725,"score_gpt":0.35590436006821063,"score_spread":0.29679703022368337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898953128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921468,0.0003539769,0.0020540804,0.00028212674,0.000019720797,0.0023774488,0.001337561,0.000019448393,0.0014088127],"genre_scores_gemma":[0.97065115,0.0004745421,0.010562958,0.00069570274,0.000042965625,0.015087727,0.0013734369,0.000042098523,0.0010694562],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99189305,0.0054647867,0.0007419783,0.00069683435,0.0006815766,0.0005218229],"domain_scores_gemma":[0.96129036,0.030126793,0.0039277403,0.0013316297,0.0028155323,0.00050804066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013890121,0.00056786265,0.001144993,0.0032504064,0.0026142872,0.003158495,0.000972891,0.0009511957,0.0038778987],"category_scores_gemma":[0.04338335,0.0006636815,0.0011271724,0.0034754435,0.0013692791,0.00344241,0.0026853867,0.0013760496,0.00063953904],"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":[0.0024334579,0.0036454159,0.2631624,0.007255114,0.00070835423,0.0012859176,0.63317156,0.00047079768,0.003570818,0.0036387574,0.0058390987,0.074818335],"study_design_scores_gemma":[0.0005975771,0.0024591344,0.3375563,0.0022469347,0.0007442714,0.0007009585,0.6244964,0.0047687436,0.0020674816,0.00516781,0.018886061,0.00030835983],"about_ca_topic_score_codex":0.003033963,"about_ca_topic_score_gemma":0.0046127043,"teacher_disagreement_score":0.013890121,"about_ca_system_score_codex":0.0021114252,"about_ca_system_score_gemma":0.0020648136,"threshold_uncertainty_score":0.07345885},"labels":[],"label_agreement":null},{"id":"W2899258524","doi":"10.2196/diabetes.8645","title":"Improved Diabetes Care Management Through a Text-Message Intervention for Low-Income Patients: Mixed-Methods Pilot Study","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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":"University of California Berkeley","keywords":"Diabetes mellitus; Psychological intervention; Intervention (counseling); Diabetes management; Medicine; Text messaging; Text message; Gerontology; Type 2 diabetes; Nursing; Computer science; Internet privacy","score_opus":0.014391585008081033,"score_gpt":0.3423673883411053,"score_spread":0.3279758033330243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899258524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875179,0.00022632137,0.0008445217,0.00027749606,0.000048860595,0.010073525,0.00029078312,0.000024677842,0.0006959262],"genre_scores_gemma":[0.9422786,0.00076686044,0.008312562,0.0014288673,0.00014929535,0.04540784,0.00034329892,0.000013212493,0.0012994653],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99613947,0.002382905,0.00032687763,0.0003242788,0.00028610628,0.0005403402],"domain_scores_gemma":[0.99584913,0.001828968,0.0006408512,0.0003170293,0.00061177806,0.00075229176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009164996,0.0009472774,0.0010403115,0.0008972197,0.0019300606,0.0013044141,0.0012572567,0.0010517536,0.005365329],"category_scores_gemma":[0.0070923246,0.000538199,0.0016644566,0.0007078666,0.0007961027,0.0012996973,0.0014177455,0.0010277609,0.00061208016],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_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":[0.056951676,0.42315271,0.10380021,0.00572845,0.0016590393,0.0011649345,0.05360951,0.00072859495,0.006570203,0.0009590096,0.0045718034,0.34110385],"study_design_scores_gemma":[0.09038434,0.6395951,0.19645688,0.002077586,0.0019601837,0.0004541097,0.049628444,0.002762995,0.003531458,0.0014609267,0.011418081,0.0002698532],"about_ca_topic_score_codex":0.0034481941,"about_ca_topic_score_gemma":0.00634161,"teacher_disagreement_score":0.009164996,"about_ca_system_score_codex":0.0019069267,"about_ca_system_score_gemma":0.005080526,"threshold_uncertainty_score":0.048469782},"labels":[],"label_agreement":null},{"id":"W2900313751","doi":"10.2196/11199","title":"Patient Portal Use in Diabetes Management: Literature Review","year":2018,"lang":"en","type":"review","venue":"JMIR Diabetes","topic":"Electronic Health Records Systems","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":"Patient portal; PsycINFO; Medicine; Health literacy; MEDLINE; Observational study; Usability; Family medicine; Health care; Internal medicine","score_opus":0.0630286106271288,"score_gpt":0.4413150741404951,"score_spread":0.37828646351336626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900313751","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010675509,0.997849,0.00008212355,0.00032874715,0.000088098146,0.000072317605,0.0001411706,0.0000057725642,0.0003653063],"genre_scores_gemma":[0.0076266564,0.9913645,0.00034939544,0.00031411016,0.00007646779,0.000105273255,0.000109180146,0.0000024275146,0.00005205736],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9946741,0.0016296774,0.0022201308,0.0003567922,0.0009647438,0.00015446472],"domain_scores_gemma":[0.95404893,0.034972377,0.00670327,0.00043749114,0.003349576,0.00048829854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070867757,0.00084435433,0.003199763,0.015034621,0.00072143116,0.0027325142,0.0017684831,0.0017263629,0.0039804885],"category_scores_gemma":[0.028098954,0.00076307374,0.003069513,0.02140121,0.00088628655,0.0029190234,0.0014420074,0.0011064501,0.00038315495],"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":[0.00014630657,0.000069854126,0.002718127,0.8042655,0.001996838,0.00031158,0.000808125,0.0001186388,0.00016640531,0.00051240507,0.005200429,0.18368588],"study_design_scores_gemma":[0.000067460285,0.00021986228,0.0085461065,0.9309228,0.012263184,0.0012664978,0.0011842985,0.00009010412,0.0001823423,0.0004064145,0.044812337,0.000038509406],"about_ca_topic_score_codex":0.005289597,"about_ca_topic_score_gemma":0.011610733,"teacher_disagreement_score":0.015034621,"about_ca_system_score_codex":0.0023846384,"about_ca_system_score_gemma":0.01047215,"threshold_uncertainty_score":0.037478864},"labels":[],"label_agreement":null},{"id":"W2900536151","doi":"10.2196/diabetes.9531","title":"Glucose Control, Disease Burden, and Educational Gaps in People With Type 1 Diabetes: Exploratory Study of an Integrated Mobile Diabetes App","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Radboud Universitair Medisch Centrum","keywords":"Diabetes mellitus; Type 2 diabetes; Disease; Medicine; Control (management); Diabetes management; Disease management; Exploratory research; Disease control; Gerontology; Computer science; Environmental health; Endocrinology; Internal medicine; Artificial intelligence","score_opus":0.016234364931160476,"score_gpt":0.35964104718619067,"score_spread":0.3434066822550302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900536151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99938774,0.000025671461,0.000057621543,0.000030022855,0.0000017781024,0.00021969099,0.0000459975,0.000004022879,0.00022741454],"genre_scores_gemma":[0.99748296,0.00011850202,0.0012244005,0.00011593945,0.000008202811,0.0006408768,0.000096425756,0.0000054189,0.00030730988],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985689,0.00067636295,0.00012908348,0.00014687027,0.0002356103,0.00024323918],"domain_scores_gemma":[0.9949955,0.0030851073,0.0006880133,0.00019376467,0.0005170444,0.0005205218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031494834,0.0005287215,0.0005303809,0.00069965544,0.00094803894,0.0011922545,0.0004922954,0.00076223945,0.0018440937],"category_scores_gemma":[0.008879576,0.00038857307,0.0008571106,0.00047990092,0.00047027852,0.001218307,0.001392315,0.0007334383,0.0002288252],"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":[0.005929476,0.065355696,0.74668723,0.001923837,0.0005464961,0.0021892723,0.07028391,0.0007243074,0.004147965,0.00022531125,0.001502633,0.10048383],"study_design_scores_gemma":[0.0015849384,0.07777235,0.8387716,0.00042113397,0.00083235715,0.0014798463,0.0680556,0.004905396,0.0020609929,0.00021054898,0.0037429687,0.00016230061],"about_ca_topic_score_codex":0.002747473,"about_ca_topic_score_gemma":0.0038126553,"teacher_disagreement_score":0.0031494834,"about_ca_system_score_codex":0.00062266923,"about_ca_system_score_gemma":0.0009658539,"threshold_uncertainty_score":0.01665622},"labels":[],"label_agreement":null},{"id":"W2904214837","doi":"10.2196/10925","title":"Crossing the Digital Divide in Online Self-Management Support: Analysis of Usage Data From HeLP-Diabetes","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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 Institute for Health and Care Research","keywords":"Digital divide; Psychological intervention; The Internet; Digital health; Socioeconomic status; Internet privacy; Ethnic group; Gerontology; Affect (linguistics); Health care; Psychology; Medicine; Computer science; Nursing; Environmental health; World Wide Web; Political science; Population","score_opus":0.05794444376684319,"score_gpt":0.4244933604016763,"score_spread":0.3665489166348331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904214837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974221,0.00019497793,0.00008613679,0.0000309793,0.0000019097797,0.00007818244,0.001777605,0.0000028398354,0.00040527267],"genre_scores_gemma":[0.9964301,0.00022672313,0.00026396432,0.00004578219,0.000007160788,0.00025332964,0.0024674968,0.0000058631163,0.0002996541],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99449265,0.0023515425,0.001161703,0.0004358136,0.001118756,0.00043951478],"domain_scores_gemma":[0.97374314,0.011431125,0.01000749,0.0009724206,0.0028460075,0.0009997735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043575303,0.00024901994,0.0005397592,0.0051371004,0.00050985074,0.0015412751,0.00061454804,0.0006792011,0.0016448786],"category_scores_gemma":[0.014225454,0.00033593667,0.0008849242,0.007886266,0.0006005341,0.0011060975,0.0017789064,0.000582262,0.00054332643],"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":[0.0001931277,0.000099438934,0.99361414,0.00011695291,0.00006906074,0.000071306946,0.0017470636,0.00004582301,0.00007469712,0.000023553406,0.00017950105,0.0037653602],"study_design_scores_gemma":[0.000011361112,0.00018983011,0.9961117,0.000050189,0.00003748197,0.00016056528,0.002615392,0.00021514058,0.00008542494,0.000009362702,0.00050442887,0.000009132829],"about_ca_topic_score_codex":0.014395976,"about_ca_topic_score_gemma":0.017656146,"teacher_disagreement_score":0.014395976,"about_ca_system_score_codex":0.0013081309,"about_ca_system_score_gemma":0.0010355188,"threshold_uncertainty_score":0.028624356},"labels":[],"label_agreement":null},{"id":"W2904557426","doi":"10.2196/10368","title":"Achieving Value-Based Care in Chronic Disease Management: Intervention Study","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management 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":"Deutscher Akademischer Austauschdienst","keywords":"Diabetes mellitus; Medicine; Disease; Disease management; Chronic disease; Blood sugar; Intervention (counseling); Health care; Stress management; Quality of life (healthcare); Gerontology; Family medicine; Nursing; Internal medicine; Endocrinology; Clinical psychology","score_opus":0.011260592886935138,"score_gpt":0.31308551621201225,"score_spread":0.3018249233250771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904557426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.959074,0.00042390317,0.0006075144,0.0008315459,0.00015717495,0.035429552,0.00042427934,0.000040922627,0.0030110609],"genre_scores_gemma":[0.82893854,0.0011410329,0.012179029,0.001780666,0.0003365731,0.15178555,0.0005638665,0.000015139326,0.0032596097],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9933757,0.0033612272,0.0005254641,0.00062672474,0.00063816796,0.0014727331],"domain_scores_gemma":[0.994364,0.0017066696,0.000747123,0.00037767558,0.0004813747,0.0023231187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072875624,0.001128726,0.0022488933,0.0012311696,0.0028141285,0.0018125811,0.0015822276,0.0024415452,0.012518378],"category_scores_gemma":[0.007450717,0.0011663835,0.0018731144,0.0012435438,0.0017667322,0.0019616147,0.0035689382,0.004422229,0.0010657223],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_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":[0.07146665,0.7509829,0.014121585,0.005084712,0.00060489075,0.00029294012,0.01064878,0.0005663236,0.0014372767,0.0015196824,0.003731144,0.13954319],"study_design_scores_gemma":[0.351181,0.5302286,0.091204494,0.0016605022,0.00082306867,0.00013808804,0.010088883,0.0011792181,0.0007238347,0.0013913718,0.011237269,0.00014363363],"about_ca_topic_score_codex":0.0033435011,"about_ca_topic_score_gemma":0.005261728,"teacher_disagreement_score":0.012518378,"about_ca_system_score_codex":0.0034362467,"about_ca_system_score_gemma":0.010730024,"threshold_uncertainty_score":0.041878164},"labels":[],"label_agreement":null},{"id":"W2906882557","doi":"10.2196/10350","title":"Perceptions and Acceptability of Text Messaging for Diabetes Care in Primary Care in Argentina: Exploratory Study","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"World Diabetes Foundation","keywords":"Primary care; Exploratory research; Perception; Psychology; Medicine; Family medicine; Nursing; Medical education; Sociology","score_opus":0.030565949653034184,"score_gpt":0.39719965815220465,"score_spread":0.3666337084991705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906882557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99817264,0.00014309959,0.000070209906,0.0002325371,0.0000073034994,0.00008628631,0.00006451493,0.0000016608774,0.0012217677],"genre_scores_gemma":[0.9987074,0.0002649946,0.00027167282,0.00022711499,0.000011690147,0.000107513,0.00005506361,0.000002410646,0.0003521753],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9984642,0.00086576026,0.000101444486,0.00012158997,0.00020950379,0.00023758759],"domain_scores_gemma":[0.9969367,0.0013943205,0.00066071335,0.00007718421,0.00045341748,0.0004778067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023963647,0.00025379536,0.00042965036,0.00043256796,0.0016420472,0.0014311404,0.00039064948,0.000553844,0.0019947847],"category_scores_gemma":[0.0054709893,0.0002596472,0.00025658385,0.0004835397,0.00058122154,0.0004788705,0.00076277566,0.0006685953,0.00011491036],"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":[0.00045436245,0.0026853315,0.59443665,0.00070818426,0.000049140523,0.0026044557,0.35270002,0.00011030594,0.005520104,0.00044826133,0.0018994976,0.03838372],"study_design_scores_gemma":[0.00007225489,0.0024225498,0.75327426,0.00032775954,0.000054084423,0.0008787899,0.23392084,0.0004913995,0.00038594453,0.00009491939,0.00804684,0.000030362144],"about_ca_topic_score_codex":0.031648852,"about_ca_topic_score_gemma":0.028865887,"teacher_disagreement_score":0.031648852,"about_ca_system_score_codex":0.0026421465,"about_ca_system_score_gemma":0.0018851659,"threshold_uncertainty_score":0.06292927},"labels":[],"label_agreement":null},{"id":"W2907204064","doi":"10.2196/12140","title":"Electronic Health Lifestyle Coaching Among Diabetes Patients in a Real-Life Municipality Setting: Observational Study","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Novo Nordisk Fonden; Syddansk Universitet","keywords":"Observational study; Coaching; Health coaching; Diabetes mellitus; Gerontology; Medicine; Family medicine; Psychology; Internal medicine; Psychotherapist","score_opus":0.07258331099773388,"score_gpt":0.43769687932119017,"score_spread":0.3651135683234563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907204064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99956983,0.00006377667,0.000052158844,0.000015990641,0.0000018340609,0.000068136906,0.00013071143,0.0000017541838,0.00009576807],"genre_scores_gemma":[0.99895763,0.000113467664,0.00024142826,0.000063210005,0.000010177187,0.00015845064,0.00032565987,0.0000023931061,0.00012761152],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982369,0.0007176777,0.00019841595,0.00032747345,0.000237908,0.00028166134],"domain_scores_gemma":[0.99634296,0.0005577595,0.0014972041,0.00034303335,0.00038773805,0.00087116734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013937233,0.0005038672,0.00076552463,0.0009947058,0.0020841914,0.0012276856,0.0005857973,0.0009730426,0.001428311],"category_scores_gemma":[0.0035036686,0.0007278915,0.0008391365,0.0018130436,0.0007876813,0.00083041814,0.0012109131,0.0010445759,0.00038990332],"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":[0.00049908046,0.0027008585,0.99121827,0.000101764985,0.00012444392,0.0002886553,0.0021789751,0.00006132875,0.0003287562,0.000013842063,0.0002063952,0.0022775026],"study_design_scores_gemma":[0.00019440643,0.0027499625,0.98997444,0.000039785755,0.00011170669,0.00034073266,0.0055468665,0.0002144522,0.00012108636,0.000017089396,0.000659829,0.00002958454],"about_ca_topic_score_codex":0.024395388,"about_ca_topic_score_gemma":0.038503107,"teacher_disagreement_score":0.024395388,"about_ca_system_score_codex":0.001577281,"about_ca_system_score_gemma":0.0016740104,"threshold_uncertainty_score":0.048506737},"labels":[],"label_agreement":null},{"id":"W2908002217","doi":"10.2196/11526","title":"Diabetes, Care Homes, and the Influence of Technology on Practice and Care Delivery in Care Homes: Systematic Review and Qualitative Synthesis","year":2018,"lang":"en","type":"review","venue":"JMIR Diabetes","topic":"Geriatric Care and Nursing Homes","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":true,"ca_institutions":"","funders":"","keywords":"Multidisciplinary approach; Quarter (Canadian coin); Medicine; Nursing; Intervention (counseling); Health care; Qualitative research; Family medicine","score_opus":0.028540014055651045,"score_gpt":0.41335810569678216,"score_spread":0.3848180916411311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908002217","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030687904,0.927374,0.0034361791,0.0037662878,0.00046615256,0.02110213,0.008290727,0.000055032866,0.004821597],"genre_scores_gemma":[0.23462348,0.68509907,0.016838677,0.0034300417,0.00016690484,0.056267828,0.0020151036,0.000045306806,0.0015136524],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.949759,0.026975837,0.014607618,0.0019069848,0.0054032397,0.0013472809],"domain_scores_gemma":[0.8863637,0.09482146,0.008927525,0.0014743254,0.007764516,0.00064846105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.053690594,0.0012091605,0.0067796884,0.01667983,0.0017123293,0.005147148,0.0019480555,0.0016946896,0.004706614],"category_scores_gemma":[0.1331654,0.0011489224,0.0055825426,0.020504748,0.0021462904,0.004532201,0.004775261,0.0013735403,0.00026492626],"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":[0.0002167529,0.00003181508,0.0019001348,0.93817466,0.0036058812,0.00027223694,0.017135719,0.00021258362,0.00020676236,0.001294019,0.0017970466,0.035152424],"study_design_scores_gemma":[0.00021849544,0.00022465108,0.0047307783,0.92752236,0.016125793,0.00032640624,0.02394042,0.00013448358,0.00038427094,0.0011191666,0.0251964,0.0000767624],"about_ca_topic_score_codex":0.015721925,"about_ca_topic_score_gemma":0.03180841,"teacher_disagreement_score":0.053690594,"about_ca_system_score_codex":0.01571004,"about_ca_system_score_gemma":0.039034158,"threshold_uncertainty_score":0.2839464},"labels":[],"label_agreement":null},{"id":"W2912456748","doi":"10.2196/11462","title":"Influence of Patient Characteristics and Psychological Needs on Diabetes Mobile App Usability in Adults With Type 1 or Type 2 Diabetes: Crossover Randomized Trial","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"Sigma Theta Tau International; Robert Wood Johnson Foundation","keywords":"Usability; Mobile apps; Crossover study; Type 2 diabetes; Randomized controlled trial; Diabetes mellitus; Type 1 diabetes; Psychology; Mobile device; Medicine; Clinical psychology; Applied psychology; Computer science; World Wide Web; Human–computer interaction; Alternative medicine; Internal medicine; Endocrinology","score_opus":0.021043026591778497,"score_gpt":0.37508215405849527,"score_spread":0.3540391274667168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912456748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97564936,0.0017969056,0.00074901315,0.00027600757,0.00042721213,0.019406887,0.00056026684,0.00007935346,0.0010550515],"genre_scores_gemma":[0.9590443,0.0011934375,0.003055031,0.00053209875,0.00047771682,0.033655845,0.00034489617,0.000016620928,0.001679865],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99565965,0.002545095,0.00047192269,0.0006259533,0.00029608223,0.00040120026],"domain_scores_gemma":[0.9933895,0.0030722683,0.0016112733,0.00050059747,0.00043819565,0.0009883003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005207268,0.001787029,0.0034222372,0.00069847394,0.0008722275,0.0015752262,0.0010260757,0.0027895456,0.0089811245],"category_scores_gemma":[0.008529527,0.0009853184,0.0029837848,0.00080323895,0.0015223961,0.0015842913,0.00088885747,0.0024434424,0.0008962294],"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":[0.96254516,0.025692772,0.0020490051,0.0007483304,0.0012295081,0.00003018528,0.00015403812,0.00012954608,0.00052994175,0.000053494252,0.0002628729,0.0065752203],"study_design_scores_gemma":[0.8298025,0.16370872,0.004529932,0.000053996984,0.0008393068,0.000015993432,0.00006674616,0.000331848,0.00020584377,0.00011184457,0.00031401255,0.00001917174],"about_ca_topic_score_codex":0.0015250404,"about_ca_topic_score_gemma":0.0019070139,"teacher_disagreement_score":0.0089811245,"about_ca_system_score_codex":0.0009774351,"about_ca_system_score_gemma":0.0017521498,"threshold_uncertainty_score":0.030044913},"labels":[],"label_agreement":null},{"id":"W2916571996","doi":"10.2196/12985","title":"Short Message Service Text Message Support for Weight Loss in Patients With Prediabetes: Pragmatic Trial","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"","keywords":"Prediabetes; Glycated hemoglobin; Medicine; Weight loss; Randomized controlled trial; Diabetes mellitus; Demography; Gerontology; Type 2 diabetes; Obesity; Internal medicine","score_opus":0.014900552032081668,"score_gpt":0.34541001346493777,"score_spread":0.3305094614328561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916571996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97527504,0.006929172,0.00081686454,0.002500789,0.0008426005,0.009162848,0.00090710714,0.00012627567,0.003439428],"genre_scores_gemma":[0.98027706,0.0021044607,0.0020105194,0.0015967512,0.00054262223,0.011594664,0.00042599704,0.00001162933,0.0014363846],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99829406,0.0012024514,0.00015179833,0.00012770467,0.00009632394,0.00012764233],"domain_scores_gemma":[0.9983058,0.000610103,0.00043492852,0.00009387429,0.000087046945,0.00046824125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026449428,0.0010122673,0.0017055552,0.00046800854,0.00051908067,0.0009017478,0.00055507006,0.0015050619,0.009888666],"category_scores_gemma":[0.0052393014,0.00037782284,0.002858212,0.0004828373,0.00070584676,0.0010391636,0.0007838846,0.0019648662,0.0005053802],"study_design_candidate":"nonrandomized_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":[0.92041194,0.0136760045,0.0019228004,0.00426209,0.0029089667,0.00008171912,0.00024430492,0.00037239952,0.0006103969,0.00031900447,0.0015622495,0.053628117],"study_design_scores_gemma":[0.92943376,0.06386722,0.0036881203,0.0003967431,0.00079169136,0.00002760606,0.00010331861,0.00043110558,0.00011925301,0.0002828055,0.00084011303,0.000018374647],"about_ca_topic_score_codex":0.0017752842,"about_ca_topic_score_gemma":0.0024938805,"teacher_disagreement_score":0.009888666,"about_ca_system_score_codex":0.0010269358,"about_ca_system_score_gemma":0.0018261976,"threshold_uncertainty_score":0.033080935},"labels":[],"label_agreement":null},{"id":"W2917165792","doi":"10.2196/10992","title":"Impact of New Technologies for Middle-Aged and Older Patients: In-Depth Interviews With Type 2 Diabetes Patients Using Continuous Glucose Monitoring","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":"Glycated hemoglobin; Medicine; Diabetes mellitus; Type 1 diabetes; Feeling; Diabetes management; Continuous glucose monitoring; Blood glucose monitoring; Blood Glucose Self-Monitoring; Type 2 diabetes; Self-monitoring; Physical therapy; Psychology; Social psychology","score_opus":0.030224442484434115,"score_gpt":0.31421178647017156,"score_spread":0.28398734398573744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917165792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985844,0.0002336215,0.00012616848,0.00044024317,0.000016479255,0.00010170091,0.00002759672,0.0000037598902,0.00046601586],"genre_scores_gemma":[0.99809796,0.00047614903,0.0003423971,0.0005775946,0.000017532393,0.00013647949,0.000022808577,0.0000024391966,0.00032670732],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9971666,0.0018609322,0.00012560305,0.00011443858,0.0001510297,0.00058127235],"domain_scores_gemma":[0.9945957,0.0027100586,0.0007947826,0.00010215449,0.0003475012,0.0014498058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046503292,0.0005653315,0.0006526355,0.000704261,0.003766591,0.0019490655,0.0006399076,0.0012578316,0.0016538721],"category_scores_gemma":[0.007820268,0.000578697,0.0005639836,0.00043991124,0.0014895606,0.0015262673,0.0025343387,0.0021523447,0.00019832011],"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":[0.00023143351,0.0005703748,0.04388879,0.00021070734,0.000022992797,0.0014248501,0.94281906,0.0000822644,0.0022028654,0.00012283034,0.0007737985,0.0076501435],"study_design_scores_gemma":[0.000039233913,0.0010531722,0.03146494,0.0001099045,0.00002436189,0.00048677847,0.96246904,0.00017286051,0.00038363,0.00007155531,0.0036900323,0.000034433902],"about_ca_topic_score_codex":0.0063994713,"about_ca_topic_score_gemma":0.013404927,"teacher_disagreement_score":0.0063994713,"about_ca_system_score_codex":0.0021489463,"about_ca_system_score_gemma":0.002166465,"threshold_uncertainty_score":0.024593532},"labels":[],"label_agreement":null},{"id":"W2921150196","doi":"10.2196/13634","title":"Glycated Hemoglobin Differences Among Blog-Reading Adults With Type 1 Diabetes Compared With Those Who Do Not Read Blogs: Cross-Sectional Study","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Health Literacy and Information Accessibility","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":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Social media; Glycated hemoglobin; Microblogging; Reading (process); Type 1 diabetes; Type 2 diabetes; Glycated haemoglobin; Cross-sectional study; Psychology; Diabetes mellitus; Hemoglobin; Medicine; Internet privacy; Computer science; World Wide Web; Internal medicine; Endocrinology; Pathology","score_opus":0.03580329862843107,"score_gpt":0.385334490369418,"score_spread":0.34953119174098696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921150196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99770606,0.00026778123,0.000035498146,0.00006742303,0.000015213044,0.00003076568,0.0008731103,0.0000029407295,0.0010012583],"genre_scores_gemma":[0.9985461,0.00013721969,0.000074112344,0.00014800398,0.000015072512,0.000039081846,0.000543431,0.0000019469253,0.00049499114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995448,0.000075781885,0.00007524092,0.000115509494,0.000113856506,0.00007480027],"domain_scores_gemma":[0.99834037,0.0003209903,0.0007009562,0.000092097274,0.0002627488,0.00028273853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072040403,0.00019500399,0.00034343667,0.0007938452,0.00064993167,0.00085673505,0.0002855996,0.0007808227,0.0032150305],"category_scores_gemma":[0.002540827,0.0003704445,0.00051796366,0.0010198244,0.00022692436,0.000897566,0.00050947984,0.0009413365,0.00061747804],"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":[0.00009831651,0.00019290896,0.99831367,0.000022517013,0.000052131763,0.000022311699,0.0002241179,0.0000054332436,0.000054141085,0.00000880893,0.00018883098,0.0008168253],"study_design_scores_gemma":[0.000008907108,0.00021570442,0.99878234,0.000013886441,0.000038622955,0.00007869583,0.00062804774,0.000036976162,0.00001938657,0.000011291083,0.00016249974,0.0000036042825],"about_ca_topic_score_codex":0.0074176434,"about_ca_topic_score_gemma":0.008702914,"teacher_disagreement_score":0.0074176434,"about_ca_system_score_codex":0.00029666733,"about_ca_system_score_gemma":0.00019842734,"threshold_uncertainty_score":0.014748931},"labels":[],"label_agreement":null},{"id":"W2923990085","doi":"10.2196/13857","title":"Web-Based Benefit-Finding Writing for Adults with Type 1 or Type 2 Diabetes: Preliminary Randomized Controlled Trial","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mental Health via Writing","field":"Psychology","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":"University of New South Wales","keywords":"Randomized controlled trial; Psychological intervention; Distress; Type 2 diabetes; Mental health; Type 2 Diabetes Mellitus; Feeling; Diabetes mellitus; Psychology; Clinical psychology; Type 1 diabetes; Mental illness; Subclinical infection; Medicine; Psychiatry; Social psychology; Internal medicine","score_opus":0.021989995488050685,"score_gpt":0.3315339823225118,"score_spread":0.3095439868344611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923990085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9232042,0.021965697,0.0015692664,0.0025972347,0.0019224377,0.040600404,0.0029269203,0.00042981948,0.0047840322],"genre_scores_gemma":[0.9162977,0.010793926,0.0065418296,0.0026050229,0.0010898797,0.05747572,0.0011950817,0.000033585897,0.003967165],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99874854,0.00066368276,0.00016844727,0.00018446862,0.000096779484,0.00013806183],"domain_scores_gemma":[0.99728835,0.0012069691,0.00058006885,0.00013904541,0.00019117814,0.0005944418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026362624,0.0013540476,0.004063585,0.00062972435,0.00073139323,0.0012454364,0.0011910705,0.0025441684,0.01459478],"category_scores_gemma":[0.0050638025,0.0006376113,0.002982449,0.0008222532,0.00085166824,0.0015534001,0.0006743055,0.0030589565,0.0010431415],"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":[0.9571559,0.013662733,0.0005653154,0.0049089747,0.002096477,0.00006454107,0.000100125166,0.000112594586,0.0005414538,0.00007971757,0.00081617985,0.019896045],"study_design_scores_gemma":[0.97459066,0.022716641,0.0011154687,0.00025310434,0.0007538906,0.0000119631295,0.000030094583,0.00012325501,0.00006477002,0.000067644534,0.0002654487,0.000007060596],"about_ca_topic_score_codex":0.0018328949,"about_ca_topic_score_gemma":0.0032553184,"teacher_disagreement_score":0.01459478,"about_ca_system_score_codex":0.0007869314,"about_ca_system_score_gemma":0.0016147892,"threshold_uncertainty_score":0.04882443},"labels":[],"label_agreement":null},{"id":"W2926642108","doi":"10.2196/11343","title":"Text Messaging and Type 1 Diabetes Management: Qualitative Study Exploring Interactions Among Patients and Health Care Professionals","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Provincia Autonoma di Trento","keywords":"Diabetes management; Qualitative research; Health care; Content analysis; Psychology; Text messaging; Medicine; Type 2 diabetes; Medical education; Nursing; Family medicine; Diabetes mellitus; Internet privacy; Computer science","score_opus":0.06863962162788441,"score_gpt":0.468624871879478,"score_spread":0.3999852502515936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2926642108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919228,0.0009944591,0.001325723,0.0021700102,0.00006308039,0.00028205497,0.0002311113,0.000012403497,0.0029983278],"genre_scores_gemma":[0.9945857,0.0008779338,0.0011420769,0.0012496825,0.000034834346,0.00042386848,0.000106932544,0.000016502227,0.001562568],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9926602,0.00524399,0.00027668328,0.00044780088,0.0004300656,0.00094136514],"domain_scores_gemma":[0.9772495,0.01854547,0.0013482587,0.00026612086,0.0010847179,0.0015060463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008165752,0.0005576448,0.0009511445,0.0014037945,0.006143042,0.0032280535,0.0014713907,0.0018754641,0.0038804451],"category_scores_gemma":[0.01560289,0.0005528553,0.0004686516,0.0015712379,0.003971874,0.003189439,0.004231248,0.002302014,0.00032753372],"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":[0.00005266523,0.00011151665,0.0033717419,0.00025697783,0.0000053920453,0.0006499293,0.9901052,0.000020359244,0.00054519693,0.0002960495,0.00036894446,0.0042159804],"study_design_scores_gemma":[0.000011307174,0.00008758343,0.0025001601,0.00019766053,0.0000060748703,0.00018213838,0.9932033,0.00007200721,0.00021859254,0.0001450841,0.0033633802,0.000012662154],"about_ca_topic_score_codex":0.00632605,"about_ca_topic_score_gemma":0.007703888,"teacher_disagreement_score":0.008165752,"about_ca_system_score_codex":0.0038234792,"about_ca_system_score_gemma":0.004153598,"threshold_uncertainty_score":0.043185115},"labels":[],"label_agreement":null},{"id":"W2927760739","doi":"10.2196/10271","title":"Appropriation of Mobile Health for Diabetes Self-Management: Lessons From Two Qualitative Studies","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Ludwig-Maximilians-Universität München; Bundesministerium für Bildung und Forschung; Nanyang Technological University; Universität Erfurt; Diabetes-Stiftung","keywords":"mHealth; CLARITY; Appropriation; Context (archaeology); Perspective (graphical); Value (mathematics); Qualitative research; Digital health; Knowledge management; Computer science; Medicine; Internet privacy; Psychology; Health care; Sociology; Nursing; Geography; Political science","score_opus":0.07009905217247109,"score_gpt":0.5185015451565923,"score_spread":0.4484024929841212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2927760739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778756,0.002521363,0.0061076954,0.0051393732,0.00009179966,0.00074976205,0.00043630667,0.000025473326,0.007052766],"genre_scores_gemma":[0.9897217,0.002328067,0.0030199357,0.0014571965,0.00003001043,0.001043128,0.0001210827,0.000034061413,0.0022448401],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9760795,0.019398935,0.0010063708,0.0007557025,0.0010997714,0.0016596196],"domain_scores_gemma":[0.9111909,0.07906486,0.0029320281,0.0016261843,0.0035888192,0.0015971222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04069865,0.00071790355,0.000820604,0.0029282963,0.0082082255,0.0045078555,0.001785818,0.0019803972,0.0028194124],"category_scores_gemma":[0.041889604,0.0007826829,0.0006287466,0.0033648787,0.0074969055,0.005936582,0.008258622,0.0024311326,0.00030983976],"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":[0.00002942505,0.000043161785,0.0027209858,0.00028868817,0.0000058443993,0.00042802276,0.98919195,0.000022340675,0.0002946553,0.0009926907,0.00025301217,0.0057292306],"study_design_scores_gemma":[0.0000073567435,0.000036314774,0.0016443107,0.000462314,0.000008412826,0.00015296559,0.9927308,0.000056264467,0.00028212406,0.00033810426,0.0042696428,0.000011478809],"about_ca_topic_score_codex":0.01439166,"about_ca_topic_score_gemma":0.02539845,"teacher_disagreement_score":0.04069865,"about_ca_system_score_codex":0.008493403,"about_ca_system_score_gemma":0.0057543153,"threshold_uncertainty_score":0.21523762},"labels":[],"label_agreement":null},{"id":"W2933484898","doi":"10.2196/11017","title":"Enhanced Self-Efficacy and Behavioral Changes Among Patients With Diabetes: Cloud-Based Mobile Health Platform and Mobile App Service","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":84,"is_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 Science and Technology, Taiwan","keywords":"Mobile apps; Cloud computing; Self-efficacy; The Internet; Psychological intervention; mHealth; Internet privacy; Self-management; Promotion (chess); Psychology; Health promotion; Computer science; Medicine; World Wide Web; Public health; Nursing; Social psychology","score_opus":0.01750614015009364,"score_gpt":0.34519717139504813,"score_spread":0.32769103124495447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2933484898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99893016,0.00013211854,0.00006514813,0.00010620399,0.000009589731,0.00004612026,0.00005743012,0.0000043470022,0.0006489084],"genre_scores_gemma":[0.9994265,0.00009464227,0.00018867603,0.00006522259,0.000008625125,0.000043519773,0.00004128972,8.9636103e-7,0.00013067224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995338,0.00015259537,0.00004371414,0.00005691332,0.00009354373,0.00011946046],"domain_scores_gemma":[0.99867094,0.00065869256,0.00022430568,0.00003533422,0.0001295577,0.0002812206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011611887,0.00012788313,0.00032863658,0.00041832743,0.00036257054,0.00069831853,0.00013637167,0.00033888363,0.0027442898],"category_scores_gemma":[0.003563122,0.000075453354,0.00053740415,0.0004178187,0.00015123303,0.00042465664,0.00044946666,0.0005252187,0.00017562076],"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":[0.008975221,0.015919462,0.77594817,0.00041250413,0.00031103852,0.0003550405,0.00119441,0.00070795004,0.0026667062,0.0002520152,0.0013482252,0.19190925],"study_design_scores_gemma":[0.0009525677,0.014903373,0.97673404,0.00010414326,0.00041773074,0.00027053597,0.0012117159,0.0028863938,0.0010041378,0.00015880255,0.0013289591,0.000027544735],"about_ca_topic_score_codex":0.0018798412,"about_ca_topic_score_gemma":0.0025119355,"teacher_disagreement_score":0.0027442898,"about_ca_system_score_codex":0.00037923577,"about_ca_system_score_gemma":0.00078730576,"threshold_uncertainty_score":0.009180546},"labels":[],"label_agreement":null},{"id":"W2933849486","doi":"10.2196/11590","title":"Experiences of Patients With a Diabetes Self-Care App Developed Based on the Information-Motivation-Behavioral Skills Model: Before-and-After Study","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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 Research Foundation of Korea; National Research Foundation","keywords":"Mobile apps; Mobile phone; Diabetes mellitus; Psychology; Self care; Process (computing); Physical activity; Phone; Applied psychology; Medicine; Gerontology; Internet privacy; Computer science; Physical therapy; Health care; World Wide Web; Endocrinology","score_opus":0.01128719345053474,"score_gpt":0.32304832684837226,"score_spread":0.3117611333978375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2933849486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981353,0.00016978089,0.000120958786,0.00014403732,0.000026371685,0.0005963264,0.00013907516,0.00000999716,0.00065806217],"genre_scores_gemma":[0.9958852,0.00031878197,0.0007024978,0.00036299403,0.000040871622,0.0013237236,0.00018734757,0.000008447674,0.0011702068],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99754673,0.0008603116,0.0002630768,0.00031746802,0.00043348022,0.0005789539],"domain_scores_gemma":[0.99429756,0.002062008,0.0008124081,0.00034599926,0.0010457833,0.0014362136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040362007,0.0007127784,0.0015540859,0.0010809684,0.0028260641,0.0017377075,0.0006884292,0.0014814205,0.0028112172],"category_scores_gemma":[0.0112087205,0.0007351306,0.0018895601,0.00066771876,0.0011372768,0.0016148745,0.0022305122,0.003218206,0.0005952456],"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":[0.00572805,0.11924677,0.48425752,0.0021666111,0.0006305454,0.0027011682,0.22178467,0.0003204257,0.0031376767,0.00032369272,0.0043393574,0.15536354],"study_design_scores_gemma":[0.0022656738,0.07309445,0.73359275,0.00070897106,0.0010399407,0.0013684607,0.16861299,0.00095129386,0.003547087,0.00031966847,0.014040178,0.00045855113],"about_ca_topic_score_codex":0.0033560873,"about_ca_topic_score_gemma":0.0064647333,"teacher_disagreement_score":0.0040362007,"about_ca_system_score_codex":0.0017564311,"about_ca_system_score_gemma":0.0019893849,"threshold_uncertainty_score":0.021345735},"labels":[],"label_agreement":null},{"id":"W2946524162","doi":"10.2196/12936","title":"An Evaluation of Digital Health Tools for Diabetes Self-Management in Hispanic Adults: Exploratory Study","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Patient-Centered Outcomes Research Institute","keywords":"Type 2 Diabetes Mellitus; Exploratory research; Diabetes mellitus; Medicine; Self-management; Gerontology; Digital health; Self care; Health care; Psychology; Clinical psychology; Computer science; Endocrinology","score_opus":0.056774706051908284,"score_gpt":0.4294801372813166,"score_spread":0.37270543122940836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946524162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963569,0.00009084502,0.00018499786,0.00007733002,0.000007672944,0.0023626399,0.00012094114,0.000005573775,0.00079298153],"genre_scores_gemma":[0.9888904,0.0005988626,0.003847626,0.00035867988,0.00003113299,0.005190626,0.0003047298,0.000009584172,0.0007683896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962863,0.0022443102,0.0003444038,0.00018377464,0.0005916046,0.00034964312],"domain_scores_gemma":[0.9902996,0.003999857,0.0011365225,0.00057406165,0.0030369125,0.0009531303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01655167,0.00061611895,0.00063910283,0.00084300217,0.0015211174,0.0014552126,0.00055593305,0.00061565405,0.001968268],"category_scores_gemma":[0.016603794,0.00042610572,0.0010265734,0.0006752663,0.00056344835,0.0010853714,0.0013853038,0.000949275,0.00040137942],"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":[0.008973147,0.12143288,0.5547238,0.0029057849,0.0006408164,0.0010337479,0.083991446,0.00045474415,0.0047524204,0.00070043944,0.0020123513,0.2183785],"study_design_scores_gemma":[0.0056568007,0.15060914,0.6496369,0.0013081034,0.0009490336,0.00072522863,0.16238175,0.002729333,0.005366094,0.0005067313,0.019971764,0.00015904046],"about_ca_topic_score_codex":0.0034318438,"about_ca_topic_score_gemma":0.0050412216,"teacher_disagreement_score":0.01655167,"about_ca_system_score_codex":0.0011702853,"about_ca_system_score_gemma":0.003735388,"threshold_uncertainty_score":0.087534666},"labels":[],"label_agreement":null},{"id":"W2946861694","doi":"10.2196/12600","title":"Acceptability of Mobile Health Interventions to Increase Diabetic Risk Factor Awareness Among the Commuter Population in Johannesburg: Descriptive Cross-Sectional Study","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Medicine; mHealth; Likert scale; Population; Psychological intervention; Environmental health; Mobile phone; Descriptive statistics; Diabetes mellitus; Gerontology; Cross-sectional study; Nursing; Psychology; Computer science","score_opus":0.050509202007199897,"score_gpt":0.448306435730897,"score_spread":0.39779723372369713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946861694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99919707,0.00008137758,0.000035649453,0.00005120832,0.0000031327313,0.00014398688,0.00008062779,0.0000014570916,0.00040557457],"genre_scores_gemma":[0.99843115,0.00024518138,0.00023279837,0.000108135,0.000005814614,0.0003701537,0.00009079484,0.0000014217073,0.00051450037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995505,0.0001472008,0.00005330462,0.00006933158,0.00008499609,0.000094645184],"domain_scores_gemma":[0.99902534,0.00028473043,0.00035344958,0.00003961036,0.00013303901,0.00016378472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012717685,0.0002454158,0.00038422836,0.0006991929,0.0007185401,0.00089493964,0.00031091063,0.00048790034,0.0022386985],"category_scores_gemma":[0.003370663,0.00034638715,0.0005285514,0.0004241598,0.0003044629,0.00082082953,0.0008015617,0.00068609684,0.0003094964],"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":[0.00025882304,0.0023805804,0.94891447,0.00048339943,0.00012827122,0.0005451763,0.024928449,0.00006335236,0.0016522447,0.00013401426,0.00044268195,0.020068612],"study_design_scores_gemma":[0.000050684605,0.002133696,0.96677166,0.00016165906,0.00008758993,0.00021951563,0.028243788,0.00017220878,0.00027847997,0.00004620448,0.0018173624,0.00001718994],"about_ca_topic_score_codex":0.0046227444,"about_ca_topic_score_gemma":0.0065836445,"teacher_disagreement_score":0.0046227444,"about_ca_system_score_codex":0.0006390595,"about_ca_system_score_gemma":0.0007346254,"threshold_uncertainty_score":0.009191692},"labels":[],"label_agreement":null},{"id":"W2960026361","doi":"10.2196/14032","title":"Experiences of Adults With Type 1 Diabetes Using Glucose Sensor–Based Mobile Technology for Glycemic Variability: Qualitative Study","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":"Thematic analysis; Glycemic; Glycated hemoglobin; Diabetes management; Qualitative research; Psychosocial; Type 1 diabetes; Diabetes mellitus; Worry; Medicine; Blood Glucose Self-Monitoring; Type 2 diabetes; Psychology; Gerontology; Continuous glucose monitoring; Anxiety; Endocrinology","score_opus":0.019386002175592623,"score_gpt":0.3515435062740217,"score_spread":0.3321575040984291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960026361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993005,0.0009107967,0.0009987864,0.0017587714,0.00005994016,0.00020293667,0.00021345954,0.000011673365,0.0028385888],"genre_scores_gemma":[0.99518627,0.0012039072,0.00072156184,0.0011145868,0.000022793909,0.00030897374,0.000082834,0.000014833454,0.0013444016],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9962379,0.0025230523,0.00013774839,0.00025626682,0.000248685,0.0005962993],"domain_scores_gemma":[0.9928899,0.004767732,0.0006049843,0.00015012173,0.0006395973,0.0009476447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058509093,0.00055185554,0.0007917273,0.0008456007,0.0055577094,0.0026678285,0.0012331718,0.0011554313,0.0034129345],"category_scores_gemma":[0.009761947,0.0006320637,0.00052931067,0.0010567216,0.0035927044,0.0033524637,0.0050035166,0.0022553252,0.0003227976],"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":[0.00003448681,0.000050289484,0.0042286413,0.00022026189,0.0000056791364,0.00057062757,0.9903756,0.000014679329,0.00038634244,0.0003107752,0.0004347403,0.0033679088],"study_design_scores_gemma":[0.0000034478528,0.000051307372,0.0014863173,0.00014432248,0.000003818573,0.0001811237,0.995093,0.00003339889,0.000081055616,0.000070896334,0.0028436272,0.000007647236],"about_ca_topic_score_codex":0.008305302,"about_ca_topic_score_gemma":0.013598822,"teacher_disagreement_score":0.008305302,"about_ca_system_score_codex":0.002630619,"about_ca_system_score_gemma":0.0031028723,"threshold_uncertainty_score":0.030942917},"labels":[],"label_agreement":null},{"id":"W2961694633","doi":"10.2196/14002","title":"Design and Prestudy Assessment of a Dashboard for Presenting Self-Collected Health Data of Patients With Diabetes to Clinicians: Iterative Approach and Qualitative Case Study","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Electronic Health Records Systems","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":"Norges Forskningsråd","keywords":"Usability; Dashboard; Medicine; Qualitative research; Interoperability; Participatory design; Medical education; Computer science; Data science; Human–computer interaction; World Wide Web","score_opus":0.13279180681890876,"score_gpt":0.5134540869300239,"score_spread":0.38066228011111514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2961694633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7853311,0.00081989355,0.17274559,0.0058555743,0.00030902456,0.02191571,0.0005324907,0.0004922935,0.011998255],"genre_scores_gemma":[0.6950518,0.0008065613,0.2817206,0.0013704626,0.000047994,0.015024391,0.00028587866,0.00021668838,0.005475664],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.92483443,0.06266074,0.0026595274,0.003235529,0.0036169093,0.0029928833],"domain_scores_gemma":[0.9043603,0.0699575,0.003341936,0.0042685554,0.0123728495,0.005698905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07804145,0.0017130035,0.0011045719,0.0026601132,0.0085524,0.0061312597,0.0046961918,0.0031935773,0.0029969676],"category_scores_gemma":[0.07551083,0.0012717467,0.0012540133,0.0016836197,0.008663171,0.005323866,0.010008282,0.0032109271,0.0006760918],"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":[0.00024730284,0.0011398725,0.0065889647,0.0019126845,0.00004491704,0.0034228426,0.91749096,0.0010063206,0.0061659487,0.0047528897,0.0025237785,0.054703508],"study_design_scores_gemma":[0.00020643786,0.0016667766,0.0035882043,0.001743681,0.00008821608,0.00156459,0.9124869,0.0033701262,0.010626881,0.0050745686,0.05939642,0.00018719833],"about_ca_topic_score_codex":0.0023998453,"about_ca_topic_score_gemma":0.0040165507,"teacher_disagreement_score":0.07804145,"about_ca_system_score_codex":0.008155913,"about_ca_system_score_gemma":0.011320813,"threshold_uncertainty_score":0.4127276},"labels":[],"label_agreement":null},{"id":"W2963432147","doi":"10.2196/12905","title":"A Reinforcement Learning–Based Method for Management of Type 1 Diabetes: Exploratory Study","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"","keywords":"Glycated hemoglobin; Medicine; Reinforcement learning; Insulin; Type 1 diabetes; Body mass index; Diabetes mellitus; Type 2 diabetes; Internal medicine; Computer science; Endocrinology; Artificial intelligence","score_opus":0.03228912328593133,"score_gpt":0.34949986971041025,"score_spread":0.31721074642447894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963432147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69374865,0.001962926,0.2955688,0.0005441868,0.00009762517,0.0008529245,0.0002407159,0.00046266554,0.006521588],"genre_scores_gemma":[0.9137741,0.00030764638,0.08428005,0.00005857429,0.000027453558,0.00032295933,0.00014332231,0.000019829446,0.0010660602],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991812,0.00056480494,0.000028130242,0.000092316295,0.00007877412,0.000054765223],"domain_scores_gemma":[0.9959416,0.003379948,0.00013054012,0.0001338931,0.00031742,0.00009644198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025295697,0.00056315796,0.00054495997,0.0005458216,0.00025917531,0.00046403758,0.0007971096,0.0006442834,0.0018460837],"category_scores_gemma":[0.0061780172,0.00016340673,0.00049924775,0.00041881364,0.00028512595,0.0004855757,0.000523066,0.000556694,0.00016327995],"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":[0.0012631943,0.002342613,0.023322333,0.00049499515,0.00020397219,0.0003352337,0.00031923706,0.67564166,0.0026098469,0.0046379557,0.0021026812,0.28672633],"study_design_scores_gemma":[0.000048668604,0.0002578958,0.0013450455,0.000009675284,0.000015508198,0.000024786734,0.000041235,0.9970925,0.0003318586,0.0005571713,0.00026983616,0.0000058035407],"about_ca_topic_score_codex":0.0054197214,"about_ca_topic_score_gemma":0.002605007,"teacher_disagreement_score":0.0054197214,"about_ca_system_score_codex":0.00068659434,"about_ca_system_score_gemma":0.0006291194,"threshold_uncertainty_score":0.013377845},"labels":[],"label_agreement":null},{"id":"W2963979185","doi":"10.2196/10702","title":"Digital Person-Centered Self-Management Support for People With Type 2 Diabetes: Qualitative Study Exploring Design Challenges","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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":"","keywords":"eHealth; Computer science; Context (archaeology); Focus group; Digital health; Self-management; Qualitative research; Data management; Service (business); Knowledge management; Health care; Sociology","score_opus":0.09870626810031205,"score_gpt":0.3171859882654105,"score_spread":0.21847972016509845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963979185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97880965,0.0012911897,0.007967966,0.004738484,0.00013083911,0.0007946312,0.000191498,0.000034599747,0.0060412814],"genre_scores_gemma":[0.9877935,0.0010875991,0.00490328,0.0019640392,0.000025842695,0.00092908693,0.0000753812,0.000038916467,0.0031823777],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.98488545,0.012090797,0.00036422742,0.00067779544,0.00074720936,0.0012346162],"domain_scores_gemma":[0.9754986,0.018785834,0.0012801907,0.0007224832,0.0016135154,0.0020993564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021768931,0.0005314813,0.0008412304,0.0013835931,0.009142248,0.004388724,0.0020041799,0.0019720327,0.003642853],"category_scores_gemma":[0.021470945,0.00065008993,0.0005800245,0.0014694716,0.0074183554,0.004562312,0.0059354147,0.0027987969,0.0004019965],"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":[0.000031779175,0.00010202285,0.0018002146,0.0002195498,0.000004354264,0.00057013775,0.99010974,0.000024737517,0.0004385403,0.0008731905,0.00048473652,0.005340907],"study_design_scores_gemma":[0.000011252025,0.000078169964,0.0007806276,0.00020278472,0.0000051000106,0.00020778892,0.9899788,0.00008181259,0.00018195577,0.00035883917,0.008101721,0.000011153191],"about_ca_topic_score_codex":0.0049111047,"about_ca_topic_score_gemma":0.00827998,"teacher_disagreement_score":0.021768931,"about_ca_system_score_codex":0.00508171,"about_ca_system_score_gemma":0.0064828396,"threshold_uncertainty_score":0.11512649},"labels":[],"label_agreement":null},{"id":"W2966243781","doi":"10.2196/13904","title":"A Digital Diabetes Prevention Program (Transform) for Adults With Prediabetes: Secondary Analysis","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Prediabetes; Diabetes mellitus; Medicine; Secondary prevention; Gerontology; Internal medicine; Type 2 diabetes; Endocrinology","score_opus":0.012621025451432994,"score_gpt":0.36375431924995666,"score_spread":0.35113329379852365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966243781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95745826,0.0006983531,0.0020011598,0.00042717613,0.000085541295,0.013361992,0.022438992,0.000084913816,0.0034436686],"genre_scores_gemma":[0.9550508,0.0005996102,0.003037325,0.000588156,0.00015000386,0.02445003,0.014359662,0.000023910856,0.0017404014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997463,0.0010189218,0.00040231843,0.000257323,0.00055469456,0.0003037708],"domain_scores_gemma":[0.99556595,0.0011741023,0.0012732004,0.00047481674,0.00090852624,0.0006034063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039884937,0.00050568546,0.00075906306,0.0016776595,0.0007781969,0.0007328162,0.0006673666,0.0005387926,0.005965484],"category_scores_gemma":[0.0082319,0.00032913324,0.0032027925,0.002248246,0.000267084,0.0006114597,0.0013541062,0.0011407194,0.0006065825],"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":[0.06314854,0.01852012,0.76500565,0.0051305383,0.004772422,0.00026527958,0.0011414556,0.0011287793,0.00071054033,0.0006423548,0.013535685,0.12599865],"study_design_scores_gemma":[0.020856455,0.025835557,0.9365135,0.0007824746,0.0041773748,0.00017514119,0.0010758128,0.0019592205,0.0007561111,0.00034703067,0.0074700923,0.00005117399],"about_ca_topic_score_codex":0.009744531,"about_ca_topic_score_gemma":0.00934385,"teacher_disagreement_score":0.009744531,"about_ca_system_score_codex":0.0009920105,"about_ca_system_score_gemma":0.0034480516,"threshold_uncertainty_score":0.021093428},"labels":[],"label_agreement":null},{"id":"W2966698152","doi":"10.2196/13724","title":"Designing Online and Mobile Diabetes Education for Fathers of Children With Type 1 Diabetes: Mixed Methods Study","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":"Fondation Jonas; University of Florida","keywords":"Thematic analysis; Usability; Exploratory research; Diabetes management; eHealth; Medical education; Content analysis; Psychology; Mobile phone; Type 1 diabetes; Qualitative research; Multimedia; Medicine; Applied psychology; Type 2 diabetes; Health care; Computer science; Diabetes mellitus; Human–computer interaction","score_opus":0.019186547977454112,"score_gpt":0.3678985961829851,"score_spread":0.348712048205531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966698152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864212,0.00085738534,0.005416631,0.00029545638,0.000045418634,0.004107286,0.00028405795,0.000023993587,0.0025485603],"genre_scores_gemma":[0.9292605,0.0031221816,0.052390847,0.0009898308,0.000058149737,0.010090928,0.00039033464,0.0000544624,0.003642751],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99300295,0.005074546,0.0003370989,0.0005305222,0.0006320948,0.0004226706],"domain_scores_gemma":[0.985935,0.009748461,0.0011235385,0.00054711115,0.0017843193,0.0008617303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018610902,0.00064345624,0.0006267841,0.0009733573,0.0027760272,0.001884252,0.0012054599,0.00070604385,0.0044460236],"category_scores_gemma":[0.017639752,0.0006455948,0.00067244796,0.00081666996,0.0007638599,0.0013098321,0.0018085298,0.0009320781,0.00043510745],"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":[0.001410735,0.014266427,0.15623423,0.005957402,0.00022081206,0.002999625,0.5269047,0.00040635114,0.006070109,0.00210472,0.0033342883,0.2800906],"study_design_scores_gemma":[0.0009253225,0.018871156,0.10876582,0.0038304022,0.00050140213,0.0020130437,0.8017808,0.0013944684,0.0062441644,0.0011246883,0.054404765,0.00014400801],"about_ca_topic_score_codex":0.0021115728,"about_ca_topic_score_gemma":0.0077456427,"teacher_disagreement_score":0.018610902,"about_ca_system_score_codex":0.0015663242,"about_ca_system_score_gemma":0.0045943083,"threshold_uncertainty_score":0.09842509},"labels":[],"label_agreement":null},{"id":"W2968536602","doi":"10.2196/10324","title":"Small Data and Its Visualization for Diabetes Self-Management: Qualitative Study","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"ACT Government","keywords":"Self-management; Digital health; The Internet; Diabetes management; Health care; Qualitative research; Computer science; Mobile device; Internet privacy; Multidisciplinary approach; Medicine; World Wide Web; Type 2 diabetes; Diabetes mellitus","score_opus":0.11160314679267498,"score_gpt":0.48554065095854787,"score_spread":0.3739375041658729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968536602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776139,0.0017584783,0.0040598633,0.0067733284,0.00013739287,0.0012990262,0.00037618636,0.000034266846,0.00794758],"genre_scores_gemma":[0.98984236,0.0014308525,0.0030693621,0.0017364055,0.000028319426,0.0013994701,0.000093638286,0.00003519952,0.0023644546],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9752505,0.020915,0.00058997644,0.00075333874,0.0010583627,0.0014328533],"domain_scores_gemma":[0.94032425,0.04953098,0.0023677594,0.00087998144,0.0035322097,0.0033648233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.034528166,0.0005048268,0.0009992298,0.0019460429,0.009855489,0.003806629,0.002023186,0.0016620314,0.0036121586],"category_scores_gemma":[0.043063205,0.0006778674,0.0005236748,0.0020992386,0.0081754895,0.004389554,0.0066845287,0.0031047373,0.00028617063],"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":[0.000026617889,0.000079278914,0.0019550545,0.0003185503,0.000004435841,0.00036416,0.9914452,0.000018076607,0.00033648824,0.00086541945,0.00042791615,0.00415883],"study_design_scores_gemma":[0.0000075819,0.000058206697,0.00091443484,0.0003321004,0.0000044839007,0.00011708695,0.9920236,0.000054518765,0.00016151591,0.00026276166,0.006054496,0.0000092152595],"about_ca_topic_score_codex":0.0070967614,"about_ca_topic_score_gemma":0.010928346,"teacher_disagreement_score":0.034528166,"about_ca_system_score_codex":0.0070318,"about_ca_system_score_gemma":0.008691613,"threshold_uncertainty_score":0.18260455},"labels":[],"label_agreement":null},{"id":"W2979709700","doi":"10.2196/14799","title":"The Effect of a Cellular-Enabled Glucose Meter on Glucose Control for Patients With Diabetes: Prospective Pre-Post Study","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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; Diabetes mellitus; Glucose meter; Diabetes management; Blood glucose monitoring; Depression (economics); Prospective cohort study; Type 2 diabetes; Family medicine; Physical therapy; Internal medicine; Endocrinology","score_opus":0.0026863581227223555,"score_gpt":0.22462020341344147,"score_spread":0.2219338452907191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979709700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998782,0.00016507551,0.000036568446,0.00005722878,0.000023578184,0.000107923326,0.00023941028,0.0000027629605,0.0005854967],"genre_scores_gemma":[0.9986712,0.00014125256,0.00010010339,0.00015554877,0.000043243093,0.00011201396,0.00033104778,0.0000023626446,0.0004432512],"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9984975,0.0005041697,0.00018707904,0.0002525819,0.0002903024,0.0002683128],"domain_scores_gemma":[0.9943633,0.0013354325,0.0017576107,0.00039236379,0.0006934108,0.0014579432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021477768,0.0004781614,0.0006540998,0.0007344171,0.0011002854,0.0013046482,0.000535698,0.0010344761,0.0031941768],"category_scores_gemma":[0.00551992,0.0005804285,0.0014056581,0.0010282516,0.000558,0.0012279383,0.0008420865,0.0021527677,0.00067852536],"study_design_candidate":"nonrandomized_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":[0.0069919922,0.0063359546,0.98056304,0.000050959836,0.00021791116,0.00005485927,0.0002457377,0.00003802811,0.00011491284,0.000020597708,0.0002473407,0.0051186816],"study_design_scores_gemma":[0.00043726034,0.011972989,0.9864948,0.000016267888,0.00015430832,0.00005412978,0.00038840607,0.00013117303,0.000063926556,0.000018387578,0.00025393825,0.000014475225],"about_ca_topic_score_codex":0.0043984987,"about_ca_topic_score_gemma":0.005476534,"teacher_disagreement_score":0.0043984987,"about_ca_system_score_codex":0.0007208329,"about_ca_system_score_gemma":0.0008408541,"threshold_uncertainty_score":0.011358678},"labels":[],"label_agreement":null},{"id":"W2980965102","doi":"10.2196/13661","title":"Understanding the Adoption and Diffusion of a Telemonitoring Solution in Gestational Diabetes Mellitus: Qualitative Study","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Gestational Diabetes Research and Management","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":"","keywords":"Telemedicine; Gestational diabetes; Thematic analysis; Qualitative research; Health care; Medicine; Context (archaeology); Diffusion of innovations; Nursing; Diabetes mellitus; Health technology; Knowledge management; Family medicine; Pregnancy; Business; Computer science; Marketing","score_opus":0.06297772953085028,"score_gpt":0.35270457888617,"score_spread":0.2897268493553197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980965102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99377996,0.00080425915,0.0010595875,0.0017592756,0.000025720243,0.00013195837,0.00009594062,0.0000055944292,0.0023376732],"genre_scores_gemma":[0.9966809,0.0010542142,0.000852021,0.00043358686,0.000008489513,0.00013174654,0.000050158902,0.000007687951,0.00078122935],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9944782,0.0039818995,0.00020978502,0.00031350664,0.0003623872,0.00065413717],"domain_scores_gemma":[0.9839199,0.013071038,0.0009883601,0.00021133843,0.0008101233,0.0009992108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0110244835,0.0003486091,0.0005959013,0.0013589886,0.004243708,0.0030354704,0.0011453731,0.0012572638,0.0022647434],"category_scores_gemma":[0.014842235,0.00041061422,0.00042305765,0.00146593,0.0042746593,0.0030648035,0.0036140897,0.0016776618,0.00013897245],"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":[0.00002510142,0.00003121197,0.0045211543,0.00019334054,0.0000038372073,0.00058863027,0.9891195,0.00002360247,0.00050831056,0.0007806861,0.00017448966,0.0040301206],"study_design_scores_gemma":[0.0000028381653,0.000029505254,0.0023086038,0.00022547887,0.0000042657375,0.00019138023,0.9936795,0.00007153642,0.00014994112,0.00016784218,0.0031619037,0.000007150514],"about_ca_topic_score_codex":0.013657985,"about_ca_topic_score_gemma":0.013014946,"teacher_disagreement_score":0.013657985,"about_ca_system_score_codex":0.0057210606,"about_ca_system_score_gemma":0.005720835,"threshold_uncertainty_score":0.058303773},"labels":[],"label_agreement":null},{"id":"W2981738501","doi":"10.2196/15744","title":"Feasibility, Acceptability, and Impact of a Web-Based Structured Education Program for Type 2 Diabetes: Real-World Study","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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":"National Institute for Health and Care Research","keywords":"Distress; Medicine; Type 2 diabetes; Diabetes mellitus; Family medicine; Program evaluation; Gerontology; Patient education; Web application; Nursing; Clinical psychology; World Wide Web; Computer science","score_opus":0.028099924679091552,"score_gpt":0.3908456758978434,"score_spread":0.36274575121875186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981738501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966677,0.00005364556,0.00027707923,0.00014412514,0.000010048259,0.0017698782,0.00018625653,0.000010666155,0.000880493],"genre_scores_gemma":[0.99522203,0.00014994018,0.0013368019,0.00024111936,0.000023605271,0.0024407913,0.00025309637,0.000011762751,0.000320921],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9863107,0.009020507,0.0008432492,0.00072971743,0.0020073117,0.0010884752],"domain_scores_gemma":[0.97583085,0.013110797,0.0027435687,0.0013337547,0.004195791,0.0027851623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018776447,0.000601669,0.0008210756,0.0008299711,0.0011126853,0.0016199063,0.00093856297,0.0013980976,0.0024900294],"category_scores_gemma":[0.040342133,0.000647278,0.0015415113,0.00069475255,0.001042812,0.0017353708,0.0015780771,0.0017006949,0.00055468286],"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":[0.010140373,0.119474135,0.70303357,0.001931842,0.00056780013,0.0014221243,0.039166696,0.0009851604,0.002399733,0.00022961665,0.0020868678,0.11856202],"study_design_scores_gemma":[0.003340266,0.10167282,0.86376417,0.00044913418,0.00036909766,0.00055901543,0.022051113,0.0027097678,0.0012070399,0.00015457759,0.0035674009,0.00015553254],"about_ca_topic_score_codex":0.0069433018,"about_ca_topic_score_gemma":0.007207716,"teacher_disagreement_score":0.018776447,"about_ca_system_score_codex":0.0017399058,"about_ca_system_score_gemma":0.0022853012,"threshold_uncertainty_score":0.099300504},"labels":[],"label_agreement":null},{"id":"W2995609190","doi":"10.2196/15189","title":"Effectiveness of a Digital Lifestyle Change Program in Obese and Type 2 Diabetes Populations: Service Evaluation of Real-World Data","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"Weight management; Weight loss; Medicine; Gerontology; Weight change; Obesity; Service (business); Family medicine","score_opus":0.16753292192841135,"score_gpt":0.49246013499001023,"score_spread":0.3249272130615989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995609190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99395305,0.00024778006,0.00028283885,0.00019606102,0.000033648135,0.0033510053,0.00084613304,0.000038153867,0.0010513994],"genre_scores_gemma":[0.9889116,0.00037365855,0.002189498,0.00016929297,0.000059190028,0.0066140383,0.0012875383,0.000013593493,0.0003814472],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.98549646,0.010409342,0.0010958388,0.00075925875,0.0014709943,0.00076813024],"domain_scores_gemma":[0.9808481,0.008873184,0.0035006613,0.0012044293,0.0027606995,0.002812946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017492708,0.0009917925,0.0013507085,0.0015507916,0.0010065497,0.0012471617,0.0011704214,0.0010868701,0.0030123778],"category_scores_gemma":[0.029358895,0.00037631454,0.0020287952,0.0018810047,0.0008613987,0.0015680155,0.0020012285,0.0010717574,0.0003123477],"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":[0.21947479,0.1699451,0.23603702,0.0048094178,0.0037580295,0.0003765892,0.005693026,0.006056716,0.0013569441,0.00039150717,0.0040791878,0.3480217],"study_design_scores_gemma":[0.07852575,0.3884435,0.50070006,0.0008881918,0.0028952656,0.00025892069,0.005210256,0.015553642,0.0020108828,0.00045878373,0.0048619886,0.00019268748],"about_ca_topic_score_codex":0.014001019,"about_ca_topic_score_gemma":0.012962374,"teacher_disagreement_score":0.017492708,"about_ca_system_score_codex":0.003623763,"about_ca_system_score_gemma":0.00502405,"threshold_uncertainty_score":0.092511415},"labels":[],"label_agreement":null},{"id":"W3005326200","doi":"10.2196/14396","title":"Health App Use and Its Correlates Among Individuals With and Without Type 2 Diabetes: Nationwide Population-Based Survey","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"Medicine; Logistic regression; Type 2 diabetes; Population; Odds; Gerontology; Odds ratio; Diabetes mellitus; Population health; Health Survey for England; Demography; Environmental health","score_opus":0.05583759151958772,"score_gpt":0.3743730865543817,"score_spread":0.31853549503479395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005326200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939997,0.00037898193,0.00011297786,0.00007500412,0.000009733326,0.000039321218,0.0047467756,0.0000069109383,0.0006305905],"genre_scores_gemma":[0.9959841,0.00033660044,0.00017868805,0.00009442051,0.000011016081,0.000083975814,0.0030306552,0.00000311387,0.00027751623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926406,0.00013144547,0.0001387244,0.00019761815,0.00016976957,0.00009830449],"domain_scores_gemma":[0.99888057,0.00013484982,0.00057345093,0.0000810317,0.00017596607,0.00015406443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007337606,0.00022040578,0.00033112327,0.001081575,0.00036290978,0.00055928243,0.00033862368,0.00046899595,0.0013128563],"category_scores_gemma":[0.0020546291,0.00032555405,0.00055257394,0.0018910257,0.0002447489,0.00075324695,0.00066462305,0.000662299,0.00040204977],"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":[0.000026871014,0.000034030883,0.9985442,0.000029976582,0.000048758335,0.000022108403,0.00007854632,0.00001668873,0.000056372508,0.000010375449,0.00024990886,0.0008822164],"study_design_scores_gemma":[0.0000020825887,0.00003010905,0.9994326,0.000011154159,0.000021677452,0.00006186294,0.00018753821,0.000044373068,0.000012401106,0.000006639271,0.00018685464,0.0000026985936],"about_ca_topic_score_codex":0.015463887,"about_ca_topic_score_gemma":0.016074674,"teacher_disagreement_score":0.015463887,"about_ca_system_score_codex":0.00039324985,"about_ca_system_score_gemma":0.0003768586,"threshold_uncertainty_score":0.030747771},"labels":[],"label_agreement":null},{"id":"W3006634384","doi":"10.2196/14431","title":"Using Social Media to Track Geographic Variability in Language About Diabetes: Analysis of Diabetes-Related Tweets Across the United States","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Social Media in Health Education","field":"Social Sciences","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 Heart, Lung, and Blood Institute","keywords":"Diabetes mellitus; Social media; Medicine; Census; Gerontology; Type 2 diabetes; Disease; Diabetes management; Public health; Demography; Family medicine; Environmental health; Geography; Population; Computer science; Sociology; Pathology; World Wide Web","score_opus":0.06799501911018775,"score_gpt":0.3994017503866358,"score_spread":0.33140673127644804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006634384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98773277,0.0003071918,0.00039456136,0.00044469122,0.00003347393,0.000055275676,0.009646903,0.000027730282,0.0013573619],"genre_scores_gemma":[0.9907458,0.00033355062,0.0008221242,0.00019565289,0.000062464926,0.0001372699,0.00705529,0.000015199199,0.00063263264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945396,0.00018060011,0.00007981619,0.00010008024,0.000108584914,0.00007700705],"domain_scores_gemma":[0.9960536,0.0016436348,0.0013669749,0.00015620925,0.00058598554,0.00019364837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007035412,0.0001924138,0.00022049596,0.00220417,0.00044718647,0.00081196724,0.00022723243,0.00025673019,0.00085251476],"category_scores_gemma":[0.0046833334,0.00015066737,0.00028738487,0.0029122932,0.00018853678,0.0008752955,0.0011162423,0.00034592138,0.0002948815],"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":[0.00022068422,0.000066924185,0.9596949,0.000304462,0.00012771394,0.00024486595,0.006559377,0.00027492843,0.0025111472,0.00021301142,0.004930164,0.024851765],"study_design_scores_gemma":[0.0000052938726,0.000042478947,0.9850616,0.00007541557,0.00004833948,0.00013480085,0.0071509737,0.0019451341,0.0005443235,0.00012969076,0.004847114,0.000014979129],"about_ca_topic_score_codex":0.011743289,"about_ca_topic_score_gemma":0.016527968,"teacher_disagreement_score":0.011743289,"about_ca_system_score_codex":0.0003783103,"about_ca_system_score_gemma":0.0003489572,"threshold_uncertainty_score":0.023349822},"labels":[],"label_agreement":null},{"id":"W3006706324","doi":"10.2196/15219","title":"Internet-Based Lifestyle Intervention to Prevent Type 2 Diabetes Through Healthy Habits: Design and 6-Month Usage Results of Randomized Controlled Trial","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"Novo Nordisk Fonden","keywords":"Randomized controlled trial; Type 2 diabetes; Intervention (counseling); Medicine; Psychological intervention; The Internet; Physical therapy; Coaching; Diabetes mellitus; Gerontology; Psychology; Nursing; World Wide Web; Computer science; Internal medicine","score_opus":0.04752713868131355,"score_gpt":0.3871822817179726,"score_spread":0.33965514303665906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006706324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5611242,0.006098975,0.0066066277,0.00073392905,0.0025175218,0.41339493,0.004329973,0.0005595079,0.0046343296],"genre_scores_gemma":[0.42912188,0.0022760374,0.013494743,0.00079509756,0.0010131956,0.5471518,0.0013446946,0.00009711846,0.0047054095],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9760786,0.016514752,0.002367441,0.0018525823,0.0018088969,0.0013777876],"domain_scores_gemma":[0.98872685,0.0047262446,0.0022651255,0.0012443498,0.0020001868,0.0010372103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020902188,0.0034619756,0.010011524,0.0017839498,0.0015759532,0.002260787,0.0015705542,0.004439066,0.011421688],"category_scores_gemma":[0.024397891,0.0015948124,0.006614572,0.0017049789,0.0022150562,0.0024044297,0.0015108702,0.0029296235,0.0017120872],"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":[0.9752126,0.012226552,0.0008257744,0.0011532931,0.0022400478,0.000025421987,0.00007965275,0.00021024968,0.0005359358,0.00009452641,0.00037038227,0.0070257224],"study_design_scores_gemma":[0.91458565,0.07871929,0.0030468989,0.00012326603,0.0018714337,0.000015023809,0.00003700606,0.00043563516,0.00034114555,0.00014626536,0.0006558752,0.000022528578],"about_ca_topic_score_codex":0.0019078492,"about_ca_topic_score_gemma":0.0023789168,"teacher_disagreement_score":0.020902188,"about_ca_system_score_codex":0.0017431165,"about_ca_system_score_gemma":0.0033605096,"threshold_uncertainty_score":0.110542655},"labels":[],"label_agreement":null},{"id":"W3009817294","doi":"10.2196/17309","title":"Assessment of Training Outcomes of Nurse Readers for Diabetic Retinopathy Telescreening: Validation Study","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Retinal Diseases and Treatments","field":"Medicine","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":"McMaster University; University of Toronto; St. Joseph’s Healthcare Hamilton; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Diabetic retinopathy; Medicine; Fundus (uterus); Retinopathy; Ophthalmology; Optometry; Diabetes mellitus","score_opus":0.05936798082523832,"score_gpt":0.3649822967198234,"score_spread":0.3056143158945851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009817294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990914,0.000021763122,0.00028251042,0.000008770526,0.000007178783,0.00017420156,0.0000506765,0.0000070606693,0.0003564849],"genre_scores_gemma":[0.99873847,0.00002266764,0.0004725394,0.000024230256,0.0000064324954,0.00023306132,0.00020870494,0.0000054052844,0.0002884862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99464214,0.0025955176,0.00043944374,0.0006830075,0.0012745253,0.0003654374],"domain_scores_gemma":[0.97091424,0.0099693565,0.005739472,0.0029302505,0.008982905,0.0014636909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01089822,0.000576623,0.00036251973,0.0007307944,0.0005516031,0.0005816036,0.00071180466,0.00074902194,0.0009365621],"category_scores_gemma":[0.03601011,0.00034109224,0.0006382643,0.0003919183,0.00055778277,0.0007818535,0.0008405465,0.0005097905,0.0005767159],"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":[0.0012900701,0.0017425001,0.9861243,0.000040642408,0.00006550635,0.000058657723,0.001499303,0.00017413504,0.00049679604,0.000019589015,0.00017657777,0.008312079],"study_design_scores_gemma":[0.00013296148,0.005552579,0.9912676,0.000024900302,0.00005046485,0.00010098568,0.0007129234,0.00093860494,0.00075635576,0.000023885854,0.0004219382,0.000016737467],"about_ca_topic_score_codex":0.002357521,"about_ca_topic_score_gemma":0.002671692,"teacher_disagreement_score":0.01089822,"about_ca_system_score_codex":0.0010549026,"about_ca_system_score_gemma":0.0011165704,"threshold_uncertainty_score":0.057635963},"labels":[],"label_agreement":null},{"id":"W3009932832","doi":"10.2196/18208","title":"Web-Based and mHealth Technologies to Support Self-Management in People Living With Type 2 Diabetes: Validation of the Diabetes Self-Management and Technology Questionnaire (DSMT-Q)","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Oxford Health NHS Foundation Trust; University of Oxford; Department of Health and Social Care; Diabetes UK; National Institute for Health and Care Research","keywords":"mHealth; Debriefing; Self-management; Construct validity; Applied psychology; Psychology; Reliability (semiconductor); Psychological intervention; Web application; Psychometrics; Clinical psychology; Medicine; Computer science; Social psychology; World Wide Web; Psychiatry","score_opus":0.012813753833099803,"score_gpt":0.31475276107114597,"score_spread":0.3019390072380462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009932832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865072,0.00093419,0.002842208,0.00081601954,0.0000938252,0.003980988,0.0014246015,0.000029705772,0.003371221],"genre_scores_gemma":[0.9705028,0.001637535,0.017328814,0.00069756806,0.00006401052,0.0068026194,0.0018562129,0.000013940169,0.0010965038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99444455,0.0022473983,0.0011152809,0.00020151956,0.0017772008,0.00021400338],"domain_scores_gemma":[0.98480046,0.0071727615,0.0030266063,0.00057463796,0.0035816743,0.0008439054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014550565,0.00029353146,0.0003819626,0.0012332809,0.00046031905,0.0008671783,0.00042531863,0.00061532756,0.0015055456],"category_scores_gemma":[0.026594492,0.0002027504,0.0010932038,0.0010059453,0.00041615934,0.00094299996,0.0010483658,0.00095281383,0.00034047023],"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":[0.00022356826,0.0020130482,0.8512727,0.00073392363,0.00019581929,0.00011004902,0.004728611,0.00034513942,0.0007030873,0.00018185159,0.0024236613,0.13706855],"study_design_scores_gemma":[0.00013961109,0.0018936223,0.98702824,0.0005140467,0.00009927631,0.0002712287,0.0024646681,0.0011824005,0.00046920168,0.000168135,0.005735938,0.00003360773],"about_ca_topic_score_codex":0.0015060789,"about_ca_topic_score_gemma":0.0027918015,"teacher_disagreement_score":0.014550565,"about_ca_system_score_codex":0.0005424589,"about_ca_system_score_gemma":0.0018373907,"threshold_uncertainty_score":0.07695168},"labels":[],"label_agreement":null},{"id":"W3010135739","doi":"10.2196/15030","title":"Novel Digital Architecture of a “Low Carb Program” for Initiating and Maintaining Long-Term Sustainable Health-Promoting Behavior Change in Patients with Type 2 Diabetes","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"Type 2 diabetes; Psychological intervention; Digital health; Medicine; Gerontology; Behavior change; Disease; Diabetes mellitus; Health care; Psychology; Nursing; Political science","score_opus":0.03465810856514344,"score_gpt":0.3747601948493038,"score_spread":0.34010208628416033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010135739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5530474,0.00084446056,0.29132947,0.015459728,0.00081642583,0.0063649076,0.0010410139,0.010700871,0.1203957],"genre_scores_gemma":[0.77215725,0.00068903307,0.2000082,0.003351068,0.00014923172,0.0043012486,0.0006948255,0.00020441762,0.01844475],"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9991216,0.00039628102,0.000037660357,0.00012692214,0.00016938992,0.00014824641],"domain_scores_gemma":[0.99928254,0.00023842354,0.000043499153,0.00007949805,0.00009068734,0.0002653926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010158921,0.00035555896,0.00020589371,0.00045862622,0.00066564145,0.0012072156,0.0011744725,0.0007209373,0.008979503],"category_scores_gemma":[0.0025458944,0.00014426811,0.0004898016,0.00024057909,0.00047983803,0.0008936887,0.0024754182,0.0010527029,0.0012778954],"study_design_candidate":"nonrandomized_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":[0.0012903102,0.008919368,0.01714508,0.00093445554,0.000097133445,0.00066014344,0.0029391223,0.0062079737,0.016978182,0.014337306,0.029822554,0.90066844],"study_design_scores_gemma":[0.0037297048,0.02636572,0.11088958,0.0020519118,0.0010421278,0.0033936265,0.007902259,0.22116713,0.053672798,0.046768676,0.52250457,0.0005119021],"about_ca_topic_score_codex":0.001624537,"about_ca_topic_score_gemma":0.0027346483,"teacher_disagreement_score":0.008979503,"about_ca_system_score_codex":0.0005752767,"about_ca_system_score_gemma":0.0016959639,"threshold_uncertainty_score":0.03003943},"labels":[],"label_agreement":null},{"id":"W3014756082","doi":"10.2196/17890","title":"Diabetes Management Experience and the State of Hypoglycemia: National Online Survey Study","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":"Qatar National Research Fund; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Hypoglycemia; Medicine; Diabetes mellitus; Diabetes management; Likert scale; Blood sugar; Type 2 Diabetes Mellitus; Type 2 diabetes; Psychology; Developmental psychology; Endocrinology","score_opus":0.05245158194836884,"score_gpt":0.3384363839091464,"score_spread":0.2859848019607775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014756082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99709654,0.0001519512,0.00006486615,0.00019765209,0.000009309497,0.0000494588,0.0012144652,0.0000037705709,0.0012120979],"genre_scores_gemma":[0.9982955,0.00020215489,0.00015219326,0.00020352195,0.000009205199,0.00006479165,0.0008530496,0.0000027849314,0.00021679245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847656,0.0005230834,0.000317491,0.00015886765,0.00032602996,0.00019806821],"domain_scores_gemma":[0.9942907,0.0011376513,0.002671112,0.00021118601,0.00074410846,0.0009451143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025454161,0.00015121112,0.00036548826,0.0009069173,0.00053133466,0.0010531859,0.0003739653,0.00055235333,0.0014312841],"category_scores_gemma":[0.00650467,0.00029449517,0.00069537724,0.0014480664,0.00022745677,0.0011687829,0.00097544387,0.0011372388,0.0003453742],"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":[0.000042988093,0.00018470525,0.9968779,0.000031968346,0.000048117574,0.000028950764,0.0006834134,0.000025942241,0.00003497528,0.00001701402,0.0002740806,0.0017499529],"study_design_scores_gemma":[0.000007724259,0.00013080814,0.99695516,0.000023275936,0.00001910677,0.00010404387,0.0021146333,0.00012273039,0.000019804374,0.000011918018,0.00048362132,0.0000072773446],"about_ca_topic_score_codex":0.0075416747,"about_ca_topic_score_gemma":0.010278217,"teacher_disagreement_score":0.0075416747,"about_ca_system_score_codex":0.00061612925,"about_ca_system_score_gemma":0.0004776159,"threshold_uncertainty_score":0.014995575},"labels":[],"label_agreement":null},{"id":"W3021503610","doi":"10.2196/16692","title":"User Experiences With a Type 2 Diabetes Coaching App: Qualitative Study","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Medical Research Council; Diabetes Victoria; National Health and Medical Research Council; Roche Diabetes Care; Deakin University; Diabetes Australia; Bupa Foundation","keywords":"Disengagement theory; Context (archaeology); Coaching; Diabetes management; Self-management; mHealth; Type 2 diabetes; Health coaching; Psychology; Medicine; Applied psychology; Diabetes mellitus; Nursing; Gerontology; Computer science; Psychological intervention; Psychotherapist","score_opus":0.06780934566310683,"score_gpt":0.46284513790343196,"score_spread":0.39503579224032515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021503610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99395764,0.00046484373,0.0015422847,0.0006643806,0.000034302517,0.0002044276,0.0001685739,0.000015063867,0.002948451],"genre_scores_gemma":[0.994768,0.0008529027,0.0010567574,0.00067698833,0.000022734257,0.00036283676,0.00010058452,0.000024918052,0.0021341874],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.995201,0.0030950077,0.0002083554,0.0003539148,0.00047553508,0.0006662892],"domain_scores_gemma":[0.98741907,0.009623715,0.0007165982,0.0002497111,0.0010285167,0.0009623356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006413112,0.0005558941,0.00066659617,0.001179233,0.0053851474,0.0030647232,0.0011389371,0.0014406143,0.0023240403],"category_scores_gemma":[0.011896151,0.00057831465,0.0005206512,0.001235406,0.0028851605,0.002945461,0.0038760777,0.00169033,0.00038024198],"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":[0.000038186856,0.00008744818,0.006072753,0.0001761166,0.0000055812816,0.0009904336,0.9867027,0.00001817705,0.0006841451,0.00020951417,0.00031098662,0.004704025],"study_design_scores_gemma":[0.0000056822737,0.00011733832,0.005109769,0.0002173419,0.000007845136,0.00056614703,0.9883283,0.00013223513,0.00032227155,0.00008952973,0.0050864997,0.000017017723],"about_ca_topic_score_codex":0.006838228,"about_ca_topic_score_gemma":0.011109381,"teacher_disagreement_score":0.006838228,"about_ca_system_score_codex":0.0021446918,"about_ca_system_score_gemma":0.0021671494,"threshold_uncertainty_score":0.033916235},"labels":[],"label_agreement":null},{"id":"W3021527075","doi":"10.2196/19581","title":"The Challenges of COVID-19 for People Living With Diabetes: Considerations for Digital Health","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Public Health Ontario; University of Toronto; University Health Network","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Digital health; Diabetes mellitus; Medicine; Internet privacy; Virology; Computer science; Political science; Health care; Disease; Infectious disease (medical specialty); Pathology","score_opus":0.08457244039870673,"score_gpt":0.40848723502724626,"score_spread":0.32391479462853956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021527075","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00024360267,0.016533235,0.0006313353,0.96222,0.016094828,0.000019810772,0.000032234693,0.00004138357,0.0041835946],"genre_scores_gemma":[0.010237851,0.049544185,0.002246547,0.8841701,0.044313665,0.00012310912,0.000057933874,0.00010098962,0.009205625],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98324454,0.009893593,0.001443571,0.0009920789,0.0034115256,0.001014603],"domain_scores_gemma":[0.91772264,0.061616696,0.0021307073,0.0016932649,0.010735644,0.00610104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015899742,0.0007618875,0.001068096,0.0013508872,0.0052464437,0.012661419,0.003558371,0.027112367,0.012777773],"category_scores_gemma":[0.07580204,0.00040256756,0.0022859003,0.0011266994,0.0092926305,0.018697131,0.005987756,0.027670456,0.004629206],"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":[0.00004701161,0.000041529405,0.00034276827,0.0013025256,0.000023332303,0.00048716424,0.003957529,0.00010691545,0.00016150328,0.02887969,0.87281686,0.09183319],"study_design_scores_gemma":[0.00001621829,0.000041755557,0.00025937214,0.0024104374,0.000023197223,0.0005673984,0.0046954695,0.0001251237,0.000085907,0.010570918,0.9811544,0.000049858278],"about_ca_topic_score_codex":0.008687378,"about_ca_topic_score_gemma":0.01716767,"teacher_disagreement_score":0.027112367,"about_ca_system_score_codex":0.004517319,"about_ca_system_score_gemma":0.013421352,"threshold_uncertainty_score":0.084086895},"labels":[],"label_agreement":null},{"id":"W3025372242","doi":"10.2196/18363","title":"Relationship Between Age and Weight Loss in Noom: Quasi-Experimental Study","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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 Institute of Neurological Disorders and Stroke","keywords":"Gerontology; Medicine; Psychological intervention; Obesity; mHealth; Population; Weight loss; Intervention (counseling); Diabetes mellitus; Behavior change; Curriculum; Young adult; Physical therapy; Demography; Psychology; Environmental health; Internal medicine","score_opus":0.0948964302596252,"score_gpt":0.4421495022842565,"score_spread":0.3472530720246313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025372242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99374443,0.00008127157,0.00032378928,0.00008094322,0.000057727702,0.004909586,0.00018983467,0.000011305569,0.0006010914],"genre_scores_gemma":[0.9734219,0.0001701936,0.0033073113,0.0005547596,0.000107263215,0.019939506,0.00035027927,0.000007864203,0.0021409641],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99416536,0.0030296969,0.0004310684,0.00087159046,0.00072791753,0.00077445194],"domain_scores_gemma":[0.99032545,0.0039382423,0.0018782186,0.0012814851,0.0008573228,0.0017192377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009386478,0.00080456847,0.0015764626,0.000717218,0.0020576937,0.0011804467,0.0011314513,0.0013721655,0.0067791482],"category_scores_gemma":[0.01008304,0.0012672354,0.0010377938,0.0004429395,0.0018349,0.0014740407,0.0013390011,0.0017996321,0.00093821564],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_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":[0.087189704,0.75175226,0.112288795,0.00087794114,0.00042636332,0.00014931595,0.008837558,0.0002064957,0.0029767114,0.00047846517,0.0012465926,0.033569805],"study_design_scores_gemma":[0.06332264,0.60937566,0.31270543,0.00024585356,0.0003869094,0.00009770117,0.0054701148,0.0015351569,0.0013041722,0.000614191,0.004846639,0.00009552781],"about_ca_topic_score_codex":0.002813001,"about_ca_topic_score_gemma":0.0046729096,"teacher_disagreement_score":0.009386478,"about_ca_system_score_codex":0.0010868334,"about_ca_system_score_gemma":0.0030426031,"threshold_uncertainty_score":0.049641073},"labels":[],"label_agreement":null},{"id":"W30291090","doi":"10.2196/diabetes.6751","title":"Mitochondrial oxidative capacities: Does functional capacity match maximum physiological demand?","year":2014,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mitochondrial Function and Pathology","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":"","keywords":"Mitochondrion; Respiration; In vivo; Endothermic process; Oxygen; Electron transport chain; Oxidative phosphorylation; Substrate (aquarium); Biochemistry; In vitro; Biophysics; Cellular respiration; Bioenergetics; Chemistry; Biology; Anatomy; Ecology; Organic chemistry","score_opus":0.01573135322243759,"score_gpt":0.22838460784939082,"score_spread":0.21265325462695323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W30291090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43724453,0.283554,0.056820735,0.122708894,0.005627329,0.0004546142,0.0053978404,0.00069933594,0.087492794],"genre_scores_gemma":[0.954176,0.02892888,0.005421668,0.00550659,0.001242326,0.00016515164,0.0009904081,0.000093911665,0.0034749673],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983462,0.00048743904,0.00014844786,0.00046867458,0.00022905148,0.00032016856],"domain_scores_gemma":[0.9961157,0.001132079,0.0009140612,0.00029884305,0.0010110897,0.00052817067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033665565,0.000934386,0.0014523005,0.00148705,0.0009920303,0.004814251,0.0018555818,0.0023951638,0.0073297936],"category_scores_gemma":[0.0094033545,0.00043176528,0.00084372575,0.0012184294,0.0025087353,0.0055789887,0.0026503594,0.0018420061,0.0017238123],"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":[0.0033904093,0.0010316987,0.23454408,0.009706078,0.0015620337,0.0021120585,0.006205252,0.0075835143,0.042951807,0.09071309,0.05046808,0.5497319],"study_design_scores_gemma":[0.00024339344,0.003475719,0.44419998,0.0069523165,0.0011094825,0.005609673,0.018285498,0.015171066,0.019470997,0.29187945,0.19310026,0.0005021518],"about_ca_topic_score_codex":0.0030788379,"about_ca_topic_score_gemma":0.0035276904,"teacher_disagreement_score":0.0073297936,"about_ca_system_score_codex":0.0023331172,"about_ca_system_score_gemma":0.0013383261,"threshold_uncertainty_score":0.024520576},"labels":[],"label_agreement":null},{"id":"W3033761365","doi":"10.2196/17794","title":"Evaluation of a Text Messaging Intervention to Support Self-Management of Diabetes During Pregnancy Among Low-Income, Minority Women: Qualitative Study","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Gestational Diabetes Research and Management","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":"","keywords":"Gestational diabetes; Psychological intervention; Curriculum; Diabetes mellitus; Medicine; Pregnancy; Intervention (counseling); Population; Short Message Service; Family medicine; Nursing; Psychology; Medical education; Computer science; Gestation; Pedagogy","score_opus":0.029032131766996018,"score_gpt":0.36507235904423685,"score_spread":0.3360402272772408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033761365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99258524,0.00032383844,0.0016420882,0.0007240142,0.000050112154,0.0019842142,0.00014197204,0.000019104269,0.0025293785],"genre_scores_gemma":[0.98691535,0.0008206645,0.0052740867,0.00070582354,0.00003691249,0.0033656082,0.00012542249,0.00002374798,0.0027323077],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9958087,0.0030580095,0.00015494887,0.00019027654,0.0002844035,0.0005036269],"domain_scores_gemma":[0.9927725,0.0051453956,0.000493875,0.00020087321,0.00072043523,0.00066692434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010898749,0.00049795717,0.000563653,0.0008755612,0.004017476,0.0012945475,0.0017337557,0.00089820375,0.0023737124],"category_scores_gemma":[0.013757892,0.00040206936,0.00042616687,0.0007858284,0.0019559509,0.0011730179,0.0025904041,0.00091586506,0.00023339584],"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":[0.00028741005,0.0018285156,0.0092283245,0.0013357385,0.000021894704,0.0014087458,0.91556543,0.000082292376,0.005740134,0.000661305,0.00091096706,0.06292931],"study_design_scores_gemma":[0.0001318035,0.0024687755,0.015501417,0.0011625653,0.000058698457,0.00042961398,0.96146244,0.00040779903,0.00357338,0.0003209661,0.0144514255,0.00003111962],"about_ca_topic_score_codex":0.004458758,"about_ca_topic_score_gemma":0.007892257,"teacher_disagreement_score":0.010898749,"about_ca_system_score_codex":0.0033117756,"about_ca_system_score_gemma":0.0061250273,"threshold_uncertainty_score":0.057638824},"labels":[],"label_agreement":null},{"id":"W3036150487","doi":"10.2196/19268","title":"Changes in Patient-Reported Outcome Measures With a Technology-Supported Behavioral Lifestyle Intervention Among Patients With Type 2 Diabetes: Pilot Randomized Controlled Clinical Trial","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"National Center for Advancing Translational Sciences; National Institute on Aging","keywords":"Medicine; mHealth; Overweight; Randomized controlled trial; Physical therapy; Type 2 diabetes; Population; Clinical trial; Weight loss; Intervention (counseling); Gerontology; Psychological intervention; Obesity; Diabetes mellitus; Psychiatry; Internal medicine","score_opus":0.08684450942207154,"score_gpt":0.4212288406783405,"score_spread":0.33438433125626893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036150487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9296519,0.0029219333,0.0016227461,0.0010239222,0.0010387951,0.05902915,0.0022257757,0.00024975574,0.0022360517],"genre_scores_gemma":[0.87272924,0.0020023668,0.006433168,0.0012545906,0.0010034054,0.113257155,0.0013799655,0.000025892814,0.0019141628],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9958301,0.0024861891,0.0004507412,0.00053872674,0.00030189788,0.00039231667],"domain_scores_gemma":[0.99505377,0.0017490428,0.0012347508,0.0004189943,0.0005177177,0.0010256609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006061034,0.0022814448,0.0042090015,0.00096166815,0.0010237937,0.0014387517,0.0015768462,0.0031083198,0.00935822],"category_scores_gemma":[0.0063272216,0.0010439348,0.0037653907,0.0011707904,0.0018987564,0.0017939534,0.0010515812,0.0034679293,0.00096304313],"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":[0.96771497,0.023054507,0.0006699883,0.0005560249,0.0007947844,0.000019910116,0.000046778718,0.0001233111,0.00042161377,0.000032579068,0.00024577943,0.006319721],"study_design_scores_gemma":[0.9325213,0.06569969,0.0011367666,0.000021452484,0.00027216453,0.0000046929854,0.000014179078,0.00011862184,0.00007672962,0.00002575661,0.00010291763,0.000005886384],"about_ca_topic_score_codex":0.001572111,"about_ca_topic_score_gemma":0.00217252,"teacher_disagreement_score":0.00935822,"about_ca_system_score_codex":0.0010224589,"about_ca_system_score_gemma":0.0025469614,"threshold_uncertainty_score":0.032054186},"labels":[],"label_agreement":null},{"id":"W3041491598","doi":"10.2196/18146","title":"Facebook as a Medium for the Support and Enhancement of Ambulatory Care for People With Diabetes: Qualitative Realist Evaluation of a Real-World Trial","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Steno Diabetes Center Copenhagen","keywords":"Qualitative research; Ambulatory; Diabetes mellitus; Medicine; Psychology; Nursing; Sociology; Internal medicine; Social science","score_opus":0.15169211825361106,"score_gpt":0.4690883670177471,"score_spread":0.317396248764136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041491598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.943285,0.0011008157,0.0062723667,0.0030409486,0.0003563301,0.038676538,0.00079866656,0.00011987815,0.0063493396],"genre_scores_gemma":[0.9015029,0.0008128325,0.019540615,0.0014747734,0.00023252868,0.07442085,0.00029009287,0.000051615534,0.0016738048],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.86188227,0.12771496,0.0031304378,0.0014070697,0.003005527,0.002859755],"domain_scores_gemma":[0.8304543,0.14163618,0.007677396,0.0062581617,0.009025053,0.004948968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.11264456,0.0009887915,0.0013406632,0.0013444576,0.0040685725,0.0036728475,0.0025452636,0.002505262,0.005043435],"category_scores_gemma":[0.11811967,0.0007088684,0.001312804,0.0014343297,0.0048038927,0.0029185433,0.004492938,0.0027216673,0.00052727835],"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":[0.03972866,0.087205626,0.020941112,0.023314182,0.0013435568,0.0016550043,0.3398,0.003954554,0.0067532547,0.0066516786,0.010381861,0.45827046],"study_design_scores_gemma":[0.070002034,0.28839293,0.055509996,0.015012651,0.0028356959,0.000657273,0.44679633,0.0074603194,0.017605666,0.008945182,0.08599355,0.0007884475],"about_ca_topic_score_codex":0.0026065921,"about_ca_topic_score_gemma":0.0052707503,"teacher_disagreement_score":0.11264456,"about_ca_system_score_codex":0.00657597,"about_ca_system_score_gemma":0.009662328,"threshold_uncertainty_score":0.5957285},"labels":[],"label_agreement":null},{"id":"W3043932822","doi":"10.2196/15410","title":"Feasibility of the Web-Based Intervention Designed to Educate and Improve Adherence Through Learning to Use Continuous Glucose Monitor (IDEAL CGM) Training and Follow-Up Support Intervention: Randomized Controlled Pilot Study","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":"Randomized controlled trial; Medicine; Psychosocial; Intervention (counseling); Glycemic; Physical therapy; Attendance; Nursing; Diabetes mellitus; Surgery; Psychiatry","score_opus":0.0629187147746692,"score_gpt":0.3443463040176069,"score_spread":0.2814275892429377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043932822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85483944,0.00018607093,0.0021492871,0.0003321563,0.0002744095,0.140254,0.0006671189,0.00011641091,0.001180949],"genre_scores_gemma":[0.81676966,0.00033876958,0.013724808,0.00059817283,0.0002591303,0.16671126,0.00043354934,0.000014839708,0.0011498743],"study_design_codex":"nonrandomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9940865,0.0037341218,0.0004638292,0.0005226075,0.00048796763,0.00070495275],"domain_scores_gemma":[0.9956418,0.0019541786,0.00058925635,0.00032743675,0.0005246815,0.0009625728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009663192,0.0014774604,0.0021019492,0.0010442422,0.0011640154,0.00092035835,0.0015495577,0.0025940533,0.0067064166],"category_scores_gemma":[0.0073227747,0.0012269287,0.0016635933,0.00067970395,0.0017565191,0.0015504026,0.0012443187,0.0019022033,0.00086582464],"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":[0.42350134,0.5135318,0.0064602694,0.0014841745,0.00049812446,0.00013574566,0.00062876125,0.0006380893,0.0029799638,0.00022928207,0.000779352,0.0491331],"study_design_scores_gemma":[0.5051449,0.48017257,0.011644819,0.000089050205,0.0003165295,0.000023399429,0.00019511401,0.0007682738,0.00085168023,0.00013331835,0.00063379144,0.000026647276],"about_ca_topic_score_codex":0.002679256,"about_ca_topic_score_gemma":0.0034703442,"teacher_disagreement_score":0.009663192,"about_ca_system_score_codex":0.0014385867,"about_ca_system_score_gemma":0.0047395574,"threshold_uncertainty_score":0.051104486},"labels":[],"label_agreement":null},{"id":"W3046052920","doi":"10.2196/16146","title":"Analysis of Diabetes Apps to Assess Privacy-Related Permissions: Systematic Search of Apps","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"Mobile apps; Internet privacy; Android (operating system); Android app; Computer science; Privacy policy; App store; Mobile device; World Wide Web; Information privacy","score_opus":0.0925446229263033,"score_gpt":0.436296819633513,"score_spread":0.3437521967072097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046052920","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37156814,0.5124068,0.013483792,0.0021937778,0.00035467983,0.038813,0.054583076,0.00039204684,0.006204635],"genre_scores_gemma":[0.6998068,0.16269262,0.055161413,0.002347982,0.00019373244,0.052050322,0.026124194,0.0001355042,0.0014874523],"study_design_codex":"systematic_review","study_design_gemma":"observational","domain_scores_codex":[0.97406274,0.006831115,0.010970569,0.0018183138,0.0057526445,0.00056461577],"domain_scores_gemma":[0.8613427,0.10689311,0.017687064,0.0031335067,0.010200874,0.0007427847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023158286,0.0012423884,0.0033883373,0.03009358,0.0010351243,0.0014873537,0.0014515284,0.0011907417,0.0021915126],"category_scores_gemma":[0.084820054,0.0007867336,0.0038950765,0.016921552,0.0010020975,0.0026294996,0.00282424,0.000999724,0.0004968927],"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":[0.0013755437,0.00025557223,0.10053509,0.6324796,0.0063285357,0.0020694176,0.015902441,0.00045531464,0.0033354196,0.0011407624,0.009291249,0.22683112],"study_design_scores_gemma":[0.0011462854,0.0017998347,0.2868465,0.5392226,0.04238773,0.004621723,0.021633338,0.0026157773,0.005469014,0.0031250124,0.090689816,0.00044235896],"about_ca_topic_score_codex":0.0052613267,"about_ca_topic_score_gemma":0.019326972,"teacher_disagreement_score":0.03009358,"about_ca_system_score_codex":0.0016897524,"about_ca_system_score_gemma":0.011169833,"threshold_uncertainty_score":0.12247419},"labels":[],"label_agreement":null},{"id":"W3046057099","doi":"10.2196/21993","title":"Figure Correction: The Effect of a Cellular-Enabled Glucose Meter on Glucose Control for Patients With Diabetes: Prospective Pre-Post Study","year":2020,"lang":"en","type":"erratum","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"","keywords":"Glucose meter; Diabetes mellitus; Continuous glucose monitoring; Medicine; Metre; Internal medicine; Endocrinology; Glycemic; Physics","score_opus":0.005152913436447307,"score_gpt":0.24657260906299067,"score_spread":0.24141969562654336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046057099","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00036712503,0.0011079347,0.0009208308,0.057186827,0.92279357,0.00010469361,0.011081814,0.0008937975,0.0055434755],"genre_scores_gemma":[0.048333917,0.0116486605,0.014276977,0.17008542,0.3700233,0.0010435014,0.020496584,0.006441643,0.35765],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956945,0.00091490155,0.00080334704,0.00043714562,0.0017684334,0.00038164115],"domain_scores_gemma":[0.9626258,0.0143274125,0.0017810869,0.0016868066,0.018495543,0.0010833159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034218598,0.0021250653,0.0016599915,0.002996683,0.0019785413,0.002977707,0.0030797513,0.0053579262,0.16480139],"category_scores_gemma":[0.08442041,0.0010575847,0.0030209708,0.0025353574,0.0012347096,0.0016618249,0.001170515,0.0067551625,0.041987836],"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":[0.00007358412,0.0000054050656,0.00012725306,0.00017877063,0.000015475121,0.00015663952,0.000016119766,0.000033803255,0.000021169964,0.00032694088,0.9952022,0.0038425655],"study_design_scores_gemma":[0.00045333162,0.000072521085,0.0030495955,0.0018207467,0.00018891637,0.0015521996,0.00018537497,0.0006481981,0.0005374756,0.0021894807,0.98919487,0.000107402695],"about_ca_topic_score_codex":0.04070074,"about_ca_topic_score_gemma":0.035262804,"teacher_disagreement_score":0.16480139,"about_ca_system_score_codex":0.0032937794,"about_ca_system_score_gemma":0.00499457,"threshold_uncertainty_score":0.55131555},"labels":[],"label_agreement":null},{"id":"W3046159772","doi":"10.2196/21183","title":"Technology-Assisted Self-Monitoring of Lifestyle Behaviors and Health Indicators in Diabetes: Qualitative Study","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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 Center for Advancing Translational Sciences; National Institute on Aging; National Institutes of Health; Robert Wood Johnson Foundation","keywords":"Thematic analysis; Self-monitoring; Overweight; Intervention (counseling); Medicine; Randomized controlled trial; Gerontology; Qualitative research; Psychology; Clinical psychology; Obesity; Nursing; Social psychology","score_opus":0.059230433011439695,"score_gpt":0.4685316486382462,"score_spread":0.4093012156268065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046159772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98942786,0.000866902,0.003963346,0.0010723888,0.00004799467,0.00083114486,0.0005415769,0.00001469265,0.0032340563],"genre_scores_gemma":[0.9904812,0.0014895734,0.0033539145,0.00065921864,0.00002267747,0.0014387218,0.00022300363,0.000017340126,0.0023144193],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99425656,0.0041433456,0.00022884508,0.00033430607,0.00039856977,0.0006383788],"domain_scores_gemma":[0.9851607,0.011067278,0.0012162725,0.00033855514,0.0013533613,0.000863743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012147943,0.00042278128,0.00059552223,0.0012869567,0.004407708,0.0020170393,0.001133759,0.0008064074,0.0025028156],"category_scores_gemma":[0.013106208,0.00047798778,0.00052931096,0.0016928246,0.0026652894,0.0018984998,0.0033497503,0.0011901809,0.00026028272],"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":[0.00010084099,0.00018840043,0.011636453,0.00053583557,0.000014607502,0.00074883254,0.9714002,0.00005348652,0.001403011,0.00072285807,0.0006010008,0.012594423],"study_design_scores_gemma":[0.000016347638,0.00015512794,0.0073825433,0.0005191878,0.000014593275,0.00035654817,0.983257,0.00016554707,0.0006635177,0.00025184554,0.0071991375,0.000018558021],"about_ca_topic_score_codex":0.0075113634,"about_ca_topic_score_gemma":0.011384876,"teacher_disagreement_score":0.012147943,"about_ca_system_score_codex":0.003522113,"about_ca_system_score_gemma":0.0041436474,"threshold_uncertainty_score":0.06424528},"labels":[],"label_agreement":null},{"id":"W3046600855","doi":"10.2196/18660","title":"The Diabits App for Smartphone-Assisted Predictive Monitoring of Glycemia in Patients With Diabetes: Retrospective Observational Study","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":"","keywords":"Glycemic; Diabetes mellitus; Medicine; Observational study; Continuous glucose monitoring; Retrospective cohort study; Computer science; Internal medicine; Emergency medicine; Endocrinology","score_opus":0.04284404796548269,"score_gpt":0.30154723697152697,"score_spread":0.2587031890060443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046600855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957943,0.00027419266,0.00041988576,0.00005955386,0.000016504753,0.00011357173,0.0028853235,0.000012818829,0.00042395576],"genre_scores_gemma":[0.9950605,0.00022955755,0.00053318636,0.00012282575,0.00003078581,0.000148484,0.0036287769,0.0000093021545,0.00023654022],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990656,0.00019345882,0.00017124599,0.00023826315,0.00023724441,0.000094159936],"domain_scores_gemma":[0.99661773,0.00093506975,0.0009700884,0.000439998,0.00072365755,0.00031351874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013818023,0.00036152746,0.00055386324,0.0006880957,0.0005293866,0.0008095449,0.00040198176,0.00046411104,0.0014784822],"category_scores_gemma":[0.005734231,0.0003134846,0.0007802269,0.0009115465,0.00023339473,0.0006693093,0.0007682845,0.0011265922,0.0005900034],"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":[0.00033908017,0.0002413506,0.9956845,0.000050335013,0.000092070986,0.00014425055,0.00015254796,0.000046578745,0.00008100331,0.000022113501,0.00072826724,0.0024179295],"study_design_scores_gemma":[0.00009184238,0.0013581491,0.991021,0.00008868927,0.00034828784,0.0013415917,0.0013281606,0.0017214275,0.00025028284,0.0000786974,0.0023354313,0.000036459565],"about_ca_topic_score_codex":0.0053459583,"about_ca_topic_score_gemma":0.005733483,"teacher_disagreement_score":0.0053459583,"about_ca_system_score_codex":0.00032993403,"about_ca_system_score_gemma":0.0006092643,"threshold_uncertainty_score":0.010629714},"labels":[],"label_agreement":null},{"id":"W3083964361","doi":"10.2196/15835","title":"Intervention Enhancement Strategies Among Adults With Type 2 Diabetes in a Very Low–Carbohydrate Web-Based Program: Evaluating the Impact With a Randomized Trial","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diet and metabolism studies","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 Center for Complementary and Integrative Health; National Institute of Nursing Research; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health; National Center for Research Resources; National Institute of Mental Health; University of Michigan","keywords":"Medicine; Type 2 diabetes; Glycemic; Randomized controlled trial; Overweight; Glycated hemoglobin; Weight loss; Diabetes mellitus; Physical therapy; Internal medicine; Obesity; Endocrinology","score_opus":0.018920495946521163,"score_gpt":0.3255141684303069,"score_spread":0.3065936724837857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083964361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9634101,0.002323025,0.0013050957,0.00039714313,0.0007347372,0.029979652,0.00055941433,0.00014627086,0.0011444972],"genre_scores_gemma":[0.93430966,0.0021887159,0.0074192085,0.0008037919,0.0007246245,0.05250379,0.00049616356,0.000023550432,0.0015304951],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99562955,0.0027610608,0.00045902582,0.00047008094,0.00033196824,0.0003483323],"domain_scores_gemma":[0.99567986,0.002060036,0.0007510042,0.00033861323,0.00032810756,0.0008423636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055087595,0.0017846046,0.00319661,0.0009488333,0.0009685553,0.0013536549,0.0015233546,0.0030411948,0.0061235093],"category_scores_gemma":[0.0064937244,0.0008969748,0.0037775158,0.00087261567,0.0013267796,0.0013505194,0.0012052543,0.0024647908,0.00062916137],"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":[0.91570115,0.060553614,0.0010094969,0.0014445159,0.0023314117,0.00003398323,0.00012813107,0.0003307608,0.0007361149,0.00007959725,0.00023710988,0.017414134],"study_design_scores_gemma":[0.888383,0.10748137,0.0017760905,0.00009478193,0.0012813017,0.000008943413,0.000044663277,0.00041618707,0.00022744051,0.0000762166,0.00019916458,0.000010797944],"about_ca_topic_score_codex":0.0032556914,"about_ca_topic_score_gemma":0.0033501766,"teacher_disagreement_score":0.0061235093,"about_ca_system_score_codex":0.0013167759,"about_ca_system_score_gemma":0.0021684759,"threshold_uncertainty_score":0.029133499},"labels":[],"label_agreement":null},{"id":"W3086152786","doi":"10.2196/20532","title":"Secondary Impact of Social Media via Text Message Screening for Type 2 Diabetes Risk in Kuwait: Survey Study","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Prediabetes; Medicine; Psychological intervention; Disease; Short Message Service; Population; Type 2 diabetes; Public health; Family medicine; Internet privacy; Diabetes mellitus; Environmental health; Computer science; Nursing","score_opus":0.09847631579294555,"score_gpt":0.45161614645985015,"score_spread":0.3531398306669046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086152786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982799,0.00007474232,0.00003309605,0.000062079605,0.0000060657176,0.00009883577,0.0008855831,0.000004235228,0.00055543164],"genre_scores_gemma":[0.99888474,0.000083856765,0.000054049186,0.000079413294,0.000007765204,0.00012154528,0.00039470496,0.0000021155402,0.00037179966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839044,0.0006163626,0.0001999556,0.00017228835,0.00018528989,0.00043570274],"domain_scores_gemma":[0.99749327,0.00037102136,0.0010394652,0.00012797308,0.00043124857,0.000536964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012389737,0.0006509595,0.0004081723,0.0018113236,0.001101054,0.0012010798,0.0007179183,0.00081361266,0.0027429224],"category_scores_gemma":[0.0027923882,0.0005582335,0.0008417752,0.0025982105,0.00054950087,0.0008924557,0.0012828063,0.0009867892,0.00071669737],"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":[0.000072959796,0.0003053759,0.9972367,0.0000386447,0.00004624935,0.00009668996,0.00071157975,0.000022087415,0.00011890755,0.00001068689,0.0001593467,0.001180727],"study_design_scores_gemma":[0.000009670417,0.00022933468,0.99741995,0.000016649556,0.000041715266,0.00006576943,0.0018322688,0.000166329,0.00003931803,0.0000066583393,0.0001637214,0.000008596028],"about_ca_topic_score_codex":0.09920336,"about_ca_topic_score_gemma":0.087756895,"teacher_disagreement_score":0.09920336,"about_ca_system_score_codex":0.0017243153,"about_ca_system_score_gemma":0.0016618478,"threshold_uncertainty_score":0.19725186},"labels":[],"label_agreement":null},{"id":"W3095236073","doi":"10.2196/21551","title":"Continuous Glucose Monitoring With Low-Carbohydrate Diet Coaching in Adults With Prediabetes: Mixed Methods Pilot Study","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diet and metabolism studies","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 Institute of Diabetes and Digestive and Kidney Diseases; University of Michigan","keywords":"Prediabetes; Medicine; Craving; Coaching; Health coaching; Type 2 Diabetes Mellitus; Intervention (counseling); Glycated hemoglobin; Diabetes mellitus; Physical therapy; Type 2 diabetes; Endocrinology; Psychology; Nursing; Psychiatry","score_opus":0.01982485760526578,"score_gpt":0.29472170355341826,"score_spread":0.2748968459481525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095236073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98559976,0.0009452295,0.0018751356,0.0001332494,0.000058276786,0.010330128,0.000376912,0.000019993291,0.0006612545],"genre_scores_gemma":[0.95720524,0.0009823433,0.0099645415,0.00077114644,0.00009904139,0.029893825,0.00046632902,0.000009976969,0.00060764386],"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99040496,0.0068535786,0.000904791,0.0007076771,0.00061362766,0.00051552255],"domain_scores_gemma":[0.99369615,0.0029456704,0.0012124163,0.0006638664,0.00093577325,0.0005461316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012209409,0.0012475312,0.0017464377,0.00095745083,0.001799274,0.0012110185,0.0009890792,0.0013857749,0.0024624623],"category_scores_gemma":[0.009465591,0.0011186469,0.0023799504,0.0013002539,0.0006212584,0.0011009417,0.0011594655,0.0009000384,0.00046177508],"study_design_candidate":"nonrandomized_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":[0.08167354,0.14356016,0.5608683,0.006935111,0.0077570253,0.0008337047,0.025046494,0.0008188966,0.004322933,0.0007061445,0.0025090398,0.16496861],"study_design_scores_gemma":[0.05177789,0.31876853,0.59031385,0.0010806815,0.004721364,0.00057479105,0.019678552,0.0048745866,0.001572203,0.00067378185,0.0056902445,0.0002734896],"about_ca_topic_score_codex":0.005574977,"about_ca_topic_score_gemma":0.009861843,"teacher_disagreement_score":0.012209409,"about_ca_system_score_codex":0.0012225407,"about_ca_system_score_gemma":0.0023692313,"threshold_uncertainty_score":0.06457031},"labels":[],"label_agreement":null},{"id":"W3100118070","doi":"10.2196/21611","title":"Exchanges in a Virtual Environment for Diabetes Self-Management Education and Support: Social Network Analysis","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mental Health Research Topics","field":"Psychology","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":"U.S. National Library of Medicine; National Institute of Nursing Research; National Institutes of Health; U.S. Department of Veterans Affairs","keywords":"Psychological intervention; eHealth; Diabetes mellitus; Social support; The Internet; Diabetes management; Self-management; USable; Population; Type 2 diabetes; Medicine; Psychology; Knowledge management; Applied psychology; Computer science; Nursing; Social psychology; Health care; World Wide Web; Environmental health","score_opus":0.029609484358712725,"score_gpt":0.3568686623615146,"score_spread":0.32725917800280185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100118070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751541,0.00035364987,0.01855228,0.00050786405,0.000025407302,0.0003772017,0.00093956257,0.00007886335,0.004011104],"genre_scores_gemma":[0.98829496,0.00015007095,0.010398646,0.000016046617,0.000011014101,0.00020736884,0.0005312048,0.0000068689164,0.00038389757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986034,0.0009672773,0.000057578018,0.00013188503,0.00015991348,0.00008000498],"domain_scores_gemma":[0.9948184,0.0037385712,0.00064112793,0.00019961334,0.0003072701,0.0002950471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023584845,0.0003235506,0.00025516134,0.0037256693,0.00086852204,0.0015892242,0.0004522611,0.0003431889,0.0023052688],"category_scores_gemma":[0.010421588,0.00012339317,0.000517784,0.002911338,0.00035077668,0.0021604083,0.0016124524,0.00043511635,0.00015342481],"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":[0.00066975463,0.0010528894,0.709974,0.0007678852,0.00073758786,0.00050661335,0.021841977,0.012752465,0.0021458236,0.013537714,0.004392662,0.23162073],"study_design_scores_gemma":[0.00007336381,0.0007154845,0.71110046,0.0003448668,0.0006293922,0.0004921706,0.04180723,0.21318907,0.0013603569,0.017789898,0.01240006,0.00009762945],"about_ca_topic_score_codex":0.0042578545,"about_ca_topic_score_gemma":0.0054034777,"teacher_disagreement_score":0.0042578545,"about_ca_system_score_codex":0.0009101758,"about_ca_system_score_gemma":0.00064840505,"threshold_uncertainty_score":0.012472987},"labels":[],"label_agreement":null},{"id":"W3104429942","doi":"10.2196/19650","title":"Mobile Clinical Decision Support System for the Management of Diabetic Patients With Kidney Complications in UK Primary Care Settings: Mixed Methods Feasibility Study","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"King Saud University; National Institute for Health and Care Research","keywords":"eHealth; Medicine; Clinical decision support system; Mobile apps; Exploratory research; Randomized controlled trial; Kidney disease; Intervention (counseling); mHealth; Diabetes management; Health care; Decision support system; Diabetes mellitus; Family medicine; Nursing; Clinical trial; Telemedicine; Type 2 diabetes; Psychological intervention; Computer science; Internal medicine","score_opus":0.06132112718860939,"score_gpt":0.47267026193355693,"score_spread":0.41134913474494755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104429942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817653,0.0005658516,0.0010002512,0.00033008208,0.000039908486,0.015066435,0.00027604483,0.00001215574,0.0009439985],"genre_scores_gemma":[0.95433503,0.0016895264,0.01318167,0.0012226109,0.00009570116,0.028410591,0.0002456299,0.000012666265,0.00080662355],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.98023397,0.013495554,0.0021797884,0.0008766775,0.001849128,0.0013649303],"domain_scores_gemma":[0.9713028,0.01838528,0.002774381,0.0012258589,0.004163564,0.0021481018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026926944,0.00066507957,0.0011929327,0.0013775188,0.0023925959,0.0023718162,0.00083980075,0.0015589471,0.004297331],"category_scores_gemma":[0.036285445,0.0011369387,0.0014310074,0.0010537971,0.0012706448,0.0019307818,0.002193403,0.001246058,0.00047287493],"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":[0.024526387,0.14496274,0.28023893,0.016326124,0.0011552921,0.003621468,0.20034617,0.0009141943,0.0049809148,0.0014801328,0.0042124903,0.31723523],"study_design_scores_gemma":[0.026728267,0.36625606,0.41772267,0.0052348874,0.0015701436,0.0021099737,0.15463606,0.0037181126,0.0026339004,0.0010626839,0.017736245,0.0005911126],"about_ca_topic_score_codex":0.007694103,"about_ca_topic_score_gemma":0.0147545645,"teacher_disagreement_score":0.026926944,"about_ca_system_score_codex":0.0031207039,"about_ca_system_score_gemma":0.0077114003,"threshold_uncertainty_score":0.14240503},"labels":[],"label_agreement":null},{"id":"W3114178403","doi":"10.2196/24681","title":"Public Perspectives on Anti-Diabetic Drugs: Exploratory Analysis of Twitter Posts","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"U.S. National Library of Medicine; National Institutes of Health; National Institute for Health and Care Research","keywords":"Exploratory analysis; Social media; Exploratory research; Internet privacy; Business; Sociology; Computer science; World Wide Web; Data science; Social science","score_opus":0.1243247562882562,"score_gpt":0.3715332571105199,"score_spread":0.24720850082226367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114178403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99144155,0.00012776381,0.0010112219,0.00064006745,0.000018363238,0.00015463139,0.0035613652,0.000021480391,0.0030235422],"genre_scores_gemma":[0.99249786,0.00027453125,0.0026846537,0.00021661608,0.000043995344,0.00050885155,0.0025061087,0.000028009585,0.0012393001],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99846625,0.0007548298,0.00010061167,0.00014227597,0.00029676568,0.00023937067],"domain_scores_gemma":[0.9860563,0.010810659,0.0016482329,0.00031753967,0.000926167,0.00024103501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022104313,0.00032180175,0.00032496182,0.0035290262,0.0012108819,0.0018704471,0.0003656604,0.0005157834,0.0020908923],"category_scores_gemma":[0.011498726,0.00021332747,0.00036379445,0.003949451,0.0008653702,0.0026429812,0.002177386,0.0006203753,0.0004982373],"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":[0.0008151624,0.00020143142,0.2925896,0.0019124082,0.000109686756,0.0021639394,0.6104406,0.00065714214,0.013897677,0.0035254515,0.007817208,0.06586961],"study_design_scores_gemma":[0.00002657245,0.00021734639,0.37998116,0.0005290639,0.00007648901,0.0006282643,0.57924676,0.0045395144,0.003737833,0.0019703207,0.028949859,0.000096834745],"about_ca_topic_score_codex":0.003318994,"about_ca_topic_score_gemma":0.004828569,"teacher_disagreement_score":0.0035290262,"about_ca_system_score_codex":0.0008833623,"about_ca_system_score_gemma":0.00062989455,"threshold_uncertainty_score":0.01169008},"labels":[],"label_agreement":null},{"id":"W3115585840","doi":"10.2196/23708","title":"Using Virtual Reality to Improve Health Care Providers’ Cultural Self-Efficacy and Diabetes Attitudes: Pilot Questionnaire Study","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Cultural Competency in Health Care","field":"Social Sciences","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":"","keywords":"Workforce; Health care; Medicine; Diabetes mellitus; Family medicine; Certification; Nursing; Gerontology; Health literacy","score_opus":0.07386325598833196,"score_gpt":0.39901746785515746,"score_spread":0.32515421186682547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115585840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99922097,0.000030039266,0.00008886779,0.00003795813,0.000005029462,0.0003188964,0.000040189312,0.0000028903678,0.00025526877],"genre_scores_gemma":[0.99783486,0.0001225144,0.00092544884,0.00014392284,0.000011365126,0.0006783674,0.000060025894,0.0000019008397,0.00022143377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99798113,0.0011664437,0.00016749096,0.00011788451,0.00024975222,0.00031735434],"domain_scores_gemma":[0.9940767,0.0030486337,0.00088863145,0.00021510995,0.00072136824,0.0010495202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053374604,0.00039636597,0.00049827865,0.00061300606,0.0010814072,0.00068631564,0.00040500623,0.00050790183,0.0014557351],"category_scores_gemma":[0.0058965557,0.0005463939,0.00060147495,0.0004540884,0.0005319785,0.00065547356,0.0007395814,0.0010316687,0.00025050636],"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":[0.0013207205,0.04068722,0.83059514,0.0005183141,0.00023773953,0.0006104702,0.05708151,0.0004337765,0.0028016332,0.0001507425,0.0015757864,0.06398686],"study_design_scores_gemma":[0.0007395749,0.026620723,0.93474466,0.0001243967,0.00012868423,0.00033860208,0.032195784,0.0012932454,0.00074104447,0.00006213269,0.0029572179,0.000053895605],"about_ca_topic_score_codex":0.0022662685,"about_ca_topic_score_gemma":0.0044140886,"teacher_disagreement_score":0.0053374604,"about_ca_system_score_codex":0.0005611449,"about_ca_system_score_gemma":0.0011655294,"threshold_uncertainty_score":0.028227508},"labels":[],"label_agreement":null},{"id":"W3116861048","doi":"10.2196/20888","title":"Relationship Between Diabetes, Stress, and Self-Management to Inform Chronic Disease Product Development: Retrospective Cross-Sectional Study","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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":"Diabetes mellitus; Medicine; Glycemic; Distress; Stress management; Body mass index; Diabetes management; Disease; Physical therapy; Cross-sectional study; Gerontology; Clinical psychology; Type 2 diabetes; Internal medicine; Endocrinology","score_opus":0.028219789362000456,"score_gpt":0.3053684524586948,"score_spread":0.27714866309669434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116861048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99772984,0.0001681032,0.00023916514,0.000041435258,0.0000067940528,0.00016472668,0.0010766651,0.0000036346319,0.00056966586],"genre_scores_gemma":[0.99762386,0.00016835165,0.00068193383,0.00010056476,0.000012246797,0.00021886824,0.0009782993,0.0000026572843,0.0002131851],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909604,0.00030189686,0.00015945845,0.00013704841,0.00021330576,0.00009221814],"domain_scores_gemma":[0.9966131,0.0005666609,0.0016187003,0.00025674602,0.0005453905,0.00039930758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019193671,0.00024788574,0.00025535192,0.0009230187,0.00080461055,0.0008045139,0.00032898577,0.00040247466,0.001256058],"category_scores_gemma":[0.0033292815,0.00043132796,0.00043588996,0.001400579,0.00027850663,0.0006960635,0.0007425903,0.0007691504,0.00031808324],"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":[0.000022812865,0.00009876039,0.99878365,0.000014831977,0.00001440963,0.000014294794,0.00016550362,0.000007990455,0.000056406996,0.0000049035834,0.00006552394,0.0007510164],"study_design_scores_gemma":[0.0000066841717,0.00027855672,0.9979036,0.000017984603,0.000018833383,0.00012462033,0.001055882,0.0001021791,0.00006220587,0.000010597395,0.0004150845,0.0000039002784],"about_ca_topic_score_codex":0.0049796207,"about_ca_topic_score_gemma":0.0088440655,"teacher_disagreement_score":0.0049796207,"about_ca_system_score_codex":0.00042074424,"about_ca_system_score_gemma":0.0005002507,"threshold_uncertainty_score":0.010150731},"labels":[],"label_agreement":null},{"id":"W3119372744","doi":"10.2196/21400","title":"Diabetes Distress and Glycemic Control in Type 2 Diabetes: Mediator and Moderator Analysis of a Peer Support Intervention","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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 Institute of Diabetes and Digestive and Kidney Diseases; Health Services Research and Development; U.S. Department of Veterans Affairs","keywords":"Glycemic; Distress; Medicine; Psychological intervention; Type 2 diabetes; Diabetes mellitus; Psychosocial; Peer support; Population; Glycated hemoglobin; Social support; Clinical psychology; Psychology; Psychiatry; Endocrinology; Environmental health","score_opus":0.008157980687157665,"score_gpt":0.27393821622969045,"score_spread":0.2657802355425328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119372744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996201,0.0010466917,0.00054512726,0.00031817894,0.000106395106,0.001198893,0.00011482987,0.000016225149,0.000452654],"genre_scores_gemma":[0.9942458,0.0005981921,0.0020890953,0.00010917507,0.00011416206,0.0023498244,0.00009749668,0.0000056222066,0.0003906206],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9883394,0.00982634,0.0003819053,0.0004772976,0.00041303635,0.00056199037],"domain_scores_gemma":[0.9858495,0.010924665,0.0012007492,0.00036986684,0.00047631044,0.0011788983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011973722,0.0011593925,0.0018911444,0.0005949277,0.0007652128,0.000939707,0.001172029,0.0012264894,0.0046978616],"category_scores_gemma":[0.021337979,0.00042371164,0.003500467,0.0005995393,0.0006519131,0.0009390591,0.001935706,0.0018273706,0.00016064581],"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":[0.55390745,0.083788544,0.12289505,0.0062968098,0.033201806,0.0003277545,0.00424925,0.004423226,0.0035687534,0.0012217654,0.0011731056,0.18494645],"study_design_scores_gemma":[0.16859132,0.44207656,0.29940993,0.0012056803,0.06576429,0.00012794102,0.0019367035,0.013736621,0.0033944934,0.0016005683,0.002048061,0.00010778093],"about_ca_topic_score_codex":0.0024408614,"about_ca_topic_score_gemma":0.002269662,"teacher_disagreement_score":0.011973722,"about_ca_system_score_codex":0.0009114172,"about_ca_system_score_gemma":0.0022606375,"threshold_uncertainty_score":0.063323855},"labels":[],"label_agreement":null},{"id":"W3120843836","doi":"10.2196/25574","title":"Evaluation of a Diabetes Remote Monitoring Program Facilitated by Connected Glucose Meters for Patients With Poorly Controlled Type 2 Diabetes: Randomized Crossover Trial","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","field":"Medicine","cited_by":50,"is_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":"Medicine; Diabetes mellitus; Type 2 diabetes; Randomized controlled trial; Self-monitoring; Glucose meter; Blood Glucose Self-Monitoring; Diabetes management; Emergency medicine; Glycemic; Internal medicine; Endocrinology; Psychology; Continuous glucose monitoring","score_opus":0.021520198855699266,"score_gpt":0.3185526857000242,"score_spread":0.29703248684432493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120843836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817661,0.0026981924,0.0006336711,0.0005025476,0.0008771489,0.0114143295,0.0006876625,0.00012079821,0.0012996037],"genre_scores_gemma":[0.96784055,0.0023070946,0.003198299,0.0011863811,0.0010144114,0.021195723,0.00088240433,0.000022136968,0.002352975],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9981871,0.0008712218,0.0001587483,0.00039835603,0.00013343149,0.00025114408],"domain_scores_gemma":[0.9974553,0.0006790228,0.0005674779,0.00020800847,0.00023471659,0.0008555865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00283955,0.0022805375,0.0048913276,0.0007234925,0.0009907834,0.0016197352,0.0015594718,0.0033271099,0.0076163],"category_scores_gemma":[0.003376067,0.0010844877,0.0029334424,0.000668209,0.0012972048,0.0017979643,0.00080860045,0.003124792,0.0010703559],"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":[0.9747813,0.018451087,0.0006104881,0.0003854172,0.00058945274,0.000021986092,0.0000442,0.00007835088,0.00035066277,0.000030646243,0.00019227676,0.0044639925],"study_design_scores_gemma":[0.94523233,0.05319102,0.00094140467,0.000025661197,0.0002686155,0.0000064425517,0.000021844939,0.000112238595,0.000057458376,0.00003335247,0.000103321174,0.0000063518523],"about_ca_topic_score_codex":0.0023336678,"about_ca_topic_score_gemma":0.0032400014,"teacher_disagreement_score":0.0076163,"about_ca_system_score_codex":0.0012524334,"about_ca_system_score_gemma":0.0018339587,"threshold_uncertainty_score":0.025479078},"labels":[],"label_agreement":null},{"id":"W3123700022","doi":"10.2196/22458","title":"Ability of Current Machine Learning Algorithms to Predict and Detect Hypoglycemia in Patients With Diabetes Mellitus: Meta-analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":51,"is_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":"Hypoglycemia; False positive paradox; Algorithm; Medicine; Diabetes mellitus; Meta-analysis; Machine learning; Receiver operating characteristic; Confidence interval; Artificial intelligence; Internal medicine; Computer science; Endocrinology","score_opus":0.026735745295506763,"score_gpt":0.2963578665055502,"score_spread":0.2696221212100434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123700022","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02338641,0.96670294,0.005837012,0.0008309849,0.0004034006,0.0003263462,0.001605823,0.00014745799,0.000759703],"genre_scores_gemma":[0.71614844,0.265345,0.010590008,0.0018003547,0.0009139651,0.0013674481,0.0032022484,0.00014751624,0.0004850316],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9586418,0.02672392,0.007194254,0.003984638,0.0029362547,0.00051905436],"domain_scores_gemma":[0.8225933,0.1558697,0.0129251,0.0046938076,0.003451342,0.00046674925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.055626277,0.003266611,0.013455022,0.007641667,0.00059307023,0.0044004996,0.002502048,0.0024148203,0.0020071503],"category_scores_gemma":[0.12658721,0.001429806,0.06032456,0.0058190245,0.0010412073,0.0027258522,0.001654243,0.0029049185,0.00030021823],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003620286,0.000024445388,0.021885728,0.04211933,0.91922224,0.000058722475,0.000038178987,0.0023777524,0.00010689645,0.00015818277,0.00049845956,0.009889894],"study_design_scores_gemma":[0.00080007076,0.00027513978,0.008719213,0.0064224256,0.9803342,0.00008372361,0.000021831525,0.0015381603,0.00015215832,0.00070196646,0.0009209136,0.000030183382],"about_ca_topic_score_codex":0.0039566415,"about_ca_topic_score_gemma":0.004499984,"teacher_disagreement_score":0.055626277,"about_ca_system_score_codex":0.0018056398,"about_ca_system_score_gemma":0.0016924709,"threshold_uncertainty_score":0.29418337},"labels":[],"label_agreement":null},{"id":"W3125292757","doi":"10.2196/23364","title":"Using Wearable Activity Trackers to Predict Type 2 Diabetes: Machine Learning–Based Cross-sectional Study of the UK Biobank Accelerometer Cohort","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Physical Activity and Health","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":"Engineering and Physical Sciences Research Council; Medical Research Council","keywords":"Biobank; Activity tracker; Accelerometer; Medicine; Wearable computer; Cohort; Population; Type 2 diabetes; Set (abstract data type); Wearable technology; Cohort study; Physical medicine and rehabilitation; Physical therapy; Physical activity; Computer science; Diabetes mellitus; Environmental health; Bioinformatics; Internal medicine","score_opus":0.06857283380015133,"score_gpt":0.3582353205905757,"score_spread":0.2896624867904244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125292757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963923,0.0003070342,0.00043064117,0.000073570875,0.000022215492,0.000058983795,0.0022293811,0.000009716687,0.00047605528],"genre_scores_gemma":[0.99604404,0.00023738992,0.000535884,0.00011367023,0.00002226248,0.00011095492,0.002266137,0.000010358091,0.0006594504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985557,0.000344287,0.00018476116,0.0004902596,0.00028110878,0.00014386742],"domain_scores_gemma":[0.99728787,0.0003502295,0.0009796576,0.0005776558,0.00055616413,0.0002485327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015268488,0.0005397867,0.0005702616,0.0007279526,0.0006339608,0.0013330595,0.0006317743,0.0009026642,0.0017051486],"category_scores_gemma":[0.00519474,0.00077943626,0.0006255157,0.0013172834,0.0003649199,0.0007079691,0.00094878394,0.0011634218,0.0009607171],"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":[0.00021155886,0.00008366903,0.9971505,0.00001649083,0.00008757023,0.00008159968,0.00020585555,0.000045880653,0.00025704398,0.000017798848,0.00047980255,0.0013623191],"study_design_scores_gemma":[0.000016845497,0.000101775695,0.99881375,0.000018119295,0.00003608363,0.00016913097,0.00015334235,0.0002693491,0.00004899639,0.000014063174,0.00035125896,0.0000073557935],"about_ca_topic_score_codex":0.031824157,"about_ca_topic_score_gemma":0.030914709,"teacher_disagreement_score":0.031824157,"about_ca_system_score_codex":0.0006878049,"about_ca_system_score_gemma":0.0003839486,"threshold_uncertainty_score":0.06327784},"labels":[],"label_agreement":null},{"id":"W3128147554","doi":"10.2196/20774","title":"Accuracy of the Standard GlucoNavii Mentor in Blood Glucose Monitoring According to International Organization for Standardization 15197:2013 Criteria","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"","keywords":"Standardization; Blood Glucose Self-Monitoring; Blood glucose monitoring; Roche Diagnostics; Hexokinase; Medicine; Continuous glucose monitoring; Internal medicine; Computer science; Diabetes mellitus; Endocrinology; Operating system; Type 1 diabetes","score_opus":0.018101378999506316,"score_gpt":0.3388729775851815,"score_spread":0.32077159858567517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128147554","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32120097,0.03291855,0.5578805,0.0029415337,0.0053075366,0.013269579,0.005889201,0.0032287673,0.057363383],"genre_scores_gemma":[0.49821338,0.0037622538,0.47134447,0.0019374607,0.00042399994,0.009627081,0.008306545,0.0006186325,0.005766124],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.8460429,0.060629092,0.03209961,0.008328383,0.05115952,0.0017405687],"domain_scores_gemma":[0.90946215,0.024391256,0.008855175,0.0124961985,0.04405236,0.0007427677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.11155232,0.0013133873,0.0019859702,0.0050239926,0.0019439519,0.0033992429,0.0038745294,0.0024612069,0.0020737022],"category_scores_gemma":[0.093907416,0.0006762388,0.0027000925,0.0034591241,0.0025406785,0.0014877071,0.0024078395,0.0016026145,0.0016706787],"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":[0.005338484,0.0021559522,0.32410896,0.006071408,0.0017321779,0.00061720837,0.0050451793,0.0052022436,0.056615576,0.024581663,0.03755882,0.53097236],"study_design_scores_gemma":[0.0010628408,0.007957812,0.5044281,0.0063374764,0.003821395,0.0059525715,0.0029826534,0.050859187,0.17522158,0.013187654,0.22755729,0.0006314063],"about_ca_topic_score_codex":0.0026531555,"about_ca_topic_score_gemma":0.0035677415,"teacher_disagreement_score":0.11155232,"about_ca_system_score_codex":0.0018894451,"about_ca_system_score_gemma":0.0062335716,"threshold_uncertainty_score":0.5899521},"labels":[],"label_agreement":null},{"id":"W3128611430","doi":"10.2196/20973","title":"Experiences of Young People and Their Caregivers of Using Technology to Manage Type 1 Diabetes Mellitus: Systematic Literature Review and Narrative Synthesis","year":2021,"lang":"en","type":"review","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Australian Research Council; Australian National University","keywords":"Thematic analysis; Type 2 Diabetes Mellitus; Focus group; Diabetes mellitus; Narrative; Diabetes management; Medicine; Health technology; Qualitative research; Type 2 diabetes; Health care; Gerontology; Psychology; Nursing; Sociology","score_opus":0.020647542078125917,"score_gpt":0.337168327349139,"score_spread":0.31652078527101307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128611430","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020214844,0.96858054,0.0012882766,0.0031397033,0.00050551014,0.0020197066,0.0013520222,0.000014459198,0.0028850015],"genre_scores_gemma":[0.10644711,0.8788569,0.0048707435,0.0026281304,0.00015074252,0.0057643484,0.0006252187,0.000014032958,0.00064290036],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9841979,0.008799764,0.0044096736,0.0006632586,0.0013823238,0.00054704037],"domain_scores_gemma":[0.9533978,0.037387587,0.0045747445,0.00047861296,0.003643136,0.0005180639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018367218,0.0011137787,0.0032970698,0.012616261,0.001959811,0.0037816092,0.0012631568,0.0018762613,0.0029711428],"category_scores_gemma":[0.061841037,0.00097503216,0.003236457,0.011940226,0.0015374215,0.004875818,0.0031625272,0.0017924852,0.0002559464],"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":[0.00021099176,0.000039335817,0.0026198756,0.8477525,0.0021728522,0.0013370261,0.05601772,0.0001511837,0.00034722328,0.0027882394,0.005083968,0.0814791],"study_design_scores_gemma":[0.000059673825,0.000120956465,0.003133772,0.8754371,0.0047931345,0.00093243434,0.06355946,0.00006980823,0.00021461167,0.001003894,0.050621655,0.00005354869],"about_ca_topic_score_codex":0.0074904645,"about_ca_topic_score_gemma":0.023363926,"teacher_disagreement_score":0.018367218,"about_ca_system_score_codex":0.006366535,"about_ca_system_score_gemma":0.019863788,"threshold_uncertainty_score":0.09713626},"labels":[],"label_agreement":null},{"id":"W3129195283","doi":"10.2196/20270","title":"Telemetric Interventions Offer New Opportunities for Managing Type 1 Diabetes Mellitus: Systematic Meta-review","year":2021,"lang":"en","type":"review","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":"Psychological intervention; CINAHL; Medicine; Systematic review; Meta-analysis; MEDLINE; Cochrane Library; Randomized controlled trial; Telemedicine; Disease management; Intensive care medicine; Health care; Nursing; Internal medicine","score_opus":0.4036266885928521,"score_gpt":0.44795015456791504,"score_spread":0.044323465975062926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129195283","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015042886,0.99693525,0.00029535027,0.00017240777,0.00012343856,0.00051964616,0.00026049087,0.000014770512,0.00017435092],"genre_scores_gemma":[0.050053135,0.9450898,0.0016149839,0.00075632334,0.0002516276,0.0016913203,0.00036470487,0.000015130146,0.00016294744],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9872695,0.0060078087,0.003921255,0.00092602236,0.0015193364,0.00035616444],"domain_scores_gemma":[0.9630422,0.028651683,0.0051316833,0.00073790806,0.0021069394,0.00032954087],"candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.017347608,0.0028129793,0.017582417,0.008056777,0.0007430971,0.0038087922,0.002205369,0.002347746,0.00594543],"category_scores_gemma":[0.052159667,0.0012947533,0.02389971,0.008038037,0.00094059063,0.0025108375,0.0017795295,0.0018390012,0.0003461165],"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":[0.0007935927,0.000035645746,0.0012268662,0.8351678,0.14592189,0.000067575136,0.00008974801,0.00019787779,0.0000963483,0.00012402565,0.00044708842,0.015831405],"study_design_scores_gemma":[0.0007747138,0.000363321,0.0030907933,0.20879975,0.78274125,0.00011490318,0.00010464449,0.00014998725,0.00015744349,0.0002775008,0.0033955954,0.000030052597],"about_ca_topic_score_codex":0.005510152,"about_ca_topic_score_gemma":0.011791632,"teacher_disagreement_score":0.9824176,"about_ca_system_score_codex":0.0033184008,"about_ca_system_score_gemma":0.007856398,"threshold_uncertainty_score":0.091744006},"labels":[],"label_agreement":null},{"id":"W3129435476","doi":"10.2196/23687","title":"Application of the National Institute for Health and Care Excellence Evidence Standards Framework for Digital Health Technologies in Assessing Mobile-Delivered Technologies for the Self-Management of Type 2 Diabetes Mellitus: Scoping Review","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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 for Health and Care Research","keywords":"Nice; Excellence; Evidence-based practice; Medicine; Digital health; Health technology; Systematic review; Evidence-based medicine; Health care; Computer science; MEDLINE; Data science; Alternative medicine; Political science","score_opus":0.05104430122699127,"score_gpt":0.45496412315617923,"score_spread":0.40391982192918796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129435476","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039522755,0.78524125,0.041681837,0.026806979,0.004595558,0.115540825,0.008728101,0.00042024255,0.013033036],"genre_scores_gemma":[0.052338503,0.50007665,0.24556121,0.008067126,0.0009338068,0.1836705,0.007929618,0.00017392126,0.0012485591],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.589539,0.12557136,0.20930095,0.009346426,0.06281558,0.0034266848],"domain_scores_gemma":[0.5404178,0.2609956,0.07638442,0.015040005,0.10314092,0.004021219],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3057588,0.0034871409,0.017190665,0.056687266,0.005867841,0.016862035,0.011647591,0.01190946,0.005377863],"category_scores_gemma":[0.48877484,0.0038733277,0.023606863,0.03978372,0.0063636005,0.012951438,0.015612452,0.006907933,0.0013595555],"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":[0.000197193,0.00008504013,0.0024645003,0.87090117,0.0059253466,0.0002961008,0.0023707151,0.00075140357,0.00037245452,0.00810694,0.010106426,0.09842264],"study_design_scores_gemma":[0.00021057541,0.00012138313,0.002016031,0.9565711,0.008014669,0.00024324538,0.00068681285,0.00038992023,0.00026830687,0.0027985654,0.028609734,0.00006982775],"about_ca_topic_score_codex":0.016650645,"about_ca_topic_score_gemma":0.028017107,"teacher_disagreement_score":0.3057588,"about_ca_system_score_codex":0.02582293,"about_ca_system_score_gemma":0.12021072,"threshold_uncertainty_score":0.856123},"labels":[],"label_agreement":null},{"id":"W3129770359","doi":"10.2196/24030","title":"Role of Digital Engagement in Diabetes Care Beyond Measurement: Retrospective Cohort Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"","keywords":"Digital health; Diabetes mellitus; Medicine; Type 2 diabetes; Operationalization; Diabetes management; Cohort; Blood glucose monitoring; Exploratory research; Gerontology; Health care; Internal medicine; Endocrinology","score_opus":0.028868782161440076,"score_gpt":0.3617746806404442,"score_spread":0.33290589847900415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129770359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944951,0.00080647325,0.0007380165,0.00016255405,0.000041033127,0.00012727197,0.0028246797,0.000009842167,0.0007951063],"genre_scores_gemma":[0.9974087,0.00023567818,0.00036391147,0.00015736064,0.000025566853,0.00013942271,0.0014123049,0.0000091279135,0.0002478723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99626476,0.0011093321,0.000535734,0.0010743015,0.00057256484,0.00044331685],"domain_scores_gemma":[0.9918149,0.0015209399,0.003134231,0.00186034,0.001015152,0.0006544251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004406652,0.00036253012,0.0005178356,0.0008641594,0.0011955104,0.0017904021,0.0009289056,0.00085670187,0.0017192649],"category_scores_gemma":[0.011503913,0.00070702046,0.0010708098,0.0023474256,0.00045919756,0.0013061154,0.0013507754,0.0016324562,0.00049892854],"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":[0.00014064548,0.000060530627,0.9982405,0.000024695459,0.00011908002,0.000038216258,0.00019564567,0.000020933394,0.000039041803,0.00004988762,0.0003148755,0.0007559855],"study_design_scores_gemma":[0.000032578428,0.00025957532,0.99680316,0.000059249865,0.00018207755,0.00027519173,0.00083723763,0.00034397817,0.000050116472,0.00009665631,0.0010427956,0.000017365619],"about_ca_topic_score_codex":0.015842834,"about_ca_topic_score_gemma":0.015729534,"teacher_disagreement_score":0.015842834,"about_ca_system_score_codex":0.0007050027,"about_ca_system_score_gemma":0.0009833477,"threshold_uncertainty_score":0.031501234},"labels":[],"label_agreement":null},{"id":"W3130444078","doi":"10.2196/25295","title":"Early Insights From a Digitally Enhanced Diabetes Self-Management Education and Support Program: Single-Arm Nonrandomized Trial","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","field":"Medicine","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":"Quest Diagnostics","keywords":"Medicine; Diabetes mellitus; Physical therapy; Self-management; Distress; Population; Digital health; Type 2 diabetes; Randomized controlled trial; Diabetes management; Internal medicine; Health care","score_opus":0.008961579496601799,"score_gpt":0.2605044422154944,"score_spread":0.2515428627188926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130444078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9573063,0.006818741,0.002557277,0.0018270246,0.0015592654,0.02455705,0.0011097986,0.00024056184,0.0040240204],"genre_scores_gemma":[0.9662538,0.0025023746,0.005054584,0.001739531,0.0008941432,0.02019265,0.00044357954,0.000019620808,0.0028995615],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99741274,0.0015965436,0.00023343574,0.00028853628,0.00020377683,0.0002649938],"domain_scores_gemma":[0.99754864,0.0010246771,0.0005471458,0.00020979073,0.00018437285,0.00048543265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037418813,0.0015699406,0.0026069195,0.00071942294,0.0005824507,0.0015611323,0.0010014075,0.002776492,0.008476414],"category_scores_gemma":[0.0053629954,0.0005637409,0.0021285384,0.00059840066,0.0012169761,0.0015041886,0.0009351198,0.002123448,0.0009233596],"study_design_candidate":"nonrandomized_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":[0.9504134,0.019867396,0.00075131014,0.0012216083,0.0013665291,0.00004711882,0.0000645664,0.00020702074,0.0007539997,0.00018392096,0.00052759965,0.02459559],"study_design_scores_gemma":[0.93177974,0.06592387,0.0009045865,0.000101412414,0.00042800079,0.000012498475,0.000022612745,0.00018290148,0.00015521332,0.0001628669,0.00031875048,0.000007661697],"about_ca_topic_score_codex":0.0007134546,"about_ca_topic_score_gemma":0.0012310916,"teacher_disagreement_score":0.008476414,"about_ca_system_score_codex":0.0007514836,"about_ca_system_score_gemma":0.0013306646,"threshold_uncertainty_score":0.028356433},"labels":[],"label_agreement":null},{"id":"W3132985599","doi":"10.2196/26965","title":"Stigma as a Barrier to Participant Recruitment of Minority Populations in Diabetes Research: Development of a Community-Centered Recruitment Approach","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management 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":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Outreach; Psychological intervention; Stigma (botany); Health equity; Medicine; Gerontology; Qualitative research; Socioeconomic status; Type 2 diabetes; Psychology; Family medicine; Nursing; Population; Diabetes mellitus; Public health; Political science; Environmental health; Psychiatry","score_opus":0.5875399288501858,"score_gpt":0.4716368756435129,"score_spread":0.11590305320667288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132985599","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20734565,0.002908466,0.34989378,0.076875515,0.0024688703,0.3312286,0.00045148417,0.0008216357,0.028006084],"genre_scores_gemma":[0.22294748,0.001374212,0.5027685,0.014797117,0.0004483274,0.25499898,0.00020490983,0.00013166107,0.0023287763],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.70175666,0.26265445,0.010475161,0.004614824,0.015438887,0.005060126],"domain_scores_gemma":[0.78281724,0.12906832,0.012048985,0.016625121,0.042633932,0.01680637],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.34953636,0.0011333433,0.0014276658,0.0030136139,0.011950306,0.0062858975,0.0065278066,0.0043602698,0.00774181],"category_scores_gemma":[0.27374867,0.0019322324,0.002061516,0.0016036243,0.003911179,0.0070706382,0.019564705,0.006551032,0.0023567316],"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":[0.0012569904,0.0060702865,0.059771266,0.007121495,0.00030617823,0.0016327279,0.33530793,0.0013497485,0.0056966585,0.012870842,0.025207613,0.5434082],"study_design_scores_gemma":[0.008650358,0.017513217,0.09441518,0.04765544,0.0017560916,0.0030197292,0.3690589,0.039397255,0.015050759,0.08580053,0.31640273,0.0012798489],"about_ca_topic_score_codex":0.0045253094,"about_ca_topic_score_gemma":0.014964008,"teacher_disagreement_score":0.65046364,"about_ca_system_score_codex":0.0048699863,"about_ca_system_score_gemma":0.063909955,"threshold_uncertainty_score":0.8021375},"labels":[],"label_agreement":null},{"id":"W3133895258","doi":"10.2196/26621","title":"Diabetes Engagement and Activation Platform for Implementation and Effectiveness of Automated Virtual Type 2 Diabetes Self-Management Education: Randomized Controlled Trial","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management 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":"National Center for Advancing Translational Sciences","keywords":"Randomized controlled trial; Medicine; Type 2 diabetes; Diabetes mellitus; Intervention (counseling); Confidence interval; Patient education; Blood pressure; Virtual patient; Physical therapy; Family medicine; Internal medicine; Nursing","score_opus":0.010929442767344377,"score_gpt":0.3115427580910291,"score_spread":0.30061331532368474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133895258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9563811,0.007824476,0.0014835187,0.0012493542,0.0024892597,0.024854627,0.0017176131,0.0002656348,0.0037344275],"genre_scores_gemma":[0.9539883,0.0025578043,0.0037521154,0.0012200421,0.0013826945,0.033869058,0.00075470883,0.000028434348,0.002446858],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99353844,0.0039171674,0.0005910722,0.00085554266,0.00045922498,0.00063858426],"domain_scores_gemma":[0.9950671,0.0022460169,0.0011717443,0.0003771699,0.00032457325,0.00081341766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056279907,0.0022812302,0.0047511556,0.0008608351,0.00092090917,0.0022499603,0.0015820467,0.004053237,0.011118148],"category_scores_gemma":[0.009466405,0.0010440686,0.004629887,0.0008541039,0.001926157,0.0020925663,0.0011810022,0.003779754,0.0009870238],"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":[0.9814445,0.008904846,0.00059685664,0.0008882081,0.0017699143,0.000015227553,0.000037050286,0.00009564426,0.00016076991,0.00007321134,0.00028316843,0.005730668],"study_design_scores_gemma":[0.96209466,0.035010602,0.0010538956,0.00009053137,0.0011402557,0.0000074030368,0.000020985586,0.0001938161,0.00009162457,0.00009603106,0.00019073793,0.000009529559],"about_ca_topic_score_codex":0.001972105,"about_ca_topic_score_gemma":0.0019035673,"teacher_disagreement_score":0.011118148,"about_ca_system_score_codex":0.0014791765,"about_ca_system_score_gemma":0.002134884,"threshold_uncertainty_score":0.037193894},"labels":[],"label_agreement":null},{"id":"W3152672001","doi":"10.2196/28033","title":"Improved Glycemic Control With a Digital Health Intervention in Adults With Type 2 Diabetes: Retrospective Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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":"","keywords":"Glycemic; Medicine; Diabetes management; Type 2 diabetes; Psychological intervention; Diabetes mellitus; Repeated measures design; Physical therapy; Retrospective cohort study; Research design; Digital health; Internal medicine; Health care; Nursing","score_opus":0.005468736432322806,"score_gpt":0.25729516756413373,"score_spread":0.2518264311318109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152672001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99870324,0.00041042644,0.00012848181,0.000014619147,0.0000065627437,0.000116987816,0.00025594386,0.0000027281612,0.0003609258],"genre_scores_gemma":[0.9987061,0.00033967415,0.00027330313,0.00006589979,0.000019931284,0.0001124192,0.00036046884,0.000002065908,0.00012029827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884725,0.00040339387,0.00020047699,0.00021547172,0.00023403313,0.00009942756],"domain_scores_gemma":[0.99765587,0.0005031376,0.0010237724,0.00023294394,0.0003479697,0.00023631754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015538239,0.00029397593,0.00042393792,0.0009402945,0.0004966446,0.00068988896,0.00030291767,0.0004979368,0.0011254627],"category_scores_gemma":[0.0039453357,0.00033856588,0.00071438536,0.0013295524,0.00033151652,0.0004596828,0.000561597,0.0004447681,0.00022424206],"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":[0.0005613158,0.00052830676,0.9944676,0.00006770635,0.00012942894,0.00009637605,0.00020505708,0.000022532211,0.000096684176,0.0000101702135,0.00007188322,0.0037429708],"study_design_scores_gemma":[0.00017869526,0.003711786,0.9934582,0.000048386948,0.00022660401,0.0006245932,0.0007014899,0.00016508621,0.00014459266,0.000015371059,0.0007131925,0.000012035439],"about_ca_topic_score_codex":0.0035896676,"about_ca_topic_score_gemma":0.003547685,"teacher_disagreement_score":0.0035896676,"about_ca_system_score_codex":0.00036753016,"about_ca_system_score_gemma":0.0005369513,"threshold_uncertainty_score":0.008217454},"labels":[],"label_agreement":null},{"id":"W3157115367","doi":"10.2196/24687","title":"Improving Management of Type 2 Diabetes Using Home-Based Telemonitoring: Cohort Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Medicine; Glycemic; Diabetes management; Type 2 diabetes; Diabetes mellitus; Population; Cohort; Medical record; Electronic medical record; Emergency medicine; Internal medicine","score_opus":0.0427922569732337,"score_gpt":0.40890638925872835,"score_spread":0.36611413228549466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157115367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99931586,0.00008898342,0.000059017177,0.000017088141,0.0000081454145,0.0000477973,0.00029612586,0.0000024167703,0.0001646024],"genre_scores_gemma":[0.9989428,0.000121616,0.00012114325,0.00003950252,0.000016259444,0.00005550962,0.00047387657,0.0000027654514,0.00022643874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912375,0.00029162894,0.00007230745,0.00022410158,0.00013581666,0.00015247024],"domain_scores_gemma":[0.99858165,0.0002127418,0.00041397038,0.0002607661,0.00018514624,0.00034569326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015498638,0.00050472235,0.0005678797,0.0005899739,0.0008329485,0.0008907121,0.0006083948,0.0007421082,0.0016111733],"category_scores_gemma":[0.0023055484,0.0005571425,0.0011725561,0.0011071728,0.0002831681,0.00080388976,0.0006267059,0.0010513393,0.00033213024],"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":[0.0012903404,0.0009800994,0.99513865,0.000017502396,0.00040407752,0.000084788306,0.00019509783,0.000039725688,0.00015189339,0.000012825363,0.00016901613,0.0015157837],"study_design_scores_gemma":[0.00028145534,0.0012356288,0.99717015,0.000011969936,0.00020966392,0.00013079033,0.00038184275,0.00027521877,0.00004895758,0.0000156735,0.00022798339,0.000010784831],"about_ca_topic_score_codex":0.014993156,"about_ca_topic_score_gemma":0.013287179,"teacher_disagreement_score":0.014993156,"about_ca_system_score_codex":0.0004891383,"about_ca_system_score_gemma":0.0006151766,"threshold_uncertainty_score":0.0298118},"labels":[],"label_agreement":null},{"id":"W3158928172","doi":"10.2196/26909","title":"Improved Low-Glucose Predictive Alerts Based on Sustained Hypoglycemia: Model Development and Validation Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":"U.S. Food and Drug Administration","keywords":"Generalizability theory; Hypoglycemia; Medicine; Continuous glucose monitoring; False positive rate; Robustness (evolution); Predictive modelling; Diabetes mellitus; Machine learning; Computer science; Statistics; Artificial intelligence; Type 1 diabetes; Mathematics; Endocrinology","score_opus":0.015444178351678828,"score_gpt":0.2789708714245294,"score_spread":0.2635266930728506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158928172","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90027106,0.00078798487,0.094811924,0.00043707207,0.000051147876,0.00034105039,0.0009535599,0.000643897,0.0017021917],"genre_scores_gemma":[0.979838,0.00020518342,0.017931858,0.00006208753,0.000014529751,0.00024946578,0.0010348908,0.000020972064,0.0006431472],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999191,0.00040785703,0.000057446265,0.00014459684,0.000098707154,0.00010040911],"domain_scores_gemma":[0.99289703,0.005299494,0.00036660174,0.00025483692,0.0010679035,0.000114209055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045464635,0.001402686,0.0012667134,0.0007156487,0.00035634195,0.00086861185,0.0013696228,0.00096471806,0.0013313891],"category_scores_gemma":[0.008198705,0.00040551732,0.0013944821,0.0005484055,0.00033552235,0.0006149142,0.0007666006,0.0017027785,0.00026572184],"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":[0.00026878266,0.00027867957,0.011004415,0.00007620666,0.00016925258,0.00007277185,0.000029742749,0.97611415,0.00033709768,0.00018932174,0.00034422314,0.011115411],"study_design_scores_gemma":[0.000021638583,0.000070026756,0.0008101629,0.000004544574,0.000022418531,0.0000071683658,0.0000045705,0.99874204,0.00018616865,0.00008540354,0.000041535324,0.000004291708],"about_ca_topic_score_codex":0.038309895,"about_ca_topic_score_gemma":0.015888778,"teacher_disagreement_score":0.038309895,"about_ca_system_score_codex":0.0013766832,"about_ca_system_score_gemma":0.0023914226,"threshold_uncertainty_score":0.07617384},"labels":[],"label_agreement":null},{"id":"W3160448379","doi":"10.2196/27453","title":"Change in Glycemic Control for Patients Enrolled in a Membership-Based Primary Care Program: Longitudinal Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management 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":"Medicine; Diabetes mellitus; Glycated hemoglobin; Glycemic; Observational study; Primary care; Internal medicine; Intensive care medicine; Type 2 diabetes; Endocrinology; Family medicine","score_opus":0.07732961171510555,"score_gpt":0.34664082271628666,"score_spread":0.2693112110011811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160448379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991153,0.00009487448,0.000066086046,0.000055509572,0.000006991333,0.00002682394,0.0004159618,0.000003690982,0.00021477939],"genre_scores_gemma":[0.99895203,0.000056409084,0.00007994114,0.00007499577,0.000016719127,0.000030107258,0.00069872255,0.0000015721099,0.000089561174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977335,0.0008334303,0.00022225389,0.00044057332,0.00042014715,0.0003501036],"domain_scores_gemma":[0.993873,0.0011247022,0.00260403,0.00058520085,0.000575303,0.0012377619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027057002,0.0003416826,0.00062985736,0.0008575496,0.0010472783,0.0013539103,0.0007047111,0.0009988971,0.0012243073],"category_scores_gemma":[0.0063538966,0.00056517683,0.0010168982,0.0016116443,0.00045515795,0.0011596362,0.0008604787,0.002067017,0.00026857064],"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":[0.00026130863,0.00032403858,0.9987392,0.000006558738,0.0001009279,0.000025694811,0.000069207286,0.000014224994,0.00003711015,0.000007478622,0.0000796132,0.00033472475],"study_design_scores_gemma":[0.00007541254,0.0007195558,0.99831593,0.000009354721,0.00008097455,0.00010722843,0.0002536941,0.00025843421,0.000033984546,0.00001689367,0.000120448116,0.0000079996325],"about_ca_topic_score_codex":0.013964217,"about_ca_topic_score_gemma":0.014433133,"teacher_disagreement_score":0.013964217,"about_ca_system_score_codex":0.00093620876,"about_ca_system_score_gemma":0.0011923579,"threshold_uncertainty_score":0.02776587},"labels":[],"label_agreement":null},{"id":"W3160701980","doi":"10.2196/28309","title":"Evaluation of Web-Based and In-Person Methods to Recruit Adults With Type 1 Diabetes for a Mobile Exercise Intervention: Prospective Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Nursing Research; National Institutes of Health; Robert E. Leet and Clara Guthrie Patterson Trust; U.S. Department of Veterans Affairs","keywords":"Snowball sampling; Intervention (counseling); Medicine; Observational study; Family medicine; Social media; Gerontology; Nursing; World Wide Web; Computer science","score_opus":0.16839178112020195,"score_gpt":0.5144531901890323,"score_spread":0.34606140906883043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160701980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.971159,0.0004298362,0.0019823536,0.00016518943,0.000079867365,0.022765456,0.0015791819,0.00006266345,0.0017763873],"genre_scores_gemma":[0.92922497,0.0007742816,0.010265472,0.00082724914,0.0002265111,0.055040866,0.002067133,0.00004923267,0.0015242526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9722153,0.018464098,0.0030888284,0.0018689428,0.0030713102,0.0012915755],"domain_scores_gemma":[0.94990313,0.020871824,0.010212181,0.0041574403,0.011133189,0.003722265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.038938116,0.0014427053,0.0014956581,0.0018342921,0.0024932364,0.002433797,0.0015162186,0.002065714,0.0038732782],"category_scores_gemma":[0.055519518,0.0011484836,0.002028167,0.0014249465,0.000971217,0.0028313799,0.0016351575,0.0017810194,0.0015192515],"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":[0.052291624,0.21817699,0.5903865,0.0030189971,0.002219001,0.00037350185,0.0114652105,0.00097161025,0.0014461131,0.00022966157,0.0034296592,0.11599119],"study_design_scores_gemma":[0.030967882,0.364887,0.5753778,0.0011641033,0.001885813,0.00034153133,0.010501186,0.0060731615,0.0016135251,0.00032539954,0.0065679345,0.00029457582],"about_ca_topic_score_codex":0.009126819,"about_ca_topic_score_gemma":0.010442282,"teacher_disagreement_score":0.038938116,"about_ca_system_score_codex":0.0017793061,"about_ca_system_score_gemma":0.004370533,"threshold_uncertainty_score":0.2059269},"labels":[],"label_agreement":null},{"id":"W3162815046","doi":"10.2196/24981","title":"The Influence of Baseline Hemoglobin A1c on Digital Health Coaching Outcomes in Adults With Type 2 Diabetes: Real-World Retrospective Cohort Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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","keywords":"Health coaching; Psychosocial; Medicine; Mental health; Coaching; Population; Type 2 diabetes; Digital health; Physical therapy; Gerontology; Family medicine; Health care; Diabetes mellitus; Psychology; Psychiatry; Intervention (counseling); Environmental health","score_opus":0.007776091457754903,"score_gpt":0.28499322220426765,"score_spread":0.2772171307465127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162815046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984016,0.00019559816,0.00017365448,0.000028002287,0.000011171987,0.00007540426,0.00084583863,0.0000037719215,0.0002649521],"genre_scores_gemma":[0.99871206,0.00012089959,0.00023889315,0.0000499651,0.000013047956,0.000081322556,0.0006731319,0.0000028357927,0.000107838925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982652,0.00046110203,0.00024233504,0.0005478961,0.00028677777,0.00019675487],"domain_scores_gemma":[0.9964766,0.00055567594,0.0014276813,0.00064319564,0.0004734802,0.0004233256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024717047,0.00036765492,0.0004973405,0.00074526516,0.0007631596,0.0011466454,0.00072839396,0.00063358387,0.0011990698],"category_scores_gemma":[0.0048711696,0.0005238551,0.00082681363,0.001278962,0.0003497199,0.0007396699,0.000772966,0.00095340953,0.0003128854],"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":[0.0001725736,0.00010130507,0.9988462,0.000012399067,0.00007793722,0.000032565385,0.000087630106,0.000014792362,0.00005224525,0.0000074204113,0.00008800077,0.00050689117],"study_design_scores_gemma":[0.000028051285,0.0002803851,0.9987179,0.000012550576,0.00008332194,0.00015395797,0.00032502395,0.0001571307,0.00003607456,0.000010332815,0.0001892116,0.000006172283],"about_ca_topic_score_codex":0.01383364,"about_ca_topic_score_gemma":0.013090238,"teacher_disagreement_score":0.01383364,"about_ca_system_score_codex":0.00050623505,"about_ca_system_score_gemma":0.0006051617,"threshold_uncertainty_score":0.027506232},"labels":[],"label_agreement":null},{"id":"W3164815082","doi":"10.2196/27027","title":"Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"National Institute of Neurological Disorders and Stroke; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institute on Drug Abuse; Washington University in St. Louis","keywords":"Actigraphy; Psychological intervention; Digital health; Type 1 diabetes; Task (project management); Medicine; Psychology; Health care; Applied psychology; Diabetes mellitus; Nursing; Psychiatry; Engineering","score_opus":0.14559542471414663,"score_gpt":0.422549213820258,"score_spread":0.27695378910611135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164815082","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03109012,0.23089981,0.63671565,0.054277536,0.00587924,0.0037443805,0.0013162019,0.0004149415,0.035662144],"genre_scores_gemma":[0.22749168,0.091280855,0.6433754,0.015074264,0.004900924,0.014532262,0.00057429937,0.00015599771,0.0026143757],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9428892,0.048465047,0.002411472,0.0019110646,0.0039294725,0.0003938567],"domain_scores_gemma":[0.9270706,0.058337655,0.0036211344,0.0034678485,0.0068526873,0.0006499693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.063343056,0.0013633885,0.0013091966,0.0051662065,0.0010411022,0.00572547,0.0037964822,0.0021512131,0.0010363152],"category_scores_gemma":[0.08270335,0.000564463,0.0013610674,0.0045242296,0.0052102823,0.003774673,0.0050353226,0.0036693837,0.00037140545],"study_design_candidate":"theoretical_or_conceptual","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":[0.0001705273,0.000437723,0.064058505,0.007969392,0.00060142216,0.00028934068,0.018559631,0.0018841813,0.0009563722,0.21696384,0.011512203,0.6765969],"study_design_scores_gemma":[0.00028129722,0.0028441458,0.10634651,0.052223325,0.0014712315,0.003764408,0.03858547,0.026584702,0.0039900355,0.40121785,0.362045,0.0006459789],"about_ca_topic_score_codex":0.0039807325,"about_ca_topic_score_gemma":0.0033885061,"teacher_disagreement_score":0.063343056,"about_ca_system_score_codex":0.002655079,"about_ca_system_score_gemma":0.005625614,"threshold_uncertainty_score":0.33499414},"labels":[],"label_agreement":null},{"id":"W3166700098","doi":"10.2196/25820","title":"A Personalized Mobile Health Program for Type 2 Diabetes During the COVID-19 Pandemic: Single-Group Pre–Post Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"National Medical Research Council; Medical Research Council; Singapore Population Health Improvement Centre; National University Health System","keywords":"mHealth; Medicine; Prediabetes; Diabetes management; Glycated hemoglobin; Type 2 diabetes; Glycemic; Psychological intervention; Context (archaeology); Telemedicine; Coaching; Health care; Disease management; Telehealth; Diabetes mellitus; Nursing; Disease; Psychology; Internal medicine","score_opus":0.10491333382177259,"score_gpt":0.4810429436080859,"score_spread":0.3761296097863133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166700098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921537,0.00006363993,0.00012394186,0.00017852447,0.00006898469,0.0056745126,0.00064598816,0.000026938256,0.0010637105],"genre_scores_gemma":[0.9781651,0.00019214342,0.0010912968,0.00097559125,0.0001871953,0.01629026,0.0010268996,0.000016944885,0.002054578],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9976567,0.0007772762,0.00022276962,0.0003645359,0.00027529607,0.00070339086],"domain_scores_gemma":[0.9962521,0.0005877918,0.00047534026,0.00036456154,0.00048974005,0.0018304429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003417214,0.0012281202,0.0017016561,0.0010553513,0.002694432,0.0013134431,0.0009986426,0.0020518436,0.005981705],"category_scores_gemma":[0.004267608,0.0010312216,0.0019412283,0.00078905013,0.0008860636,0.0022263518,0.001737361,0.0027880592,0.0014665856],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_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":[0.09179603,0.52224255,0.25266233,0.0010674954,0.00072380895,0.0006734081,0.007388295,0.00043275213,0.0020251605,0.0002458337,0.004268883,0.11647342],"study_design_scores_gemma":[0.040763292,0.34311837,0.6051131,0.00019663053,0.0005515996,0.00010762735,0.00587238,0.0009183268,0.00067512476,0.00016976042,0.0023735252,0.0001402747],"about_ca_topic_score_codex":0.012486312,"about_ca_topic_score_gemma":0.011489472,"teacher_disagreement_score":0.012486312,"about_ca_system_score_codex":0.0016110996,"about_ca_system_score_gemma":0.0039852066,"threshold_uncertainty_score":0.024827242},"labels":[],"label_agreement":null},{"id":"W3166858036","doi":"10.2196/28964","title":"An innovative mobile application for gestational diabetes health education during the COVID-19 pandemic (Preprint)","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Gestational Diabetes Research and Management","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":"Chinese Academy of Medical Sciences","keywords":"Gestational diabetes; Pandemic; Preprint; The Internet; Medicine; Pregnancy; Promotion (chess); Coronavirus disease 2019 (COVID-19); Telemedicine; Mobile apps; Medical education; Obstetrics; Health care; Computer science; Political science; Internal medicine; Gestation; World Wide Web","score_opus":0.02721822341112202,"score_gpt":0.3923686001678218,"score_spread":0.3651503767566998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166858036","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25457677,0.017876238,0.30901992,0.019575873,0.009824383,0.009009613,0.016972082,0.20320155,0.15994361],"genre_scores_gemma":[0.4815902,0.009221384,0.33119282,0.016435808,0.0028104784,0.005719163,0.009853577,0.0034517606,0.13972473],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996824,0.00011445029,0.000030978485,0.00004407918,0.000074060445,0.00005405558],"domain_scores_gemma":[0.9989039,0.0006842957,0.00005522397,0.00004387422,0.00013597791,0.00017675445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057313323,0.0008420576,0.00031968812,0.00066017086,0.0004247791,0.00080013386,0.00058966974,0.0014425019,0.02402858],"category_scores_gemma":[0.0025982205,0.00016355919,0.0005770667,0.00022576156,0.00014331042,0.0008121777,0.0013650216,0.00069487275,0.0073819333],"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":[0.0010989057,0.001060318,0.0067365207,0.0016774139,0.00006914817,0.0021133216,0.0014388604,0.00038892514,0.013491177,0.0013301866,0.20347653,0.7671187],"study_design_scores_gemma":[0.0014397452,0.0040603275,0.049632855,0.0027519348,0.00063172926,0.010638332,0.00239791,0.013560407,0.016295085,0.005694715,0.8924352,0.00046175031],"about_ca_topic_score_codex":0.00046989607,"about_ca_topic_score_gemma":0.0008476389,"teacher_disagreement_score":0.02402858,"about_ca_system_score_codex":0.0001482419,"about_ca_system_score_gemma":0.0003953439,"threshold_uncertainty_score":0.0803836},"labels":[],"label_agreement":null},{"id":"W3168031824","doi":"10.2196/17431","title":"Health Internet Technology for Chronic Conditions: Review of Diabetes Management Apps","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"mHealth; Disease management; Diabetes mellitus; Self-management; App store; Medicine; Disease; Popularity; The Internet; Internet privacy; Diabetes management; Health management system; Type 2 diabetes; Computer science; World Wide Web; Psychology; Alternative medicine; Psychological intervention; Nursing","score_opus":0.027631959467475473,"score_gpt":0.43275983252792644,"score_spread":0.40512787306045095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168031824","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003338593,0.9976762,0.00009270867,0.0004978818,0.00017424968,0.000036333295,0.000109398905,0.000010983895,0.0010684404],"genre_scores_gemma":[0.0013628738,0.99753606,0.0002997436,0.00030010002,0.00016573902,0.000039837192,0.000106087944,0.000003282243,0.00018632495],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9986823,0.00028102324,0.00038788567,0.00012749947,0.00045066298,0.00007070427],"domain_scores_gemma":[0.9892938,0.007950536,0.001205204,0.0001001062,0.0012290238,0.00022147094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020613796,0.00075471593,0.0015901724,0.011050316,0.0004990315,0.0017032081,0.0010053469,0.0011319186,0.005278321],"category_scores_gemma":[0.0072655496,0.00040699713,0.0018123757,0.0098580355,0.0004476323,0.0020992665,0.0010996416,0.0013238329,0.0009628802],"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":[0.000094355615,0.0000666372,0.0009507204,0.13280194,0.0002684015,0.00011248327,0.00023736796,0.000105709165,0.00027766745,0.00068858505,0.020106284,0.8442899],"study_design_scores_gemma":[0.00009517241,0.00036417507,0.015996328,0.35333598,0.0030186728,0.0020643005,0.0005747195,0.0003517484,0.0004289452,0.001165407,0.62252957,0.00007498533],"about_ca_topic_score_codex":0.003526584,"about_ca_topic_score_gemma":0.0070087886,"teacher_disagreement_score":0.011050316,"about_ca_system_score_codex":0.0009191648,"about_ca_system_score_gemma":0.0032009447,"threshold_uncertainty_score":0.017657757},"labels":[],"label_agreement":null},{"id":"W3171572237","doi":"10.2196/30756","title":"Mapping Individual Differences on the Internet: Case Study of the Type 1 Diabetes Community","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Health Literacy and Information Accessibility","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":"","keywords":"Type 1 diabetes; Key (lock); MEDLINE; Code (set theory); Confidentiality","score_opus":0.1441015233162972,"score_gpt":0.4266033501592589,"score_spread":0.28250182684296166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171572237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959772,0.00009408998,0.0006681787,0.0008837772,0.000014298004,0.000112725495,0.00014462773,0.000010301531,0.002094897],"genre_scores_gemma":[0.99492633,0.0003544882,0.0028829228,0.0003235295,0.000036989244,0.00014125885,0.00021938374,0.000019671874,0.0010954238],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99809176,0.0011295668,0.00006945769,0.00020713368,0.00020534385,0.0002966312],"domain_scores_gemma":[0.99282336,0.0040563797,0.0008731467,0.0004338678,0.00075766747,0.0010555197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024646115,0.00035937072,0.00035407464,0.0027386774,0.0061113737,0.0017898601,0.0012262907,0.0018445723,0.0030927542],"category_scores_gemma":[0.009850857,0.00031865994,0.0004315402,0.00356159,0.0014645967,0.0027595428,0.0036278493,0.001840157,0.00036365402],"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":[0.00032120539,0.0025417581,0.41051167,0.00043936912,0.00008880287,0.034409646,0.4671932,0.0006325844,0.001347175,0.0029050123,0.006320574,0.073289014],"study_design_scores_gemma":[0.000058308957,0.00046076215,0.14582773,0.00019879505,0.000069061585,0.0068150256,0.82518,0.005593858,0.0006856163,0.0021402873,0.012892022,0.00007854346],"about_ca_topic_score_codex":0.035919502,"about_ca_topic_score_gemma":0.064099796,"teacher_disagreement_score":0.035919502,"about_ca_system_score_codex":0.002014834,"about_ca_system_score_gemma":0.0012609066,"threshold_uncertainty_score":0.07142085},"labels":[],"label_agreement":null},{"id":"W3177124455","doi":"10.2196/28930","title":"Abbreviated Dietary Self-monitoring for Type 2 Diabetes Management: Mixed Methods Feasibility Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Nutritional Studies and Diet","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 Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; Small Business Innovation Research","keywords":"Glycemic; Type 2 diabetes; Medicine; Diabetes mellitus; Dietary management; Diabetes management; Preference; Glycemic index; Gerontology; Internal medicine; Endocrinology","score_opus":0.07481840454180323,"score_gpt":0.4113243389118714,"score_spread":0.3365059343700682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177124455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9625915,0.0010643601,0.0063975845,0.00028906853,0.00009871379,0.027612787,0.000691327,0.000051712683,0.0012028681],"genre_scores_gemma":[0.86394215,0.00085431535,0.040434506,0.001007592,0.000111464054,0.09229352,0.0006160102,0.00001536806,0.0007250944],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9612254,0.03132399,0.002711599,0.0013448119,0.0025712522,0.00082308403],"domain_scores_gemma":[0.9745882,0.014135738,0.005218858,0.0027270897,0.0023347035,0.0009953859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04332502,0.0011358156,0.0018298886,0.0014903296,0.0017228501,0.001755231,0.0017180869,0.0014305953,0.0031323617],"category_scores_gemma":[0.030286383,0.0011725192,0.002547892,0.0017835135,0.0010298732,0.0019194018,0.002062033,0.0009503994,0.00044662607],"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":[0.07256691,0.10486086,0.4822603,0.010319752,0.0076075154,0.001066552,0.021031933,0.001988049,0.0043292753,0.0029040123,0.0040539643,0.28701088],"study_design_scores_gemma":[0.052008163,0.2642326,0.63005406,0.002376501,0.0041994303,0.0010910287,0.016668236,0.014060118,0.002372116,0.0028008004,0.009649124,0.00048776538],"about_ca_topic_score_codex":0.003435391,"about_ca_topic_score_gemma":0.005527343,"teacher_disagreement_score":0.04332502,"about_ca_system_score_codex":0.0016252727,"about_ca_system_score_gemma":0.0036180736,"threshold_uncertainty_score":0.22912735},"labels":[],"label_agreement":null},{"id":"W3177236636","doi":"10.2196/25751","title":"Evaluation of the Low Carb Program Digital Intervention for the Self-Management of Type 2 Diabetes and Prediabetes in an NHS England General Practice: Single-Arm Prospective Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"Prediabetes; Medicine; Type 2 diabetes; Glycemic; Attendance; Intervention (counseling); Gerontology; Family medicine; Physical therapy; Nursing; Diabetes mellitus","score_opus":0.04235380907929813,"score_gpt":0.43674648814949485,"score_spread":0.3943926790701967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177236636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920569,0.00043962695,0.00017544047,0.00012873109,0.000025586038,0.0060808784,0.00036296164,0.000012181338,0.0007177736],"genre_scores_gemma":[0.988536,0.0005128796,0.0022071442,0.0005232707,0.00008038226,0.0070762234,0.00043758797,0.000004978277,0.0006214452],"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99535936,0.0025940745,0.0004277012,0.0004949162,0.00069320505,0.00043067275],"domain_scores_gemma":[0.9942263,0.0015045905,0.0015200389,0.0004156675,0.0010616726,0.0012717225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053789066,0.0007512874,0.0014975122,0.000695597,0.000939656,0.0011783027,0.0007097188,0.0013242636,0.002690304],"category_scores_gemma":[0.006616158,0.00080300355,0.0013173235,0.00084818783,0.0009505325,0.0008595781,0.0011115157,0.0010055879,0.00039980665],"study_design_candidate":"nonrandomized_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":[0.2422301,0.15313886,0.47231096,0.003228387,0.0023467592,0.0006331116,0.006152105,0.00062521995,0.0028620644,0.00021875474,0.00253055,0.113723174],"study_design_scores_gemma":[0.09727959,0.3145798,0.58067465,0.00041664834,0.0010895474,0.00014752301,0.002289408,0.00085909717,0.00028709337,0.0000741406,0.0022234889,0.00007900012],"about_ca_topic_score_codex":0.01687506,"about_ca_topic_score_gemma":0.031613212,"teacher_disagreement_score":0.01687506,"about_ca_system_score_codex":0.0023422295,"about_ca_system_score_gemma":0.0034416704,"threshold_uncertainty_score":0.03355366},"labels":[],"label_agreement":null},{"id":"W3189266810","doi":"10.2196/26941","title":"Challenges and Lessons Learned From a Telehealth Community Paramedicine Program for the Prevention of Hypoglycemia: Pre-Post Pilot Feasibility Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management 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":"National Institute of Diabetes and Digestive and Kidney Diseases; National Center for Chronic Disease Prevention and Health Promotion; University of Alabama; Centers for Disease Control and Prevention; University of Alabama at Birmingham","keywords":"Telehealth; Medicine; Hypoglycemia; Intervention (counseling); Telemedicine; Medical emergency; Nursing; Health care; Diabetes mellitus","score_opus":0.1900947484346294,"score_gpt":0.42191916587570283,"score_spread":0.23182441744107343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189266810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850616,0.000081616345,0.001348085,0.0013615839,0.00007956877,0.009962007,0.00014489797,0.00007815467,0.0018824725],"genre_scores_gemma":[0.97819394,0.0002565128,0.008784915,0.00096649554,0.00007941942,0.00994263,0.00020495737,0.000024674702,0.0015463338],"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9868133,0.0074349814,0.000860166,0.0005903507,0.0016311138,0.0026700678],"domain_scores_gemma":[0.9826508,0.007780278,0.0009248124,0.0009748469,0.0043602157,0.0033089474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024619065,0.0011513694,0.001035471,0.0007499069,0.0023831087,0.0016466626,0.0019204781,0.0020434647,0.0023387047],"category_scores_gemma":[0.025375508,0.00073665177,0.0009977435,0.0005113873,0.0013118465,0.002442227,0.0019099204,0.002375514,0.00051691633],"study_design_candidate":"nonrandomized_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":[0.0077890353,0.3587385,0.07280258,0.0036930954,0.00026218354,0.0043442114,0.061143257,0.0023290738,0.016299909,0.00064924906,0.0059055137,0.46604347],"study_design_scores_gemma":[0.0092968885,0.5889344,0.258081,0.0010887138,0.0004168997,0.0013046362,0.09582944,0.0038903547,0.023630658,0.00081519195,0.016362632,0.00034924582],"about_ca_topic_score_codex":0.0050919517,"about_ca_topic_score_gemma":0.008917033,"teacher_disagreement_score":0.024619065,"about_ca_system_score_codex":0.0021474059,"about_ca_system_score_gemma":0.009029785,"threshold_uncertainty_score":0.13019955},"labels":[],"label_agreement":null},{"id":"W3195142902","doi":"10.2196/24284","title":"Effects of Telemetric Interventions on Maternal and Fetal or Neonatal Outcomes in Gestational Diabetes: Systematic Meta-Review","year":2021,"lang":"en","type":"review","venue":"JMIR Diabetes","topic":"Gestational Diabetes Research and Management","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":"Deutsche Forschungsgemeinschaft; Strong","keywords":"Medicine; Gestational diabetes; Systematic review; Randomized controlled trial; CINAHL; Context (archaeology); Pregnancy; Cochrane Library; Glycemic; Psychological intervention; MEDLINE; Childbirth; Intensive care medicine; Meta-analysis; Obstetrics; Diabetes mellitus; Pediatrics; Gestation; Internal medicine; Nursing; Endocrinology","score_opus":0.07547014168711325,"score_gpt":0.406705077903099,"score_spread":0.33123493621598576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195142902","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029147712,0.99587786,0.00017962881,0.00012349359,0.000082672326,0.00026027195,0.00037467343,0.000014231718,0.00017239153],"genre_scores_gemma":[0.09515954,0.9011566,0.0011899122,0.00060650083,0.00016276336,0.0010531181,0.0004927275,0.000013229433,0.0001656251],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99302447,0.0031235246,0.002245375,0.00063032366,0.0007456864,0.00023058314],"domain_scores_gemma":[0.9767765,0.018106276,0.0033166683,0.0004581616,0.0011256696,0.00021677611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008751086,0.0022038699,0.016591614,0.005627834,0.00057481934,0.002578166,0.0020422107,0.0019826621,0.0043167453],"category_scores_gemma":[0.03326839,0.001053207,0.025130317,0.006591561,0.0007192009,0.0015583424,0.0014036048,0.001593828,0.00023443068],"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":[0.0016933728,0.00004816344,0.0024013517,0.73013246,0.24596842,0.0000810898,0.00008584866,0.00032081522,0.000105898,0.000120317185,0.00052894343,0.018513339],"study_design_scores_gemma":[0.0009625971,0.00038819644,0.0047579035,0.11200776,0.8787635,0.00011190696,0.000075434764,0.00017177904,0.0001391239,0.00018366406,0.0024103066,0.000027809183],"about_ca_topic_score_codex":0.008767146,"about_ca_topic_score_gemma":0.014896255,"teacher_disagreement_score":0.016591614,"about_ca_system_score_codex":0.0029366142,"about_ca_system_score_gemma":0.0047979164,"threshold_uncertainty_score":0.046280682},"labels":[],"label_agreement":null},{"id":"W3197771389","doi":"10.2196/23646","title":"Telemedicine via Continuous Remote Care: A Proactive, Patient-Centered Approach to Improve Clinical Outcomes","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"","keywords":"Telemedicine; Health care; Context (archaeology); Medicine; Telehealth; Reimbursement; Medical emergency; Ambulatory care; Nursing","score_opus":0.041838283040096944,"score_gpt":0.4209413019332187,"score_spread":0.37910301889312176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197771389","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16418917,0.045382176,0.3879725,0.18554066,0.0045613074,0.0020678202,0.0012617225,0.007887842,0.20113681],"genre_scores_gemma":[0.81639224,0.01639975,0.13018587,0.020516941,0.0058288267,0.0008807303,0.00044534256,0.00026984923,0.009080549],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9967744,0.0019797746,0.00015526931,0.00029597222,0.0006283343,0.00016620992],"domain_scores_gemma":[0.9932285,0.0036251957,0.0009931616,0.00059606286,0.0005010882,0.001056054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054023964,0.00041448243,0.00030931705,0.00094247854,0.00056312064,0.0032006844,0.0011578536,0.0011506678,0.0056815282],"category_scores_gemma":[0.009237546,0.00015152532,0.0004918716,0.0007070636,0.0008854121,0.002203261,0.0032311252,0.0023212424,0.0010530801],"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":[0.00031073904,0.0011505758,0.010765633,0.0015244412,0.00018658528,0.0002571402,0.002150312,0.0010055024,0.0048599048,0.0099649755,0.032375958,0.9354483],"study_design_scores_gemma":[0.002610328,0.012922277,0.14290889,0.010858597,0.001520694,0.007054029,0.010623367,0.02676284,0.027713113,0.12302986,0.63337106,0.0006250193],"about_ca_topic_score_codex":0.0005691965,"about_ca_topic_score_gemma":0.0011376392,"teacher_disagreement_score":0.0056815282,"about_ca_system_score_codex":0.0005493226,"about_ca_system_score_gemma":0.0016850927,"threshold_uncertainty_score":0.02857095},"labels":[],"label_agreement":null},{"id":"W3198481556","doi":"10.2196/21356","title":"Comparison of Communication Channels for Large-Scale Type 2 Diabetes Risk Screening and Intervention Recruitment: Empirical Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management 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":"Novo Nordisk Fonden","keywords":"Psychological intervention; Medicine; Type 2 diabetes; Logistic regression; Intervention (counseling); Scale (ratio); Family medicine; Diabetes mellitus; Nursing; Internal medicine","score_opus":0.11042432036758107,"score_gpt":0.42776461968672574,"score_spread":0.31734029931914465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198481556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98627627,0.0005606466,0.0030181946,0.00034658017,0.000054792123,0.00641389,0.00031486157,0.000038068374,0.0029766702],"genre_scores_gemma":[0.98605865,0.00039963334,0.0040107197,0.00019574091,0.00005003744,0.008661841,0.00020452055,0.000023147328,0.00039565042],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.85137194,0.12048123,0.0072217095,0.0043445867,0.012668285,0.0039122337],"domain_scores_gemma":[0.31134155,0.6288514,0.030159008,0.009970696,0.013555308,0.0061219786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09810605,0.0008072781,0.0011138237,0.0028642784,0.00196066,0.0039771325,0.002238411,0.0021338318,0.01057205],"category_scores_gemma":[0.34451595,0.00080187153,0.0015605772,0.0026772665,0.002172888,0.0053954343,0.003961085,0.0016257152,0.000908668],"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":[0.022094531,0.042770553,0.6852945,0.0068909023,0.0015684563,0.00034551628,0.036917362,0.0024178433,0.0005109108,0.0024565337,0.0029948931,0.19573797],"study_design_scores_gemma":[0.008948879,0.06245311,0.83517843,0.0041768113,0.0024271002,0.00045081263,0.05997394,0.016858587,0.0014362776,0.0022410753,0.0055664694,0.0002886069],"about_ca_topic_score_codex":0.0038533828,"about_ca_topic_score_gemma":0.0028683818,"teacher_disagreement_score":0.09810605,"about_ca_system_score_codex":0.0047232937,"about_ca_system_score_gemma":0.009892957,"threshold_uncertainty_score":0.51884055},"labels":[],"label_agreement":null},{"id":"W3199701386","doi":"10.2196/30603","title":"Cocreation of Massive Open Online Courses to Improve Digital Health Literacy in Diabetes: Pilot Mixed Methods Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Health Literacy and Information Accessibility","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":"European Commission","keywords":"Health literacy; Digital health; Medical education; Information literacy; Focus group; Literacy; Health care; Medicine; Psychology; Pedagogy; Political science; Sociology","score_opus":0.06542310189090285,"score_gpt":0.5362263105711025,"score_spread":0.47080320868019965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199701386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936812,0.00012543038,0.0005174746,0.00006290438,0.000019700201,0.005006148,0.000099395394,0.000013257029,0.00047448496],"genre_scores_gemma":[0.9757637,0.00063522847,0.0064503504,0.00046915995,0.00009694117,0.014469149,0.00020015525,0.000014906219,0.0019005366],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99588037,0.0020372346,0.000302898,0.0005651157,0.0006306859,0.0005837629],"domain_scores_gemma":[0.99279404,0.003541349,0.00090481207,0.0006148736,0.0011012197,0.0010437384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008401278,0.00083292276,0.0012944167,0.0012996143,0.0020887395,0.0014587062,0.0011579407,0.0011504934,0.0034730765],"category_scores_gemma":[0.0075434092,0.000622893,0.0012887482,0.0009396256,0.0010195033,0.00090636534,0.0016000575,0.0011498163,0.0004283681],"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":[0.016792445,0.3160721,0.12704013,0.00409056,0.0008842851,0.001779913,0.09936359,0.0005807253,0.01250174,0.0007909705,0.002195804,0.4179078],"study_design_scores_gemma":[0.016497208,0.43334126,0.42820528,0.0013235774,0.0017987095,0.00077163434,0.0914101,0.0024418323,0.00882165,0.00092985615,0.014193048,0.0002659242],"about_ca_topic_score_codex":0.0035361801,"about_ca_topic_score_gemma":0.005472292,"teacher_disagreement_score":0.008401278,"about_ca_system_score_codex":0.0016785301,"about_ca_system_score_gemma":0.0035853498,"threshold_uncertainty_score":0.044430733},"labels":[],"label_agreement":null},{"id":"W3199836852","doi":"10.2196/32446","title":"The Significance of Alliance Networks in Research and Development of Digital Health Products for Diabetes: Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Biomedical and Engineering Education","field":"Engineering","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":"Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Centrality; Betweenness centrality; Business; Alliance; Industrial organization; Marketing; Knowledge management; Computer science; Political science","score_opus":0.14078699356713942,"score_gpt":0.3505992586126519,"score_spread":0.20981226504551248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199836852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99449277,0.0014843496,0.00063324906,0.00034244516,0.000019887688,0.000104468316,0.0012528012,0.0000072700464,0.0016627463],"genre_scores_gemma":[0.9979214,0.00047529585,0.00051645306,0.00006772155,0.000022698874,0.000108557666,0.00059936516,0.0000044720355,0.00028399297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955852,0.0017633153,0.00070275355,0.0006714395,0.00073893537,0.0005383997],"domain_scores_gemma":[0.9731855,0.009362915,0.011641095,0.0013458055,0.0018228067,0.0026419128],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0055925837,0.0002569719,0.0005521523,0.002409894,0.0013504042,0.0015992068,0.0008788456,0.0008919521,0.003812498],"category_scores_gemma":[0.024895065,0.00041099018,0.001159243,0.0044533554,0.00051253114,0.0023164726,0.0019766185,0.0019334789,0.00046089795],"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":[0.00006586967,0.0001153835,0.99664503,0.000071692586,0.00009924611,0.000059312373,0.00048760022,0.000055158187,0.00002463681,0.0001228546,0.00030757813,0.0019456339],"study_design_scores_gemma":[0.000027680037,0.0002089898,0.9912226,0.00012061122,0.00024454386,0.000489413,0.0044903927,0.00096931914,0.000066204564,0.00032884418,0.0018105743,0.00002074375],"about_ca_topic_score_codex":0.008710578,"about_ca_topic_score_gemma":0.010005325,"teacher_disagreement_score":0.9944074,"about_ca_system_score_codex":0.0010502163,"about_ca_system_score_gemma":0.0020055757,"threshold_uncertainty_score":0.029576778},"labels":[],"label_agreement":null},{"id":"W3203721275","doi":"10.2196/32298","title":"Changes in Glycemic Control Among Individuals With Diabetes Who Used a Personalized Digital Nutrition Platform: Longitudinal Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Nutritional Studies and Diet","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":"Diabetes mellitus; Glycemic; Medicine; Glycated hemoglobin; Meal; Digital health; Type 2 diabetes; Longitudinal study; Gerontology; Internal medicine; Environmental health; Endocrinology; Health care","score_opus":0.021602712106020338,"score_gpt":0.26895922394602567,"score_spread":0.24735651184000534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203721275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99764156,0.00020616071,0.00013118851,0.0000731075,0.0000121549065,0.000039481063,0.0014612661,0.000004146774,0.00043101702],"genre_scores_gemma":[0.9973111,0.00013759124,0.00021875727,0.00014935971,0.000020298618,0.000079231126,0.0018087442,0.0000030478882,0.00027181508],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916244,0.00018134086,0.000115736286,0.00021726066,0.00018460986,0.00013861281],"domain_scores_gemma":[0.9978091,0.00024025842,0.0009286492,0.000228116,0.00042489602,0.00036903954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015576251,0.00029080946,0.00042377182,0.00079661375,0.0008543078,0.00091849285,0.0005281828,0.0006249293,0.001279979],"category_scores_gemma":[0.0028175763,0.00046770056,0.0008960155,0.0013798933,0.00027577323,0.0012298569,0.0007890505,0.0016624952,0.00037368626],"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":[0.00012617717,0.0001394115,0.99863607,0.0000086468135,0.00007866397,0.000022507686,0.0000952885,0.000017864882,0.00004666864,0.000011740862,0.00017176698,0.00064519467],"study_design_scores_gemma":[0.000030653064,0.00032232478,0.99827397,0.00001741139,0.000085306056,0.0001108743,0.00041968914,0.00024356306,0.00005067905,0.000029970584,0.00040540088,0.000010129364],"about_ca_topic_score_codex":0.01025631,"about_ca_topic_score_gemma":0.012906219,"teacher_disagreement_score":0.01025631,"about_ca_system_score_codex":0.00049076055,"about_ca_system_score_gemma":0.00051409565,"threshold_uncertainty_score":0.020393252},"labels":[],"label_agreement":null},{"id":"W3205058109","doi":"10.2196/29739","title":"A Novel Mobile Health App to Educate and Empower Young People With Type 1 Diabetes to Exercise Safely: Prospective Single-Arm Mixed Methods Pilot Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Australian Research Council","keywords":"mHealth; Thematic analysis; Physical therapy; Medicine; Type 2 diabetes; Health professionals; Diabetes mellitus; Health care; Psychology; Qualitative research; Nursing; Psychological intervention","score_opus":0.042641467001063846,"score_gpt":0.4309011903426168,"score_spread":0.38825972334155295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205058109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977407,0.00032825922,0.001479411,0.0001837601,0.00007960732,0.018862585,0.000490076,0.000046124802,0.0011231954],"genre_scores_gemma":[0.86250365,0.0018545599,0.02730106,0.0013449109,0.00019769033,0.10082726,0.0006194079,0.000054754983,0.0052967407],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99692506,0.0014521995,0.00027669707,0.00043367592,0.00042739723,0.00048499944],"domain_scores_gemma":[0.99623305,0.0019102487,0.0003258196,0.00027357673,0.00077655504,0.0004806662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008644231,0.0011468601,0.0016795668,0.0009860619,0.0018198313,0.0018113685,0.0012839265,0.0015408436,0.00593324],"category_scores_gemma":[0.007527868,0.0008082831,0.0014269386,0.00043818046,0.000945606,0.0013784479,0.001573862,0.0013722131,0.0010050151],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_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":[0.044690333,0.46177426,0.03963274,0.012386038,0.0011457946,0.0015874775,0.052790236,0.0007578988,0.014905656,0.0008990495,0.005112756,0.36431777],"study_design_scores_gemma":[0.04179412,0.7464739,0.12469697,0.0021828543,0.001992727,0.0006661432,0.051258694,0.0022802409,0.006207598,0.0010521577,0.021042885,0.00035168452],"about_ca_topic_score_codex":0.0022692247,"about_ca_topic_score_gemma":0.0045714574,"teacher_disagreement_score":0.008644231,"about_ca_system_score_codex":0.0009114054,"about_ca_system_score_gemma":0.0033837785,"threshold_uncertainty_score":0.04571563},"labels":[],"label_agreement":null},{"id":"W3206399197","doi":"10.2196/27221","title":"Internet-Based Patient Education Materials Regarding Diabetic Foot Ulcers: Readability and Quality Assessment","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Health Literacy and Information Accessibility","field":"Health Professions","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":"St. Michael's Hospital; University of Ottawa; Canada Research Chairs; University of Toronto","funders":"","keywords":"Readability; Medicine; Reading (process); Reliability (semiconductor); Usability; Physical therapy; Patient education; Grade level; Quality (philosophy); Diabetic foot; Diabetes mellitus; Medical physics; Computer science; Psychology; Family medicine; Mathematics education","score_opus":0.06767418679389159,"score_gpt":0.4481540269739978,"score_spread":0.3804798401801062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206399197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90637475,0.042497527,0.006484162,0.004394945,0.000226454,0.0025605096,0.015874788,0.00041807382,0.021168692],"genre_scores_gemma":[0.9548669,0.019554367,0.014430644,0.00085589086,0.0003598526,0.0014063092,0.0068382295,0.00006646993,0.0016214035],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9870646,0.004934087,0.0034890254,0.00040668927,0.0038264396,0.00027908382],"domain_scores_gemma":[0.84672415,0.097766005,0.036063965,0.002278966,0.015209799,0.0019571953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016392242,0.00036816785,0.0012128564,0.011953104,0.00038875634,0.0021415702,0.0005815488,0.0005860276,0.0066988007],"category_scores_gemma":[0.088114366,0.00015238993,0.0012704028,0.0073399697,0.00048817045,0.002863257,0.0010655862,0.00063606334,0.0008518939],"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":[0.0015747308,0.00084406394,0.4017743,0.022994228,0.0008894278,0.00051665405,0.003034534,0.00048154054,0.0011589576,0.0003740401,0.008800088,0.55755746],"study_design_scores_gemma":[0.00022428777,0.0021099395,0.94683665,0.0145128565,0.0012819209,0.0023161618,0.00361715,0.0011861598,0.00239344,0.0009340272,0.02444004,0.00014745387],"about_ca_topic_score_codex":0.001305015,"about_ca_topic_score_gemma":0.0021666929,"teacher_disagreement_score":0.016392242,"about_ca_system_score_codex":0.0008068044,"about_ca_system_score_gemma":0.0013636565,"threshold_uncertainty_score":0.0866915},"labels":[],"label_agreement":null},{"id":"W3207197504","doi":"10.2196/21405","title":"Augmenting Traditional Support Groups for Adolescents With Type 1 Diabetes Using Instagram: Mixed Methods Feasibility Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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 Center for Advancing Translational Sciences; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; Georgia Clinical and Translational Science Alliance; University of Washington","keywords":"Photovoice; Support group; Focus group; Psychology; Medicine; Social support; Family medicine; Psychiatry; Social psychology","score_opus":0.12265057591174723,"score_gpt":0.4081798261409037,"score_spread":0.2855292502291565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207197504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9734274,0.0002057409,0.001671732,0.000162324,0.000041057592,0.023098566,0.00022381514,0.000025359122,0.0011439337],"genre_scores_gemma":[0.8678663,0.0009321199,0.024806788,0.0009762526,0.00013045793,0.10328779,0.000347851,0.000020799447,0.0016316973],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99280614,0.0048300163,0.00047230293,0.00048905896,0.00067395327,0.0007285623],"domain_scores_gemma":[0.9933963,0.0034036895,0.00081154786,0.00048654346,0.0010299123,0.0008720187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01851758,0.0010219077,0.0010224627,0.001058326,0.0019171524,0.0015199895,0.0012692781,0.0011717745,0.0040114475],"category_scores_gemma":[0.010453833,0.0009145914,0.0015258691,0.00059158826,0.0008141587,0.0012881622,0.001651206,0.001166689,0.0005830006],"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":[0.03677196,0.32717982,0.14173572,0.0071488745,0.0013849837,0.002176144,0.087662674,0.0009815912,0.011331411,0.0018477645,0.0038664944,0.37791258],"study_design_scores_gemma":[0.041536536,0.5846017,0.23825738,0.0023093026,0.0015871134,0.0010683357,0.096655436,0.0036344014,0.005343941,0.001608811,0.023021614,0.00037546662],"about_ca_topic_score_codex":0.0021330034,"about_ca_topic_score_gemma":0.0045061377,"teacher_disagreement_score":0.01851758,"about_ca_system_score_codex":0.001182847,"about_ca_system_score_gemma":0.0041412674,"threshold_uncertainty_score":0.097931504},"labels":[],"label_agreement":null},{"id":"W3208475970","doi":"10.2196/29178","title":"Blood Glucose Monitoring and Sharing Amongst People With Diabetes and Their Facilitators: Cross-sectional Study of Methods and Practices","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management 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":"Deanship of Scientific Research, King Saud University; King Saud University","keywords":"Medicine; Diabetes mellitus; Cross-sectional study; Diabetes management; Blood sugar; Self-monitoring; Blood Glucose Self-Monitoring; Blood glucose monitoring; Odds ratio; Family medicine; Type 2 diabetes; Environmental health; Internal medicine; Type 1 diabetes; Continuous glucose monitoring; Psychology; Endocrinology; Pathology","score_opus":0.032160510413733155,"score_gpt":0.37034591658088806,"score_spread":0.3381854061671549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208475970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992686,0.00013829795,0.00006822924,0.00003342237,0.00000281018,0.000051246087,0.00018284915,0.0000011753806,0.00025325204],"genre_scores_gemma":[0.99927837,0.00014452692,0.00018477357,0.000071365765,0.0000048949273,0.000082390034,0.00010263682,0.0000013016113,0.000129729],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856156,0.00058111385,0.00018624225,0.00019996965,0.00025853378,0.00021256757],"domain_scores_gemma":[0.9962607,0.0011106333,0.001451811,0.00023887723,0.00054342253,0.00039451107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022385302,0.00026049546,0.00041788802,0.00089456025,0.0010966924,0.00086911686,0.00050895516,0.0008257177,0.0018904157],"category_scores_gemma":[0.003821974,0.00070638815,0.00057106715,0.0011848605,0.00051097997,0.0012203546,0.00092198036,0.00083733845,0.00046888198],"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":[0.000050608323,0.0002024111,0.99242353,0.000060464845,0.000032135704,0.000064651176,0.005549276,0.000008276676,0.00016813532,0.000015707914,0.00007425086,0.0013504456],"study_design_scores_gemma":[0.000008921532,0.0005521209,0.98210883,0.00006384593,0.000026124842,0.0003616844,0.016341316,0.00010000026,0.00007145953,0.000020862772,0.0003346417,0.000010236373],"about_ca_topic_score_codex":0.0070629558,"about_ca_topic_score_gemma":0.007508939,"teacher_disagreement_score":0.0070629558,"about_ca_system_score_codex":0.0005304986,"about_ca_system_score_gemma":0.0006714608,"threshold_uncertainty_score":0.014043689},"labels":[],"label_agreement":null},{"id":"W3209900067","doi":"10.2196/29027","title":"Patient-Generated Data Analytics of Health Behaviors of People Living With Type 2 Diabetes: Scoping Review","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"University of Waterloo; McMaster University; University of Toronto; University Health Network","funders":"","keywords":"Inclusion (mineral); Analytics; Thematic analysis; Data science; Descriptive statistics; Type 2 diabetes; Computer science; Inclusion and exclusion criteria; Data analysis; Gerontology; Psychology; Applied psychology; Medicine; Data mining; Diabetes mellitus; Qualitative research; Alternative medicine; Social psychology; Mathematics; Social science; Sociology; Statistics","score_opus":0.08952888008883408,"score_gpt":0.4379180792193935,"score_spread":0.34838919913055943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209900067","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00095849653,0.99449086,0.0006813307,0.0010893606,0.00025766212,0.0006344339,0.0007503549,0.000018687495,0.0011189211],"genre_scores_gemma":[0.01000155,0.9854708,0.0017410497,0.00073288,0.00013401631,0.0011960412,0.0005690891,0.000011030901,0.00014365118],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9797259,0.008601241,0.006996838,0.0011972165,0.003083229,0.00039570287],"domain_scores_gemma":[0.8224127,0.15160413,0.011594007,0.0023992164,0.011386903,0.00060309476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022916641,0.0015498209,0.0044240663,0.023094045,0.0012844494,0.005738095,0.0027570378,0.0038935519,0.0037805766],"category_scores_gemma":[0.13597742,0.0011992056,0.0059685414,0.023525085,0.0016951979,0.0048076967,0.0031777555,0.0022007695,0.000628405],"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":[0.00011050833,0.000058926023,0.0016686213,0.8456993,0.002544272,0.0001574565,0.0014721543,0.00040004365,0.00015789723,0.0018149932,0.005092549,0.14082333],"study_design_scores_gemma":[0.000022941209,0.00006816679,0.0016378091,0.9587571,0.0046419594,0.00017583456,0.0007031635,0.00013339335,0.00015152799,0.0005932923,0.033087157,0.00002770367],"about_ca_topic_score_codex":0.0123781515,"about_ca_topic_score_gemma":0.017510664,"teacher_disagreement_score":0.023094045,"about_ca_system_score_codex":0.004810613,"about_ca_system_score_gemma":0.026812248,"threshold_uncertainty_score":0.12119627},"labels":[],"label_agreement":null},{"id":"W3212210403","doi":"10.2196/23243","title":"A 12-Month Follow-Up of the Effects of a Digital Diabetes Prevention Program (VP Transform for Prediabetes) on Weight and Physical Activity Among Adults With Prediabetes: Secondary Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Prediabetes; Medicine; Type 2 diabetes; Diabetes mellitus; Weight loss; Physical therapy; Overweight; Internal medicine; Gerontology; Endocrinology; Obesity","score_opus":0.009415183231279363,"score_gpt":0.3237866347851822,"score_spread":0.31437145155390284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212210403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99701667,0.00011896954,0.00014690048,0.000031273816,0.000014738088,0.0003651391,0.0017953606,0.000011319175,0.0004995605],"genre_scores_gemma":[0.99503434,0.000085283085,0.00028668367,0.00006395295,0.000029466664,0.0008899588,0.00282217,0.000005345959,0.0007828442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877816,0.00043803715,0.00013872347,0.00020676557,0.0002316274,0.00020675984],"domain_scores_gemma":[0.99706835,0.0006454181,0.0007922536,0.00027057,0.0005926088,0.00063079596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027425769,0.0006158486,0.001286298,0.0016013485,0.0010874082,0.0006444163,0.00061587384,0.0009682328,0.0027004196],"category_scores_gemma":[0.0036914025,0.0005424196,0.0030577453,0.0012022721,0.00026726638,0.0006847375,0.001023565,0.0015156869,0.000568234],"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":[0.030900558,0.009611099,0.9367688,0.00035139694,0.0026836926,0.00014061811,0.0006041888,0.0004675435,0.0008936948,0.000042429976,0.0014931045,0.016042942],"study_design_scores_gemma":[0.0013862782,0.00864971,0.9881087,0.00002255585,0.0006421463,0.000038371323,0.00022916179,0.00035649387,0.00018134102,0.000015370711,0.00035443413,0.000015512212],"about_ca_topic_score_codex":0.010204665,"about_ca_topic_score_gemma":0.012771079,"teacher_disagreement_score":0.010204665,"about_ca_system_score_codex":0.00068677164,"about_ca_system_score_gemma":0.0009671993,"threshold_uncertainty_score":0.020290554},"labels":[],"label_agreement":null},{"id":"W3212399589","doi":"10.2196/25105","title":"Evaluation of a Web Platform to Record Lifestyle Habits in Subjects at Risk of Developing Type 2 Diabetes in a Middle-Income Population: Prospective Interventional Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Medicine; Usability; Prediabetes; Glycated hemoglobin; Type 2 diabetes; mHealth; Population; Gerontology; Medical record; Diabetes mellitus; Physical therapy; Environmental health; Psychological intervention; Nursing; Internal medicine","score_opus":0.07680214722376409,"score_gpt":0.42281747722359236,"score_spread":0.34601532999982826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212399589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982999,0.00003199954,0.00016123813,0.000026609001,0.000007161736,0.0011876835,0.00008236048,0.0000066683137,0.00019649186],"genre_scores_gemma":[0.9938274,0.00011705724,0.0017850103,0.00014234532,0.00004177476,0.0033846356,0.00031680719,0.000005942146,0.00037894535],"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99744606,0.0014360475,0.000196708,0.00026600712,0.00033724113,0.00031803228],"domain_scores_gemma":[0.9946784,0.0016324417,0.0009586499,0.0005065682,0.001040481,0.0011834111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066272453,0.0010041427,0.0010239654,0.0013576645,0.001818441,0.001109928,0.00061874435,0.0010700867,0.0015896874],"category_scores_gemma":[0.007036473,0.0008071586,0.0015871426,0.0007621864,0.00069725886,0.001179983,0.0009017376,0.0011103653,0.0004514705],"study_design_candidate":"nonrandomized_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":[0.023229226,0.18003894,0.75961006,0.0005094372,0.00077076635,0.00041983565,0.004205987,0.0003198925,0.002629816,0.00007666869,0.000607479,0.027581876],"study_design_scores_gemma":[0.00775253,0.21969062,0.7647917,0.00006515745,0.0006793928,0.00019724846,0.002889258,0.0019155452,0.000880276,0.000086104024,0.00097237533,0.00007976303],"about_ca_topic_score_codex":0.0047040903,"about_ca_topic_score_gemma":0.0051943357,"teacher_disagreement_score":0.0066272453,"about_ca_system_score_codex":0.0007924727,"about_ca_system_score_gemma":0.0016192726,"threshold_uncertainty_score":0.035048664},"labels":[],"label_agreement":null},{"id":"W3214834430","doi":"10.2196/32320","title":"Differences in Secure Messaging, Self-management, and Glycemic Control Between Rural and Urban Patients: Secondary Data Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"National Heart, Lung, and Blood Institute; Office of Research and Development; U.S. Department of Veterans Affairs","keywords":"Glycemic; Medicine; Diabetes mellitus; Diabetes management; Self-management; Rurality; Stratified sampling; Gerontology; Rural area; Environmental health; Type 2 diabetes; Endocrinology","score_opus":0.01968002612580611,"score_gpt":0.34541589867021155,"score_spread":0.32573587254440545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214834430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979328,0.000046520596,0.00026211882,0.00003554175,0.0000037364466,0.000104697094,0.0013002803,0.000005925326,0.00030836347],"genre_scores_gemma":[0.9976355,0.00003321829,0.0003309035,0.000059198926,0.000007791016,0.00024744443,0.0014464752,0.0000049000914,0.0002344887],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99777263,0.0009947435,0.00023045694,0.00039085143,0.00033414896,0.00027712653],"domain_scores_gemma":[0.9953252,0.0017763862,0.0014391048,0.00042112512,0.00059172144,0.00044645442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002625285,0.00027474397,0.0006904464,0.0017662949,0.0006146638,0.0006616026,0.0005109339,0.00033268545,0.004281535],"category_scores_gemma":[0.0064679617,0.0003154799,0.001221531,0.0021803176,0.00036463232,0.00041365018,0.0010450821,0.0006693253,0.00053948787],"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":[0.00064380397,0.00037409485,0.99398583,0.00008261329,0.00033206528,0.00007686216,0.00069324276,0.00008893619,0.00022903863,0.00005254943,0.0005480742,0.0028928784],"study_design_scores_gemma":[0.00017383404,0.0013918605,0.9939779,0.000033262473,0.00021778133,0.0001925737,0.0021402375,0.0008786173,0.00024509855,0.000099909164,0.0006349108,0.000013973107],"about_ca_topic_score_codex":0.0057368358,"about_ca_topic_score_gemma":0.005300273,"teacher_disagreement_score":0.0057368358,"about_ca_system_score_codex":0.00048588242,"about_ca_system_score_gemma":0.0007924919,"threshold_uncertainty_score":0.014323115},"labels":[],"label_agreement":null},{"id":"W3214910639","doi":"10.2196/23641","title":"Technological Proficiencies, Engagement, and Practical Considerations for mHealth Programs at an Urban Safety-Net Hospital Emergency Departments: Data Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"mHealth; Safety net; Mobile phone; Medicine; Randomized controlled trial; Intervention (counseling); Medical emergency; Emergency department; Patient safety; Mobile technology; Family medicine; Nursing; Medical education; Mobile device; Health care; Psychological intervention; Computer science; World Wide Web","score_opus":0.15814568034190052,"score_gpt":0.4721058470431702,"score_spread":0.3139601667012697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214910639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960353,0.00003489739,0.0004869883,0.000096304175,0.0000034211632,0.0006959997,0.0022147235,0.000008653038,0.00042369557],"genre_scores_gemma":[0.993999,0.000028657101,0.0008460108,0.00004518803,0.0000072654807,0.0024971464,0.0023279926,0.000006140103,0.0002426519],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98854524,0.005760493,0.0018135031,0.0009657246,0.0018019371,0.0011130868],"domain_scores_gemma":[0.9634659,0.020614183,0.009041011,0.0020547635,0.0028162692,0.0020078828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012013716,0.00043685318,0.0006530001,0.0026365747,0.0009457241,0.0015064842,0.000971871,0.0007469773,0.003992341],"category_scores_gemma":[0.025409868,0.00036075595,0.0018089174,0.0030045386,0.0007910795,0.0016212302,0.002593587,0.0014691876,0.0005326046],"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":[0.00081053254,0.0005810951,0.99274784,0.00007579216,0.00015606826,0.00003743531,0.0010700771,0.00031724325,0.00009626876,0.00008110611,0.0006052613,0.003421354],"study_design_scores_gemma":[0.00016359646,0.0014904329,0.9909304,0.000047843274,0.00006526778,0.000043706154,0.0036994065,0.00256646,0.00024213106,0.0000644738,0.00066161726,0.000024657782],"about_ca_topic_score_codex":0.0044925134,"about_ca_topic_score_gemma":0.0044384846,"teacher_disagreement_score":0.012013716,"about_ca_system_score_codex":0.0020457667,"about_ca_system_score_gemma":0.0030989794,"threshold_uncertainty_score":0.06353539},"labels":[],"label_agreement":null},{"id":"W3216160590","doi":"10.2196/31451","title":"Barriers and Drivers Regarding the Use of Mobile Health Apps Among Patients With Type 2 Diabetes Mellitus in the Netherlands: Explanatory Sequential Design Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Provincie Overijssel","keywords":"Unified theory of acceptance and use of technology; Expectancy theory; Descriptive statistics; Psychology; Applied psychology; Type 2 Diabetes Mellitus; Medicine; Computer science; Diabetes mellitus; Social psychology; Statistics; Mathematics","score_opus":0.05027176757333712,"score_gpt":0.34800173002814094,"score_spread":0.2977299624548038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216160590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978892,0.000051886254,0.0006335575,0.000029589646,0.0000046781156,0.0010508499,0.00011450099,0.000002348722,0.00022356353],"genre_scores_gemma":[0.9897954,0.00010138901,0.0037845264,0.00005141938,0.0000062232084,0.0055574053,0.00019144853,0.0000033594144,0.00050882914],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9947633,0.0033497347,0.0006220241,0.00041751922,0.00033550436,0.0005120336],"domain_scores_gemma":[0.98680854,0.009345718,0.0019176403,0.0005759695,0.0009769091,0.00037527978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071982234,0.00047236047,0.0006672398,0.0010344904,0.0008446593,0.0007401289,0.00055235886,0.000651569,0.0039908374],"category_scores_gemma":[0.015583874,0.00064707716,0.0014245259,0.0010618682,0.00068271917,0.0010455183,0.0010750787,0.000431598,0.0001875047],"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":[0.005007784,0.010186969,0.8749484,0.0017323635,0.00037179288,0.0006908982,0.054358177,0.0012859091,0.0009168609,0.00085755595,0.00054441154,0.049098853],"study_design_scores_gemma":[0.002081341,0.030994203,0.8683685,0.0006783365,0.0008823793,0.00054750696,0.07769001,0.0109979585,0.0019969768,0.0012169427,0.0044309325,0.000114904804],"about_ca_topic_score_codex":0.0063489974,"about_ca_topic_score_gemma":0.0066140364,"teacher_disagreement_score":0.0071982234,"about_ca_system_score_codex":0.0016667314,"about_ca_system_score_gemma":0.0036283762,"threshold_uncertainty_score":0.038068354},"labels":[],"label_agreement":null},{"id":"W3216834967","doi":"10.2196/29107","title":"Comparison of Daily Routines Between Middle-aged and Older Participants With and Those Without Diabetes in the Electronic Framingham Heart Study: Cohort Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"National Institute on Aging; American Heart Association; National Heart, Lung, and Blood Institute; Robert Wood Johnson Foundation","keywords":"Medicine; Prediabetes; Framingham Heart Study; Diabetes mellitus; Glycemic; Cohort; Smartwatch; Gerontology; Framingham Risk Score; Diabetes management; Cohort study; Type 2 diabetes; Physical therapy; Internal medicine; Endocrinology; Disease","score_opus":0.08085018732023355,"score_gpt":0.4482917600009131,"score_spread":0.36744157268067956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216834967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979279,0.0003188554,0.000115214134,0.000043633332,0.000022516406,0.000021712462,0.0012295505,0.0000040356795,0.00031653795],"genre_scores_gemma":[0.9979432,0.0001778951,0.00013353916,0.000057040797,0.000029825183,0.00004192009,0.0013570219,0.0000031932743,0.000256298],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990208,0.00020672785,0.000121037,0.0003117841,0.00018155861,0.0001580301],"domain_scores_gemma":[0.9985511,0.00017755383,0.0005645782,0.00025555224,0.00019103033,0.00026018254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001777272,0.00043455305,0.0005766832,0.0011806756,0.00066503236,0.0008282066,0.00067104335,0.0007232209,0.0012781657],"category_scores_gemma":[0.0031893677,0.00048062357,0.0008344611,0.0014427779,0.00025335,0.00064494106,0.0006890686,0.0006159768,0.00024155754],"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":[0.00020267605,0.00004663421,0.9983809,0.000011460324,0.00018584875,0.000043722386,0.00012337777,0.000015860785,0.00011178966,0.000017203442,0.00018291702,0.00067751313],"study_design_scores_gemma":[0.0000086320215,0.000031659652,0.9996878,0.0000043523537,0.00004120751,0.00002604401,0.00007512849,0.000036894628,0.000008840188,0.0000061137566,0.000071000904,0.0000024512617],"about_ca_topic_score_codex":0.021200364,"about_ca_topic_score_gemma":0.025440162,"teacher_disagreement_score":0.021200364,"about_ca_system_score_codex":0.00034893194,"about_ca_system_score_gemma":0.00030375028,"threshold_uncertainty_score":0.042153895},"labels":[],"label_agreement":null},{"id":"W4200483925","doi":"10.2196/33639","title":"Feasibility and Impact of Remote Glucose Monitoring Among Patients With Newly Diagnosed Type 1 Diabetes: Single-Center Pilot Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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 Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health","keywords":"Medicine; Glucose meter; Population; Intervention (counseling); Diabetes mellitus; Medical emergency; Type 1 diabetes; Health care; Family medicine; Emergency medicine; Nursing; Environmental health","score_opus":0.043213680201696386,"score_gpt":0.3169909398048479,"score_spread":0.27377725960315147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200483925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987754,0.000031685526,0.00009294785,0.000038056223,0.0000062397144,0.0007480866,0.00007040838,0.0000044622325,0.00023277472],"genre_scores_gemma":[0.99738616,0.00008600391,0.00093965133,0.00011389668,0.000017598932,0.0012091758,0.00010876092,0.000003151802,0.00013557063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99670106,0.0019802803,0.00018403358,0.0004039078,0.00034345686,0.00038713793],"domain_scores_gemma":[0.99379563,0.0021796755,0.0011650457,0.00049110444,0.0007761336,0.0015924606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00534207,0.00057354587,0.00080780336,0.00050576526,0.0016458279,0.00093373185,0.0007702715,0.0007839806,0.0026300973],"category_scores_gemma":[0.008268098,0.00062689406,0.00077815534,0.00044353292,0.0007492472,0.0010215669,0.0011015612,0.0010635848,0.0005159395],"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":[0.012845432,0.08898896,0.84542495,0.00042850192,0.0002640357,0.00096733443,0.0089502,0.00021116127,0.0026092562,0.000068491616,0.0008647866,0.03837688],"study_design_scores_gemma":[0.0055172783,0.13298243,0.84667975,0.00009606075,0.00024786388,0.0008036662,0.0109915845,0.0007911914,0.0007427726,0.000054001157,0.0010369654,0.00005648564],"about_ca_topic_score_codex":0.004795647,"about_ca_topic_score_gemma":0.0075543593,"teacher_disagreement_score":0.00534207,"about_ca_system_score_codex":0.00089996157,"about_ca_system_score_gemma":0.0023518037,"threshold_uncertainty_score":0.028251886},"labels":[],"label_agreement":null},{"id":"W4205195164","doi":"10.2196/33082","title":"Text Messages and Financial Incentives to Increase Physical Activity in Adolescents With Prediabetes and Type 2 Diabetes: Web-Based Group Interviews to Inform Intervention Design","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health","keywords":"Prediabetes; Type 2 diabetes; Overweight; Incentive; Population; Psychology; Medicine; Intervention (counseling); Framing (construction); Obesity; Nursing; Diabetes mellitus; Internal medicine; Environmental health","score_opus":0.028734784689660304,"score_gpt":0.36935229495128197,"score_spread":0.3406175102616217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205195164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9052256,0.0004660632,0.032320924,0.0028560807,0.00019996404,0.04949908,0.0008857611,0.00016760651,0.008378928],"genre_scores_gemma":[0.77676976,0.0007975016,0.1307791,0.0013907838,0.000117810654,0.0854963,0.00043852907,0.00004485585,0.0041653286],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9828264,0.01462748,0.00058900216,0.0004897191,0.00036825752,0.0010991759],"domain_scores_gemma":[0.97672814,0.018391589,0.0014106303,0.0006107182,0.0016002358,0.0012587243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02238259,0.0011585172,0.0005352885,0.0012767245,0.0029494995,0.0009749547,0.0014207128,0.0013268705,0.004687946],"category_scores_gemma":[0.022115482,0.00066653773,0.0005788576,0.000975429,0.0018664631,0.0016680714,0.0028725062,0.0017171337,0.00058857456],"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":[0.0021267754,0.008001962,0.014229826,0.0027294913,0.00004764477,0.0013653848,0.7334724,0.0017672923,0.009412085,0.003174731,0.007270859,0.21640159],"study_design_scores_gemma":[0.004187939,0.014776317,0.031233858,0.0030032007,0.00021271838,0.0005655513,0.8384466,0.0076182326,0.016397906,0.008730819,0.07460067,0.00022623336],"about_ca_topic_score_codex":0.0017497987,"about_ca_topic_score_gemma":0.0042071072,"teacher_disagreement_score":0.02238259,"about_ca_system_score_codex":0.003368935,"about_ca_system_score_gemma":0.0060189725,"threshold_uncertainty_score":0.118371844},"labels":[],"label_agreement":null},{"id":"W4205198085","doi":"10.2196/30626","title":"Virtual Endocrinology Care Emphasizing Data-Driven Insights and Continuous Engagement and Its Impact on Glycemic Outcomes in Patients With Uncontrolled Diabetes: A Real-world Retrospective Case Series","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"Medicine; Glycemic; Diabetes mellitus; Retrospective cohort study; Type 2 diabetes; Cohort; Continuous glucose monitoring; Internal medicine; Endocrinology","score_opus":0.01653686802361625,"score_gpt":0.3069855872209128,"score_spread":0.29044871919729653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205198085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967843,0.0009160703,0.00054455147,0.00035219727,0.000023268174,0.00005303714,0.00006626805,0.000005218807,0.0012550048],"genre_scores_gemma":[0.9988795,0.00041701383,0.00034555836,0.00011796531,0.00004876015,0.000017551243,0.000046896876,0.0000029905411,0.0001238109],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904007,0.00034765952,0.00012845358,0.00012030535,0.00015043374,0.00021304497],"domain_scores_gemma":[0.99765056,0.00078314985,0.0006087477,0.00016308304,0.00014754389,0.0006468613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009191915,0.00034574576,0.00036656912,0.0008018906,0.0015136559,0.0015401791,0.0005080972,0.00092713407,0.0011235452],"category_scores_gemma":[0.0038834987,0.00029953494,0.0004068323,0.0011577213,0.0010499682,0.00072962325,0.0012540963,0.001249566,0.00016152115],"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":[0.00035733642,0.00058058184,0.73171973,0.00019599318,0.00007891504,0.24514073,0.0038266492,0.0003717524,0.000723171,0.0010859345,0.0016193792,0.014299736],"study_design_scores_gemma":[0.00007350788,0.0014039491,0.24484532,0.0002763244,0.00011518206,0.73262805,0.011492488,0.0016487722,0.0009142138,0.0007150539,0.0057933815,0.00009379681],"about_ca_topic_score_codex":0.0021624845,"about_ca_topic_score_gemma":0.0034044692,"teacher_disagreement_score":0.0021624845,"about_ca_system_score_codex":0.0011202071,"about_ca_system_score_gemma":0.0009038433,"threshold_uncertainty_score":0.008127749},"labels":[],"label_agreement":null},{"id":"W4205404706","doi":"10.2196/27220","title":"Use of Health Information Technology by Adults With Diabetes in the United States: Cross-sectional Analysis of National Health Interview Survey Data (2016-2018)","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"eHealth; Medicine; National Health Interview Survey; Diabetes mellitus; Health Information National Trends Survey; Family medicine; Health care; Gerontology; Obesity; Type 2 diabetes; Ethnic group; Community health; Cross-sectional study; Health information; Public health; Environmental health; Nursing; Internal medicine; Population; Endocrinology","score_opus":0.11475674048568402,"score_gpt":0.4334084780935808,"score_spread":0.3186517376078968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205404706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95523256,0.0010001516,0.0003990629,0.00031655145,0.000030238334,0.00008104795,0.04152548,0.000026782935,0.0013879859],"genre_scores_gemma":[0.97791904,0.0007501537,0.0005739441,0.00023379209,0.000024935465,0.00018161668,0.01996625,0.0000068203844,0.00034348515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998195,0.00052160205,0.00042628753,0.00031041543,0.00040507817,0.00014171643],"domain_scores_gemma":[0.9943347,0.00101007,0.0032641082,0.00034181814,0.00069496915,0.00035438876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020494177,0.0002576431,0.0003676411,0.001629076,0.0002809233,0.0006592372,0.00046405842,0.00049065764,0.001085086],"category_scores_gemma":[0.0051637124,0.00038636752,0.0009122704,0.0035030425,0.00020044454,0.0007357537,0.0007381478,0.0007583817,0.0003159371],"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":[0.000023912575,0.000023317289,0.99817026,0.00003441986,0.00012687374,0.000009688994,0.00007031649,0.00004829266,0.000025262663,0.000015487665,0.0005950236,0.00085705996],"study_design_scores_gemma":[0.0000059034965,0.00002566674,0.99897146,0.0000251101,0.000054689222,0.000049901922,0.00021137575,0.00014631744,0.000028275448,0.000011652707,0.00046511713,0.000004481688],"about_ca_topic_score_codex":0.035222244,"about_ca_topic_score_gemma":0.03524727,"teacher_disagreement_score":0.035222244,"about_ca_system_score_codex":0.00066098967,"about_ca_system_score_gemma":0.00056358293,"threshold_uncertainty_score":0.070034444},"labels":[],"label_agreement":null},{"id":"W4205779971","doi":"10.2196/23844","title":"Small Practices, Big (QI) Dreams: Customizing Quality Improvement (QI) Efforts for Under-Resourced Primary Care Practices to Improve Diabetes Disparities","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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 Institute on Minority Health and Health Disparities; National Center for Advancing Translational Sciences; National Center for Chronic Disease Prevention and Health Promotion; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Primary care; Quality management; Quality (philosophy); Medicine; Traditional medicine; Diabetes mellitus; Medical education; Psychology; Business; Family medicine; Marketing","score_opus":0.05199823161420607,"score_gpt":0.32709964000831954,"score_spread":0.27510140839411346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205779971","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05790374,0.007707844,0.10711055,0.6630563,0.012828092,0.006030115,0.008840134,0.014585616,0.12193753],"genre_scores_gemma":[0.42306063,0.009923821,0.45307195,0.07219043,0.0043828427,0.008337724,0.0064440817,0.0023455326,0.02024293],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.96771955,0.023304706,0.0020290846,0.0015914701,0.003797411,0.0015576965],"domain_scores_gemma":[0.8906776,0.050639573,0.008953218,0.017573757,0.008597012,0.023558935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.050160483,0.0007337953,0.0007559619,0.0017830313,0.0036049853,0.008730854,0.0029842884,0.0025901059,0.028090568],"category_scores_gemma":[0.15657751,0.0007170782,0.0014434913,0.0027079554,0.0028194792,0.0058022765,0.012177929,0.004776872,0.0071784416],"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":[0.00062314415,0.00064325146,0.014613644,0.0014983398,0.00018326705,0.00012349003,0.0039003475,0.00087811064,0.0008514233,0.009388876,0.3380546,0.6292415],"study_design_scores_gemma":[0.005521632,0.006561886,0.08290777,0.0111442525,0.001032331,0.0004869666,0.023265684,0.012980688,0.004277094,0.13710436,0.7140878,0.00062953384],"about_ca_topic_score_codex":0.00932596,"about_ca_topic_score_gemma":0.021751875,"teacher_disagreement_score":0.050160483,"about_ca_system_score_codex":0.003939039,"about_ca_system_score_gemma":0.03126254,"threshold_uncertainty_score":0.26527715},"labels":[],"label_agreement":null},{"id":"W4205851478","doi":"10.2196/34465","title":"An Innovative, Paradigm-Shifting Lifestyle Intervention to Reduce Glucose Excursions With the Use of Continuous Glucose Monitoring to Educate, Motivate, and Activate Adults With Newly Diagnosed Type 2 Diabetes: Pilot Feasibility Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"University of Virginia","keywords":"Glycemic; Medicine; Type 2 diabetes; Continuous glucose monitoring; Diabetes mellitus; Weight loss; Metabolic control analysis; Distress; Physical therapy; Obesity; Internal medicine; Endocrinology","score_opus":0.06269885257857952,"score_gpt":0.3917333066397588,"score_spread":0.32903445406117926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205851478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99737847,0.00003587546,0.00028772568,0.0000724555,0.000021955299,0.0018932185,0.000060937182,0.00001884641,0.00023056964],"genre_scores_gemma":[0.9759996,0.00026073208,0.012007037,0.0005059593,0.00010071605,0.00995255,0.00024700968,0.000009815715,0.00091656885],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9994091,0.000247868,0.000040213443,0.000104603394,0.000069857466,0.00012841013],"domain_scores_gemma":[0.9990288,0.00027655074,0.0001242427,0.00008402145,0.00006502241,0.00042141238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001554614,0.00081995665,0.0007834493,0.00051031995,0.00060790643,0.00046979374,0.00087711174,0.00094416377,0.0028184631],"category_scores_gemma":[0.0017475005,0.000473021,0.00086248736,0.00022228154,0.0005432767,0.0006160039,0.0008632965,0.0011820979,0.00028921434],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_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":[0.05153045,0.80170435,0.017283054,0.0009949127,0.0005243701,0.00036075123,0.0018091381,0.0008423012,0.013057011,0.00016389927,0.0010391811,0.110690534],"study_design_scores_gemma":[0.1040099,0.81941974,0.06981827,0.00006773173,0.00032350543,0.00015263144,0.0007115799,0.0020959263,0.0017622508,0.00015022558,0.0014407007,0.000047459747],"about_ca_topic_score_codex":0.001403991,"about_ca_topic_score_gemma":0.002597389,"teacher_disagreement_score":0.0028184631,"about_ca_system_score_codex":0.0003697544,"about_ca_system_score_gemma":0.0013572638,"threshold_uncertainty_score":0.00942868},"labels":[],"label_agreement":null},{"id":"W4206322279","doi":"10.2196/32369","title":"The Rapid Implementation of an Innovative Virtual Diabetes Boot Camp Program: Case Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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":"Boot camp; Health care; Diabetes mellitus; Digital health; MEDLINE; Program evaluation","score_opus":0.01965950406479967,"score_gpt":0.35444043445694196,"score_spread":0.3347809303921423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206322279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860924,0.0003603032,0.0018890001,0.0025716552,0.00012231652,0.00051874254,0.000051357965,0.000036391553,0.008357901],"genre_scores_gemma":[0.99204093,0.0006596953,0.0034651207,0.001223223,0.00010378261,0.0003586159,0.000059398455,0.000025228603,0.0020638385],"study_design_codex":"case_report","study_design_gemma":"case_report","domain_scores_codex":[0.99688596,0.0016305312,0.0001303156,0.00020167512,0.00033355987,0.0008178935],"domain_scores_gemma":[0.99561334,0.0011799268,0.00048154555,0.00019146851,0.00018901526,0.0023446523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023348483,0.000645533,0.00038328485,0.0008110486,0.005305895,0.0022038931,0.001760117,0.0029818646,0.0020410197],"category_scores_gemma":[0.00828188,0.00051095145,0.0007555147,0.0009161989,0.0016750109,0.0011610973,0.002941126,0.0036869661,0.00033990026],"study_design_candidate":"case_report","study_design_consensus":"case_report","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080489094,0.03787382,0.1732094,0.0009750245,0.00013860998,0.5425008,0.09437666,0.002010412,0.0028980703,0.007866968,0.013407233,0.12393821],"study_design_scores_gemma":[0.0008077768,0.017611982,0.15589215,0.0010757818,0.00019103654,0.52875245,0.22136544,0.010604734,0.004487574,0.0036693432,0.05516777,0.00037393844],"about_ca_topic_score_codex":0.0045622424,"about_ca_topic_score_gemma":0.009426083,"teacher_disagreement_score":0.005305895,"about_ca_system_score_codex":0.002437281,"about_ca_system_score_gemma":0.0027041142,"threshold_uncertainty_score":0.017683804},"labels":[],"label_agreement":null},{"id":"W4206460926","doi":"10.2196/33213","title":"Open-source Web Portal for Managing Self-reported Data and Real-world Data Donation in Diabetes Research: Platform Feasibility Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"Berlin Institute of Health; Deutsche Forschungsgemeinschaft; European Commission; Wellcome Trust","keywords":"Computer science; World Wide Web; Medicine","score_opus":0.30717592237885943,"score_gpt":0.46756462166616664,"score_spread":0.1603886992873072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206460926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9807734,0.00012660788,0.0065614977,0.0006539869,0.000033617507,0.008101448,0.00074483507,0.00023786523,0.0027666907],"genre_scores_gemma":[0.93523395,0.00022006131,0.048333395,0.00056435494,0.00005488442,0.013218458,0.0009439345,0.00008978971,0.0013411721],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9912538,0.006240601,0.0004795408,0.00045335313,0.00085377076,0.0007190053],"domain_scores_gemma":[0.96874756,0.018224092,0.0021931578,0.0032323652,0.002774768,0.0048280545],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.02638454,0.00035518184,0.0004040961,0.001018273,0.0012705002,0.0018876635,0.0010626125,0.0010276728,0.0047431486],"category_scores_gemma":[0.025883442,0.0004671639,0.00059838645,0.0008161032,0.0007052846,0.0027820335,0.0049407133,0.0009478669,0.0012336146],"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":[0.012455658,0.09491105,0.48595512,0.0025494476,0.00032318357,0.0035697964,0.033391897,0.0013211127,0.01083142,0.0042344155,0.01122686,0.33923006],"study_design_scores_gemma":[0.01102437,0.077247374,0.7215126,0.001863755,0.0006998209,0.004335853,0.07563328,0.020729948,0.011305265,0.0060489005,0.069165,0.0004339067],"about_ca_topic_score_codex":0.0014501509,"about_ca_topic_score_gemma":0.0026215296,"teacher_disagreement_score":0.99893737,"about_ca_system_score_codex":0.0006273019,"about_ca_system_score_gemma":0.0035875053,"threshold_uncertainty_score":0.1395365},"labels":[],"label_agreement":null},{"id":"W4206709971","doi":"10.2196/32162","title":"Implementation of Teleophthalmology to Improve Diabetic Retinopathy Surveillance: Qualitative Interview Study of Clinical Staff Informed by Implementation Science Frameworks","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Retinal Diseases and Treatments","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":"Reimbursement; Operationalization; Medicine; Diabetic retinopathy; Nursing; Medical education; Qualitative research; Family medicine; Health care; Diabetes mellitus; Political science","score_opus":0.04774232956748708,"score_gpt":0.5006764072310446,"score_spread":0.4529340776635575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206709971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982398,0.0007967298,0.006595297,0.00584417,0.00008426221,0.000994388,0.00011614863,0.00002902478,0.0031419676],"genre_scores_gemma":[0.9929281,0.0006836478,0.002823547,0.0012531683,0.000016522496,0.0009910117,0.00004927609,0.000020770744,0.0012338876],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.96719235,0.026355993,0.0008613554,0.0008378804,0.0013363058,0.0034160966],"domain_scores_gemma":[0.947009,0.03894717,0.003614908,0.00087189896,0.0049154162,0.00464147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04298018,0.0005631394,0.0008213444,0.0014605834,0.0073024803,0.0047166385,0.0024544063,0.0021090314,0.0016738462],"category_scores_gemma":[0.044463765,0.0010135106,0.0005473674,0.001633351,0.008536744,0.004430327,0.0056742406,0.003725611,0.00024971514],"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":[0.000027878183,0.00007303363,0.002433988,0.000111329646,0.0000034696131,0.00025081297,0.9928342,0.000046136647,0.00036068124,0.0005607231,0.00027712365,0.003020605],"study_design_scores_gemma":[0.0000064964993,0.00006762403,0.0009641747,0.00013499362,0.0000023723842,0.00006262109,0.9958727,0.00010435101,0.00016836189,0.00013864174,0.002468533,0.000009103241],"about_ca_topic_score_codex":0.011997669,"about_ca_topic_score_gemma":0.01497547,"teacher_disagreement_score":0.04298018,"about_ca_system_score_codex":0.011092306,"about_ca_system_score_gemma":0.01749583,"threshold_uncertainty_score":0.22730362},"labels":[],"label_agreement":null},{"id":"W4207069553","doi":"10.2196/26013","title":"Mobile Virtual Reality Versus Mobile 360° Video to Promote Enrollment in the Diabetes Prevention Program Among Hispanic Adults: Pilot Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","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","keywords":"Medicine; Psychological intervention; Prediabetes; Logistic regression; Risk perception; Gerontology; Type 2 diabetes; Family medicine; Perception; Diabetes mellitus; Psychology; Nursing","score_opus":0.02726288528641603,"score_gpt":0.31549445248412106,"score_spread":0.28823156719770504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207069553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967102,0.000051971692,0.00013526056,0.00006573197,0.00002339014,0.0024857086,0.00012262419,0.000010341717,0.00039486866],"genre_scores_gemma":[0.9897955,0.00029545152,0.0018670404,0.0002068608,0.000075652926,0.0066962335,0.00017498981,0.000007588802,0.00088069274],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99872774,0.00075856864,0.00007028883,0.00011291246,0.00010421097,0.00022634013],"domain_scores_gemma":[0.9977416,0.00097253366,0.00021721587,0.00013448388,0.00024355113,0.00069065305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030169496,0.0006123033,0.0007380441,0.0004989733,0.00069655816,0.0006544517,0.0006914987,0.00072974217,0.006535508],"category_scores_gemma":[0.004586275,0.00040321774,0.0010034856,0.00034734432,0.0004292504,0.0007975811,0.0007596087,0.0011880005,0.00047606684],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_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":[0.14954783,0.6421769,0.036900077,0.0015128377,0.0006590003,0.00036875598,0.005389939,0.0005584165,0.008431774,0.00027277652,0.0011745363,0.15300725],"study_design_scores_gemma":[0.03524931,0.894169,0.063470215,0.00011649065,0.00039482687,0.000062418934,0.0025852395,0.00061967457,0.0018214845,0.00009050533,0.001391832,0.0000290143],"about_ca_topic_score_codex":0.0036678258,"about_ca_topic_score_gemma":0.004181964,"teacher_disagreement_score":0.006535508,"about_ca_system_score_codex":0.00051010156,"about_ca_system_score_gemma":0.0019355798,"threshold_uncertainty_score":0.021863401},"labels":[],"label_agreement":null},{"id":"W4207071890","doi":"10.2196/27486","title":"Constructing an Adapted Cascade of Diabetes Care Using Inpatient Admissions Data: Cross-sectional Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","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 Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Glycemic; Population; Diabetes mellitus; Medical prescription; Cross-sectional study; Health care; Emergency medicine; Pediatrics; Environmental health; Nursing","score_opus":0.06121639539498856,"score_gpt":0.34537333821334576,"score_spread":0.2841569428183572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207071890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988703,0.000022213111,0.00036604513,0.000035892786,0.0000030646038,0.000118422315,0.0004519136,0.0000049542414,0.00012719819],"genre_scores_gemma":[0.99711204,0.000049110346,0.0013137003,0.000050191797,0.000007223288,0.0001520153,0.0012581641,0.000004460315,0.00005307057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.993929,0.0034484244,0.0005800768,0.00083360594,0.0007160937,0.00049274584],"domain_scores_gemma":[0.9910029,0.0021682896,0.0033327884,0.0013770505,0.0013025312,0.00081635447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006700254,0.0005276743,0.00041665055,0.0016126788,0.0007886776,0.0012577381,0.00094052433,0.000737928,0.001077457],"category_scores_gemma":[0.016765073,0.0006657578,0.0010724799,0.0024510194,0.00050196407,0.0018968333,0.0018836296,0.0012293842,0.00026726845],"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":[0.00003498975,0.00014342745,0.9982856,0.000008452416,0.000054559085,0.000023972218,0.0003829044,0.00011710507,0.00002389211,0.00002969635,0.000109809305,0.00078547734],"study_design_scores_gemma":[0.000020200376,0.00026501753,0.99331665,0.000019668556,0.00004606966,0.00009928174,0.0020100046,0.0037989318,0.00006070649,0.00008637402,0.00026334313,0.000013679004],"about_ca_topic_score_codex":0.029447163,"about_ca_topic_score_gemma":0.028471854,"teacher_disagreement_score":0.029447163,"about_ca_system_score_codex":0.0015700586,"about_ca_system_score_gemma":0.0015282553,"threshold_uncertainty_score":0.05855155},"labels":[],"label_agreement":null},{"id":"W4213081336","doi":"10.2196/27284","title":"Algorithm-Enabled, Personalized Glucose Management for Type 1 Diabetes at the Population Scale: Prospective Evaluation in Clinical Practice","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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 Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Population; Type 2 diabetes; Workload; Diabetes management; Psychological intervention; Medical record; Certification; Emergency medicine; Diabetes mellitus; Internal medicine; Computer science; Nursing","score_opus":0.046986502087398276,"score_gpt":0.41111728918599055,"score_spread":0.36413078709859226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213081336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98396295,0.0011733685,0.009150033,0.00064246036,0.000095701675,0.001985516,0.0009987005,0.00028172473,0.0017095482],"genre_scores_gemma":[0.9645176,0.0005833013,0.0316674,0.00026568773,0.00006727287,0.0015892334,0.0011315747,0.000028565839,0.00014949797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.97010875,0.0244138,0.0014276014,0.0019209422,0.0018020191,0.00032691588],"domain_scores_gemma":[0.88805497,0.07827333,0.013039551,0.007911671,0.009237264,0.0034831923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04446734,0.0007166427,0.0008875664,0.0010064658,0.00049207255,0.0018319208,0.0011223786,0.0013209136,0.0018663264],"category_scores_gemma":[0.11935763,0.0005570443,0.0014147116,0.0012885039,0.00070994906,0.0019062563,0.0015672343,0.0010375758,0.00034860277],"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":[0.038801152,0.010765889,0.70890033,0.0012566389,0.003208395,0.00015268702,0.0011811297,0.030935826,0.0005176041,0.0011250325,0.005014703,0.19814062],"study_design_scores_gemma":[0.022070827,0.11472147,0.54430836,0.0010901447,0.003877732,0.0007475904,0.0012924596,0.29880056,0.0021587347,0.0037389556,0.006925065,0.0002680485],"about_ca_topic_score_codex":0.0024199097,"about_ca_topic_score_gemma":0.0021938288,"teacher_disagreement_score":0.04446734,"about_ca_system_score_codex":0.0011196913,"about_ca_system_score_gemma":0.002957176,"threshold_uncertainty_score":0.23516864},"labels":[],"label_agreement":null},{"id":"W4213427785","doi":"10.2196/28861","title":"Integrating Multiple Inputs Into an Artificial Pancreas System: Narrative Literature Review","year":2022,"lang":"en","type":"review","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":"Australian National University","keywords":"Computer science; Artificial pancreas; Controller (irrigation); Medicine; Insulin; Type 1 diabetes; Diabetes mellitus; Internal medicine; Endocrinology; Biology","score_opus":0.052922559350085795,"score_gpt":0.3836260360126983,"score_spread":0.3307034766626125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213427785","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010235655,0.9968761,0.00032546796,0.0002752935,0.000096288546,0.00004748738,0.00010077989,0.000007177889,0.001247739],"genre_scores_gemma":[0.008666133,0.989645,0.0008675372,0.00032805788,0.000089381974,0.0000797564,0.00010269443,0.0000037926072,0.00021767296],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99788564,0.0006054969,0.000782709,0.00018041304,0.00046733813,0.000078259065],"domain_scores_gemma":[0.9888803,0.008672932,0.001315372,0.00011713835,0.00092874054,0.00008567565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023564533,0.0010319808,0.0019986997,0.00964701,0.00044792178,0.0026984056,0.0013252344,0.0014707708,0.0039767493],"category_scores_gemma":[0.011434773,0.00049037987,0.0016374305,0.013529801,0.0006504011,0.0025437546,0.0008617029,0.00061830314,0.00068776595],"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":[0.00019744561,0.00005106637,0.0010198257,0.6552409,0.001233955,0.001187365,0.0007448318,0.00053269963,0.00055508444,0.002443944,0.0060856347,0.33070728],"study_design_scores_gemma":[0.00007528811,0.00037619565,0.004593702,0.77315885,0.009056307,0.0043830317,0.0016514568,0.00046886218,0.0012221137,0.0018894416,0.20305516,0.00006954703],"about_ca_topic_score_codex":0.0027502077,"about_ca_topic_score_gemma":0.004847438,"teacher_disagreement_score":0.00964701,"about_ca_system_score_codex":0.0015223201,"about_ca_system_score_gemma":0.0048647253,"threshold_uncertainty_score":0.013303578},"labels":[],"label_agreement":null},{"id":"W4220875739","doi":"10.2196/35687","title":"Continuous Glucose Monitoring Data Sharing in Older Adults With Type 1 Diabetes: Pilot Intervention Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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 Center for Advancing Translational Sciences; Center on Aging, University of Utah; Dexcom; University of Utah","keywords":"Continuous glucose monitoring; Type 1 diabetes; Medicine; Intervention (counseling); Diabetes mellitus; Type 2 diabetes; Data sharing; Gerontology; Nursing; Endocrinology; Alternative medicine","score_opus":0.04582127899499001,"score_gpt":0.33775090122152907,"score_spread":0.29192962222653907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220875739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926938,0.00013226406,0.00016787824,0.0001722512,0.000043414413,0.006021307,0.00016972923,0.000016677312,0.0005826674],"genre_scores_gemma":[0.974837,0.0004667041,0.0031313929,0.0006216039,0.00009274357,0.01985892,0.00031864207,0.0000064781234,0.0006664749],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9966042,0.00162529,0.0003277526,0.00037138336,0.00028656257,0.0007847552],"domain_scores_gemma":[0.9948822,0.0011065531,0.00060678413,0.00035813614,0.000640574,0.0024058241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058152075,0.0008910406,0.0010994854,0.00084112777,0.0026536298,0.0010703692,0.00089665345,0.0012379693,0.0032614928],"category_scores_gemma":[0.007385764,0.00084657175,0.0016222819,0.00065693766,0.0008597485,0.0013429251,0.0024912353,0.0023514659,0.0003830748],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_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":[0.036576133,0.6048733,0.12875275,0.003451042,0.0012179475,0.0010354123,0.02677291,0.00043170972,0.0032651366,0.00035128221,0.0039961133,0.18927625],"study_design_scores_gemma":[0.07150224,0.4216479,0.47058395,0.000792712,0.0012414969,0.00034248782,0.024609143,0.0011814156,0.0010836856,0.00035479266,0.006504852,0.00015527483],"about_ca_topic_score_codex":0.008671033,"about_ca_topic_score_gemma":0.014375692,"teacher_disagreement_score":0.008671033,"about_ca_system_score_codex":0.0017058386,"about_ca_system_score_gemma":0.006442795,"threshold_uncertainty_score":0.030754149},"labels":[],"label_agreement":null},{"id":"W4220912923","doi":"10.2196/36675","title":"Managing Diabetes Using Mobiab: Long-Term Case Study of the Impact of a Mobile App on Self-management","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Research Center for Informatics, Czech Technical University in Prague","keywords":"Mobile apps; Self-management; Computer science; Psychological intervention; Preprint; Internet privacy; Diabetes mellitus; Diabetes management; World Wide Web; Medicine; Type 2 diabetes; Nursing; Artificial intelligence","score_opus":0.03520651494956003,"score_gpt":0.42398884245058355,"score_spread":0.38878232750102354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220912923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929349,0.0011288563,0.0008412654,0.0012280579,0.00007003078,0.00025906434,0.00013005806,0.000023675264,0.0033839813],"genre_scores_gemma":[0.99064684,0.001682364,0.0022219757,0.00095177244,0.0000891204,0.00031197377,0.00016936244,0.000042510215,0.0038841572],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973653,0.0011454739,0.00020191318,0.00023157033,0.0006301107,0.00042567414],"domain_scores_gemma":[0.9938432,0.0027376623,0.0009883246,0.00046761526,0.00070464105,0.0012584715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027069962,0.00042570214,0.0005187018,0.0011309352,0.0035196918,0.0022550882,0.0010806229,0.0018511632,0.0022931483],"category_scores_gemma":[0.012694988,0.00033691587,0.00087775127,0.0008736236,0.0008250558,0.0013858435,0.002257566,0.0021460473,0.0007248496],"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":[0.0014765927,0.017562015,0.44043088,0.0020143164,0.0003889816,0.13650386,0.18223993,0.00071282114,0.0039634844,0.0020474924,0.012429854,0.20022972],"study_design_scores_gemma":[0.0003789167,0.012422355,0.41859525,0.002526269,0.000842634,0.18988706,0.26487935,0.0064482125,0.0059368177,0.0016891386,0.095778085,0.0006158736],"about_ca_topic_score_codex":0.0051974957,"about_ca_topic_score_gemma":0.01044657,"teacher_disagreement_score":0.0051974957,"about_ca_system_score_codex":0.001363145,"about_ca_system_score_gemma":0.0015664316,"threshold_uncertainty_score":0.014316082},"labels":[],"label_agreement":null},{"id":"W4224307142","doi":"10.2196/33205","title":"GoFundMe as a Medical Plan: Ecological Study of Crowdfunding Insulin Success","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","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":"Popularity; Thematic analysis; Business; Insulin; Health insurance; Qualitative research; Health care; Medicine; Psychology; Economics; Economic growth; Sociology; Social psychology; Endocrinology","score_opus":0.018535777263875813,"score_gpt":0.2519443549007456,"score_spread":0.2334085776368698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224307142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966757,0.00007339456,0.00016574934,0.00059856137,0.000011075725,0.000059647973,0.00005443392,0.000005958892,0.0023554822],"genre_scores_gemma":[0.9988984,0.00010768349,0.0002486024,0.0002329462,0.000009463707,0.00008804508,0.000041200503,0.000007646626,0.00036606417],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9951557,0.0034429475,0.0001157154,0.00025584106,0.00034638905,0.00068344816],"domain_scores_gemma":[0.9855495,0.009536161,0.0022045216,0.00035369102,0.0006859334,0.0016702124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057951044,0.0002884271,0.0003281075,0.0023687908,0.005965936,0.0030530423,0.0009694933,0.0010477039,0.0027815439],"category_scores_gemma":[0.018582597,0.00040136854,0.000282692,0.0011643087,0.0058543133,0.0037722709,0.005219328,0.0017091467,0.0001862723],"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":[0.000059365833,0.0002025443,0.07471312,0.00015662803,0.000012986399,0.00043244264,0.9142065,0.00005216089,0.00036298626,0.0013702853,0.0010534233,0.0073775216],"study_design_scores_gemma":[0.000004921689,0.00006535727,0.041083183,0.00009723737,0.000004675283,0.000074793614,0.9542142,0.00022351365,0.000059712278,0.0002580632,0.0038973386,0.000016953363],"about_ca_topic_score_codex":0.023496993,"about_ca_topic_score_gemma":0.036897056,"teacher_disagreement_score":0.023496993,"about_ca_system_score_codex":0.0034407305,"about_ca_system_score_gemma":0.0029959464,"threshold_uncertainty_score":0.046720445},"labels":[],"label_agreement":null},{"id":"W4224314502","doi":"10.2196/30156","title":"Content Quality of YouTube Videos About Gestational Diabetes: Systematic Evaluation","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Health Literacy and Information Accessibility","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":"National Institute of Child Health and Human Development; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health","keywords":"Gestational diabetes; Medicine; The Internet; Pregnancy; Metric (unit); Gestation; Computer science; World Wide Web","score_opus":0.1849407842583853,"score_gpt":0.4880187241842622,"score_spread":0.30307793992587684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224314502","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059859097,0.86338776,0.002909947,0.0034976325,0.0008626613,0.036568027,0.026840894,0.00023347329,0.00584053],"genre_scores_gemma":[0.3564206,0.55757326,0.014724116,0.0031177166,0.00039315585,0.053247802,0.013180311,0.00014257996,0.0012004517],"study_design_codex":"systematic_review","study_design_gemma":"observational","domain_scores_codex":[0.95554125,0.01802323,0.016703852,0.0017199665,0.007243706,0.0007678768],"domain_scores_gemma":[0.7888631,0.13854235,0.03729827,0.0031545325,0.029975984,0.0021657485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04986892,0.0013220104,0.00784539,0.019136725,0.0011311916,0.003570085,0.0023279286,0.001395578,0.0049904934],"category_scores_gemma":[0.22722033,0.0008784726,0.007633102,0.0134047065,0.0016537335,0.004923646,0.0036803042,0.0011231444,0.00048460095],"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":[0.0022226537,0.00007860057,0.011122006,0.8640262,0.011758798,0.00015315045,0.0018590894,0.0001618162,0.00025665882,0.00024914023,0.0038479147,0.10426391],"study_design_scores_gemma":[0.001941564,0.0015182038,0.032807764,0.8902657,0.05277126,0.000356379,0.0026309337,0.00055322965,0.00049428147,0.00045781842,0.016029358,0.0001735318],"about_ca_topic_score_codex":0.019507013,"about_ca_topic_score_gemma":0.056893755,"teacher_disagreement_score":0.04986892,"about_ca_system_score_codex":0.0076887463,"about_ca_system_score_gemma":0.017945265,"threshold_uncertainty_score":0.26373523},"labels":[],"label_agreement":null},{"id":"W4225248796","doi":"10.2196/36181","title":"The Associations of COVID-19 Lockdown Restrictions With Longer-Term Activity Levels of Working Adults With Type 2 Diabetes: Cohort Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Physical Activity and Health","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":"Baker Heart and Diabetes Institute; University of Queensland; Deakin University; Diabetes Australia","keywords":"Medicine; Metabolic equivalent; Type 2 diabetes; Sitting; Pedometer; Coronavirus disease 2019 (COVID-19); Physical activity; Cohort; Demography; Diabetes mellitus; Activity monitor; Cohort study; Physical therapy; Internal medicine; Disease","score_opus":0.0622326362956292,"score_gpt":0.33301106346883363,"score_spread":0.27077842717320444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225248796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982957,0.00014569175,0.00009292695,0.000035972684,0.000011144967,0.000036973976,0.001021339,0.000002416971,0.0003577786],"genre_scores_gemma":[0.99799865,0.00014618512,0.00016925797,0.00006473312,0.000011763977,0.000076536206,0.00089257734,0.0000043824075,0.00063585094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993374,0.00010920673,0.000071629285,0.00021960074,0.00012449981,0.00013774647],"domain_scores_gemma":[0.99863225,0.000108493354,0.0004860823,0.00022879023,0.00023274448,0.00031168392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010460753,0.00029200607,0.00036799838,0.000419372,0.00072940876,0.0008978923,0.0005857565,0.0006178186,0.0017847584],"category_scores_gemma":[0.0018236325,0.00050688954,0.000799858,0.00076651,0.00020070311,0.00047404066,0.00074262323,0.001213229,0.00039836514],"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":[0.00013178171,0.00008135647,0.998616,0.000012296598,0.000110898436,0.000020329015,0.00015462308,0.000009530717,0.00015243782,0.000006887761,0.00013223983,0.0005716301],"study_design_scores_gemma":[0.000007654727,0.00009538593,0.9994141,0.000009195673,0.000041940457,0.000029383695,0.00020590064,0.000040732513,0.000016733913,0.0000038846056,0.00013252917,0.0000026219188],"about_ca_topic_score_codex":0.045816854,"about_ca_topic_score_gemma":0.0582675,"teacher_disagreement_score":0.045816854,"about_ca_system_score_codex":0.0004193088,"about_ca_system_score_gemma":0.0005295567,"threshold_uncertainty_score":0.091100335},"labels":[],"label_agreement":null},{"id":"W4225305782","doi":"10.2196/34624","title":"Effects of a Novel Blood Glucose Forecasting Feature on Glycemic Management and Logging in Adults With Type 2 Diabetes Using One Drop: Retrospective Cohort Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Glycemic; Medicine; Confounding; Diabetes mellitus; Type 2 diabetes; Cohort; Cohort study; Diabetes management; Internal medicine; Endocrinology","score_opus":0.02027748423859372,"score_gpt":0.32289557072755753,"score_spread":0.3026180864889638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225305782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986041,0.00010113836,0.000089448054,0.000040350325,0.0000130596045,0.00005862858,0.0007265462,0.000003373977,0.0003633632],"genre_scores_gemma":[0.9979558,0.00013508378,0.0002542698,0.00012001145,0.000016898837,0.00010017965,0.0008475588,0.0000059324234,0.0005642753],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990194,0.00019405132,0.00009821811,0.00028274528,0.00024157448,0.00016408265],"domain_scores_gemma":[0.99745446,0.00044616358,0.0009851452,0.00038511056,0.0004137465,0.00031528747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013597745,0.00033616397,0.00041774486,0.0005778111,0.0010498465,0.0011060891,0.00062918145,0.0007269737,0.0023236743],"category_scores_gemma":[0.004532105,0.00055390043,0.0013818924,0.0007461559,0.00024188182,0.0007751775,0.0008035965,0.0013497844,0.0005322372],"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":[0.00036615896,0.00025907462,0.9974853,0.000016769463,0.00008403945,0.000045381694,0.0001795492,0.000014683679,0.000103505336,0.000009683528,0.00020703151,0.0012287427],"study_design_scores_gemma":[0.000026395677,0.00089381944,0.9974802,0.000026396003,0.00012580141,0.00012579061,0.0006447931,0.00019956403,0.00008496658,0.000015249425,0.00036669787,0.000010336282],"about_ca_topic_score_codex":0.01904525,"about_ca_topic_score_gemma":0.021997768,"teacher_disagreement_score":0.01904525,"about_ca_system_score_codex":0.0005759737,"about_ca_system_score_gemma":0.0005957894,"threshold_uncertainty_score":0.037868798},"labels":[],"label_agreement":null},{"id":"W4225874034","doi":"10.2196/37882","title":"Evaluating the Implementation of the GREAT4Diabetes WhatsApp Chatbot to Educate People With Type 2 Diabetes During the COVID-19 Pandemic: Convergent Mixed Methods Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":50,"is_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; Universiteit Stellenbosch","keywords":"Chatbot; Medicine; Pandemic; Internet privacy; Telemedicine; Health care; Business; Nursing; Coronavirus disease 2019 (COVID-19); Computer science; World Wide Web; Political science; Infectious disease (medical specialty); Disease; Pathology","score_opus":0.11498440101804479,"score_gpt":0.5388797006575031,"score_spread":0.4238952996394583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225874034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99045056,0.00012187303,0.0013442283,0.00034384622,0.000036777154,0.0058926954,0.00019171016,0.000020855265,0.0015975221],"genre_scores_gemma":[0.9570042,0.00042146022,0.015763545,0.0007779976,0.000039713213,0.024471423,0.00031229563,0.00003088055,0.0011785083],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.97878635,0.015344908,0.0015140629,0.0009211451,0.001926114,0.0015074627],"domain_scores_gemma":[0.939797,0.03752102,0.0055891,0.002568282,0.011070672,0.0034539893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.052246094,0.00072681543,0.0011438205,0.001394911,0.0031206936,0.0030192824,0.0019036045,0.001288474,0.0025465994],"category_scores_gemma":[0.06857709,0.00084894185,0.0012176028,0.0011531936,0.0019297106,0.0027897828,0.0038929603,0.0021180897,0.0004426474],"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":[0.0040192246,0.027519995,0.17264104,0.008537098,0.0005383867,0.0010913779,0.54916704,0.0016693694,0.004207077,0.0026550295,0.0031977044,0.22475667],"study_design_scores_gemma":[0.0023931717,0.040577054,0.3080632,0.006269126,0.0010038181,0.00032020177,0.6019717,0.009229684,0.007159144,0.0022925814,0.020280287,0.00044010408],"about_ca_topic_score_codex":0.005768855,"about_ca_topic_score_gemma":0.011332256,"teacher_disagreement_score":0.052246094,"about_ca_system_score_codex":0.00561949,"about_ca_system_score_gemma":0.01153116,"threshold_uncertainty_score":0.27630705},"labels":[],"label_agreement":null},{"id":"W4226069305","doi":"10.2196/34681","title":"Identifying Patients With Hypoglycemia Using Natural Language Processing: Systematic Literature Review","year":2022,"lang":"en","type":"review","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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 Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Hypoglycemia; PsycINFO; Medicine; Artificial intelligence; CINAHL; Natural language processing; Machine learning; MEDLINE; Computer science; Pediatrics; Internal medicine; Psychiatry","score_opus":0.038845221896742686,"score_gpt":0.3681025190598333,"score_spread":0.32925729716309066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226069305","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019161046,0.99483126,0.00038217744,0.0005482388,0.00014425757,0.00084745634,0.0008982276,0.000019271687,0.00041307395],"genre_scores_gemma":[0.019005183,0.9763431,0.0013181415,0.0010660526,0.00009878273,0.0015159429,0.0005152112,0.000009515996,0.00012802234],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9899329,0.0034109387,0.0041048713,0.00071596575,0.0015875739,0.00024782764],"domain_scores_gemma":[0.94127756,0.04390932,0.009427305,0.0007030368,0.0043296716,0.00035306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009891981,0.0015723425,0.006269777,0.012225712,0.0007016162,0.0025589108,0.0024342767,0.0018331821,0.005578089],"category_scores_gemma":[0.06607188,0.00096421776,0.0072379154,0.011529079,0.0010399296,0.0033003623,0.0018435374,0.0012827934,0.00044194178],"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":[0.00007903805,0.000013955357,0.0006947209,0.97204214,0.0036738168,0.0001011812,0.00023992395,0.00007736458,0.000061545565,0.00012045039,0.0011988118,0.021697057],"study_design_scores_gemma":[0.00012170719,0.000115258634,0.0021217633,0.96104586,0.027040917,0.00033439806,0.00040646497,0.00007303807,0.00009386166,0.00025056116,0.0083671305,0.000028972325],"about_ca_topic_score_codex":0.008076373,"about_ca_topic_score_gemma":0.022109516,"teacher_disagreement_score":0.012225712,"about_ca_system_score_codex":0.004163742,"about_ca_system_score_gemma":0.017187532,"threshold_uncertainty_score":0.05231446},"labels":[],"label_agreement":null},{"id":"W4226087741","doi":"10.2196/36140","title":"Accessibility and Openness to Diabetes Management Support With Mobile Phones: Survey Study of People With Type 1 Diabetes Using Advanced Diabetes Technologies","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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 Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; Center for Clinical and Translational Research; Michigan Institute for Clinical and Health Research; University of Michigan; Health Services Research and Development","keywords":"mHealth; Glycemic; Openness to experience; Diabetes mellitus; Type 2 diabetes; Medicine; Medical record; Telemedicine; Short Message Service; Psychology; Health care; Computer science; Nursing; Psychological intervention; Social psychology; Internal medicine; Telecommunications","score_opus":0.03490173258592531,"score_gpt":0.3929945128006057,"score_spread":0.3580927802146804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226087741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99940157,0.000068195186,0.000038862043,0.000046357003,0.0000022399654,0.000020633139,0.00016161756,9.77975e-7,0.000259455],"genre_scores_gemma":[0.9994475,0.00011836628,0.000090927235,0.00008181387,0.000005376208,0.000035883848,0.000108513195,8.938667e-7,0.00011068224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917716,0.00028337876,0.00014037592,0.00009684244,0.00018209672,0.00011999835],"domain_scores_gemma":[0.9973917,0.00070814905,0.0011161442,0.000098275654,0.0002908417,0.00039491185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00130882,0.00015326515,0.00030321383,0.0009023529,0.0006111935,0.0007806813,0.0002897506,0.00054522156,0.0016849379],"category_scores_gemma":[0.0032827149,0.0003383439,0.0005092752,0.0010388264,0.00031177944,0.0010668188,0.00077834696,0.0007192084,0.00031073994],"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":[0.000030517496,0.00010490206,0.99588275,0.000034055087,0.000023969273,0.00004310747,0.0019860803,0.000012338182,0.000119629396,0.000009702053,0.0000757811,0.0016772328],"study_design_scores_gemma":[0.000007850865,0.00029834206,0.99144393,0.000030323728,0.00001753577,0.0002014683,0.0075154877,0.00010588978,0.000043129752,0.000013874558,0.00031508945,0.000007001734],"about_ca_topic_score_codex":0.0060557853,"about_ca_topic_score_gemma":0.007914181,"teacher_disagreement_score":0.0060557853,"about_ca_system_score_codex":0.00032683127,"about_ca_system_score_gemma":0.00032770706,"threshold_uncertainty_score":0.012041032},"labels":[],"label_agreement":null},{"id":"W4226275330","doi":"10.2196/34699","title":"Type 1 Diabetes Hypoglycemia Prediction Algorithms: Systematic Review","year":2022,"lang":"en","type":"review","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":"","keywords":"Hypoglycemia; Glycemic; Machine learning; Medicine; Algorithm; Artificial intelligence; Diabetes mellitus; Intensive care medicine; Computer science; Systematic review; MEDLINE; Endocrinology","score_opus":0.06058395438369729,"score_gpt":0.3623494553863877,"score_spread":0.3017655010026904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226275330","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00076108536,0.99458754,0.0016765922,0.00037382543,0.0001412036,0.00058892264,0.0014506361,0.000071149734,0.0003490536],"genre_scores_gemma":[0.020085756,0.97026134,0.006082418,0.000644732,0.00018160777,0.0012098079,0.001357198,0.000028957074,0.00014805922],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9906234,0.0037066592,0.0031033345,0.0008880931,0.001512927,0.00016562801],"domain_scores_gemma":[0.9502039,0.041485704,0.0047194823,0.0006269993,0.0027374167,0.00022638221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012978729,0.002300639,0.009156107,0.0079224855,0.00049640867,0.002732384,0.002820846,0.0014688825,0.0060852002],"category_scores_gemma":[0.07267102,0.0011856705,0.01599952,0.0070008775,0.0005443878,0.0022453854,0.0014694675,0.0018491467,0.00052373274],"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":[0.0003900804,0.000044661687,0.0015526186,0.85012865,0.02806395,0.0000611979,0.000092325114,0.00176186,0.000066088214,0.00035582404,0.0031806543,0.11430207],"study_design_scores_gemma":[0.0008406139,0.00041717116,0.0049189567,0.7492533,0.21142039,0.0003988788,0.00014140639,0.0025793728,0.0003106175,0.0020314425,0.027557833,0.00013008146],"about_ca_topic_score_codex":0.009362362,"about_ca_topic_score_gemma":0.014239523,"teacher_disagreement_score":0.012978729,"about_ca_system_score_codex":0.0023609991,"about_ca_system_score_gemma":0.010479356,"threshold_uncertainty_score":0.06863892},"labels":[],"label_agreement":null},{"id":"W4229025008","doi":"10.2196/37534","title":"Community Health Worker-Led mHealth-Enabled Diabetes Self-management Education and Support Intervention in Rural Latino Adults: Single-Arm Feasibility Trial","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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 Institute of Diabetes and Digestive and Kidney Diseases","keywords":"mHealth; Medicine; Intervention (counseling); Community health; Diabetes mellitus; Gerontology; Health education; Rural community; Physical therapy; Public health; Nursing; Psychological intervention; Demography","score_opus":0.020216420855709558,"score_gpt":0.31663907276270664,"score_spread":0.29642265190699707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229025008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9628915,0.0007708536,0.00051262754,0.0005098307,0.00020000494,0.033208046,0.00054797984,0.000077670935,0.0012814398],"genre_scores_gemma":[0.9372731,0.0009007182,0.003600175,0.0010538138,0.00020894615,0.054407235,0.00042189128,0.000013655296,0.0021204602],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9987734,0.0005640349,0.00010366994,0.00018841181,0.00009883372,0.0002716084],"domain_scores_gemma":[0.9988217,0.00024877087,0.00023209679,0.00008690334,0.00014681235,0.00046372743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033629842,0.0013576535,0.0016233433,0.0004909341,0.0010023115,0.0010959968,0.0009831492,0.0019338874,0.0062199747],"category_scores_gemma":[0.002403212,0.0006976687,0.0021413788,0.00036780548,0.00090026006,0.0010361869,0.0010287586,0.0018157667,0.000797434],"study_design_candidate":"nonrandomized_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":[0.67854017,0.23787162,0.00759714,0.0032517207,0.0020263328,0.00019000603,0.0010132655,0.00062718644,0.0046862997,0.00021484128,0.0013958086,0.06258573],"study_design_scores_gemma":[0.70969063,0.27148497,0.0150257815,0.00031396677,0.00081884855,0.000032180593,0.00045445428,0.0004962224,0.00058483117,0.00017505925,0.00089782395,0.000025194651],"about_ca_topic_score_codex":0.004782738,"about_ca_topic_score_gemma":0.007867166,"teacher_disagreement_score":0.0062199747,"about_ca_system_score_codex":0.0011638823,"about_ca_system_score_gemma":0.0037090904,"threshold_uncertainty_score":0.020807922},"labels":[],"label_agreement":null},{"id":"W4229378489","doi":"10.2196/35163","title":"Acceptance and Effect of Continuous Glucose Monitoring on Discharge From Hospital in Patients With Type 2 Diabetes: Open-label, Prospective, Controlled Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","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":"Medicine; Glycemic; Continuous glucose monitoring; Informed consent; Diabetes mellitus; Emergency medicine; Type 1 diabetes; Type 2 diabetes; Intervention (counseling); Randomized controlled trial; Surgery; Nursing; Alternative medicine","score_opus":0.0074668604405480786,"score_gpt":0.27361211541965924,"score_spread":0.2661452549791112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229378489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956053,0.0009024895,0.00028469463,0.00009617359,0.00011791619,0.0022287124,0.00027283418,0.000022564442,0.0004691203],"genre_scores_gemma":[0.99212027,0.00097271876,0.0010146963,0.00035004687,0.00038045016,0.0040794886,0.00041402844,0.000008388407,0.0006599617],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99612904,0.0021739057,0.00041862385,0.0005407495,0.00043101335,0.0003066356],"domain_scores_gemma":[0.988846,0.0046479153,0.0030068236,0.0010817702,0.00073911797,0.0016783698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064249933,0.0015806155,0.0033376303,0.0005556682,0.0010162062,0.001593683,0.0010527902,0.0025430927,0.0048427293],"category_scores_gemma":[0.008253882,0.00087582984,0.0025067148,0.0007914761,0.0021656633,0.0017689359,0.0007440162,0.003282178,0.0006600551],"study_design_candidate":"nonrandomized_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":[0.86104536,0.108309716,0.012179472,0.0008612961,0.0012788675,0.00006431113,0.00036340384,0.00018233978,0.0012066886,0.000045786408,0.00033218384,0.0141305905],"study_design_scores_gemma":[0.3753668,0.587137,0.0350452,0.00008094618,0.0007786943,0.000042183223,0.0001806144,0.0004907076,0.00039036604,0.00008119142,0.00035911074,0.000047221165],"about_ca_topic_score_codex":0.0011934817,"about_ca_topic_score_gemma":0.0016446038,"teacher_disagreement_score":0.0064249933,"about_ca_system_score_codex":0.00097200065,"about_ca_system_score_gemma":0.0016901941,"threshold_uncertainty_score":0.033979},"labels":[],"label_agreement":null},{"id":"W4239730606","doi":"10.2196/12784","title":"Correction: A Feasible and Efficacious Mobile-Phone Based Lifestyle Intervention for Filipino Americans with Type 2 Diabetes: Randomized Controlled Trial","year":2018,"lang":"en","type":"erratum","venue":"JMIR Diabetes","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":"","keywords":"Type 2 diabetes; Mobile phone; Randomized controlled trial; Intervention (counseling); Medicine; Diabetes mellitus; Psychology; Physical therapy; Computer science; Gerontology; Internal medicine; Nursing; Endocrinology; Telecommunications","score_opus":0.02022859208570029,"score_gpt":0.37509012420028426,"score_spread":0.354861532114584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239730606","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003504796,0.0043596104,0.00067884766,0.12277467,0.8624163,0.0003144069,0.006012932,0.00040597396,0.002686804],"genre_scores_gemma":[0.032646798,0.017728822,0.009401796,0.45681167,0.37020832,0.0039949096,0.0058520553,0.0013586408,0.10199698],"study_design_codex":"not_applicable","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9886286,0.0038394844,0.0022807168,0.0010900565,0.003442604,0.0007185374],"domain_scores_gemma":[0.94676685,0.029032433,0.0038519597,0.001793625,0.01703916,0.0015159517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014727971,0.0029816378,0.0034576466,0.002240932,0.0025030382,0.0034968243,0.0037645411,0.009707124,0.052190036],"category_scores_gemma":[0.17811923,0.0012279003,0.0037154441,0.0020271074,0.0019492584,0.0018185775,0.0012976595,0.010100628,0.010914068],"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":[0.00042052026,0.000017402881,0.00010055905,0.0011824381,0.00011695374,0.00014569378,0.000025308706,0.00003700723,0.000025356469,0.00051843503,0.9916447,0.0057656677],"study_design_scores_gemma":[0.008883598,0.00045099875,0.0038651845,0.014360342,0.002664683,0.0009415847,0.00020517282,0.0011549174,0.00077698304,0.0043008854,0.9621377,0.00025798817],"about_ca_topic_score_codex":0.025771441,"about_ca_topic_score_gemma":0.030850176,"teacher_disagreement_score":0.052190036,"about_ca_system_score_codex":0.0057134493,"about_ca_system_score_gemma":0.009763244,"threshold_uncertainty_score":0.17459309},"labels":[],"label_agreement":null},{"id":"W4281390174","doi":"10.2196/31832","title":"Evaluation of Self-care Activities and Quality of Life in Patients With Type 2 Diabetes Treated With Metformin Using the 2D Matrix Code of Outer Drug Packages as Patient Identifier: the DePRO Proof-of-Concept Observational Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Bayer Vital; Bayer","keywords":"Medicine; Usability; Medical prescription; Pharmacist; Quality of life (healthcare); Type 2 Diabetes Mellitus; Metformin; Diabetes mellitus; Family medicine; Pharmacy; Computer science; Nursing","score_opus":0.10012218641674493,"score_gpt":0.42493894736516435,"score_spread":0.32481676094841944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281390174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99703646,0.00023203551,0.00026952013,0.000060480343,0.000014355589,0.0010574373,0.0008468437,0.0000049729256,0.00047778914],"genre_scores_gemma":[0.9922706,0.00028404917,0.0022397153,0.0002588039,0.000055865694,0.0029961085,0.0013987472,0.0000066310554,0.00048960344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838805,0.0008196314,0.00016901393,0.00022696573,0.00022095052,0.0001754225],"domain_scores_gemma":[0.9949549,0.0010517328,0.0018734179,0.00042470935,0.00074856676,0.0009467397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032687539,0.0005827792,0.000916016,0.00057116436,0.00084826536,0.00087061874,0.0005308623,0.0007404947,0.0023963067],"category_scores_gemma":[0.0046733064,0.0004689517,0.0015686301,0.0004815111,0.00057538063,0.00075920054,0.0011359364,0.0013467586,0.000561854],"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":[0.03324031,0.049187157,0.8747143,0.0013305097,0.0016401899,0.00032674414,0.002203802,0.0005045984,0.002259621,0.0002278613,0.0027182212,0.031646695],"study_design_scores_gemma":[0.0071680318,0.08561502,0.8956098,0.00026406153,0.00092359126,0.0005134906,0.0022718958,0.0014319399,0.0012803421,0.00015892154,0.004625039,0.00013792208],"about_ca_topic_score_codex":0.0019423511,"about_ca_topic_score_gemma":0.002740866,"teacher_disagreement_score":0.0032687539,"about_ca_system_score_codex":0.0007620593,"about_ca_system_score_gemma":0.0014111841,"threshold_uncertainty_score":0.017287016},"labels":[],"label_agreement":null},{"id":"W4281477033","doi":"10.2196/34561","title":"Implementing the Digital Diabetes Questionnaire as a Clinical Tool in Routine Diabetes Care: Focus Group Discussions With Patients and Health Care Professionals","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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":"Focus group; Medicine; Diabetes mellitus; Family medicine; Qualitative research; Health care; Nursing","score_opus":0.012514815911971757,"score_gpt":0.3322188250813767,"score_spread":0.31970400916940495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281477033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935454,0.0003048238,0.0018171993,0.0013967461,0.0000689912,0.0012296888,0.00006395378,0.000019451807,0.0015538245],"genre_scores_gemma":[0.99206597,0.0005704259,0.00300208,0.0011727416,0.00007507561,0.0020806822,0.000051946605,0.000014068364,0.00096705946],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.98501587,0.011663422,0.00050147675,0.0007152991,0.0005672998,0.0015365814],"domain_scores_gemma":[0.9609146,0.032803953,0.0016706281,0.0006107186,0.0016799282,0.0023201797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024921505,0.0009890123,0.00088460674,0.0015174167,0.0070630433,0.0022299646,0.0017286103,0.0023938664,0.0029033357],"category_scores_gemma":[0.026448991,0.00075702526,0.00055436156,0.00094181346,0.005149942,0.0028998014,0.0071180644,0.002403467,0.0002995555],"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":[0.00017062642,0.0002973426,0.0039237253,0.00030853524,0.000010272118,0.00053669844,0.9817316,0.00004305858,0.0017672945,0.0002462512,0.00045250216,0.010511975],"study_design_scores_gemma":[0.0001167209,0.0010861998,0.005193194,0.0003110952,0.0000307245,0.00036517382,0.98533547,0.00018257776,0.0013424343,0.00027282521,0.005722034,0.000041583484],"about_ca_topic_score_codex":0.0023958918,"about_ca_topic_score_gemma":0.003694476,"teacher_disagreement_score":0.024921505,"about_ca_system_score_codex":0.0037484446,"about_ca_system_score_gemma":0.0042900327,"threshold_uncertainty_score":0.1317991},"labels":[],"label_agreement":null},{"id":"W4281743676","doi":"10.2196/35664","title":"Informing a Randomized Control Trial in Rural Populations: Adaptation of a Diabetes Self-Management Education and Support Intervention","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management 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":"National Institute of Nursing Research; National Institutes of Health","keywords":"Participatory action research; Context (archaeology); Intervention (counseling); Medical education; Medicine; Nursing; Psychology; Geography; Sociology","score_opus":0.010885464060523842,"score_gpt":0.2835314473569398,"score_spread":0.272645983296416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281743676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7657152,0.003241238,0.011436846,0.0073309783,0.004158835,0.19847354,0.0010929622,0.0009278403,0.007622623],"genre_scores_gemma":[0.7304595,0.0012102909,0.032343004,0.0037769636,0.0007861349,0.22863258,0.00046438104,0.000037930226,0.0022891932],"study_design_codex":"randomized_trial","study_design_gemma":"qualitative","domain_scores_codex":[0.97035,0.024548652,0.0017621621,0.001717783,0.0007408985,0.0008804086],"domain_scores_gemma":[0.9861486,0.008049127,0.0021579668,0.0012107625,0.0007617858,0.0016717768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02288081,0.0017189762,0.0024915827,0.0012001935,0.0018431083,0.0015407915,0.0017916935,0.0036159512,0.010747992],"category_scores_gemma":[0.03165979,0.00078876107,0.002664552,0.0011185543,0.0018733373,0.0021505367,0.0021036763,0.0036477507,0.00077906647],"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":[0.7516029,0.08442003,0.003974113,0.005774043,0.0032831994,0.0003406304,0.002213458,0.0029648326,0.0017134007,0.0024423576,0.004725612,0.13654539],"study_design_scores_gemma":[0.9100033,0.0803523,0.0030852505,0.0004218777,0.0008582941,0.000031163057,0.00030647888,0.0014528903,0.00027720237,0.0011732765,0.0020042572,0.000033815926],"about_ca_topic_score_codex":0.0024943752,"about_ca_topic_score_gemma":0.0028263342,"teacher_disagreement_score":0.02288081,"about_ca_system_score_codex":0.0019991267,"about_ca_system_score_gemma":0.005755816,"threshold_uncertainty_score":0.12100673},"labels":[],"label_agreement":null},{"id":"W4283274605","doi":"10.2196/33264","title":"Smartphone Apps for Diabetes Medication Adherence: Systematic Review","year":2022,"lang":"en","type":"review","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Medical Research Council; Deakin University; National Health and Medical Research Council; Capstone Editing; National Heart Foundation of Australia","keywords":"Diabetes mellitus; Smartphone app; Mobile apps; Medication adherence; Medicine; App store; Rating scale; Android (operating system); Scale (ratio); Computer science; Psychology; Internet privacy; World Wide Web; Internal medicine","score_opus":0.11775944188916333,"score_gpt":0.49213026250523734,"score_spread":0.374370820616074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283274605","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011784299,0.9972235,0.00012504272,0.0002238055,0.000113707734,0.00037853324,0.00038290746,0.000012969895,0.00036111285],"genre_scores_gemma":[0.012169953,0.9858167,0.00064813386,0.00034988413,0.000094727504,0.00053133286,0.00024856374,0.0000057477246,0.00013505983],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99454933,0.001706649,0.0017903558,0.00033851323,0.0014439553,0.00017120047],"domain_scores_gemma":[0.96626276,0.024367943,0.0054279934,0.00033914595,0.0032595196,0.00034261265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005035208,0.0014056815,0.0047782096,0.008880878,0.0007436214,0.002019015,0.0015898946,0.0015250776,0.0056286827],"category_scores_gemma":[0.038292583,0.0007108431,0.0061531644,0.00836688,0.00067655946,0.0021511447,0.0014129161,0.0012445048,0.0004665627],"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":[0.00016832812,0.000032279197,0.0010240669,0.90963364,0.0032173614,0.00009635088,0.00026786045,0.00007007617,0.00009483539,0.00015333305,0.0029217,0.0823202],"study_design_scores_gemma":[0.00017458473,0.0002164525,0.00565579,0.9484444,0.025851667,0.00034819814,0.0002783584,0.00010344592,0.00012535616,0.00019473361,0.01857562,0.000031397107],"about_ca_topic_score_codex":0.007857721,"about_ca_topic_score_gemma":0.021852521,"teacher_disagreement_score":0.008880878,"about_ca_system_score_codex":0.002165932,"about_ca_system_score_gemma":0.008996165,"threshold_uncertainty_score":0.02662903},"labels":[],"label_agreement":null},{"id":"W4283814285","doi":"10.2196/32366","title":"Machine Learning–Derived Prenatal Predictive Risk Model to Guide Intervention and Prevent the Progression of Gestational Diabetes Mellitus to Type 2 Diabetes: Prediction Model Development Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Gestational Diabetes Research and Management","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 Medical Research Council; Medical Research Council; National Institute for Health Research Southampton Biomedical Research Centre; National University Health System; National Research Foundation; Agency for Science, Technology and Research; British Heart Foundation; National Institute for Health and Care Research","keywords":"Gestational diabetes; Medicine; Machine learning; Population; Psychological intervention; Artificial intelligence; Predictive analytics; Logistic regression; Pregnancy; Computer science; Nursing; Environmental health; Gestation","score_opus":0.01652511738049287,"score_gpt":0.31008006028254625,"score_spread":0.29355494290205336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283814285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6557521,0.0011179367,0.33458668,0.0018567257,0.000108881744,0.00035402758,0.0010613183,0.00060257677,0.0045597395],"genre_scores_gemma":[0.9617334,0.0002404958,0.0355206,0.00015064374,0.000026702803,0.0001798568,0.00069602905,0.000021073069,0.0014312956],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994628,0.00030723435,0.000022287417,0.0000915182,0.000047394697,0.000068775764],"domain_scores_gemma":[0.9929807,0.0058411183,0.00022732194,0.00014686222,0.0006618125,0.00014222595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032027282,0.00075578253,0.00087421114,0.0007375888,0.00037200376,0.0006576242,0.0008117804,0.00076917344,0.0021712738],"category_scores_gemma":[0.008600028,0.00027869735,0.00082730036,0.0003948153,0.00026347785,0.00044848508,0.000760104,0.0014841718,0.00023431201],"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":[0.00018251431,0.00022645945,0.01796384,0.00003749802,0.00011209059,0.00009434232,0.000050872124,0.94992274,0.00015763109,0.0018528024,0.0010861319,0.028313003],"study_design_scores_gemma":[0.000005424128,0.000023064695,0.0003817068,0.0000037914144,0.0000062504314,0.0000041708945,0.0000045790753,0.99918073,0.000038909926,0.00030483562,0.000044895678,0.0000015779921],"about_ca_topic_score_codex":0.024160683,"about_ca_topic_score_gemma":0.01165935,"teacher_disagreement_score":0.024160683,"about_ca_system_score_codex":0.0011257054,"about_ca_system_score_gemma":0.0017799897,"threshold_uncertainty_score":0.048040092},"labels":[],"label_agreement":null},{"id":"W4285333922","doi":"10.2196/34650","title":"Exploring the Experiences and Perspectives of Insulin Therapy in Type 2 Diabetes via Web-Based UK Diabetes Health Forums: Qualitative Thematic Analysis of Threads","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management 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":"Thematic analysis; Type 2 diabetes; Medicine; Empowerment; Diabetes management; Health care; Inclusion (mineral); Qualitative research; Nursing; Diabetes mellitus; Family medicine; Psychology; Social psychology; Sociology; Political science","score_opus":0.08403318542220936,"score_gpt":0.35193646771127635,"score_spread":0.267903282289067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285333922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99012893,0.00081657077,0.002362356,0.0021738403,0.00012739465,0.0002632363,0.00031310506,0.00002244251,0.0037921125],"genre_scores_gemma":[0.9955265,0.00059870107,0.0015984359,0.0003925681,0.000044390195,0.0003837122,0.00012880069,0.00003314943,0.0012937863],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9847178,0.011724279,0.0005752998,0.00060989667,0.0010713864,0.0013012927],"domain_scores_gemma":[0.9477672,0.043550815,0.003189174,0.000810774,0.0019435358,0.0027385044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016044354,0.0006632866,0.0007887712,0.003093707,0.005695612,0.0058006095,0.0014592675,0.001964624,0.0025027702],"category_scores_gemma":[0.03669421,0.0005977842,0.0005697401,0.0031597293,0.006311944,0.005863968,0.008390477,0.0023679617,0.00023031012],"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":[0.000050251023,0.000014896278,0.0032639722,0.00016834335,0.000004805797,0.00041181105,0.99079376,0.000024868232,0.00043441568,0.00067801756,0.0003468481,0.0038080649],"study_design_scores_gemma":[0.0000069083094,0.000034029716,0.0038726742,0.00028336077,0.000005459073,0.00016653154,0.9872995,0.00015276199,0.00017590143,0.00039303774,0.007591756,0.000018045348],"about_ca_topic_score_codex":0.005723719,"about_ca_topic_score_gemma":0.006571838,"teacher_disagreement_score":0.016044354,"about_ca_system_score_codex":0.0052141068,"about_ca_system_score_gemma":0.0033528095,"threshold_uncertainty_score":0.08485162},"labels":[],"label_agreement":null},{"id":"W4285367533","doi":"10.2196/33401","title":"Effectiveness of a Diabetes-Focused Electronic Discharge Order Set and Postdischarge Nursing Support Among Poorly Controlled Hospitalized Patients: Randomized Controlled Trial","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","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 Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Diabetes mellitus; Glycated hemoglobin; Randomized controlled trial; Medical prescription; Type 2 diabetes; Diabetes management; Type 2 Diabetes Mellitus; Emergency medicine; Pediatrics; Internal medicine; Nursing","score_opus":0.00485528880277183,"score_gpt":0.25758367750950467,"score_spread":0.25272838870673286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285367533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980717,0.008542596,0.00069389836,0.0008771539,0.0011756616,0.0057442077,0.0007595743,0.00009578615,0.0013942168],"genre_scores_gemma":[0.9821666,0.0037179242,0.001982161,0.0011359864,0.0009877484,0.008207712,0.0004882868,0.000012596246,0.0013010623],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99747556,0.0014527215,0.00029612874,0.00035483058,0.00017646705,0.0002442984],"domain_scores_gemma":[0.9964324,0.001575538,0.0008305808,0.00022444948,0.00019285659,0.0007441395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002723335,0.0012814782,0.004785233,0.00070942834,0.0005968462,0.0014790123,0.0013587757,0.0029827112,0.0051663686],"category_scores_gemma":[0.005406936,0.00076612266,0.0030688185,0.0006787524,0.001208834,0.0012266278,0.0007398098,0.0030500975,0.00041487065],"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":[0.9843562,0.006661668,0.00046468075,0.0007858467,0.0013620057,0.000015279926,0.000022449887,0.00011122529,0.00021121891,0.00003591202,0.00015966648,0.00581376],"study_design_scores_gemma":[0.97092897,0.026816644,0.00087575393,0.00007691578,0.00082693994,0.0000063847847,0.000016123762,0.00021460597,0.00007292617,0.00005202308,0.00010458112,0.000008134411],"about_ca_topic_score_codex":0.0020525048,"about_ca_topic_score_gemma":0.0032848858,"teacher_disagreement_score":0.0051663686,"about_ca_system_score_codex":0.0012078714,"about_ca_system_score_gemma":0.0017737766,"threshold_uncertainty_score":0.01728326},"labels":[],"label_agreement":null},{"id":"W4288076254","doi":"10.2196/28153","title":"Diabetes Self-management Apps: Systematic Review of Adoption Determinants and Future Research Agenda","year":2022,"lang":"en","type":"review","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":50,"is_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; Self-management; Scopus; Thematic analysis; Diabetes management; Medicine; MEDLINE; Mobile apps; Credibility; App store; Inclusion (mineral); Psychology; Diabetes mellitus; Psychological intervention; Nursing; Type 2 diabetes; Qualitative research; World Wide Web; Computer science; Social psychology","score_opus":0.11897249610361915,"score_gpt":0.5034306586206219,"score_spread":0.3844581625170027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288076254","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015403528,0.9966108,0.00017767285,0.0004569154,0.00009128299,0.0004991884,0.00028556,0.0000072630255,0.0003308857],"genre_scores_gemma":[0.0134764565,0.9835518,0.000956875,0.00045652263,0.00005176808,0.0012204888,0.00019917557,0.0000050500794,0.00008186014],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.984395,0.005778786,0.0057457318,0.00080038403,0.0027996479,0.00048042534],"domain_scores_gemma":[0.89850384,0.07969304,0.012279227,0.0009113984,0.0079817735,0.0006308203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025201907,0.0014160897,0.0075395377,0.013192743,0.00083613175,0.0038629398,0.0018801786,0.0017167422,0.0036714522],"category_scores_gemma":[0.088470854,0.0013199132,0.008812762,0.016416786,0.0009863484,0.003983392,0.0020573314,0.0019491888,0.0002792096],"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":[0.00012671114,0.000034358174,0.0014074504,0.9289245,0.0045700567,0.000079582205,0.00054385135,0.000068508954,0.00006415207,0.00031296647,0.0011171292,0.06275065],"study_design_scores_gemma":[0.00011456877,0.0001362205,0.0044331425,0.95654994,0.027377808,0.00014789638,0.0006160637,0.00006975653,0.00008402031,0.00025249025,0.010194245,0.00002385195],"about_ca_topic_score_codex":0.012685734,"about_ca_topic_score_gemma":0.03474708,"teacher_disagreement_score":0.025201907,"about_ca_system_score_codex":0.0050897417,"about_ca_system_score_gemma":0.02644073,"threshold_uncertainty_score":0.133282},"labels":[],"label_agreement":null},{"id":"W4292209785","doi":"10.2196/40377","title":"Effects of a Digital Patient Empowerment and Communication Tool on Metabolic Control in People With Type 2 Diabetes: The DeMpower Multicenter Ambispective Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Glycemic; Medicine; Observational study; Empowerment; Type 2 Diabetes Mellitus; Diabetes mellitus; Telemedicine; Metabolic control analysis; Type 2 diabetes; Telehealth; Patient Empowerment; Health care; Internal medicine","score_opus":0.007781929765587627,"score_gpt":0.32250863558450976,"score_spread":0.31472670581892215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292209785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99839884,0.00018130807,0.000087123495,0.0001002901,0.000028071649,0.0006496199,0.00018027943,0.0000055200762,0.0003688619],"genre_scores_gemma":[0.99430686,0.000349675,0.00097181933,0.0003148869,0.00017700481,0.0030550023,0.00035782787,0.000004600965,0.0004623435],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.99601644,0.0028716647,0.00026762212,0.00028443217,0.00028664578,0.0002731411],"domain_scores_gemma":[0.9950388,0.002022366,0.0008924671,0.00058470404,0.000388596,0.0010730615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005830036,0.0008254057,0.00091111107,0.00053392,0.00076343596,0.00078894634,0.00046008173,0.0008331371,0.0023826407],"category_scores_gemma":[0.0066549685,0.00042180988,0.0018621314,0.00046217558,0.0006863876,0.00089579995,0.0012297309,0.0010779948,0.0002372728],"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":[0.44308278,0.27752462,0.17415042,0.0012521045,0.0035115115,0.0002469491,0.0022044976,0.00061857176,0.003160701,0.00026333058,0.0020123639,0.09197209],"study_design_scores_gemma":[0.111892655,0.643623,0.23514941,0.00017506533,0.0025613003,0.00014771476,0.0010938031,0.0008952367,0.0017116144,0.0001841328,0.0024819684,0.000084137246],"about_ca_topic_score_codex":0.0012174497,"about_ca_topic_score_gemma":0.0013968971,"teacher_disagreement_score":0.005830036,"about_ca_system_score_codex":0.00049892045,"about_ca_system_score_gemma":0.0011556003,"threshold_uncertainty_score":0.030832529},"labels":[],"label_agreement":null},{"id":"W4293585028","doi":"10.2196/38910","title":"Smartphone Apps for Surveillance of Gestational Diabetes: Scoping Review","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"mHealth; Gestational diabetes; Medicine; Categorization; Glycemic; Data extraction; Telemedicine; Systematic review; MEDLINE; Health care; Computer science; Psychological intervention; Nursing; Diabetes mellitus; Pregnancy","score_opus":0.05109449095583635,"score_gpt":0.44133708192643195,"score_spread":0.3902425909705956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293585028","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00037066184,0.99697816,0.00032437762,0.00038301223,0.00020863274,0.00079662184,0.00038444166,0.00001582078,0.0005382824],"genre_scores_gemma":[0.0035205565,0.99368095,0.0008000513,0.00036143686,0.00008603913,0.0011371233,0.00027642783,0.0000073185233,0.00012997928],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.98719585,0.0035734258,0.005787705,0.0007755762,0.0023300028,0.00033736712],"domain_scores_gemma":[0.9271227,0.05150637,0.011565019,0.0012590283,0.008034703,0.0005121898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016486228,0.0021390833,0.006997617,0.022017792,0.0012332263,0.004180169,0.0033137074,0.0034482381,0.006564728],"category_scores_gemma":[0.084922,0.001536896,0.009100818,0.020324813,0.001485965,0.004016293,0.0033417125,0.0020020609,0.0009409605],"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":[0.00010526168,0.000019957039,0.00036083153,0.9235782,0.0020729299,0.00009932197,0.00029862378,0.00010101873,0.00012562863,0.00037753597,0.0024905591,0.0703701],"study_design_scores_gemma":[0.000025894045,0.000054424567,0.0004940928,0.977509,0.0075537474,0.000130099,0.00016220786,0.00003894626,0.00007149303,0.00018710383,0.0137607725,0.000012228914],"about_ca_topic_score_codex":0.009454715,"about_ca_topic_score_gemma":0.017723378,"teacher_disagreement_score":0.022017792,"about_ca_system_score_codex":0.004423476,"about_ca_system_score_gemma":0.020577356,"threshold_uncertainty_score":0.08718854},"labels":[],"label_agreement":null},{"id":"W4294073769","doi":"10.2196/37715","title":"Implementation Plan for a High-Frequency, Low-Touch Care Model at Specialized Type 1 Diabetes Clinics: Model Development","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Hospital for Sick Children; Sinai Health System; Women's College Hospital; Ottawa Hospital","funders":"Breakthrough T1D Canada; Canadian Institutes of Health Research; Novo Nordisk; University of Toronto","keywords":"Psychological intervention; Telemedicine; Workload; Medicine; Glycemic; Nursing; Diabetes management; Health care; Intervention (counseling); Pandemic; Medical emergency; Type 2 diabetes; Process management; Computer science; Diabetes mellitus; Business; Coronavirus disease 2019 (COVID-19)","score_opus":0.04294249145395046,"score_gpt":0.35150799663129534,"score_spread":0.3085655051773449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294073769","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5980603,0.00058350206,0.29402688,0.004382008,0.00017034535,0.036355495,0.0020774943,0.0007603566,0.063583665],"genre_scores_gemma":[0.61852074,0.00051321776,0.35367066,0.0002726632,0.000010734744,0.022906106,0.00089748116,0.00002727213,0.003181111],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966965,0.0024697871,0.00010307128,0.00023495017,0.00023338091,0.00026239723],"domain_scores_gemma":[0.99109054,0.006586521,0.0006150619,0.00029215732,0.0010230928,0.0003926438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009651816,0.0010462228,0.00045880573,0.0010526708,0.0011071602,0.003201071,0.0022484686,0.0012421871,0.009254031],"category_scores_gemma":[0.012025216,0.00044027777,0.0018011086,0.0008733049,0.00078209315,0.0017793331,0.0015516136,0.0014572178,0.00055454037],"study_design_candidate":"theoretical_or_conceptual","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":[0.0021105702,0.011842179,0.08131436,0.0046063624,0.00072046154,0.0006413903,0.012473742,0.49114046,0.0025759316,0.1444345,0.007829016,0.24031109],"study_design_scores_gemma":[0.002107669,0.007420364,0.018747984,0.0016591741,0.0009766887,0.00014817237,0.0121492995,0.90962046,0.0023062928,0.027110258,0.017606705,0.00014691641],"about_ca_topic_score_codex":0.024881696,"about_ca_topic_score_gemma":0.026971037,"teacher_disagreement_score":0.024881696,"about_ca_system_score_codex":0.007230929,"about_ca_system_score_gemma":0.016061444,"threshold_uncertainty_score":0.052464247},"labels":[],"label_agreement":null},{"id":"W4294189860","doi":"10.2196/40326","title":"Improved Glycemia and Quality of Life Among Loop Users: Analysis of Real-world Data From a Single Center","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":true,"ca_institutions":"Diabetes Canada; University of Alberta","funders":"","keywords":"Glycemic; Medicine; Type 1 diabetes; Diabetes mellitus; Insulin; Observational study; Cohort; Insulin delivery; Pediatrics; Internal medicine; Endocrinology","score_opus":0.08748723499951422,"score_gpt":0.35710796002895956,"score_spread":0.26962072502944534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294189860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99954337,0.000066853005,0.000045960544,0.000009840537,0.0000010654205,0.000012762588,0.00025005254,0.0000020822554,0.00006805048],"genre_scores_gemma":[0.9989517,0.00007399383,0.00013388346,0.000024259038,0.0000061471137,0.000032830147,0.0007362439,0.0000023894293,0.000038429538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99832314,0.0006775595,0.0001780939,0.00036894772,0.00025632832,0.00019595749],"domain_scores_gemma":[0.9941462,0.0017539741,0.002367516,0.00045065928,0.00054522575,0.0007362981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025519815,0.00037604466,0.00062186475,0.0016554759,0.00055610214,0.00095926656,0.0005619405,0.0004927595,0.0013187458],"category_scores_gemma":[0.0040444722,0.00025406844,0.00087945827,0.0026540968,0.00055262377,0.00081658247,0.0011219259,0.00046899615,0.0002527382],"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":[0.00018231031,0.000078829056,0.9983688,0.000015794254,0.000057932324,0.00003564926,0.00017963456,0.000029035567,0.00006131806,0.0000034343625,0.000064303196,0.00092306663],"study_design_scores_gemma":[0.000024582285,0.00029117102,0.9986981,0.000009963068,0.00004558305,0.00010646201,0.0005269576,0.00016833792,0.000035239744,0.0000053160334,0.000081796745,0.000006480508],"about_ca_topic_score_codex":0.008886906,"about_ca_topic_score_gemma":0.011738974,"teacher_disagreement_score":0.008886906,"about_ca_system_score_codex":0.0007513447,"about_ca_system_score_gemma":0.00063484564,"threshold_uncertainty_score":0.017670333},"labels":[],"label_agreement":null},{"id":"W4294874839","doi":"10.2196/41140","title":"Analyzing User Engagement Within a Patient-Reported Outcomes Texting Tool for Diabetes Management: Engagement Phenotype Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"National Science Foundation","keywords":"mHealth; Medicine; Type 2 diabetes; Randomized controlled trial; User engagement; Intervention (counseling); Diabetes management; Clinical trial; Diabetes mellitus; Psychological intervention; Computer science; Internal medicine; World Wide Web; Nursing","score_opus":0.05399864829942356,"score_gpt":0.40010392824967966,"score_spread":0.3461052799502561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294874839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974056,0.000050894072,0.0012541981,0.000054371587,0.000010375138,0.00044470362,0.00051454076,0.000018241872,0.00024704388],"genre_scores_gemma":[0.99569404,0.00003809827,0.0017770987,0.00008732133,0.00001881485,0.0011385162,0.0009858517,0.000013770806,0.000246255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9925373,0.004615361,0.00083301135,0.00070016726,0.0008934172,0.00042073004],"domain_scores_gemma":[0.9702911,0.0150172785,0.006641326,0.0029877757,0.0031297982,0.0019326606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011120487,0.00049700803,0.0006395549,0.0010848824,0.0006886494,0.0011579214,0.0005939478,0.00083803927,0.0017147812],"category_scores_gemma":[0.037799574,0.00026219807,0.0018809895,0.0010665313,0.0005442013,0.0012906245,0.0017318842,0.0012934289,0.0006710188],"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":[0.0045600664,0.005527219,0.9466411,0.00031207007,0.0010345537,0.000096561096,0.0033668727,0.0006222478,0.00092233095,0.00019099051,0.0010822238,0.035643782],"study_design_scores_gemma":[0.00060187996,0.007330665,0.9792597,0.00009240442,0.00047717447,0.00021304833,0.0017834527,0.007143856,0.00086573727,0.000259912,0.0019049001,0.000067108616],"about_ca_topic_score_codex":0.0011716043,"about_ca_topic_score_gemma":0.0012407942,"teacher_disagreement_score":0.011120487,"about_ca_system_score_codex":0.0005261139,"about_ca_system_score_gemma":0.0007246148,"threshold_uncertainty_score":0.058811426},"labels":[],"label_agreement":null},{"id":"W4298087310","doi":"10.2196/35039","title":"Association Between Mobile Health App Engagement and Weight Loss and Glycemic Control in Adults With Type 2 Diabetes and Prediabetes (D’LITE Study): Prospective Cohort Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"National Medical Research Council; Medical Research Council","keywords":"Prediabetes; Medicine; Glycated hemoglobin; Glycemic; Diabetes mellitus; Weight loss; Type 2 diabetes; Prospective cohort study; Cohort; Overweight; Gerontology; Physical therapy; Body mass index; Obesity; Internal medicine; Endocrinology","score_opus":0.010171994482492779,"score_gpt":0.33169816011892694,"score_spread":0.32152616563643416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298087310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939698,0.000723159,0.00019812175,0.00016679149,0.000038715683,0.0001703329,0.0036745572,0.000011137319,0.0010474825],"genre_scores_gemma":[0.9947525,0.00044189568,0.00044610075,0.00030578114,0.000049216298,0.00031260596,0.0027879197,0.000009674328,0.0008942399],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910897,0.00022925051,0.00011845445,0.00024884864,0.00016692223,0.00012753204],"domain_scores_gemma":[0.99853635,0.00018448678,0.00043411637,0.00027560422,0.0002731217,0.000296356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017198847,0.0005387402,0.0005931937,0.00060139445,0.00079645857,0.0012803144,0.0005642045,0.0009839869,0.0017085024],"category_scores_gemma":[0.0022865226,0.00082483335,0.0015763832,0.0010860871,0.0002558627,0.0008097065,0.0011363287,0.0017044133,0.00057729887],"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":[0.0012068436,0.00028406535,0.9950203,0.00008321866,0.000676916,0.00007963653,0.00015376644,0.00003308578,0.00022995495,0.00003277209,0.00077719864,0.0014222976],"study_design_scores_gemma":[0.00025754038,0.0005125733,0.99743193,0.0000398341,0.00038784323,0.00012149056,0.00026710736,0.00017664235,0.00004634946,0.000023787365,0.0007201257,0.000014783778],"about_ca_topic_score_codex":0.01152048,"about_ca_topic_score_gemma":0.01774981,"teacher_disagreement_score":0.01152048,"about_ca_system_score_codex":0.00039364988,"about_ca_system_score_gemma":0.0004417502,"threshold_uncertainty_score":0.02290684},"labels":[],"label_agreement":null},{"id":"W4306168189","doi":"10.2196/41401","title":"Clinical Utility of a Digital Therapeutic Intervention in Indian Patients With Type 2 Diabetes Mellitus: 12-Week Prospective Single-Arm Intervention Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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; Glycemic; Glycated hemoglobin; Type 2 Diabetes Mellitus; Internal medicine; Diabetes mellitus; Postprandial; Population; Type 2 diabetes; Prospective cohort study; Insulin resistance; Physical therapy; Insulin; Endocrinology","score_opus":0.03148204437919234,"score_gpt":0.3149706447888851,"score_spread":0.28348860040969276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306168189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99655557,0.00021983459,0.00024459854,0.00005941194,0.000042848926,0.0022627772,0.00015438013,0.000019930783,0.0004406607],"genre_scores_gemma":[0.98815656,0.00046664206,0.0023262647,0.00029705692,0.00019317993,0.007286011,0.00034218523,0.000008857248,0.00092327],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9984865,0.0007721273,0.00014962847,0.00022416611,0.00016805687,0.00019951917],"domain_scores_gemma":[0.99788624,0.0004787218,0.00048641177,0.00025729477,0.00022988848,0.0006614102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025394026,0.0014103324,0.0029592519,0.0008546171,0.0009848427,0.00096924114,0.00090052775,0.0013052865,0.0034707913],"category_scores_gemma":[0.0025090158,0.00085578446,0.0018093392,0.0009957749,0.00096417876,0.0010068441,0.0008557107,0.0017630525,0.00052647357],"study_design_candidate":"nonrandomized_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":[0.63402385,0.29312629,0.023322446,0.0010327003,0.0014819067,0.000106556545,0.0006227689,0.00054887735,0.0050282446,0.00006258942,0.00036099445,0.040282834],"study_design_scores_gemma":[0.23420253,0.6846977,0.07690332,0.00006560802,0.0011704955,0.000059613063,0.00032461825,0.0008539495,0.0010245966,0.00006719949,0.0005549666,0.000075409516],"about_ca_topic_score_codex":0.0014354495,"about_ca_topic_score_gemma":0.0018411295,"teacher_disagreement_score":0.0034707913,"about_ca_system_score_codex":0.00065652956,"about_ca_system_score_gemma":0.0012869586,"threshold_uncertainty_score":0.013429761},"labels":[],"label_agreement":null},{"id":"W4306831372","doi":"10.2196/38869","title":"Use of Telecommunication and Diabetes-Related Technologies in Older Adults With Type 1 Diabetes During a Time of Sudden Isolation: Mixed Methods Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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 Institute of Diabetes and Digestive and Kidney Diseases; Dexcom","keywords":"Medicine; Hypoglycemia; Thematic analysis; Diabetes mellitus; Social isolation; Telehealth; Type 1 diabetes; Cohort; Coronavirus disease 2019 (COVID-19); Gerontology; Type 2 diabetes; Isolation (microbiology); Telemedicine; Internal medicine; Health care; Qualitative research; Disease; Endocrinology","score_opus":0.01628242454855351,"score_gpt":0.30729318571626174,"score_spread":0.29101076116770824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306831372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959906,0.0013660418,0.0008118465,0.00017211305,0.000019458364,0.0006450781,0.00039446316,0.0000042300107,0.00059614074],"genre_scores_gemma":[0.99129033,0.0016835836,0.002979737,0.00064157206,0.00005075884,0.0024293223,0.00040963182,0.000008593883,0.0005063978],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99147415,0.00499607,0.0013642652,0.0006874302,0.00087775,0.00060033996],"domain_scores_gemma":[0.9880586,0.0057881908,0.0031682705,0.0007017702,0.0016837384,0.0005993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011107632,0.0006012429,0.00085894036,0.0027592122,0.0019563464,0.0024247689,0.00091239414,0.0009603881,0.0017277827],"category_scores_gemma":[0.016112713,0.0006788928,0.0018273985,0.0025331925,0.00086150423,0.0019558112,0.0022692007,0.0007707124,0.00022727881],"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":[0.000712893,0.0013818591,0.81182235,0.002046613,0.00075864524,0.00078175066,0.15060253,0.00008630338,0.0007742241,0.000326412,0.0007679606,0.029938417],"study_design_scores_gemma":[0.00013287817,0.0031453853,0.6202188,0.002455478,0.0005819188,0.0013959088,0.3651595,0.0008247168,0.0006621949,0.0003680991,0.0049213273,0.00013384336],"about_ca_topic_score_codex":0.008152554,"about_ca_topic_score_gemma":0.01863598,"teacher_disagreement_score":0.011107632,"about_ca_system_score_codex":0.0018443221,"about_ca_system_score_gemma":0.0018923843,"threshold_uncertainty_score":0.058743536},"labels":[],"label_agreement":null},{"id":"W4307036849","doi":"10.2196/38660","title":"Modified e-Delphi Process for the Selection of Patient-Reported Outcome Measures for Children and Families With Type 1 Diabetes Using Continuous Glucose Monitors: Delphi Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"National Center for Advancing Translational Sciences; National Institutes of Health","keywords":"Delphi method; Psychosocial; Patient-reported outcome; Delphi; Medicine; Quality of life (healthcare); Psychology; Computer science; Nursing; Artificial intelligence; Psychiatry","score_opus":0.04658985003692591,"score_gpt":0.3309746472103735,"score_spread":0.2843847971734476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307036849","genre_codex":"protocol","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33976775,0.0011070168,0.22260232,0.0061314115,0.00057102414,0.4121957,0.0018904135,0.00035875125,0.015375647],"genre_scores_gemma":[0.24715285,0.0005734271,0.2552741,0.0020387452,0.00008796525,0.49303964,0.0005838927,0.00006721035,0.0011821331],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.7583161,0.21165287,0.0147739565,0.0043509435,0.0068667675,0.0040394063],"domain_scores_gemma":[0.7947557,0.14785181,0.008797714,0.01106907,0.03363731,0.0038884538],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.22628161,0.0015832168,0.0013533521,0.005255986,0.0037595693,0.0023858456,0.0029718024,0.00230528,0.011999026],"category_scores_gemma":[0.20455196,0.0014259374,0.0025820618,0.0036749928,0.003094129,0.003977637,0.0107276505,0.003525594,0.0018785014],"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":[0.0077698734,0.005415797,0.03472099,0.016351916,0.0006683877,0.0022388196,0.32750705,0.00933306,0.007701277,0.03337039,0.033339255,0.52158326],"study_design_scores_gemma":[0.011849476,0.016713452,0.099972904,0.022535972,0.0009851613,0.002396647,0.44716528,0.07901895,0.013520403,0.07832813,0.22604123,0.0014723327],"about_ca_topic_score_codex":0.0019144408,"about_ca_topic_score_gemma":0.002315168,"teacher_disagreement_score":0.22628161,"about_ca_system_score_codex":0.004654995,"about_ca_system_score_gemma":0.020557828,"threshold_uncertainty_score":0.9541325},"labels":[],"label_agreement":null},{"id":"W4310075623","doi":"10.2196/40366","title":"The Use of Information and Communication Technology–Based Self-management System DialBeticsLite in Treating Abdominal Obesity in Japanese Office Workers: Prospective Single-Arm Pilot Intervention Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"","keywords":"Pedometer; Waist; Medicine; Physical therapy; Abdominal obesity; Intervention (counseling); Body mass index; Obesity; Prospective cohort study; Physical activity; Internal medicine; Nursing","score_opus":0.029131242170523434,"score_gpt":0.33769322893406134,"score_spread":0.3085619867635379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310075623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99877566,0.000082288374,0.00013903582,0.000031823627,0.000013819368,0.0008308572,0.000024545376,0.00000647715,0.0000955223],"genre_scores_gemma":[0.99283457,0.00033558818,0.0027804635,0.0002342544,0.00008743969,0.0031044695,0.00010316797,0.000004599869,0.0005154256],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99931,0.00026279016,0.00007050791,0.000095876756,0.0000823426,0.00017852924],"domain_scores_gemma":[0.9989723,0.00017640684,0.00014535859,0.000075211596,0.00013225853,0.00049841544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017872893,0.0008183682,0.0013277738,0.0005417343,0.0010247236,0.00041546428,0.0005780832,0.0007996202,0.001885148],"category_scores_gemma":[0.0011898907,0.0006426218,0.0011022341,0.00026686586,0.0006389825,0.0005346852,0.00080366037,0.0012462289,0.00021167456],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_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":[0.1119881,0.718594,0.04984126,0.001698732,0.00077201694,0.00027767243,0.002867904,0.0004603856,0.023675902,0.000050784296,0.000541756,0.08923151],"study_design_scores_gemma":[0.048760995,0.82996726,0.116321415,0.000064736545,0.00054173166,0.0000588022,0.0010259859,0.00073226355,0.0018907374,0.00002461853,0.00056910084,0.00004234249],"about_ca_topic_score_codex":0.0029729216,"about_ca_topic_score_gemma":0.005685012,"teacher_disagreement_score":0.0029729216,"about_ca_system_score_codex":0.00043734527,"about_ca_system_score_gemma":0.0015362259,"threshold_uncertainty_score":0.009452224},"labels":[],"label_agreement":null},{"id":"W4312363750","doi":"10.2196/41076","title":"Mobile Health Apps for the Control and Self-management of Type 2 Diabetes Mellitus: Qualitative Study on Users’ Acceptability and Acceptance","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"Provincie Overijssel","keywords":"Thematic analysis; Data collection; Focus group; Coaching; Diabetes management; Medicine; Self-management; Qualitative research; Health care; Medical education; Applied psychology; Psychology; Nursing; Diabetes mellitus; Type 2 diabetes; Computer science","score_opus":0.03773375221106412,"score_gpt":0.43515410853974235,"score_spread":0.3974203563286782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312363750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99497485,0.0005760416,0.001294949,0.0008922256,0.000025186355,0.00024643078,0.00010729838,0.000008669914,0.0018744043],"genre_scores_gemma":[0.9959055,0.000851145,0.0010107115,0.0006537972,0.000014745494,0.00046035968,0.000052508356,0.000013904442,0.0010373079],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9904541,0.0072233016,0.00033734992,0.00036782175,0.00071758986,0.0008998945],"domain_scores_gemma":[0.9702252,0.02515434,0.0011564106,0.00043926312,0.0020118165,0.0010130713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0153657375,0.000423869,0.000728303,0.0010440984,0.0033140825,0.0024549868,0.0010254688,0.0011064274,0.00211406],"category_scores_gemma":[0.023894155,0.00055353396,0.00069231767,0.0009914435,0.0026983414,0.0028416773,0.0035440102,0.0016625482,0.00023535988],"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":[0.00006964923,0.00011405019,0.010164601,0.00032590982,0.000010900004,0.00064868334,0.9776038,0.00002881881,0.0009636619,0.00034892437,0.00030987602,0.0094111655],"study_design_scores_gemma":[0.000012880326,0.00021715535,0.007014188,0.00040951784,0.000018978571,0.00041630914,0.9853324,0.00019779916,0.0004758625,0.00017845668,0.0056975856,0.000028939858],"about_ca_topic_score_codex":0.003963328,"about_ca_topic_score_gemma":0.0043853754,"teacher_disagreement_score":0.0153657375,"about_ca_system_score_codex":0.0020290946,"about_ca_system_score_gemma":0.0026308568,"threshold_uncertainty_score":0.08126277},"labels":[],"label_agreement":null},{"id":"W4312430469","doi":"10.2196/41320","title":"Social Support in a Diabetes Online Community: Mixed Methods Content Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Engineering and Physical Sciences Research Council","keywords":"Social support; Content analysis; Prediabetes; Type 2 diabetes; Psychology; Applied psychology; Diabetes mellitus; Medicine; Social psychology; Sociology","score_opus":0.18388173764632024,"score_gpt":0.5331885322286535,"score_spread":0.34930679458233327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312430469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92726886,0.00087984686,0.033920784,0.0010335491,0.0000915365,0.022532588,0.007981394,0.00017905081,0.006112519],"genre_scores_gemma":[0.78982556,0.0009096971,0.1434228,0.0005927228,0.000080657934,0.05665705,0.0053610816,0.00016758406,0.0029828416],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9824889,0.011239115,0.0015983626,0.001469658,0.0025519896,0.00065205974],"domain_scores_gemma":[0.941446,0.045534033,0.0039165774,0.0017635737,0.006737498,0.0006023291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023145096,0.0005345927,0.000925769,0.008146063,0.0024432635,0.003400606,0.0014447055,0.00078462966,0.0038394476],"category_scores_gemma":[0.04951754,0.0004949126,0.0012565941,0.009865234,0.0015788933,0.0021373467,0.004119015,0.000843021,0.0004729056],"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":[0.0008614034,0.0009652321,0.12807618,0.009601524,0.0005663938,0.0008690213,0.5790654,0.0013994523,0.0055023893,0.007247116,0.00841587,0.25743005],"study_design_scores_gemma":[0.00037559905,0.0013411768,0.28787103,0.0049397917,0.000871256,0.0005551664,0.59707403,0.018375384,0.007941899,0.0118658105,0.06838804,0.00040076434],"about_ca_topic_score_codex":0.0052486444,"about_ca_topic_score_gemma":0.00979441,"teacher_disagreement_score":0.023145096,"about_ca_system_score_codex":0.004402585,"about_ca_system_score_gemma":0.0039300914,"threshold_uncertainty_score":0.1224044},"labels":[],"label_agreement":null},{"id":"W4312707596","doi":"10.2196/39474","title":"Perspectives on Promoting Physical Activity Using eHealth in Primary Care by Health Care Professionals and Individuals With Prediabetes and Type 2 Diabetes: Qualitative Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Physical Activity and Health","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":"Stiftelsen Silviahemmet; Vårdalstiftelsen","keywords":"eHealth; Prediabetes; Digital health; Qualitative research; Health care; Focus group; Medicine; Nursing; Population; Accountability; mHealth; Psychology; Type 2 diabetes; Medical education; Psychological intervention; Business; Environmental health; Diabetes mellitus","score_opus":0.03165557994850378,"score_gpt":0.3952584673431591,"score_spread":0.36360288739465535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312707596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98746616,0.0017540499,0.0016707263,0.004812442,0.00012174033,0.0003881363,0.00019053319,0.0000127153935,0.003583485],"genre_scores_gemma":[0.99288696,0.001455641,0.0013108118,0.0023059696,0.000036522746,0.00047937123,0.00006862221,0.000012576971,0.0014434988],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99140525,0.0061796405,0.0003178559,0.00043885765,0.0005523821,0.001106092],"domain_scores_gemma":[0.9720095,0.023154972,0.001016839,0.0003253348,0.001535669,0.0019577865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013557252,0.00041964953,0.00083342567,0.0013929444,0.008108417,0.0031948953,0.0011043925,0.0019161262,0.002454481],"category_scores_gemma":[0.018413417,0.0006113936,0.00061376666,0.001354056,0.0060555185,0.002465506,0.0042258548,0.002532178,0.0001981927],"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":[0.000023413744,0.000038192244,0.002864483,0.00021291242,0.0000042567112,0.000523558,0.9926214,0.000012910841,0.00033764204,0.00035690004,0.0003179085,0.0026864056],"study_design_scores_gemma":[0.0000063557536,0.000050258903,0.0017113771,0.0002994091,0.000006260428,0.00020298078,0.99383575,0.00004441546,0.00012905123,0.00013646082,0.003568575,0.000009084024],"about_ca_topic_score_codex":0.014100462,"about_ca_topic_score_gemma":0.01942125,"teacher_disagreement_score":0.014100462,"about_ca_system_score_codex":0.0056132637,"about_ca_system_score_gemma":0.00638191,"threshold_uncertainty_score":0.07169849},"labels":[],"label_agreement":null},{"id":"W4312851651","doi":"10.2196/38592","title":"App Design Features Important for Diabetes Self-management as Determined by the Self-Determination Theory on Motivation: Content Analysis of Survey Responses From Adults Requiring Insulin Therapy","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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 Institutes of Health; Lilly Endowment; Sigma Theta Tau International; U.S. National Library of Medicine; Eli Lilly and Company; Indiana Clinical and Translational Sciences Institute; National Center for Advancing Translational Sciences; Robert Wood Johnson Foundation","keywords":"Competence (human resources); Self-determination theory; Diabetes management; Autonomy; Interactivity; Applied psychology; Psychology; Self-management; Computer science; Medicine; Type 2 diabetes; Diabetes mellitus; Multimedia; Social psychology; Artificial intelligence","score_opus":0.07143954329337059,"score_gpt":0.3769771009518242,"score_spread":0.3055375576584536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312851651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968845,0.00012182602,0.00116649,0.00014519224,0.000010240251,0.00058356154,0.00020747312,0.000010015741,0.00087063684],"genre_scores_gemma":[0.9928752,0.00024355325,0.004764094,0.00018520853,0.000009697081,0.0013497248,0.00023477303,0.00000872598,0.00032901193],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99706393,0.001483577,0.00038534173,0.00021780201,0.00062993146,0.00021942423],"domain_scores_gemma":[0.9749722,0.018095996,0.003176002,0.00048016928,0.0028311461,0.00044456005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069429995,0.0002204205,0.00030093294,0.0010599727,0.00063379045,0.0011225498,0.00029182152,0.0004108382,0.00064642937],"category_scores_gemma":[0.029592719,0.00021740238,0.000549046,0.000714997,0.00051782967,0.00089096377,0.0014388161,0.00057984766,0.00009938825],"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":[0.00034590167,0.00053532573,0.6458774,0.0021450045,0.00013873083,0.00027835096,0.20290495,0.0003327586,0.004057674,0.00050286273,0.0020260306,0.1408551],"study_design_scores_gemma":[0.000042761596,0.00075342495,0.8557302,0.00080310006,0.00012431684,0.00039239856,0.13038275,0.0014430545,0.0013532205,0.00039779983,0.008519035,0.00005797585],"about_ca_topic_score_codex":0.0010788589,"about_ca_topic_score_gemma":0.0018168066,"teacher_disagreement_score":0.0069429995,"about_ca_system_score_codex":0.0009880489,"about_ca_system_score_gemma":0.0014392348,"threshold_uncertainty_score":0.036718547},"labels":[],"label_agreement":null},{"id":"W4313545772","doi":"10.2196/43991","title":"Glycemic Outcomes and Feature Set Engagement Among Real-Time Continuous Glucose Monitoring Users With Type 1 or Non–Insulin-Treated Type 2 Diabetes: Retrospective Analysis of Real-World Data","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":"Dexcom","keywords":"Medicine; Type 1 diabetes; Hypoglycemia; Glycemic; Continuous glucose monitoring; Context (archaeology); Insulin; Cohort; Retrospective cohort study; Type 2 diabetes; Diabetes mellitus; Internal medicine; Endocrinology; Biology","score_opus":0.04161985683057156,"score_gpt":0.3437463162906803,"score_spread":0.30212645946010874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313545772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974496,0.00023929689,0.0001826821,0.000030491066,0.000004381868,0.000020467065,0.0018591566,0.0000045307697,0.00020935519],"genre_scores_gemma":[0.99767715,0.0001167933,0.00018704374,0.00003357609,0.0000073438573,0.000038329996,0.0019036868,0.0000034515094,0.000032631568],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973049,0.00068260863,0.0006332004,0.0005751291,0.0005523686,0.00025177666],"domain_scores_gemma":[0.98647237,0.002826464,0.007932116,0.0011265323,0.0010142276,0.00062825193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024795802,0.0003015691,0.00046871573,0.0014710305,0.00034188989,0.0010107082,0.0004710172,0.00043181507,0.0007657796],"category_scores_gemma":[0.008271876,0.0003079902,0.00082999835,0.0028739679,0.0003773088,0.0009788522,0.0007399903,0.0007946551,0.00018529076],"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":[0.000119211894,0.00002530424,0.998941,0.000013827839,0.00006127964,0.000019016126,0.000052367643,0.000039283655,0.000033209722,0.000007829311,0.00008774924,0.00059986656],"study_design_scores_gemma":[0.000008319359,0.00013574403,0.99860954,0.000021425638,0.000049519396,0.00020497618,0.00026902708,0.00039377858,0.00008444284,0.000015449994,0.0002001861,0.0000075237463],"about_ca_topic_score_codex":0.0047750366,"about_ca_topic_score_gemma":0.003911814,"teacher_disagreement_score":0.0047750366,"about_ca_system_score_codex":0.00048088082,"about_ca_system_score_gemma":0.00048070896,"threshold_uncertainty_score":0.013113439},"labels":[],"label_agreement":null},{"id":"W4313546073","doi":"10.2196/39750","title":"Glycemic Variability and Fluctuations in Cognitive Status in Adults With Type 1 Diabetes (GluCog): Observational Study Using Ecological Momentary Assessment of Cognition","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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 Institute of Diabetes and Digestive and Kidney Diseases; National Institute on Aging; National Institutes of Health; Alzheimer's Association","keywords":"Glycemic; Type 2 diabetes; Hypoglycemia; Cognition; Observational study; Population; Effects of sleep deprivation on cognitive performance; Medicine; Type 1 diabetes; Diabetes mellitus; Physical therapy; Psychology; Internal medicine; Environmental health; Psychiatry; Endocrinology","score_opus":0.0741811389289863,"score_gpt":0.3840919372105204,"score_spread":0.30991079828153406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313546073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99904245,0.00012880632,0.00014000968,0.000017111886,0.0000048233987,0.00008066054,0.0004064918,0.0000031434083,0.000176431],"genre_scores_gemma":[0.9985879,0.00011469213,0.00046761552,0.00007177236,0.000011640903,0.000109071036,0.0005541311,0.0000018467216,0.00008134526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992756,0.00027328063,0.000103082275,0.00014624478,0.0001260924,0.00007563701],"domain_scores_gemma":[0.9988219,0.0001803861,0.00044961792,0.0001774635,0.00014160099,0.00022908064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016640979,0.00031290922,0.0004935603,0.0005408618,0.0006566228,0.0006552643,0.00035003776,0.0005869092,0.0005094915],"category_scores_gemma":[0.0023507623,0.00039756388,0.0006605205,0.0010432608,0.00025392702,0.0004909669,0.0006446719,0.0008742348,0.00017514669],"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":[0.00069941167,0.000491306,0.9964897,0.000024027171,0.000098078686,0.00003473504,0.00016148758,0.000028499033,0.00019413579,0.000008410554,0.00008478982,0.0016853143],"study_design_scores_gemma":[0.00006071207,0.00083470426,0.9984742,0.000007651196,0.000050546372,0.00008487081,0.00017342597,0.00013438307,0.000043441585,0.000012623801,0.00011821234,0.00000518186],"about_ca_topic_score_codex":0.007007534,"about_ca_topic_score_gemma":0.010735249,"teacher_disagreement_score":0.007007534,"about_ca_system_score_codex":0.0003711688,"about_ca_system_score_gemma":0.00046894923,"threshold_uncertainty_score":0.01393348},"labels":[],"label_agreement":null},{"id":"W4317460730","doi":"10.2196/42389","title":"The Clinical Impact of Flash Glucose Monitoring—a Digital Health App and Smartwatch Technology in Patients With Type 2 Diabetes: Scoping Review","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"","keywords":"CINAHL; MEDLINE; Medicine; Type 2 diabetes; Cochrane Library; Diabetes management; Digital health; Systematic review; Health care; Diabetes mellitus; Meta-analysis; Nursing; Internal medicine; Psychological intervention","score_opus":0.04240441035566735,"score_gpt":0.47315804179751325,"score_spread":0.4307536314418459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317460730","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00046066512,0.998468,0.000055273882,0.00021050959,0.00010799718,0.00016728621,0.000088247005,0.0000024662377,0.00043960055],"genre_scores_gemma":[0.0040992694,0.99479693,0.00024106441,0.00035934767,0.000078728226,0.00026050344,0.000069973,0.0000021143258,0.00009207423],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99344665,0.002062868,0.0025992033,0.0004191882,0.0012969193,0.00017510982],"domain_scores_gemma":[0.9666286,0.026107147,0.0044213817,0.00027286945,0.0023145482,0.00025544156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007677858,0.0011621636,0.004882043,0.011760096,0.0009220215,0.0040597618,0.0019317431,0.003222146,0.0047266753],"category_scores_gemma":[0.04154006,0.000980267,0.005857178,0.013330842,0.0011891763,0.0026790523,0.0019843623,0.0015510058,0.00039834387],"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":[0.00018699864,0.000040275943,0.0007543531,0.8729284,0.00279251,0.00011368281,0.00037114913,0.00010526471,0.00012344954,0.00040769714,0.0021568886,0.12001935],"study_design_scores_gemma":[0.000050140214,0.0001257366,0.0017785568,0.9689755,0.010425144,0.0002783001,0.000308387,0.00004457726,0.0000912661,0.00017078745,0.017733183,0.000018500643],"about_ca_topic_score_codex":0.009169921,"about_ca_topic_score_gemma":0.01877853,"teacher_disagreement_score":0.011760096,"about_ca_system_score_codex":0.0033800127,"about_ca_system_score_gemma":0.013006508,"threshold_uncertainty_score":0.04060483},"labels":[],"label_agreement":null},{"id":"W4317941335","doi":"10.2196/43377","title":"Toward Diabetes Device Development That Is Mindful to the Needs of Young People Living With Type 1 Diabetes: A Data- and Theory-Driven Qualitative Study","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"Deutscher Akademischer Austauschdienst","keywords":"Thematic analysis; Checklist; Feeling; Qualitative research; Grounded theory; Diabetes management; Psychology; Type 1 diabetes; Qualitative property; Applied psychology; Exploratory research; Medicine; Medical education; Social psychology; Diabetes mellitus; Type 2 diabetes; Computer science; Sociology","score_opus":0.07084849416996354,"score_gpt":0.3592555563594416,"score_spread":0.2884070621894781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317941335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812009,0.0009290792,0.008965117,0.0026901877,0.00010281679,0.001264383,0.00054385775,0.000030345724,0.0042734584],"genre_scores_gemma":[0.97958815,0.0017326402,0.01024398,0.0020308523,0.00003225831,0.002250455,0.00024906156,0.00004957724,0.003823098],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.991619,0.0059014047,0.000316178,0.00047621765,0.00069069007,0.0009964968],"domain_scores_gemma":[0.97618276,0.018220507,0.00097221724,0.000508117,0.0021850194,0.0019313149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017638074,0.00051740685,0.0008418129,0.0016780149,0.007734828,0.003270087,0.0015800394,0.0015823925,0.00252572],"category_scores_gemma":[0.018278228,0.0007070016,0.00073269784,0.0014495524,0.0063090795,0.003210187,0.005364604,0.0031139276,0.0004285709],"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":[0.000028545866,0.00005971787,0.0031014006,0.00025817796,0.0000036092463,0.0007335448,0.9882153,0.000039411636,0.0008585406,0.0008279023,0.0004538181,0.0054199942],"study_design_scores_gemma":[0.000008078051,0.0000658098,0.0013636347,0.000307978,0.0000052843734,0.00024924934,0.98937994,0.00010169363,0.00037022796,0.00031954082,0.007815804,0.000012807829],"about_ca_topic_score_codex":0.0070397253,"about_ca_topic_score_gemma":0.011977299,"teacher_disagreement_score":0.017638074,"about_ca_system_score_codex":0.0057740537,"about_ca_system_score_gemma":0.007860692,"threshold_uncertainty_score":0.09328014},"labels":[],"label_agreement":null},{"id":"W4318598114","doi":"10.2196/40641","title":"Improving the Well-being of Adolescents With Type 1 Diabetes During the COVID-19 Pandemic: Qualitative Study Exploring Acceptability and Clinical Usability of a Self-compassion Chatbot","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Digital Mental Health Interventions","field":"Psychology","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":"Focus group; Qualitative research; Medicine; Compassion; Population; Chatbot; Psychological intervention; Usability; Digital health; Type 1 diabetes; Psychology; Nursing; Health care; Diabetes mellitus","score_opus":0.11828357789974511,"score_gpt":0.4566271344392013,"score_spread":0.33834355653945614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318598114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953744,0.0005021517,0.0010937819,0.0010596617,0.000033907945,0.000244907,0.00013182113,0.000006857995,0.0015524693],"genre_scores_gemma":[0.99575824,0.0007774124,0.0012503793,0.0006900217,0.000013156478,0.00041147103,0.000062779276,0.00001297497,0.0010235586],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9951456,0.003692683,0.00015721127,0.0002521816,0.00027282262,0.00047946846],"domain_scores_gemma":[0.98787653,0.009206528,0.00083861774,0.00020734096,0.00081643875,0.001054541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011126482,0.00043383386,0.0006660847,0.0009155301,0.0049227956,0.002013702,0.0012174358,0.0009253184,0.0020254827],"category_scores_gemma":[0.012835724,0.00053263403,0.00048232393,0.00066310744,0.0043710186,0.0021925056,0.0032783663,0.0019904096,0.00018863461],"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":[0.000043034735,0.00007473485,0.007803773,0.0002277419,0.00000605423,0.00066927174,0.9856446,0.000029773064,0.0008226595,0.0004664205,0.00038634482,0.003825642],"study_design_scores_gemma":[0.000005292566,0.00008056831,0.0028145881,0.00022662691,0.000006384565,0.00021217432,0.9929079,0.00006752431,0.00022810092,0.000106899985,0.0033352594,0.000008686918],"about_ca_topic_score_codex":0.005895701,"about_ca_topic_score_gemma":0.014319071,"teacher_disagreement_score":0.011126482,"about_ca_system_score_codex":0.0033014775,"about_ca_system_score_gemma":0.0036288782,"threshold_uncertainty_score":0.058843195},"labels":[],"label_agreement":null},{"id":"W4319156410","doi":"10.2196/44277","title":"The Effectiveness of an App (Insulia) in Recommending Basal Insulin Doses for French Patients With Type 2 Diabetes Mellitus: Longitudinal Observational Study","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Sanofi","keywords":"Glycemic; Hypoglycemia; Medicine; Observational study; Basal (medicine); Diabetes mellitus; Insulin; Basal insulin; Type 2 diabetes; Randomized controlled trial; Internal medicine; Hemoglobin; Type 2 Diabetes Mellitus; Endocrinology","score_opus":0.08773374041630788,"score_gpt":0.42401482771979143,"score_spread":0.33628108730348355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319156410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983854,0.00048716168,0.0000943757,0.00009526431,0.000012229875,0.000041578343,0.00055566255,0.000005700464,0.00032250283],"genre_scores_gemma":[0.9981865,0.00030171807,0.00021609962,0.00015577367,0.000031046533,0.0000701979,0.00086143997,0.000004309153,0.00017286418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967906,0.0016377642,0.0003378491,0.00057350384,0.0003577987,0.0003025296],"domain_scores_gemma":[0.9886805,0.0034828624,0.0049023433,0.0007667911,0.001214259,0.0009531051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052040876,0.00059103733,0.00073048734,0.0011001083,0.00097603974,0.001555787,0.0005764315,0.0011133399,0.0018918277],"category_scores_gemma":[0.0133149205,0.000404004,0.0017513644,0.001417028,0.00046842094,0.0010469696,0.00059482426,0.0012077914,0.00034144035],"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":[0.0007299518,0.00053822086,0.99569654,0.000038890124,0.00027946095,0.000034565124,0.0002525078,0.00005064451,0.00003621786,0.000015323692,0.00025383066,0.0020739166],"study_design_scores_gemma":[0.00016536897,0.0019503215,0.9953506,0.000048965885,0.0002835246,0.00014605944,0.0007173997,0.00056458614,0.000047534104,0.000023154476,0.0006773558,0.000025023237],"about_ca_topic_score_codex":0.040157408,"about_ca_topic_score_gemma":0.027002003,"teacher_disagreement_score":0.040157408,"about_ca_system_score_codex":0.0017460404,"about_ca_system_score_gemma":0.0017379672,"threshold_uncertainty_score":0.079847336},"labels":[],"label_agreement":null},{"id":"W4320067039","doi":"10.2196/42564","title":"Adaptation of an Adult Web Application for Type 1 Diabetes Self-management to Youth Using the Behavior Change Wheel to Tailor the Needs of Health Care Transition: Qualitative Interview Study","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":14,"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; Montreal Children's Hospital; McGill University","funders":"Société Francophone du Diabète; McGill University","keywords":"Psychology; Peer support; Qualitative research; Adaptation (eye); Context (archaeology); Applied psychology; Content analysis; Population; Interpretative phenomenological analysis; The Internet; Medical education; Knowledge management; Developmental psychology; Computer science; Medicine; World Wide Web; Sociology","score_opus":0.16932132134273634,"score_gpt":0.43834269734019193,"score_spread":0.26902137599745557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320067039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930334,0.00016376472,0.003709049,0.00032929602,0.000018334576,0.0006679288,0.00014474116,0.000022961125,0.0019105681],"genre_scores_gemma":[0.9884163,0.00044973186,0.0084262835,0.00021669852,0.000010957858,0.00075544603,0.00012311224,0.000022265964,0.0015792517],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9972172,0.001952511,0.0001350706,0.0001586491,0.00019013397,0.00034646862],"domain_scores_gemma":[0.99653316,0.0023468998,0.0002800673,0.00011225562,0.0002906842,0.00043687253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067250975,0.00035532308,0.000370197,0.0007533402,0.002640628,0.0015610192,0.00090787705,0.0005830242,0.0011805001],"category_scores_gemma":[0.005958814,0.00033017478,0.00041786712,0.00069717446,0.0020012055,0.0011259253,0.0024777458,0.0008506451,0.00016770886],"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":[0.00007123449,0.000404755,0.018284597,0.00044846197,0.000009798018,0.0018376596,0.9447305,0.00011623707,0.0034554608,0.00089778524,0.0008288215,0.028914656],"study_design_scores_gemma":[0.000028032002,0.00047731612,0.024072988,0.00045034304,0.000030249497,0.0010371516,0.9526243,0.00056424295,0.0026809208,0.00038228685,0.017625187,0.000026911182],"about_ca_topic_score_codex":0.0030923253,"about_ca_topic_score_gemma":0.00629779,"teacher_disagreement_score":0.0067250975,"about_ca_system_score_codex":0.0024239223,"about_ca_system_score_gemma":0.003039417,"threshold_uncertainty_score":0.03556615},"labels":[],"label_agreement":null},{"id":"W4321385665","doi":"10.2196/40990","title":"Hypoglycemia Detection Using Hand Tremors: Home Study of Patients With Type 1 Diabetes","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"Qatar National Research Fund; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Hypoglycemia; Medicine; Accelerometer; Diabetes mellitus; Type 2 diabetes; Blood sugar; Random forest; Continuous glucose monitoring; Artificial intelligence; Computer science; Support vector machine; Machine learning; Physical medicine and rehabilitation; Type 1 diabetes; Endocrinology","score_opus":0.023248107619297045,"score_gpt":0.28755069009467826,"score_spread":0.26430258247538124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321385665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995431,0.000055288565,0.00015345475,0.000016787975,0.000003769362,0.000015552658,0.000112998605,0.0000034326192,0.000095696756],"genre_scores_gemma":[0.9993218,0.000059093334,0.00029422354,0.000028118991,0.000014981328,0.000015907848,0.00018672706,0.0000014666202,0.00007764132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998047,0.000057483194,0.000023406352,0.00005996124,0.000031073116,0.00002344348],"domain_scores_gemma":[0.99952054,0.0001156919,0.00015306586,0.000036154066,0.000068185676,0.00010640833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027704213,0.00032664498,0.00039911742,0.0005792031,0.00028469323,0.00039345308,0.0001836954,0.00038976176,0.00054815545],"category_scores_gemma":[0.0012167396,0.00014238758,0.0003081641,0.00043361477,0.0001344845,0.00025427248,0.00029857867,0.00043731608,0.0001533185],"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":[0.0003257401,0.0003157977,0.99199545,0.000019767156,0.000052190095,0.00023728426,0.00023382907,0.0001079196,0.0007808115,0.000005226757,0.00013445062,0.0057915794],"study_design_scores_gemma":[0.00002183024,0.0005231868,0.9976374,0.0000053591266,0.000027694508,0.00039765323,0.00030069114,0.00085946603,0.00012871633,0.000013004415,0.00007886587,0.0000061606916],"about_ca_topic_score_codex":0.002924519,"about_ca_topic_score_gemma":0.004083363,"teacher_disagreement_score":0.002924519,"about_ca_system_score_codex":0.00020337326,"about_ca_system_score_gemma":0.00013939528,"threshold_uncertainty_score":0.0058149695},"labels":[],"label_agreement":null},{"id":"W4322577977","doi":"10.2196/38474","title":"Integration of the Vision of People With Diabetes Into the Development Process to Improve Self-management via Diabetes Apps: Qualitative Interview Study","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen; Universität Bielefeld; Fachhochschule Bielefeld; Deutsche Forschungsgemeinschaft","keywords":"Diabetes mellitus; Qualitative research; Process (computing); Diabetes management; Vision; Internet privacy; Medicine; Type 2 diabetes; Psychology; Medical education; Computer science","score_opus":0.028277207928834355,"score_gpt":0.43147587512230257,"score_spread":0.4031986671934682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322577977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859489,0.0008354175,0.0051808967,0.002660629,0.00008873711,0.0006700491,0.00026241463,0.000022338367,0.004330519],"genre_scores_gemma":[0.99150896,0.0010415949,0.0028932712,0.0012706947,0.00002271014,0.0010384726,0.00011744761,0.000021826509,0.0020849528],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99044156,0.006767051,0.00033663926,0.0005236867,0.0005117917,0.0014192743],"domain_scores_gemma":[0.97476417,0.019063039,0.001192051,0.0004495046,0.0022405698,0.0022905732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016199907,0.00056536484,0.00060093345,0.0015965299,0.0068575167,0.0028962009,0.0013028639,0.0015692172,0.0025681856],"category_scores_gemma":[0.018745806,0.000724476,0.0006476278,0.0013826591,0.0056804693,0.0037908666,0.005727903,0.0033724606,0.00041108183],"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":[0.00003886618,0.000055873432,0.0023421093,0.00014832962,0.0000039207544,0.00038783776,0.99221593,0.000031658426,0.00055626075,0.00056321884,0.00035918521,0.0032967892],"study_design_scores_gemma":[0.000007731983,0.000052333005,0.0009812408,0.00016912064,0.000004544479,0.00012745823,0.99311185,0.000091795446,0.00026497958,0.00023914884,0.004937797,0.000011945428],"about_ca_topic_score_codex":0.006619054,"about_ca_topic_score_gemma":0.008270295,"teacher_disagreement_score":0.016199907,"about_ca_system_score_codex":0.0055382494,"about_ca_system_score_gemma":0.0064815567,"threshold_uncertainty_score":0.085674286},"labels":[],"label_agreement":null},{"id":"W4322703713","doi":"10.2196/44018","title":"Prediction of Weight Loss to Decrease the Risk for Type 2 Diabetes Using Multidimensional Data in Filipino Americans: Secondary Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Artificial Intelligence in Healthcare","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","keywords":"Feature selection; Machine learning; Decision tree; Random forest; Artificial intelligence; Support vector machine; Computer science; Logistic regression; Data mining; Medicine","score_opus":0.22622561739087205,"score_gpt":0.47585491574311795,"score_spread":0.2496292983522459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322703713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99456537,0.00014897862,0.002143376,0.00012265428,0.000022447728,0.00016143032,0.0023726865,0.00004646866,0.00041662517],"genre_scores_gemma":[0.99564266,0.00006424747,0.0017548945,0.00003527044,0.000024036024,0.00029232376,0.0018733445,0.000010049381,0.00030318517],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980134,0.0011098939,0.00013340941,0.00034112346,0.00023055276,0.0001716957],"domain_scores_gemma":[0.99203557,0.0046886723,0.0011016456,0.0008307957,0.0009829822,0.00036037975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055353483,0.0009006427,0.0009882569,0.0024982388,0.00062571955,0.0009199949,0.000877498,0.00070333306,0.0027981983],"category_scores_gemma":[0.0113610765,0.00023421175,0.0032250276,0.0013343075,0.0004080612,0.00039450775,0.00090028025,0.0013040241,0.00047812497],"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":[0.0047599315,0.0012132229,0.9735719,0.00015160181,0.0015761097,0.00006416207,0.00013116229,0.0029057832,0.0005001732,0.00013256076,0.0011044861,0.013888924],"study_design_scores_gemma":[0.000340125,0.0022962764,0.9622816,0.00007020824,0.0012030761,0.000121762605,0.00028190494,0.031311926,0.000974481,0.0003420277,0.0007393863,0.000037208032],"about_ca_topic_score_codex":0.0042173397,"about_ca_topic_score_gemma":0.0028385092,"teacher_disagreement_score":0.0055353483,"about_ca_system_score_codex":0.0005741193,"about_ca_system_score_gemma":0.00068971503,"threshold_uncertainty_score":0.029274046},"labels":[],"label_agreement":null},{"id":"W4323529973","doi":"10.2196/43292","title":"Fitterfly Diabetes CGM Digital Therapeutics Program for Glycemic Control and Weight Management in People With Type 2 Diabetes Mellitus: Real-world Effectiveness Evaluation","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Glycemic; Medicine; Diabetes mellitus; Diabetes management; Digital health; Type 2 diabetes; Type 2 Diabetes Mellitus; Physical therapy; Health care; Endocrinology","score_opus":0.028528952596668475,"score_gpt":0.4017305256144179,"score_spread":0.3732015730177494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323529973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98453623,0.00092233956,0.00076274655,0.00040120273,0.000084297484,0.008946611,0.0012618236,0.0000903661,0.002994434],"genre_scores_gemma":[0.9602367,0.0013114742,0.012513155,0.0005609667,0.00024814365,0.022813916,0.0013793419,0.000018856928,0.000917301],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99485517,0.0032079525,0.00037639003,0.00041245818,0.00077049393,0.00037743856],"domain_scores_gemma":[0.9941387,0.003003827,0.0011764198,0.0002807341,0.000386995,0.0010133861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069481567,0.00093842717,0.0010318018,0.0010868034,0.0006392776,0.00071441225,0.0009234885,0.0009448603,0.003765623],"category_scores_gemma":[0.010147749,0.00029960292,0.0020089191,0.0006909431,0.0005050657,0.001078438,0.0013704592,0.00097184506,0.00021370489],"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":[0.19983768,0.25306755,0.051274266,0.0042287647,0.0039964374,0.00018123946,0.00086771674,0.004661349,0.0015216381,0.00049114466,0.005081336,0.47479087],"study_design_scores_gemma":[0.20723072,0.5652463,0.20164442,0.0013238019,0.005519862,0.00020321556,0.0009452764,0.009357558,0.0020975443,0.000454022,0.005850962,0.00012633397],"about_ca_topic_score_codex":0.0038813576,"about_ca_topic_score_gemma":0.00467079,"teacher_disagreement_score":0.0069481567,"about_ca_system_score_codex":0.0016889371,"about_ca_system_score_gemma":0.0026867252,"threshold_uncertainty_score":0.036745787},"labels":[],"label_agreement":null},{"id":"W4323899563","doi":"10.2196/41501","title":"Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Qatar National Research Fund; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Hypoglycemia; Health belief model; Diabetes mellitus; Medicine; Structural equation modeling; Psychology; Resistance (ecology); Gerontology; Clinical psychology; Nursing; Public health; Health education; Computer science","score_opus":0.1281407362313409,"score_gpt":0.4401793073407832,"score_spread":0.31203857110944233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323899563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986727,0.00002075742,0.0004370765,0.00019860444,0.000005384801,0.00007004995,0.00035678007,0.000006715966,0.00023208962],"genre_scores_gemma":[0.99720556,0.00007218157,0.0012111102,0.00007712658,0.0000048487846,0.0003010108,0.0007899076,0.0000060966977,0.00033209287],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99820256,0.0010925091,0.00010917649,0.00018565987,0.00019656548,0.00021357888],"domain_scores_gemma":[0.98767394,0.008996097,0.0010983575,0.00057425885,0.0010408784,0.0006165395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073130857,0.00070317456,0.00063501205,0.0011565231,0.001137669,0.0017740737,0.0011311021,0.0009817573,0.0074247555],"category_scores_gemma":[0.016593644,0.00065345544,0.0025412175,0.0012118621,0.00045770232,0.0013994677,0.0013795937,0.0030114814,0.0007210142],"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":[0.00029048984,0.0015421864,0.9816726,0.000045102115,0.00032018096,0.00011143947,0.004456557,0.0016702863,0.0001099205,0.00020579965,0.0008643497,0.008711159],"study_design_scores_gemma":[0.00029743934,0.0018924273,0.874585,0.00021844392,0.0005550514,0.00039216888,0.018278934,0.10063003,0.00019554986,0.0013399165,0.0015427787,0.00007221689],"about_ca_topic_score_codex":0.01461074,"about_ca_topic_score_gemma":0.00973557,"teacher_disagreement_score":0.01461074,"about_ca_system_score_codex":0.0011113156,"about_ca_system_score_gemma":0.002112787,"threshold_uncertainty_score":0.038675785},"labels":[],"label_agreement":null},{"id":"W4360600498","doi":"10.2196/40272","title":"Secure Messaging for Diabetes Management: Content Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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 Heart, Lung, and Blood Institute; Office of Research and Development; AcademyHealth; U.S. Department of Veterans Affairs","keywords":"Glycemic; Diabetes mellitus; Medicine; Diabetes management; Type 2 diabetes; Content analysis; Control (management); Computer science; Endocrinology","score_opus":0.08956920420553947,"score_gpt":0.43778860289392635,"score_spread":0.34821939868838686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360600498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94016206,0.002296976,0.012368595,0.0015927146,0.000109118526,0.011263721,0.021649295,0.0003526562,0.010204889],"genre_scores_gemma":[0.90791094,0.0028200606,0.057162322,0.00051624276,0.00013662956,0.015690487,0.01309905,0.00015294563,0.0025114296],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9911913,0.004636489,0.001347901,0.0006186417,0.0018352214,0.00037044182],"domain_scores_gemma":[0.9353301,0.0473647,0.0076945373,0.0013814911,0.0074701896,0.0007590785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012653059,0.0004116473,0.0005798184,0.010719121,0.0009955325,0.002189117,0.00059829943,0.00039057483,0.0033370592],"category_scores_gemma":[0.05938452,0.00032017982,0.0012762158,0.0113496585,0.0006216949,0.0020156875,0.0025472231,0.00068138243,0.00060759624],"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":[0.0011111413,0.00097279943,0.4346978,0.011681307,0.00073960813,0.00047711405,0.061264724,0.0009393431,0.0029437104,0.0037759403,0.02512197,0.4562745],"study_design_scores_gemma":[0.00028962086,0.00079041725,0.86328226,0.0056574433,0.0012868663,0.0006097407,0.053187158,0.012246677,0.003296304,0.005149393,0.0539789,0.00022530125],"about_ca_topic_score_codex":0.0032595154,"about_ca_topic_score_gemma":0.0038667729,"teacher_disagreement_score":0.012653059,"about_ca_system_score_codex":0.0031679089,"about_ca_system_score_gemma":0.0034899889,"threshold_uncertainty_score":0.066916525},"labels":[],"label_agreement":null},{"id":"W4361301733","doi":"10.2196/45241","title":"Clinician Experiences With Hybrid Closed Loop Insulin Delivery Systems in Veterans With Type 1 Diabetes: Qualitative Study","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"National Institute of Diabetes and Digestive and Kidney Diseases; University of Michigan","keywords":"Insulin pump; Glycemic; Thematic analysis; Medicine; Health care; Diabetes mellitus; Qualitative research; Insulin; Type 1 diabetes; Family medicine; Nursing; Internal medicine; Endocrinology","score_opus":0.048277319774819305,"score_gpt":0.3709056137441168,"score_spread":0.3226282939692975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361301733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940095,0.0006532744,0.00078961486,0.0021555282,0.000051186493,0.00008976426,0.00007455102,0.000009216746,0.0021673858],"genre_scores_gemma":[0.996684,0.0006956843,0.00058412174,0.00090275507,0.00001976765,0.0000901232,0.0000379263,0.000011625525,0.00097409537],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.986829,0.010025642,0.00040505224,0.0005604015,0.0006911112,0.001488849],"domain_scores_gemma":[0.9745953,0.019430634,0.002067986,0.00039328114,0.001395148,0.0021176105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010595169,0.0004380358,0.0005803411,0.00080001995,0.0061954525,0.0041013956,0.0014039048,0.0015560115,0.0028141178],"category_scores_gemma":[0.024323508,0.0007451703,0.0004418531,0.0010901558,0.0050250175,0.0031911011,0.0046271766,0.002367225,0.00025359797],"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":[0.000037959915,0.00006437554,0.0058849035,0.00016144053,0.0000068091167,0.00068224064,0.98874485,0.00003295091,0.00043459813,0.00036389963,0.00042653663,0.0031594494],"study_design_scores_gemma":[0.000004310641,0.00006674749,0.0013627686,0.000116065276,0.000003903412,0.00025300265,0.99518764,0.000055587592,0.00011607102,0.00006944547,0.0027557274,0.000008595214],"about_ca_topic_score_codex":0.011699349,"about_ca_topic_score_gemma":0.014962082,"teacher_disagreement_score":0.011699349,"about_ca_system_score_codex":0.0052830926,"about_ca_system_score_gemma":0.0057519265,"threshold_uncertainty_score":0.056033313},"labels":[],"label_agreement":null},{"id":"W4361975488","doi":"10.2196/44297","title":"Use of a Smartphone-Based Medication Adherence Platform to Improve Outcomes in Uncontrolled Type 2 Diabetes Among Veterans: Prospective Case-Crossover Study","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Medication Adherence and Compliance","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; Physical therapy; Diabetes mellitus; Type 2 diabetes; Crossover study; Medication adherence; Type 2 Diabetes Mellitus; Internal medicine; Alternative medicine","score_opus":0.04902002344559664,"score_gpt":0.3327393617035904,"score_spread":0.2837193382579938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361975488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998623,0.00027381934,0.0001927032,0.000029870045,0.000031934953,0.00059137284,0.000075146876,0.0000055250975,0.00017664913],"genre_scores_gemma":[0.9984647,0.00016758346,0.00046837452,0.000098461256,0.000060626502,0.00044616614,0.00011745606,0.0000028458285,0.00017376106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99627656,0.0019172776,0.0003537689,0.0006486125,0.00044542493,0.00035835707],"domain_scores_gemma":[0.99636084,0.0010872204,0.0009772188,0.0006118006,0.0004462622,0.00051673135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005095216,0.00093391427,0.0012278009,0.0007928964,0.0014588672,0.0013127808,0.00079684,0.001569295,0.002060551],"category_scores_gemma":[0.00687408,0.0007168347,0.0019455327,0.00064554927,0.0008866612,0.0007925184,0.0006120099,0.0012549321,0.00036142275],"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":[0.09163672,0.12181951,0.7472666,0.00089491974,0.0039988146,0.0019231918,0.0035770137,0.00030791512,0.0044084433,0.00028805074,0.0009887647,0.022889946],"study_design_scores_gemma":[0.03364943,0.3060755,0.64664775,0.00021888662,0.0030938385,0.0016979533,0.0032176154,0.001888686,0.0013740757,0.00025610067,0.0017322798,0.00014791892],"about_ca_topic_score_codex":0.004367482,"about_ca_topic_score_gemma":0.004561056,"teacher_disagreement_score":0.005095216,"about_ca_system_score_codex":0.001031875,"about_ca_system_score_gemma":0.0011450932,"threshold_uncertainty_score":0.026946366},"labels":[],"label_agreement":null},{"id":"W4367174583","doi":"10.2196/35682","title":"The Influence of Age, Sex, and Socioeconomic Status on Glycemic Control Among People With Type 1 and Type 2 Diabetes in Canada: Patient-Led Longitudinal Retrospective Cross-sectional Study With Multiple Time Points of Measurement","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec; University of Manitoba; Université Laval; Manitoba Health; Université de Sherbrooke; University of Toronto; Ontario Stroke Network; Center for Interuniversity Research and Analysis on Organizations; Centre Hospitalier Universitaire de Sherbrooke; North York General Hospital; McGill University Health Centre; Health and Social Services Centre University Institute of Geriatrics of Sherbrooke; Diabetes Canada","funders":"Canadian Institutes of Health Research","keywords":"Type 2 diabetes; Socioeconomic status; Diabetes mellitus; Medicine; Glycemic; Gerontology; Type 1 diabetes; Cross-sectional study; Demography; Environmental health; Population; Endocrinology","score_opus":0.010028539241016236,"score_gpt":0.2467531415627006,"score_spread":0.23672460232168435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367174583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99212587,0.0006335526,0.00019299664,0.00021144022,0.000013293407,0.000109329565,0.0059139514,0.000010666121,0.00078895024],"genre_scores_gemma":[0.995184,0.00043195023,0.0005415292,0.0002329481,0.000009136348,0.00008129784,0.0030522097,0.0000054933353,0.0004615431],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980855,0.00025902834,0.00017291479,0.00036187767,0.0006203642,0.0005004276],"domain_scores_gemma":[0.9965654,0.00026624132,0.0010246463,0.00020090031,0.0012700681,0.0006727152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015356658,0.00041136137,0.0005867478,0.0011755392,0.0027207627,0.0012569155,0.0012592851,0.0005370296,0.0010117553],"category_scores_gemma":[0.0033235254,0.0005902222,0.0009328613,0.0042421836,0.00078470487,0.0005213723,0.0011919036,0.0010080679,0.00017929258],"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":[0.000017781287,0.000018936349,0.9990884,0.000011488686,0.00003024716,0.000016419064,0.00013773171,0.00002072129,0.000020837237,0.00001131425,0.00016653448,0.00045975065],"study_design_scores_gemma":[0.0000047692706,0.000024336725,0.9989618,0.000017218083,0.000026513608,0.000041070754,0.0004896976,0.00015653437,0.000019386376,0.000008689933,0.00024448844,0.000005604615],"about_ca_topic_score_codex":0.9685688,"about_ca_topic_score_gemma":0.97563213,"teacher_disagreement_score":0.031431198,"about_ca_system_score_codex":0.013205332,"about_ca_system_score_gemma":0.017281646,"threshold_uncertainty_score":0.095811844},"labels":[],"label_agreement":null},{"id":"W4375948663","doi":"10.2196/44652","title":"Technology-Supported Integrated Care Innovations to Support Diabetes and Mental Health Care: Scoping Review","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McGill University; University of Alberta; University of Toronto; University Health Network; Diabetes Canada; Centre for Addiction and Mental Health; McMaster University","funders":"Centre for Addiction and Mental Health; McMaster University; Hamilton Health Sciences","keywords":"Mental health; Psychological intervention; Psychosocial; Medicine; Health care; Distress; Gerontology; Nursing; Psychiatry; Clinical psychology","score_opus":0.019047098110341214,"score_gpt":0.34580283209735996,"score_spread":0.32675573398701874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375948663","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005626289,0.9967024,0.00033435161,0.00040118038,0.00021059817,0.00046803788,0.00017253212,0.000012037212,0.0011363027],"genre_scores_gemma":[0.005034661,0.9929965,0.00075276365,0.000261943,0.00006297024,0.0006216003,0.00014769126,0.0000039561714,0.00011798063],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9919527,0.0030153212,0.0027271414,0.000437757,0.0015665838,0.0003004303],"domain_scores_gemma":[0.95809054,0.03316978,0.004055097,0.0006852023,0.003672965,0.00032635516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0112819495,0.00154355,0.004063025,0.01685406,0.0012178881,0.004720065,0.0026667567,0.0033606167,0.005400257],"category_scores_gemma":[0.05819018,0.0010620448,0.005361628,0.022142211,0.0013038173,0.0034705172,0.003080968,0.0019682485,0.00059864536],"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":[0.00010461366,0.000058742527,0.00059668097,0.78628844,0.0022439742,0.000120392935,0.00080174103,0.0004552719,0.000112204536,0.0020797455,0.0038874273,0.20325081],"study_design_scores_gemma":[0.000033895365,0.000053807078,0.00080395734,0.96843064,0.0037930324,0.000102328006,0.0003801894,0.000098455006,0.000074981166,0.00048980856,0.025722787,0.000016146374],"about_ca_topic_score_codex":0.013225336,"about_ca_topic_score_gemma":0.021770582,"teacher_disagreement_score":0.01685406,"about_ca_system_score_codex":0.0062388456,"about_ca_system_score_gemma":0.023505792,"threshold_uncertainty_score":0.059665382},"labels":[],"label_agreement":null},{"id":"W4376131947","doi":"10.2196/44295","title":"Psychological Support Strategies for Adults With Type 2 Diabetes in a Very Low–Carbohydrate Web-Based Program: Randomized Controlled Trial","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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 Center for Complementary and Integrative Health; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Glycemic; Medicine; Type 2 diabetes; Randomized controlled trial; Metformin; Overweight; Weight loss; Glycemic index; Diabetes mellitus; Physical therapy; Internal medicine; Obesity; Endocrinology","score_opus":0.016983356966515525,"score_gpt":0.3178653295928945,"score_spread":0.30088197262637895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376131947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95030516,0.016189395,0.0014562467,0.0013918506,0.0020459348,0.023240842,0.0020121266,0.0002953749,0.0030630764],"genre_scores_gemma":[0.94503546,0.007901767,0.00469438,0.0019110866,0.0010726904,0.035583723,0.0008893135,0.000023062812,0.002888529],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9985812,0.00071627565,0.00017867588,0.00023196278,0.00013118716,0.00016075486],"domain_scores_gemma":[0.99880147,0.0004323024,0.00025355018,0.00007411171,0.000089305046,0.00034934407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018814721,0.0012655762,0.0038837958,0.0008423144,0.00077541167,0.0012998651,0.0011394145,0.0023498624,0.009148331],"category_scores_gemma":[0.0032231063,0.0007039781,0.0029338622,0.0008148999,0.0008402542,0.0009933435,0.00083273224,0.0026795631,0.00069553166],"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":[0.9506985,0.01667892,0.0006999775,0.0038054977,0.0033512102,0.00004070651,0.00007380226,0.00023078594,0.00046986336,0.0001039156,0.0006471623,0.023199657],"study_design_scores_gemma":[0.97842795,0.01870847,0.0011803003,0.00020249649,0.00086213386,0.000008628572,0.000026435431,0.0002123137,0.0000646729,0.00005985328,0.00023898928,0.000007747721],"about_ca_topic_score_codex":0.0033580225,"about_ca_topic_score_gemma":0.004969759,"teacher_disagreement_score":0.009148331,"about_ca_system_score_codex":0.0009188701,"about_ca_system_score_gemma":0.0015830428,"threshold_uncertainty_score":0.030604184},"labels":[],"label_agreement":null},{"id":"W4377966762","doi":"10.2196/46050","title":"The Promising Success of Project Extension for Community Healthcare Outcomes (ECHO) Diabetes: Case Series","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management 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":"National Institute of Diabetes and Digestive and Kidney Diseases; International Society for Pediatric and Adolescent Diabetes; National Institutes of Health; Leona M. and Harry B. Helmsley Charitable Trust","keywords":"Diabetes mellitus; Medicine; Glycemic; Diabetes management; Family medicine; Health care; Type 2 diabetes; Gerontology","score_opus":0.06922220706246537,"score_gpt":0.3794584079497821,"score_spread":0.31023620088731674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377966762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9415221,0.006249594,0.0076707057,0.010167696,0.0008428098,0.00082082127,0.00027614238,0.00015318612,0.032297004],"genre_scores_gemma":[0.99120283,0.0021440566,0.002699246,0.0014810597,0.00047951684,0.00020210122,0.000099831384,0.000028532726,0.001662919],"study_design_codex":"case_report","study_design_gemma":"case_report","domain_scores_codex":[0.99795234,0.0006308611,0.0002555871,0.0002507383,0.0003389769,0.0005715401],"domain_scores_gemma":[0.99352276,0.0022063241,0.0013430654,0.0004316145,0.0003844215,0.0021117076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012241423,0.0016282767,0.00053507957,0.001807289,0.0054188473,0.0020777055,0.0014473103,0.00483084,0.001897469],"category_scores_gemma":[0.010128246,0.0006398332,0.0009786125,0.0021777984,0.001825313,0.0017316451,0.0025074934,0.0042251786,0.0005275684],"study_design_candidate":"case_report","study_design_consensus":"case_report","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057388883,0.0004752903,0.03885954,0.00018073246,0.000035723326,0.9407161,0.0035249086,0.00030254322,0.00030640623,0.001320057,0.0031350648,0.011086161],"study_design_scores_gemma":[0.000028130817,0.00012703477,0.008290453,0.0001950611,0.000022240176,0.9840042,0.0028192454,0.00036819177,0.0003458667,0.0005059319,0.0032633864,0.00003025111],"about_ca_topic_score_codex":0.0055975374,"about_ca_topic_score_gemma":0.010993955,"teacher_disagreement_score":0.0055975374,"about_ca_system_score_codex":0.0023495324,"about_ca_system_score_gemma":0.0020290753,"threshold_uncertainty_score":0.017047107},"labels":[],"label_agreement":null},{"id":"W4378172515","doi":"10.2196/47592","title":"An “All-Data-on-Hand” Deep Learning Model to Predict Hospitalization for Diabetic Ketoacidosis in Youth With Type 1 Diabetes: Development and Validation Study","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","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":"Leona M. and Harry B. Helmsley Charitable Trust","keywords":"Diabetic ketoacidosis; Medicine; Type 1 diabetes; Cohort; Pediatrics; Anthropometry; Diabetes mellitus; Demographics; Type 2 diabetes; Receiver operating characteristic; Emergency medicine; Demography; Internal medicine","score_opus":0.01954559300958336,"score_gpt":0.27155374712579416,"score_spread":0.2520081541162108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378172515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9644628,0.0007005606,0.027737975,0.0006072629,0.00014368273,0.00019775602,0.0029716878,0.0012700548,0.0019081661],"genre_scores_gemma":[0.96641344,0.00021228402,0.025374383,0.0002582751,0.00002327881,0.0001762051,0.006121171,0.000030321042,0.0013906361],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996896,0.00008877466,0.00002679619,0.00008554809,0.000042798918,0.00006655887],"domain_scores_gemma":[0.9989791,0.00041576318,0.00005949041,0.00008838207,0.00038836335,0.000068885085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016668545,0.0010704559,0.0005409747,0.00051981024,0.00027608182,0.00040658936,0.0011118726,0.00069276616,0.0013790099],"category_scores_gemma":[0.0027411492,0.000314584,0.0007437418,0.00044207115,0.00023651369,0.0006242004,0.00083635055,0.0011940951,0.00044212176],"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":[0.0011747329,0.0025485803,0.14573842,0.00023041725,0.0005959858,0.0005003473,0.00021874362,0.55096954,0.004212039,0.00065599306,0.016246526,0.27690876],"study_design_scores_gemma":[0.00005058579,0.00020600883,0.0055299327,0.000024479124,0.00003950133,0.00003330707,0.000036754598,0.9923611,0.0010943009,0.00020666332,0.00040764667,0.000009655849],"about_ca_topic_score_codex":0.029417444,"about_ca_topic_score_gemma":0.026638372,"teacher_disagreement_score":0.029417444,"about_ca_system_score_codex":0.00093825726,"about_ca_system_score_gemma":0.0017120122,"threshold_uncertainty_score":0.05849248},"labels":[],"label_agreement":null},{"id":"W4379966867","doi":"10.2196/45890","title":"Disparities in Insulin Pump Use Among Spanish-Speaking Children With Type 1 Diabetes Compared to Their Non-Hispanic White Peers: Mixed Methods Study","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":"Children's Miracle Network Hospitals","keywords":"Insulin pump; Discontinuation; Insulin; Medicine; Type 1 diabetes; Diabetes mellitus; Population; Type 2 diabetes; Demography; Internal medicine; Endocrinology; Environmental health","score_opus":0.035626585300379716,"score_gpt":0.3400794557764101,"score_spread":0.30445287047603037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379966867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99670106,0.001079256,0.00028208966,0.00012151829,0.000013056675,0.00005920855,0.00093631516,0.000004844548,0.0008025503],"genre_scores_gemma":[0.99758637,0.0007443394,0.0004248899,0.0001636794,0.000020190488,0.0001387973,0.00069989735,0.0000050568583,0.00021678396],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99803466,0.0008684344,0.00019312838,0.0002882029,0.0003725751,0.0002429767],"domain_scores_gemma":[0.9967632,0.00094186905,0.0014043808,0.00024638898,0.00039422553,0.00024983642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025844984,0.00038716302,0.0005234972,0.0015304579,0.00065291824,0.0011290283,0.00057464675,0.00042873147,0.002006881],"category_scores_gemma":[0.0050016795,0.00030719492,0.0011300235,0.0017901055,0.00031566943,0.00060536474,0.00069429755,0.00042795055,0.00018766013],"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":[0.000094251125,0.000077199285,0.99661237,0.00005384098,0.00023181032,0.000041514082,0.00043786413,0.000014519821,0.0000677553,0.000035527642,0.00015945725,0.002173792],"study_design_scores_gemma":[0.000033294735,0.00020205094,0.9957279,0.00012390257,0.00018242991,0.00022133571,0.0025852788,0.00019827977,0.000115290946,0.00005277005,0.0005466552,0.000010818582],"about_ca_topic_score_codex":0.023309434,"about_ca_topic_score_gemma":0.027923811,"teacher_disagreement_score":0.023309434,"about_ca_system_score_codex":0.00079162885,"about_ca_system_score_gemma":0.0007230303,"threshold_uncertainty_score":0.0463475},"labels":[],"label_agreement":null},{"id":"W4380730879","doi":"10.2196/42607","title":"Glycemic Control, Renal Progression, and Use of Telemedicine Phone Consultations Among Japanese Patients With Type 2 Diabetes Mellitus During the COVID-19 Pandemic: Retrospective Cohort Study","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"","keywords":"Medicine; Glycemic; Telemedicine; Retrospective cohort study; Glycated hemoglobin; Diabetes mellitus; Type 2 Diabetes Mellitus; Logistic regression; Internal medicine; Cohort; Pandemic; Multivariate analysis; Outpatient clinic; Type 2 diabetes; Coronavirus disease 2019 (COVID-19); Emergency medicine; Pediatrics; Health care; Disease","score_opus":0.020487035443598957,"score_gpt":0.3244491153947291,"score_spread":0.3039620799511301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380730879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993523,0.000163601,0.00004049069,0.000010362497,0.000003549497,0.000019292938,0.0002716295,0.0000015036327,0.00013726763],"genre_scores_gemma":[0.9992705,0.000112525115,0.000068358655,0.000029856365,0.000011093202,0.00002876466,0.0004017443,0.0000015739554,0.00007566606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938595,0.00008628441,0.00010347535,0.00021017592,0.00009828244,0.00011570832],"domain_scores_gemma":[0.99890184,0.00010830821,0.0004756934,0.00011594846,0.00014849874,0.00024969052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006085398,0.00040499313,0.00060332887,0.0009983858,0.000719462,0.00069543556,0.00046726924,0.00057789095,0.000951343],"category_scores_gemma":[0.0012498844,0.0006003475,0.000913059,0.001846682,0.00030800106,0.00067409314,0.0004851505,0.0005992882,0.00017357226],"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":[0.00007448771,0.000032113545,0.9993573,0.0000102917265,0.000044499648,0.0000512116,0.000067783876,0.000011533038,0.00007188996,0.000002573084,0.000029175955,0.00024712892],"study_design_scores_gemma":[0.000009615329,0.00012059284,0.99921715,0.000005240263,0.00005967906,0.00017258615,0.00023757225,0.00008072789,0.000019461955,0.0000036114889,0.00006893233,0.0000049022233],"about_ca_topic_score_codex":0.019914083,"about_ca_topic_score_gemma":0.019511111,"teacher_disagreement_score":0.019914083,"about_ca_system_score_codex":0.0005436839,"about_ca_system_score_gemma":0.00058519567,"threshold_uncertainty_score":0.03959638},"labels":[],"label_agreement":null},{"id":"W4384626143","doi":"10.2196/44283","title":"Experiences and Perceptions of Telehealth Visits in Diabetes Care During and After the COVID-19 Pandemic Among Adults With Type 2 Diabetes and Their Providers: Qualitative Study","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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":"National Institutes of Health; National Center for Advancing Translational Sciences; American Association of Nurse Practitioners","keywords":"Telehealth; Medicine; Thematic analysis; Pandemic; Qualitative research; Family medicine; Nursing; Telemedicine; Health care; Gerontology; Coronavirus disease 2019 (COVID-19); Disease","score_opus":0.018045382571833753,"score_gpt":0.33102914450428517,"score_spread":0.3129837619324514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384626143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960967,0.0005202919,0.00042268643,0.0010983986,0.000032084958,0.0000888979,0.00013174028,0.0000053185336,0.001603956],"genre_scores_gemma":[0.9976433,0.00053182594,0.00032498213,0.00054784986,0.000016144733,0.00013928526,0.00005449539,0.000006252895,0.0007358348],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.995999,0.0027218256,0.00013803646,0.00023011398,0.0002438921,0.0006671841],"domain_scores_gemma":[0.99143785,0.005886534,0.00092271116,0.00015334175,0.0005237322,0.0010759034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005350204,0.00034652324,0.0005936077,0.00075174175,0.0058065546,0.0028686926,0.0011351639,0.0014194484,0.0022668615],"category_scores_gemma":[0.009582633,0.0005464895,0.00053477363,0.0010041107,0.0037362224,0.002602549,0.0035315445,0.002143348,0.00013976102],"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":[0.000036077443,0.000046048714,0.0071987016,0.000104442144,0.000005405105,0.0006962285,0.9888235,0.000019290286,0.0003636146,0.00024891278,0.0002776984,0.0021800885],"study_design_scores_gemma":[0.0000026158032,0.000033901877,0.0029151258,0.00008041225,0.0000030706274,0.00016196092,0.99542123,0.000028904076,0.00006908119,0.000032022315,0.0012466566,0.0000050549093],"about_ca_topic_score_codex":0.013534849,"about_ca_topic_score_gemma":0.023568125,"teacher_disagreement_score":0.013534849,"about_ca_system_score_codex":0.0033396992,"about_ca_system_score_gemma":0.0031182186,"threshold_uncertainty_score":0.02829492},"labels":[],"label_agreement":null},{"id":"W4384923633","doi":"10.2196/44943","title":"User Retention and Engagement in the Digital-Based Diabetes Education and Self-Management for Ongoing and Newly Diagnosed (myDESMOND) Program: Descriptive Longitudinal Study","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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":"NIHR Leicester Biomedical Research Centre; University of Leicester; National Institute for Health and Care Research; University Hospitals of Leicester NHS Trust","keywords":"Psychosocial; Psychological intervention; Hazard ratio; Descriptive statistics; Proportional hazards model; Retention rate; Longitudinal study; Medicine; Ethnic group; Gerontology; Psychology; Computer science; Nursing; Confidence interval; Internal medicine; Psychiatry","score_opus":0.03367736494319233,"score_gpt":0.3130382530781599,"score_spread":0.27936088813496757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384923633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99761033,0.000115464194,0.00013904918,0.00004988191,0.0000036233369,0.00008116208,0.0015610346,0.0000047264525,0.0004347356],"genre_scores_gemma":[0.9967636,0.00014805968,0.00029021013,0.00007913984,0.0000105213685,0.00022386618,0.0018346095,0.000005427426,0.0006444884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992317,0.000186839,0.0001037181,0.00012985725,0.00018463813,0.00016317086],"domain_scores_gemma":[0.9961559,0.00071041443,0.0018263804,0.00026176716,0.00053543743,0.00051007373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022208295,0.00018030647,0.00030957136,0.0010663301,0.00078388944,0.00094412145,0.0006702534,0.00031860193,0.0022618899],"category_scores_gemma":[0.005038484,0.00029821027,0.00068289775,0.001157396,0.00031012317,0.00120254,0.0012516816,0.0010286734,0.0004268218],"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":[0.00015887796,0.00028121172,0.99482393,0.00003376219,0.000058905334,0.000027951373,0.0007102027,0.000033126034,0.00004975758,0.000038777747,0.0004033088,0.0033801452],"study_design_scores_gemma":[0.000015346677,0.00035950143,0.9964059,0.00006180585,0.000042243137,0.0000995287,0.0018343475,0.0003130873,0.000062760344,0.000030244384,0.0007625139,0.00001261399],"about_ca_topic_score_codex":0.017608596,"about_ca_topic_score_gemma":0.021091314,"teacher_disagreement_score":0.017608596,"about_ca_system_score_codex":0.000727567,"about_ca_system_score_gemma":0.0010281374,"threshold_uncertainty_score":0.035012186},"labels":[],"label_agreement":null},{"id":"W4385852268","doi":"10.2196/47638","title":"Impact of a Combined Continuous Glucose Monitoring–Digital Health Solution on Glucose Metrics and Self-Management Behavior for Adults With Type 2 Diabetes: Real-World, Observational Study","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Dexcom","keywords":"Glycemic; Medicine; Type 2 diabetes; Continuous glucose monitoring; Blood Glucose Self-Monitoring; Diabetes mellitus; Type 1 diabetes; Diabetes management; Coaching; Observational study; Health coaching; Physical therapy; Internal medicine; Endocrinology; Psychology; Randomized controlled trial","score_opus":0.06752395081840867,"score_gpt":0.42805976828308373,"score_spread":0.36053581746467506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385852268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985084,0.00013634303,0.00007508123,0.00006869784,0.000010474934,0.00022340016,0.0005688604,0.000006726256,0.0004019443],"genre_scores_gemma":[0.99703145,0.00019436106,0.0005816184,0.00026255476,0.000049476894,0.0005211411,0.0010944421,0.0000068604363,0.00025808223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99666035,0.0013628363,0.00039727837,0.0006186058,0.0005774952,0.00038342437],"domain_scores_gemma":[0.9926144,0.0016347184,0.0028645252,0.0005393716,0.0008410176,0.0015060701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036254402,0.0006336675,0.00088241126,0.0008171137,0.0013927321,0.0015985706,0.00076141657,0.0013386008,0.0023905798],"category_scores_gemma":[0.008921185,0.0008113443,0.0019861932,0.0014021725,0.00055040675,0.0019320853,0.0016768809,0.0024043084,0.0005390409],"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":[0.004441374,0.02025089,0.9607721,0.00024313407,0.0010008967,0.00010002621,0.00087365764,0.00017514528,0.00019910657,0.000031572712,0.0012368563,0.010675305],"study_design_scores_gemma":[0.0011478796,0.012972644,0.98216474,0.00009524777,0.0005072395,0.00015551745,0.0011288545,0.000785675,0.00012638333,0.00003558352,0.00083795947,0.000042305906],"about_ca_topic_score_codex":0.010985513,"about_ca_topic_score_gemma":0.014909235,"teacher_disagreement_score":0.010985513,"about_ca_system_score_codex":0.0011537106,"about_ca_system_score_gemma":0.0012469147,"threshold_uncertainty_score":0.021843135},"labels":[],"label_agreement":null},{"id":"W4386084105","doi":"10.2196/46880","title":"Long-Term Benefits of an Integrated Continuous Glucose Monitoring and Insulin Pump System for Emergency Admissions, Hospitalization, and Metabolic Control in a Cohort of People With Diabetes: Retrospective Cohort Study","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"Medicine; Glycated hemoglobin; Glycemic; Insulin pump; Diabetes mellitus; Hypoglycemia; Insulin; Retrospective cohort study; Metabolic control analysis; Cohort; Population; Diabetes management; Incidence (geometry); Internal medicine; Emergency medicine; Type 1 diabetes; Pediatrics; Type 2 diabetes; Endocrinology","score_opus":0.008916740247012198,"score_gpt":0.27772233625822007,"score_spread":0.26880559601120785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386084105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99929345,0.00020214674,0.000057729678,0.000015510564,0.000007593653,0.00001279997,0.00028744523,0.0000017199759,0.000121528814],"genre_scores_gemma":[0.9992341,0.00016910312,0.000069832444,0.000020745529,0.000012569714,0.000013826383,0.00041202895,0.0000015804409,0.00006628877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989705,0.00021057879,0.00013069261,0.00028651554,0.00021896165,0.0001827744],"domain_scores_gemma":[0.9978668,0.00023962151,0.0010118398,0.00028057426,0.0002279126,0.000373298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013155544,0.00037656428,0.0005717632,0.0010974779,0.00068855355,0.0009499309,0.00049973413,0.00058909314,0.0008035662],"category_scores_gemma":[0.0024416267,0.0005387284,0.0014773043,0.001388891,0.00033861754,0.0006789335,0.0007190066,0.0008989353,0.00019462171],"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":[0.00013351726,0.000039052145,0.99933475,0.0000040001064,0.0000922613,0.00004147532,0.000027491214,0.000010204679,0.000046821657,0.0000037564623,0.00002199637,0.00024455428],"study_design_scores_gemma":[0.000013874137,0.0002640804,0.9990048,0.000007744703,0.000099247976,0.00023025901,0.00018128735,0.00008735255,0.00003040119,0.000006504128,0.000069230045,0.000005331981],"about_ca_topic_score_codex":0.00915638,"about_ca_topic_score_gemma":0.00814878,"teacher_disagreement_score":0.00915638,"about_ca_system_score_codex":0.00051152916,"about_ca_system_score_gemma":0.0005996293,"threshold_uncertainty_score":0.01820618},"labels":[],"label_agreement":null},{"id":"W4386746472","doi":"10.2196/43979","title":"Supporting the Management of Gestational Diabetes Mellitus With Comprehensive Self-Tracking: Mixed Methods Study of Wearable Sensors","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Gestational Diabetes Research and Management","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":"Business Finland","keywords":"Gestational diabetes; Wearable computer; Logbook; Activity tracker; mHealth; Telehealth; Medicine; Psychological intervention; Telemedicine; Self-management; Physical activity; Coaching; Diabetes mellitus; Diabetes management; Wearable technology; Health care; Computer science; Physical therapy; Psychology; Nursing; Pregnancy; Type 2 diabetes; Artificial intelligence","score_opus":0.03140456328877556,"score_gpt":0.3793156643836364,"score_spread":0.34791110109486084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386746472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915479,0.0008939786,0.0031981983,0.00011802025,0.000022395294,0.0033323115,0.00016019556,0.000007794598,0.00071938324],"genre_scores_gemma":[0.96188295,0.0014175383,0.019949002,0.00062928983,0.00004440828,0.014875955,0.00023979796,0.000012703289,0.000948394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9885594,0.008428846,0.0010495046,0.0007766846,0.00071028445,0.0004752217],"domain_scores_gemma":[0.9906508,0.005963416,0.0013744079,0.00065182126,0.0009746499,0.00038495526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01608362,0.00068666204,0.0008743165,0.0009080557,0.0011390152,0.0014165653,0.00094026135,0.0008692121,0.0018093875],"category_scores_gemma":[0.014631797,0.0006409752,0.0013719413,0.0010703166,0.000628238,0.0011092378,0.0012232763,0.00053324184,0.00025375639],"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":[0.008146681,0.038892686,0.49719492,0.0075497786,0.0023812822,0.0008732064,0.15112492,0.0007042633,0.0073827137,0.0016655513,0.0013529735,0.28273106],"study_design_scores_gemma":[0.006352769,0.10461049,0.65086335,0.004350769,0.0036535354,0.0012408533,0.19344369,0.0071137734,0.0075826747,0.0027602196,0.017563924,0.00046398863],"about_ca_topic_score_codex":0.0031143378,"about_ca_topic_score_gemma":0.0050762715,"teacher_disagreement_score":0.01608362,"about_ca_system_score_codex":0.0010078067,"about_ca_system_score_gemma":0.0022256717,"threshold_uncertainty_score":0.085059285},"labels":[],"label_agreement":null},{"id":"W4387169030","doi":"10.2196/42100","title":"Assessing the Content Validity, Acceptability, and Feasibility of the Hypo-METRICS App: Survey and Interview Study","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Diabetes Victoria; Medizinische Universität Graz; Université de Lausanne; Karl-Franzens-Universität Graz; Syddansk Universitet; Novo Nordisk; Radboud Universitair Medisch Centrum; Università degli Studi di Padova; Deakin University; Sanofi; European Commission; Leona M. and Harry B. Helmsley Charitable Trust; King's College London; Juvenile Diabetes Research Foundation United States of America; European Federation of Pharmaceutical Industries and Associations; Abbott Laboratories; Abbott Diabetes Care; University of Dundee; Eli Lilly and Company","keywords":"Content validity; Content (measure theory); Psychology; Psychometrics; Mathematics; Clinical psychology","score_opus":0.5113192165037671,"score_gpt":0.5278529171725748,"score_spread":0.01653370066880766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387169030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871169,0.0001161506,0.0040261606,0.000498227,0.000029086428,0.006161695,0.0004275432,0.000027482385,0.001596815],"genre_scores_gemma":[0.9544496,0.00048765735,0.013800726,0.00095527765,0.000041842923,0.028831087,0.0005631679,0.000034239183,0.000836284],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.96062994,0.025946623,0.0042447126,0.0017937233,0.0047716075,0.0026132565],"domain_scores_gemma":[0.89889956,0.060228467,0.009034242,0.0027645794,0.026632195,0.002441014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08164032,0.00051054906,0.00087593537,0.0028984617,0.001901311,0.0024085464,0.0011194774,0.0011461627,0.0015504785],"category_scores_gemma":[0.10905578,0.0007673396,0.001299568,0.0022162728,0.0023995978,0.002460843,0.003457566,0.0018917063,0.00061076577],"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":[0.00059266423,0.0024216918,0.35721368,0.0016930012,0.00016317598,0.0006028896,0.5682942,0.0004078246,0.0039871354,0.0010134977,0.002831625,0.060778618],"study_design_scores_gemma":[0.0003598181,0.006420685,0.35146993,0.0017540795,0.00018605731,0.00093274465,0.60608244,0.0053886957,0.0037809263,0.0012059878,0.02219331,0.00022535135],"about_ca_topic_score_codex":0.0035390109,"about_ca_topic_score_gemma":0.0039547216,"teacher_disagreement_score":0.08164032,"about_ca_system_score_codex":0.0043867184,"about_ca_system_score_gemma":0.0064488202,"threshold_uncertainty_score":0.43176043},"labels":[],"label_agreement":null},{"id":"W4387564167","doi":"10.2196/46654","title":"An Evidence-Based Framework for Creating Inclusive and Personalized mHealth Solutions—Designing a Solution for Medicaid-Eligible Pregnant Individuals With Uncontrolled Type 2 Diabetes","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Agency for Healthcare Research and Quality; Ohio State University","keywords":"mHealth; Personalization; Medicaid; Personalized medicine; Medicine; Type 2 diabetes; Internet privacy; Psychology; Computer science; Health care; Nursing; Diabetes mellitus; World Wide Web; Bioinformatics; Psychological intervention","score_opus":0.08155376333728478,"score_gpt":0.443733761116898,"score_spread":0.3621799977796132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387564167","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009365311,0.034941018,0.46009225,0.3281816,0.0025403143,0.019324489,0.001139538,0.0008131858,0.14360227],"genre_scores_gemma":[0.068816885,0.013751647,0.88925195,0.013847348,0.0002870307,0.0100250365,0.0004824873,0.0000873382,0.0034503408],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.8770741,0.09090258,0.012905598,0.004184763,0.012107141,0.002825825],"domain_scores_gemma":[0.9089955,0.060828913,0.0054813186,0.004230734,0.015420679,0.0050427937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.117037,0.003986785,0.0023828298,0.016744146,0.0074453065,0.01776019,0.009848354,0.014757746,0.006831512],"category_scores_gemma":[0.10319402,0.001967578,0.0049522794,0.005225757,0.01591612,0.010945414,0.017453939,0.012203212,0.002899763],"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":[0.00020810096,0.0011663691,0.004568347,0.022541206,0.0004914179,0.0012159619,0.014196037,0.006901594,0.0013872888,0.6050352,0.026459226,0.31582922],"study_design_scores_gemma":[0.000539933,0.0010160479,0.0029547454,0.09810252,0.0012872302,0.0010807212,0.017130421,0.0094491085,0.003397319,0.47756588,0.38717645,0.00029962612],"about_ca_topic_score_codex":0.010643268,"about_ca_topic_score_gemma":0.019963441,"teacher_disagreement_score":0.117037,"about_ca_system_score_codex":0.013346814,"about_ca_system_score_gemma":0.07269033,"threshold_uncertainty_score":0.61895823},"labels":[],"label_agreement":null},{"id":"W4387865565","doi":"10.2196/40968","title":"Perspectives and Needs of Malaysian Patients With Diabetes for a Mobile Health App Support on Self-Management of Diabetes: Qualitative Study","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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":"Pusat Pengurusan Penyelidikan dan Inovasi, Universiti Utara Malaysia; University of Tokyo","keywords":"mHealth; Thematic analysis; Self-management; Diabetes management; Qualitative research; Psychology; Applied psychology; Medicine; Diabetes mellitus; Nursing; Medical education; Gerontology; Psychological intervention; Type 2 diabetes; Computer science","score_opus":0.02411988475954839,"score_gpt":0.416557612643475,"score_spread":0.3924377278839266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387865565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963948,0.0005463386,0.000310515,0.0010334551,0.000026715617,0.00007378551,0.00011695786,0.000003823919,0.0014935054],"genre_scores_gemma":[0.9963767,0.00095099484,0.0004250531,0.0007110816,0.000015940972,0.00012621628,0.000060941435,0.0000045360034,0.0013285787],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99853945,0.0008121261,0.00006250743,0.000095140356,0.00012908978,0.0003617154],"domain_scores_gemma":[0.9975153,0.0015294553,0.00025100974,0.000040354716,0.00021290655,0.00045098673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022908486,0.000310046,0.00042127137,0.0005862804,0.003325091,0.0014913148,0.0006023139,0.0006983129,0.0025300076],"category_scores_gemma":[0.003688773,0.00031809963,0.00044603104,0.00064228504,0.0013915071,0.0015581835,0.0020993142,0.0012277289,0.00020172936],"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":[0.00009562517,0.00018289803,0.023587173,0.00042126668,0.0000151762115,0.0021095437,0.9569443,0.000057830857,0.0016052689,0.00051312393,0.0010464449,0.013421378],"study_design_scores_gemma":[0.000004676479,0.00010565371,0.006824852,0.00017027667,0.000008576371,0.0006373515,0.98720646,0.00008597396,0.0002604238,0.00008176013,0.004599398,0.00001462813],"about_ca_topic_score_codex":0.004753652,"about_ca_topic_score_gemma":0.010489621,"teacher_disagreement_score":0.004753652,"about_ca_system_score_codex":0.002190018,"about_ca_system_score_gemma":0.0023513015,"threshold_uncertainty_score":0.015889823},"labels":[],"label_agreement":null},{"id":"W4388982272","doi":"10.2196/49113","title":"A Machine Learning Web App to Predict Diabetic Blood Glucose Based on a Basic Noninvasive Health Checkup, Sociodemographic Characteristics, and Dietary Information: Case Study","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Artificial Intelligence in Healthcare","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":"Japan Society for the Promotion of Science; Multimedia University","keywords":"Decision tree; Linear regression; Medicine; Diabetes mellitus; Regression analysis; Population; Regression; Artificial intelligence; Machine learning; Statistics; Computer science; Environmental health; Mathematics; Endocrinology","score_opus":0.05677314022216912,"score_gpt":0.3814811412672563,"score_spread":0.3247080010450872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388982272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8946414,0.001183212,0.057838798,0.0062484355,0.00030653007,0.0014643415,0.0055116722,0.012625599,0.020180067],"genre_scores_gemma":[0.87560374,0.0010471536,0.09803079,0.0012479688,0.00013418477,0.0007140585,0.0036249536,0.00028349325,0.019313585],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997603,0.00008243818,0.000028057675,0.00004545376,0.000054342385,0.000029449937],"domain_scores_gemma":[0.9983241,0.0012580673,0.000081369304,0.000062746265,0.00013638366,0.00013731813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082810404,0.00080023304,0.0004279879,0.00097555586,0.0003977779,0.0005567295,0.0009295673,0.0012229035,0.007061381],"category_scores_gemma":[0.0021665567,0.00023912989,0.0004433482,0.0006443774,0.00017693905,0.0006927256,0.0005377393,0.0007002889,0.0022968987],"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":[0.0016539599,0.011313262,0.24547555,0.00085871265,0.0002004578,0.050883923,0.002088368,0.035263587,0.0055424,0.0017529927,0.06932388,0.5756428],"study_design_scores_gemma":[0.00070529524,0.0036222332,0.12967141,0.00057513296,0.00030579578,0.023482611,0.0033200225,0.7531384,0.011648698,0.0049839374,0.06821766,0.00032884593],"about_ca_topic_score_codex":0.0042134007,"about_ca_topic_score_gemma":0.006953291,"teacher_disagreement_score":0.007061381,"about_ca_system_score_codex":0.0003774306,"about_ca_system_score_gemma":0.00050506793,"threshold_uncertainty_score":0.023622692},"labels":[],"label_agreement":null},{"id":"W4389038265","doi":"10.2196/47224","title":"Health Outcomes Following Engagement With a Digital Health Tool Among People With Prediabetes and Type 2 Diabetes: Prospective Evaluation Study","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Prediabetes; Digital health; Medicine; Quality of life (healthcare); Gerontology; Socioeconomic status; Health care; Family medicine; Type 2 diabetes; Environmental health; Diabetes mellitus; Nursing; Population","score_opus":0.0347535371843199,"score_gpt":0.4068345932641083,"score_spread":0.3720810560797884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389038265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924791,0.0010493268,0.00014867604,0.00013675548,0.000032556083,0.0013384417,0.0034965773,0.000010579275,0.0013080442],"genre_scores_gemma":[0.9886756,0.001049032,0.00095518044,0.00030581836,0.00007316139,0.0031548971,0.0049685757,0.0000077493405,0.00080998073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99784136,0.00076034525,0.00039274988,0.00031313553,0.0004003205,0.00029212868],"domain_scores_gemma":[0.9951798,0.000899959,0.002000236,0.00028998285,0.0008251355,0.0008050664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003916499,0.0006432361,0.0009857175,0.0012092774,0.0011498333,0.0015408458,0.0006555345,0.0010170523,0.0023719661],"category_scores_gemma":[0.0055732196,0.00060408755,0.0031077703,0.0020272618,0.0004209352,0.0011755516,0.0014688952,0.0016109914,0.0006385135],"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":[0.007502612,0.0054904134,0.96912766,0.0007485056,0.0015770755,0.00012182994,0.000486868,0.0001258701,0.0000970302,0.00006298563,0.0011831158,0.013476121],"study_design_scores_gemma":[0.0013146454,0.0066163493,0.98876965,0.00020739723,0.000951284,0.0001310364,0.0006045901,0.0002758513,0.00006348852,0.000050443206,0.000980695,0.000034544486],"about_ca_topic_score_codex":0.005007309,"about_ca_topic_score_gemma":0.007100129,"teacher_disagreement_score":0.005007309,"about_ca_system_score_codex":0.00086410623,"about_ca_system_score_gemma":0.0011020588,"threshold_uncertainty_score":0.020712674},"labels":[],"label_agreement":null},{"id":"W4389705372","doi":"10.2196/52987","title":"The Potential of a Digital Weight Management Program to Support Specialist Weight Management Services in the UK National Health Service: Retrospective Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"","keywords":"Weight loss; Weight management; Medicine; Type 2 diabetes; Obesity; Psychological intervention; Overweight; Gerontology; Retrospective cohort study; Demography; Diabetes mellitus; Nursing; Internal medicine","score_opus":0.018810300497359614,"score_gpt":0.39099187024824117,"score_spread":0.37218156975088157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389705372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99556977,0.0007632398,0.00025289351,0.00015380823,0.000011765828,0.00029774618,0.0020263544,0.000007581637,0.0009168214],"genre_scores_gemma":[0.99727803,0.00045258153,0.00029646792,0.00016242375,0.000015833131,0.0003355784,0.0012164263,0.0000075415683,0.00023521016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99086326,0.0029134988,0.0023328015,0.00086640945,0.0019869893,0.0010370594],"domain_scores_gemma":[0.9755779,0.006091389,0.010635513,0.0022932615,0.0037024799,0.0016994025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059854174,0.0003598037,0.0005823291,0.0023521127,0.00092011766,0.001608288,0.0010080324,0.00069789006,0.0019798656],"category_scores_gemma":[0.027767591,0.0007032067,0.0012867808,0.004065814,0.0009180952,0.001206788,0.002644749,0.0012288287,0.00037374254],"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":[0.0003270995,0.0001174511,0.9931283,0.00017861411,0.00013284454,0.00017657579,0.0009944057,0.00007999362,0.00004425346,0.000045550485,0.00042307464,0.004351786],"study_design_scores_gemma":[0.000040460036,0.0005447815,0.99550456,0.00016916537,0.00015141719,0.00041089178,0.0016658846,0.00032366748,0.000072730756,0.000024589895,0.0010736919,0.000018123603],"about_ca_topic_score_codex":0.073565826,"about_ca_topic_score_gemma":0.06448371,"teacher_disagreement_score":0.073565826,"about_ca_system_score_codex":0.00428991,"about_ca_system_score_gemma":0.0036730901,"threshold_uncertainty_score":0.14627528},"labels":[],"label_agreement":null},{"id":"W4389949407","doi":"10.2196/49097","title":"Barriers and Enablers to the Adoption of a Healthier Diet Using an App: Qualitative Interview Study With Patients With Type 2 Diabetes Mellitus","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"University College London","keywords":"Thematic analysis; Glycemic; Qualitative research; Type 2 diabetes; Diabetes mellitus; Medicine; Diabetes management; Psychology; Gerontology; Behaviour change; Nursing; Family medicine; Intervention (counseling)","score_opus":0.07388129971289158,"score_gpt":0.43555119049832686,"score_spread":0.36166989078543527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389949407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941386,0.0004862664,0.0015420163,0.0018294432,0.00004539074,0.00037934823,0.00015665697,0.000010406936,0.0014117892],"genre_scores_gemma":[0.9948133,0.0007748466,0.001435719,0.0009608875,0.00001799879,0.000828214,0.00008690065,0.000012217734,0.0010699109],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9915428,0.005903091,0.00039101325,0.00041847985,0.00045253854,0.0012920462],"domain_scores_gemma":[0.97545105,0.018550904,0.001579157,0.00036589633,0.0018965786,0.0021563934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014159001,0.0006419222,0.00093065517,0.0015246549,0.0067459866,0.0031792026,0.0015620741,0.0018073278,0.0022055684],"category_scores_gemma":[0.022205442,0.00086429477,0.0007636652,0.001471589,0.004908633,0.0028482582,0.0049019014,0.0036820476,0.0003060974],"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":[0.00004052934,0.000062872045,0.0039926,0.0001371388,0.000005153189,0.00043595754,0.9925085,0.00003744353,0.0004264357,0.00025200486,0.00021727737,0.0018840634],"study_design_scores_gemma":[0.0000064179503,0.0000643943,0.0015081876,0.000114951144,0.0000045912975,0.00012573235,0.996027,0.000078250494,0.00014573445,0.00010027594,0.00181246,0.000012014691],"about_ca_topic_score_codex":0.011044767,"about_ca_topic_score_gemma":0.015323519,"teacher_disagreement_score":0.014159001,"about_ca_system_score_codex":0.0058789337,"about_ca_system_score_gemma":0.0061386973,"threshold_uncertainty_score":0.0748809},"labels":[],"label_agreement":null},{"id":"W4390016045","doi":"10.2196/46096","title":"Effectiveness of a Continuous Remote Temperature Monitoring Program to Reduce Foot Ulcers and Amputations: Multicenter Postmarket Registry Study","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetic Foot Ulcer Assessment and Management","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":"Medicine; Podiatry; Foot (prosody); Diabetic foot; Amputation; Psychological intervention; Emergency medicine; Medical prescription; Diabetes mellitus; Physical therapy; Surgery; Alternative medicine","score_opus":0.01219299525323858,"score_gpt":0.3358851219227381,"score_spread":0.32369212666949954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390016045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980444,0.00037969358,0.00018690836,0.000097181844,0.000013808524,0.00018418918,0.00075955695,0.000012727586,0.00032162922],"genre_scores_gemma":[0.9984736,0.00017270428,0.00022374182,0.00009128631,0.000047360518,0.0001259214,0.00080783956,0.0000046341947,0.000052797055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99311453,0.00462233,0.00041093078,0.0008824644,0.00059878296,0.00037095643],"domain_scores_gemma":[0.98227906,0.0056857886,0.008053803,0.0015144775,0.0008232525,0.0016435273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008487201,0.00057170924,0.0007973934,0.0008724681,0.00040315688,0.000900623,0.0010057541,0.0008882293,0.0018488546],"category_scores_gemma":[0.013869112,0.0003579975,0.0016325474,0.0013134223,0.0004176879,0.00088997104,0.0007766271,0.0008648876,0.0001909149],"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":[0.030729877,0.006195451,0.94224316,0.00029006248,0.0025580146,0.000116474046,0.00014994836,0.0004889763,0.00048047357,0.000097222895,0.0009406131,0.015709728],"study_design_scores_gemma":[0.007037389,0.014937291,0.9733253,0.00007154817,0.0015944517,0.00016662822,0.00015966207,0.0019046133,0.00028973943,0.00006277844,0.00042547486,0.000025129042],"about_ca_topic_score_codex":0.001683469,"about_ca_topic_score_gemma":0.0015708767,"teacher_disagreement_score":0.008487201,"about_ca_system_score_codex":0.00068162696,"about_ca_system_score_gemma":0.0010603322,"threshold_uncertainty_score":0.0448851},"labels":[],"label_agreement":null},{"id":"W4390353679","doi":"10.2196/45536","title":"COVID-19 Vaccination Reactions and Risk of Breakthrough Infections Among People With Diabetes: Cohort Study Derived From Community Reporters","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"SARS-CoV-2 and COVID-19 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":"Coronavirus disease 2019 (COVID-19); Diabetes mellitus; Medicine; Exploratory research; Vaccination; Cohort study; Cohort; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Environmental health; Virology; Internal medicine; Outbreak; Disease; Infectious disease (medical specialty)","score_opus":0.029232082952023244,"score_gpt":0.34098751531692817,"score_spread":0.31175543236490494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390353679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99821705,0.00011008024,0.00009488297,0.000026623926,0.000007328726,0.000045614568,0.001096837,0.0000027779804,0.00039874486],"genre_scores_gemma":[0.99826163,0.0001402064,0.00014551695,0.00006142783,0.0000125646575,0.000058581598,0.0010670577,0.0000034368736,0.0002494037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912816,0.00023094636,0.00010699714,0.00018960117,0.00019126563,0.00015307381],"domain_scores_gemma":[0.9972723,0.00031398656,0.0012867004,0.00031633602,0.00044680038,0.00036396465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015628285,0.00034669178,0.00034086956,0.0014393328,0.00084645685,0.0011210073,0.0005697773,0.00044697445,0.0017447701],"category_scores_gemma":[0.0038822244,0.0004995798,0.00088728743,0.0017697857,0.00025030557,0.00068398425,0.00097528024,0.00090162194,0.00051014486],"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":[0.00005276527,0.00004581494,0.999159,0.000007768424,0.000032532982,0.000027085209,0.00017165462,0.0000041159033,0.000057663976,0.0000054929737,0.000055584038,0.0003805329],"study_design_scores_gemma":[0.000012133423,0.00015439253,0.99858874,0.000015066226,0.000041623276,0.00016694098,0.0007330449,0.000066397566,0.000037326095,0.000008498612,0.0001711078,0.0000047130566],"about_ca_topic_score_codex":0.022483734,"about_ca_topic_score_gemma":0.019934317,"teacher_disagreement_score":0.022483734,"about_ca_system_score_codex":0.00036457164,"about_ca_system_score_gemma":0.00047515603,"threshold_uncertainty_score":0.04470575},"labels":[],"label_agreement":null},{"id":"W4391024262","doi":"10.2196/48019","title":"Effects of Digitization of Self-Monitoring of Blood Glucose Records Using a Mobile App and the Cloud System on Outpatient Management of Diabetes: Single-Armed Prospective Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"","keywords":"Medicine; Glycemic; Glycated hemoglobin; Psychological intervention; Diabetes management; mHealth; Diabetes mellitus; Cloud computing; Prospective cohort study; Medical record; Type 2 diabetes; Digitization; Emergency medicine; Internal medicine; Endocrinology; Nursing; Computer science","score_opus":0.01658892810635237,"score_gpt":0.33904201800991857,"score_spread":0.3224530899035662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391024262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994997,0.00015526,0.000056319946,0.000013078212,0.000011653966,0.000093257644,0.000038422986,0.0000021062763,0.00013023193],"genre_scores_gemma":[0.9991074,0.00013691424,0.00022507284,0.000060849667,0.000040523646,0.00019219436,0.0000943774,0.000002090167,0.00014059953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99668103,0.0017156375,0.00030016893,0.00054873724,0.00038415813,0.00037033446],"domain_scores_gemma":[0.9934331,0.0020340546,0.002193617,0.0007147119,0.000520583,0.0011038565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039204448,0.0008056463,0.0008881909,0.0005378387,0.0006888036,0.00094916596,0.00038052825,0.0008619541,0.0015129873],"category_scores_gemma":[0.005469239,0.00058961497,0.0018712174,0.0005677831,0.0005308656,0.000800071,0.0007138185,0.0013795169,0.00025546612],"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":[0.20144175,0.08292389,0.67949444,0.0004467328,0.003346158,0.0002174394,0.0010750259,0.00028418022,0.0032874704,0.000066824556,0.00041556088,0.027000567],"study_design_scores_gemma":[0.007201096,0.23090144,0.7559986,0.00005800124,0.0021974451,0.00016372089,0.0006502323,0.00094113575,0.0012423656,0.000051038172,0.0005406426,0.000054293545],"about_ca_topic_score_codex":0.0011226861,"about_ca_topic_score_gemma":0.0012798852,"teacher_disagreement_score":0.0039204448,"about_ca_system_score_codex":0.00045590266,"about_ca_system_score_gemma":0.0006514889,"threshold_uncertainty_score":0.020733595},"labels":[],"label_agreement":null},{"id":"W4391286648","doi":"10.2196/48310","title":"Acceptability of Mobile App–Based Motivational Interviewing and Preferences for App Features to Support Self-Management in Patients With Type 2 Diabetes: Qualitative Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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 Medical Research Council; Medical Research Council; National Research Foundation Singapore; National University of Singapore; National Research Foundation","keywords":"Motivational interviewing; Thematic analysis; Self-management; Psychological intervention; Medicine; Interview; Psychology; Applied psychology; Intervention (counseling); Qualitative research; Nursing; Medical education; Computer science","score_opus":0.02212877704908836,"score_gpt":0.3445734864061,"score_spread":0.32244470935701164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391286648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99653304,0.00035195905,0.0010743123,0.00058740965,0.000023578305,0.00032563467,0.0001299994,0.000007095253,0.00096703914],"genre_scores_gemma":[0.99560815,0.0004453991,0.001787023,0.0007101917,0.00001769184,0.0006744605,0.000091838745,0.000012273914,0.0006528519],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9934296,0.004927083,0.00026200947,0.00033106134,0.0004341075,0.0006161832],"domain_scores_gemma":[0.9854146,0.011392737,0.0009495419,0.00025536385,0.0011029516,0.0008847923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012103834,0.00037916942,0.0005338628,0.0008126833,0.002580358,0.0016028135,0.0009847193,0.00080499664,0.0016686122],"category_scores_gemma":[0.01815001,0.00040802796,0.0006714115,0.0006414962,0.0019282767,0.0014769005,0.0026537497,0.0014766494,0.00019612054],"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":[0.00020322835,0.0003759144,0.02892366,0.00069558027,0.000030361047,0.0010210152,0.9444862,0.00006526734,0.0021503044,0.00037254073,0.0007164278,0.02095952],"study_design_scores_gemma":[0.00003805118,0.0006117779,0.019288935,0.0005842824,0.00004028449,0.000717264,0.9679143,0.00037398445,0.0010207677,0.00026172338,0.009091056,0.000057604633],"about_ca_topic_score_codex":0.0023438449,"about_ca_topic_score_gemma":0.004325121,"teacher_disagreement_score":0.012103834,"about_ca_system_score_codex":0.0021782387,"about_ca_system_score_gemma":0.0022154914,"threshold_uncertainty_score":0.06401199},"labels":[],"label_agreement":null},{"id":"W4391683697","doi":"10.2196/49491","title":"Care Partner Engagement in Secure Messaging Between Patients With Diabetes and Their Clinicians: Cohort Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Electronic Health Records Systems","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":"National Center for Chronic Disease Prevention and Health Promotion; National Institute of Diabetes and Digestive and Kidney Diseases; Agency for Healthcare Research and Quality; Centers for Disease Control and Prevention; U.S. National Library of Medicine; National Institute on Aging; American Diabetes Association","keywords":"Patient portal; Glycemic; Proxy (statistics); Medicine; Cohort; Family medicine; Health care; Patient satisfaction; Diabetes mellitus; Nursing; Internal medicine; Computer science","score_opus":0.03225846000964081,"score_gpt":0.4002392010385249,"score_spread":0.36798074102888406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391683697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979905,0.00025434728,0.00011522949,0.000099552635,0.000013592726,0.00013060363,0.00091985264,0.0000031453435,0.00047323364],"genre_scores_gemma":[0.9981027,0.00019592748,0.00022541247,0.00018810887,0.00002242947,0.00026557624,0.0006981488,0.0000065297263,0.00029507163],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99761593,0.0006054208,0.0003156743,0.0006635627,0.00038990573,0.00040957239],"domain_scores_gemma":[0.9956986,0.00070315675,0.001797429,0.0005818898,0.00049317046,0.00072579004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002212462,0.00041978215,0.00058771466,0.00088565674,0.0019967544,0.0019319179,0.0007885879,0.0008362079,0.003644941],"category_scores_gemma":[0.008165029,0.0007332129,0.0010386414,0.0019063514,0.0004966136,0.0018056906,0.0021564234,0.0022701619,0.00065016834],"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":[0.0003145601,0.00030816108,0.9952473,0.00004821916,0.0001556933,0.00010337036,0.0015146529,0.000017035149,0.00008194889,0.00005737931,0.0005739144,0.0015777613],"study_design_scores_gemma":[0.00014048908,0.0007413686,0.99071515,0.00012111436,0.00021792913,0.0004808854,0.0056248046,0.0002782684,0.000069927955,0.000117164476,0.0014580834,0.00003481201],"about_ca_topic_score_codex":0.017951896,"about_ca_topic_score_gemma":0.024773667,"teacher_disagreement_score":0.017951896,"about_ca_system_score_codex":0.0008690022,"about_ca_system_score_gemma":0.0013678299,"threshold_uncertainty_score":0.035694838},"labels":[],"label_agreement":null},{"id":"W4391900911","doi":"10.2196/53835","title":"Outcomes of an Asynchronous Care Model for Chronic Conditions in a Diverse Population: 12-Month Retrospective Chart Review Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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":"Ottawa Hospital","funders":"","keywords":"Medicine; Glycemic; Telehealth; Diabetes mellitus; Ethnic group; Population; Phlebotomy; Telemedicine; Blood pressure; Health coaching; Health care; Coaching; Physical therapy; Gerontology; Family medicine; Randomized controlled trial; Internal medicine","score_opus":0.023823865629484527,"score_gpt":0.3517308396997763,"score_spread":0.3279069740702918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391900911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996123,0.00041250084,0.00016875485,0.000045617224,0.0000072082275,0.00019598675,0.0025665576,0.000008307133,0.0004719622],"genre_scores_gemma":[0.997248,0.00021343489,0.0002223573,0.000057334666,0.000015077542,0.0001629521,0.0019629952,0.0000035820292,0.00011425764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99777645,0.0006101114,0.00038917214,0.0005385203,0.00048924435,0.00019649901],"domain_scores_gemma":[0.9928018,0.0010616163,0.0035864357,0.00045759353,0.0012980725,0.0007945257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018094358,0.000273562,0.00055226363,0.0018368443,0.00082966825,0.0011332424,0.00064753066,0.000520035,0.0013467099],"category_scores_gemma":[0.004979474,0.00033308787,0.0007347822,0.0026456194,0.00035093207,0.0009520734,0.0009553081,0.000608974,0.0003107186],"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":[0.000074790005,0.00007311752,0.99858737,0.000025730553,0.00004392269,0.00006282665,0.00012677869,0.000015153139,0.000033107885,0.000007678996,0.00017558389,0.00077402306],"study_design_scores_gemma":[0.000026094249,0.00016218932,0.9986242,0.000023407049,0.000044858996,0.00018397835,0.00048455133,0.00016485267,0.00003203336,0.00000698923,0.00024098292,0.0000059609492],"about_ca_topic_score_codex":0.018529989,"about_ca_topic_score_gemma":0.022013115,"teacher_disagreement_score":0.018529989,"about_ca_system_score_codex":0.001342294,"about_ca_system_score_gemma":0.0013686611,"threshold_uncertainty_score":0.036844254},"labels":[],"label_agreement":null},{"id":"W4392231340","doi":"10.2196/55165","title":"Moderating Effect of Depression on Glycemic Control in an eHealth Intervention Among Black Youth With Type 1 Diabetes: Findings From a Multicenter Randomized Controlled Trial","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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 Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health","keywords":"Glycemic; eHealth; Type 2 diabetes; Randomized controlled trial; Depression (economics); Intervention (counseling); Medicine; Diabetes mellitus; Physical therapy; Clinical psychology; Internal medicine; Psychiatry; Endocrinology; Health care","score_opus":0.010350899211146574,"score_gpt":0.30879761624540564,"score_spread":0.29844671703425907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392231340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98865426,0.005826038,0.00043180204,0.00050889095,0.0004386992,0.0032367522,0.00028978486,0.000042811764,0.0005708774],"genre_scores_gemma":[0.98901784,0.0021904672,0.0023082148,0.00049602124,0.00037647563,0.0049211094,0.00018026376,0.000009927726,0.00049967226],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9960063,0.0027344276,0.0003915594,0.0003980407,0.00023294768,0.00023665353],"domain_scores_gemma":[0.99686843,0.0014642286,0.0007608959,0.00018845317,0.00022646211,0.000491522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005220683,0.0010853269,0.0025919173,0.000432905,0.00059255376,0.0010862605,0.0009003021,0.0016282069,0.0033558335],"category_scores_gemma":[0.007842733,0.00056530803,0.0028449735,0.00051459053,0.00085695216,0.00081678247,0.0006527938,0.0017446971,0.00020100878],"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":[0.9581049,0.011019833,0.0036803486,0.0018568245,0.0060037165,0.000044873013,0.00020819437,0.00017899666,0.0010696109,0.00008781136,0.00034423106,0.01740065],"study_design_scores_gemma":[0.91713595,0.06580046,0.008665122,0.00028138456,0.006762116,0.000023032933,0.00008393763,0.00040886604,0.0003778811,0.00009316266,0.00035167433,0.000016477308],"about_ca_topic_score_codex":0.002434354,"about_ca_topic_score_gemma":0.0038964178,"teacher_disagreement_score":0.005220683,"about_ca_system_score_codex":0.000781222,"about_ca_system_score_gemma":0.0014164168,"threshold_uncertainty_score":0.027609944},"labels":[],"label_agreement":null},{"id":"W4392847906","doi":"10.2196/52688","title":"New Approach to Equitable Intervention Planning to Improve Engagement and Outcomes in a Digital Health Program: Simulation Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Advanced Bandit Algorithms Research","field":"Decision 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":"Verily Life Sciences","keywords":"Psychological intervention; Dropout (neural networks); Intervention (counseling); Digital health; Outcome (game theory); Resource allocation; Computer science; Resource (disambiguation); Process management; Medicine; Business; Health care; Nursing; Machine learning; Economics; Microeconomics","score_opus":0.15457686544406057,"score_gpt":0.516135049651501,"score_spread":0.36155818420744046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392847906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73428005,0.0006461765,0.23693117,0.0038396635,0.00016969281,0.00086378295,0.0012187642,0.0002367323,0.021813825],"genre_scores_gemma":[0.96586096,0.00020283894,0.030387092,0.00025767906,0.000024864969,0.00058283925,0.00024011666,0.000018999963,0.0024244832],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985455,0.00094648404,0.000045566045,0.00016398326,0.00007743022,0.00022104061],"domain_scores_gemma":[0.98693687,0.010816698,0.0007274054,0.00035044493,0.0005060931,0.00066238124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038725128,0.0009758036,0.0010691779,0.0008519941,0.00058142404,0.001406586,0.0014894606,0.0022367928,0.006957906],"category_scores_gemma":[0.013075017,0.0004947739,0.0011851409,0.00078394136,0.0011806649,0.0014761686,0.0019451772,0.0023264196,0.00022140816],"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":[0.00011468656,0.00022111347,0.0024305198,0.000043299122,0.00003989385,0.000049782782,0.00006995902,0.9891242,0.00007327281,0.005379085,0.000256466,0.0021976863],"study_design_scores_gemma":[0.000091311864,0.00010690772,0.000332977,0.000014481819,0.000020603356,0.0000069507787,0.00006458878,0.9964479,0.00007398067,0.002478685,0.00035483742,0.0000067271603],"about_ca_topic_score_codex":0.023082957,"about_ca_topic_score_gemma":0.014636376,"teacher_disagreement_score":0.023082957,"about_ca_system_score_codex":0.0022455628,"about_ca_system_score_gemma":0.0031309251,"threshold_uncertainty_score":0.045897245},"labels":[],"label_agreement":null},{"id":"W4392965964","doi":"10.2196/56276","title":"Service Users’ Experiences of a Nationwide Digital Type 2 Diabetes Self-Management Intervention (Healthy Living): Qualitative Interview Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","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":"Department of Health and Social Care; National Institute for Health and Care Research","keywords":"Qualitative research; Intervention (counseling); Service (business); Self-management; Self-service; Gerontology; Psychology; Nursing; Medicine; Computer science; Sociology; Business; Computer security","score_opus":0.030975644707294293,"score_gpt":0.36793470826500047,"score_spread":0.33695906355770616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392965964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942801,0.00026561812,0.0011303285,0.001154645,0.000031014966,0.0002746379,0.0001725304,0.000016853703,0.0026742464],"genre_scores_gemma":[0.9949892,0.0005537602,0.00095401914,0.0008232497,0.000017501303,0.00056837633,0.00012332715,0.000025596015,0.0019448741],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.993989,0.0040584067,0.00019387368,0.00026084576,0.0003945362,0.0011033224],"domain_scores_gemma":[0.9897496,0.006897911,0.00068743713,0.00019975573,0.0010534858,0.0014118637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010231831,0.0005788827,0.0007914082,0.0012988335,0.0070227734,0.0031689072,0.0015525263,0.0015260914,0.0033483591],"category_scores_gemma":[0.011760284,0.00063924806,0.00054824376,0.0018430996,0.004673919,0.00279574,0.005527925,0.0023649784,0.00044654432],"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":[0.00003894828,0.00006222612,0.003132594,0.000110100285,0.000003971009,0.00041500345,0.99196315,0.000020758456,0.0005664043,0.00027799892,0.0003399439,0.0030687933],"study_design_scores_gemma":[0.0000035495577,0.00007541347,0.0017550577,0.00007742275,0.0000030859187,0.00008422004,0.9948003,0.000060332903,0.00016187318,0.00007030555,0.002900749,0.000007651938],"about_ca_topic_score_codex":0.011827429,"about_ca_topic_score_gemma":0.017584527,"teacher_disagreement_score":0.011827429,"about_ca_system_score_codex":0.005202683,"about_ca_system_score_gemma":0.0045238254,"threshold_uncertainty_score":0.05411178},"labels":[],"label_agreement":null},{"id":"W4393871117","doi":"10.2196/52923","title":"A Self-Guided Web-Based App (MyDiaMate) for Enhancing Mental Health in Adults With Type 1 Diabetes: Insights From a Real-World Study in the Netherlands","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"Novo Nordisk; Diabetes Fonds","keywords":"Checklist; Mental health; Usability; Medicine; Type 1 diabetes; Distress; Clinical psychology; Intervention (counseling); Psychology; Diabetes mellitus; Gerontology; Psychiatry; Computer science","score_opus":0.017025199474474048,"score_gpt":0.3226603793967334,"score_spread":0.30563517992225936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393871117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99782383,0.00034272185,0.00016762562,0.00024330098,0.000009844259,0.00012589133,0.00017562525,0.0000039663346,0.001107135],"genre_scores_gemma":[0.99593264,0.0008678641,0.0013213888,0.00030115427,0.000010993368,0.00024216823,0.0002649149,0.000013936976,0.0010449378],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903727,0.0005938914,0.00006537745,0.000081096834,0.0001169514,0.000105381674],"domain_scores_gemma":[0.9976667,0.0014371708,0.00027577524,0.000062817104,0.00023573982,0.00032175475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018783476,0.00018523299,0.00034768938,0.0003760637,0.00064514024,0.0012426653,0.00044310608,0.00042045917,0.0018651836],"category_scores_gemma":[0.0056078555,0.00021410506,0.00033579898,0.00040778957,0.00038304596,0.0009947537,0.0010578597,0.00036638274,0.00020522124],"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":[0.0014485122,0.0058516613,0.53741264,0.0028879915,0.00020888205,0.003773385,0.24222465,0.00029981227,0.0032286462,0.0005368286,0.009433107,0.19269395],"study_design_scores_gemma":[0.00047636117,0.003912434,0.66110545,0.0011374908,0.00025825403,0.0023631647,0.29174492,0.0015971448,0.0010426249,0.0002944247,0.035928298,0.00013936622],"about_ca_topic_score_codex":0.014306356,"about_ca_topic_score_gemma":0.04133252,"teacher_disagreement_score":0.014306356,"about_ca_system_score_codex":0.00089652406,"about_ca_system_score_gemma":0.0010027618,"threshold_uncertainty_score":0.028446198},"labels":[],"label_agreement":null},{"id":"W4394967828","doi":"10.2196/53083","title":"Remote Foot Temperature Monitoring Among Veterans: Large Observational Study of Noncompliance and Its Correlates","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetic Foot Ulcer Assessment 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":"U.S. Department of Veterans Affairs","keywords":"Preprint; Observational study; Foot (prosody); Compliance (psychology); Medicine; Psychology; Computer science; Internal medicine; World Wide Web; Art; Social psychology","score_opus":0.047346017906518253,"score_gpt":0.3388850520600544,"score_spread":0.29153903415353616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394967828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99928015,0.000111794994,0.000074008414,0.000035793968,0.0000035569565,0.000009955621,0.00033760615,0.0000017975719,0.00014531938],"genre_scores_gemma":[0.99947304,0.00006127849,0.00007067547,0.00002453744,0.0000066242337,0.000010364619,0.00032036856,0.0000012503446,0.000031820982],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984799,0.00066486356,0.00017759792,0.000243176,0.00026337084,0.00017110874],"domain_scores_gemma":[0.99591833,0.0007825816,0.0022204833,0.00037345843,0.00030954502,0.00039569105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015976058,0.00022725994,0.00040065634,0.00056899386,0.00044507778,0.00060915895,0.0005779171,0.00045131322,0.0007253108],"category_scores_gemma":[0.004347762,0.0003200187,0.00048608647,0.0014331548,0.0003315753,0.0004886092,0.0005936439,0.0009565044,0.0001627285],"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":[0.000026057896,0.000026767837,0.99961615,0.0000033583176,0.00002119666,0.000009692117,0.000034879227,0.000007784366,0.000022383012,0.0000029490693,0.000030135896,0.00019858875],"study_design_scores_gemma":[0.000004245645,0.00008448109,0.9994306,0.0000052305163,0.000013178366,0.00007107301,0.00017939942,0.0001317537,0.0000120273135,0.0000071978475,0.000059146732,0.0000017372324],"about_ca_topic_score_codex":0.009855508,"about_ca_topic_score_gemma":0.0119475415,"teacher_disagreement_score":0.009855508,"about_ca_system_score_codex":0.0004327146,"about_ca_system_score_gemma":0.00047072122,"threshold_uncertainty_score":0.019596279},"labels":[],"label_agreement":null},{"id":"W4399008982","doi":"10.2196/58832","title":"Exploring the Impact of Device Sourcing on Real-World Adherence and Cost Implications of Continuous Glucose Monitoring in Patients With Diabetes: Retrospective Claims Analysis","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"Diabetes mellitus; Continuous glucose monitoring; Medicine; Intensive care medicine; Business; Type 1 diabetes; Endocrinology","score_opus":0.04419259584929274,"score_gpt":0.3379380107778395,"score_spread":0.2937454149285468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399008982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965838,0.0003305244,0.0006981598,0.00007507615,0.0000058270384,0.000052695472,0.0018649182,0.0000063038065,0.0003826235],"genre_scores_gemma":[0.9976019,0.0001136379,0.0004576342,0.00003140542,0.000014975968,0.000043717617,0.0016451932,0.000003258714,0.0000882753],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99268544,0.0028826124,0.0014034783,0.0009602877,0.0016428751,0.00042523723],"domain_scores_gemma":[0.96524286,0.010859504,0.018224658,0.0033976918,0.001757757,0.0005175374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010446383,0.00040563082,0.00048418515,0.002158873,0.00047931593,0.0013250577,0.00096876663,0.00056924234,0.0012165287],"category_scores_gemma":[0.02499452,0.00047748387,0.001688236,0.0030260577,0.00041138608,0.00076727377,0.001084573,0.0008744115,0.00023098105],"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":[0.00019784209,0.000043866214,0.99762875,0.00001713972,0.00017654801,0.000030319994,0.00005067243,0.00021009249,0.000037654005,0.000053174892,0.00009793408,0.001456083],"study_design_scores_gemma":[0.000028414359,0.00030389518,0.9942836,0.000031474396,0.0002528143,0.00026580936,0.0001959445,0.003916904,0.00018566645,0.00007922795,0.00044547603,0.000010845358],"about_ca_topic_score_codex":0.007411905,"about_ca_topic_score_gemma":0.005016242,"teacher_disagreement_score":0.010446383,"about_ca_system_score_codex":0.00083628437,"about_ca_system_score_gemma":0.00073125906,"threshold_uncertainty_score":0.055246413},"labels":[],"label_agreement":null},{"id":"W4399409679","doi":"10.2196/55424","title":"Development and Validation of a Measure for Seeking Health Information in the Diabetes Online Community: Mixed Methods Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Measure (data warehouse); Computer science; Community health; Data science; Psychology; Medicine; Data mining; Nursing; Public health","score_opus":0.11670103662695741,"score_gpt":0.5089669609978804,"score_spread":0.392265924370923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399409679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9544471,0.0002827706,0.01469101,0.00027893728,0.0000607052,0.024708325,0.0010831481,0.000041946572,0.004405963],"genre_scores_gemma":[0.86827904,0.00039347165,0.06822857,0.0004967499,0.000049458456,0.060060896,0.0012680707,0.000030582847,0.0011931636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9786324,0.012566324,0.0026305665,0.0012498795,0.004250441,0.0006703413],"domain_scores_gemma":[0.9648586,0.016763136,0.004294046,0.002741789,0.010145815,0.0011966098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.043409478,0.0005185014,0.0008575819,0.0034071058,0.002092655,0.0023115417,0.0015319159,0.0010322432,0.0017954756],"category_scores_gemma":[0.042752974,0.0006557698,0.0015121512,0.0027450926,0.0010451529,0.0017847344,0.0027166037,0.0010688433,0.00031542158],"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":[0.00092425523,0.008370944,0.7009796,0.0018064565,0.00054831675,0.000321562,0.04806654,0.0006012839,0.003042823,0.0025573275,0.0023617628,0.23041914],"study_design_scores_gemma":[0.001001606,0.008416687,0.8961184,0.0013651069,0.0006403337,0.00052464864,0.061728094,0.007327515,0.0041401326,0.0025373374,0.015987854,0.00021230638],"about_ca_topic_score_codex":0.0038842424,"about_ca_topic_score_gemma":0.0068887835,"teacher_disagreement_score":0.043409478,"about_ca_system_score_codex":0.002435414,"about_ca_system_score_gemma":0.0049953377,"threshold_uncertainty_score":0.22957402},"labels":[],"label_agreement":null},{"id":"W4399467970","doi":"10.2196/51491","title":"Development of a Novel Mobile Health App to Empower Young People With Type 1 Diabetes to Exercise Safely: Co-Design Approach","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Type 2 diabetes; Mobile apps; Diabetes mellitus; Gerontology; Psychology; Medicine; Computer science; Internet privacy; World Wide Web; Endocrinology","score_opus":0.04539451027045937,"score_gpt":0.3990640795164196,"score_spread":0.3536695692459602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399467970","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25595263,0.0019791564,0.68187815,0.001950817,0.0007663338,0.029704057,0.0005662866,0.0022521126,0.024950426],"genre_scores_gemma":[0.16521826,0.0010345293,0.80334884,0.00058599433,0.000050469804,0.02024159,0.00026431077,0.00015721636,0.009098772],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969747,0.0015816509,0.00021974654,0.00039092844,0.00062766834,0.00020530426],"domain_scores_gemma":[0.9969241,0.0018203775,0.00014043765,0.00019969355,0.00071376533,0.000201574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051709656,0.0011608668,0.00053363893,0.0011802776,0.00095233147,0.0018559236,0.0015121785,0.0013701062,0.003270757],"category_scores_gemma":[0.0067606135,0.00059060875,0.0012779624,0.0003752225,0.00088850607,0.0018001614,0.0024300977,0.0010540496,0.0008489431],"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":[0.0021394778,0.0037935555,0.011738731,0.013531384,0.00034011438,0.0026402574,0.033209976,0.009908301,0.072444856,0.0153820515,0.01287688,0.8219945],"study_design_scores_gemma":[0.004013406,0.028288528,0.021493929,0.0076564956,0.0026625409,0.007311626,0.025417086,0.1081003,0.15149269,0.021743396,0.620977,0.00084294856],"about_ca_topic_score_codex":0.00054117583,"about_ca_topic_score_gemma":0.0009843798,"teacher_disagreement_score":0.0051709656,"about_ca_system_score_codex":0.0006009177,"about_ca_system_score_gemma":0.002144454,"threshold_uncertainty_score":0.027347028},"labels":[],"label_agreement":null},{"id":"W4399998365","doi":"10.2196/55201","title":"Inequalities in the Ability for People With Type 2 Diabetes and Prediabetes to Adapt to the Reduction in In-Person Health Support and Increased Use of Digital Support During the COVID-19 Pandemic and Beyond: Qualitative Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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 Institute for Health and Care Research","keywords":"Prediabetes; Digital health; Health care; Medicine; Pandemic; Nursing; Type 2 diabetes; Psychology; Family medicine; Coronavirus disease 2019 (COVID-19); Disease; Diabetes mellitus","score_opus":0.0975396110205156,"score_gpt":0.44249829730361007,"score_spread":0.34495868628309445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399998365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939672,0.0005157139,0.00044444794,0.0018873163,0.00003037653,0.00012863328,0.00022474925,0.0000047770827,0.0027968548],"genre_scores_gemma":[0.9971945,0.00063383835,0.00033516332,0.00060813845,0.000011876045,0.00021528738,0.00007668245,0.000006633791,0.00091766246],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99585164,0.0026103728,0.0001374246,0.0002533417,0.00027323762,0.0008738627],"domain_scores_gemma":[0.9925135,0.005103382,0.0006147871,0.00021285475,0.0005096721,0.0010457902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073828413,0.00029022008,0.00057207496,0.0011028931,0.0059606736,0.0025281252,0.0012181388,0.0010077946,0.0035493406],"category_scores_gemma":[0.009931677,0.000552938,0.0005310468,0.0014666127,0.0051541436,0.003406876,0.005681946,0.0019249391,0.00018757355],"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":[0.000030837036,0.000038487302,0.0074532386,0.00017237515,0.000006709254,0.00035294853,0.98721826,0.000023350342,0.0002477054,0.00078265334,0.0003865445,0.0032868378],"study_design_scores_gemma":[0.000003362365,0.00003459667,0.004284083,0.00012631979,0.0000036337913,0.00009431987,0.9930721,0.00003296471,0.00005151188,0.00016857525,0.0021217328,0.0000067551164],"about_ca_topic_score_codex":0.022746805,"about_ca_topic_score_gemma":0.030217709,"teacher_disagreement_score":0.022746805,"about_ca_system_score_codex":0.004928087,"about_ca_system_score_gemma":0.004987674,"threshold_uncertainty_score":0.04522878},"labels":[],"label_agreement":null},{"id":"W4400229518","doi":"10.2196/56756","title":"Insights Into Sociodemographic Influences on Type 2 Diabetes Care and Opportunities for Digital Health Promotion in Port Harcourt, Nigeria: Quantitative Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Engineering and Physical Sciences Research Council; University of Bristol","keywords":"Port harcourt; Preprint; Promotion (chess); Health care; Type 2 diabetes; Business; Medicine; Geography; Computer science; Sociology; Political science; Diabetes mellitus; Economic growth; Economics; Socioeconomics; World Wide Web","score_opus":0.08516967332614617,"score_gpt":0.4331454495831203,"score_spread":0.3479757762569741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400229518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975458,0.00014177995,0.00016743738,0.00018574554,0.000007792945,0.0001626956,0.0003161754,0.0000017606725,0.0014708089],"genre_scores_gemma":[0.9973545,0.00047066752,0.00052581873,0.00016183041,0.000008043879,0.0004664642,0.00015398611,0.0000028227948,0.0008557542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913776,0.00040922154,0.00009538857,0.00008266285,0.00012081612,0.0001541598],"domain_scores_gemma":[0.99713457,0.0015087686,0.0006368115,0.000072046176,0.00034296227,0.00030488806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00218399,0.00022858643,0.00027680796,0.0012252133,0.0014793638,0.0010499031,0.00030334914,0.00035011384,0.0031038327],"category_scores_gemma":[0.004652287,0.00033472857,0.0002468308,0.0012495933,0.0007197085,0.00096368964,0.0011541982,0.0006555726,0.00022371286],"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":[0.00007773071,0.0005117481,0.774141,0.0005391862,0.00002452981,0.0009597241,0.19702403,0.000064141575,0.0009065504,0.0006952725,0.0010935798,0.023962643],"study_design_scores_gemma":[0.0000080434575,0.00021744185,0.5044004,0.000529721,0.000023451825,0.00035062173,0.48892775,0.0002627776,0.00022366068,0.00017035147,0.004859978,0.000025884543],"about_ca_topic_score_codex":0.010238112,"about_ca_topic_score_gemma":0.016837185,"teacher_disagreement_score":0.010238112,"about_ca_system_score_codex":0.0014032905,"about_ca_system_score_gemma":0.0019697852,"threshold_uncertainty_score":0.020357013},"labels":[],"label_agreement":null},{"id":"W4400252181","doi":"10.2196/56917","title":"Exploring Opportunities and Challenges for the Spread, Scale-Up, and Sustainability of mHealth Apps for Self-Management of Patients With Type 2 Diabetes Mellitus in the Netherlands: Citizen Science Approach","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Provincie Overijssel","keywords":"Sustainability; Scale (ratio); Type 2 Diabetes Mellitus; Mobile apps; Diabetes mellitus; Business; Knowledge management; Medicine; Computer science; Geography; World Wide Web; Ecology","score_opus":0.12770706969962253,"score_gpt":0.37279496811483503,"score_spread":0.2450878984152125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400252181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8654866,0.00529878,0.019254524,0.06078265,0.00020824226,0.0010109346,0.00017270872,0.000024068991,0.047761403],"genre_scores_gemma":[0.98845273,0.00211789,0.006274774,0.0014633432,0.000022168006,0.00044048313,0.000042882748,0.000014668669,0.0011711797],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9700097,0.023787566,0.000742834,0.0011082675,0.0025466897,0.0018049274],"domain_scores_gemma":[0.95201665,0.0414108,0.0021421728,0.00075741025,0.0025678743,0.0011050401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031668507,0.0003240782,0.0005651946,0.0015728665,0.0042561144,0.00988146,0.0016183795,0.0024574613,0.0012117085],"category_scores_gemma":[0.03211065,0.00061317696,0.0007285363,0.002022012,0.0061225197,0.00942149,0.006962213,0.0027154502,0.000113844784],"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":[0.00010462864,0.0005335198,0.060543854,0.0022481137,0.00011191365,0.0020265053,0.7495451,0.0020125257,0.0014890688,0.07197354,0.005103693,0.104307495],"study_design_scores_gemma":[0.000056268924,0.00019235138,0.019889476,0.0018137641,0.00006376123,0.00034637118,0.8687587,0.006997474,0.0007757285,0.029046455,0.07198905,0.000070573544],"about_ca_topic_score_codex":0.043019947,"about_ca_topic_score_gemma":0.061853226,"teacher_disagreement_score":0.043019947,"about_ca_system_score_codex":0.013432722,"about_ca_system_score_gemma":0.026831592,"threshold_uncertainty_score":0.167481},"labels":[],"label_agreement":null},{"id":"W4400972700","doi":"10.2196/58526","title":"Recommendations to Address Barriers to Patient Portal Use Among Persons With Diabetes Seeking Care at Community Health Centers: Interview Study With Patients and Health Care Providers","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Electronic Health Records Systems","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":"National Institute on Minority Health and Health Disparities; National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Patient portal; Medicine; Health care; Family medicine; Diabetes mellitus; Nursing; Gerontology","score_opus":0.050442481141613364,"score_gpt":0.3869491538795266,"score_spread":0.33650667273791324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400972700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98184764,0.00072944013,0.0021251678,0.0047883424,0.00008043543,0.0057132533,0.00067393755,0.00003564375,0.0040060617],"genre_scores_gemma":[0.97053325,0.0015983229,0.009047765,0.0035313508,0.000030181716,0.012676821,0.00056013704,0.000021946966,0.002000194],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9923355,0.0048818933,0.0005877144,0.0002620946,0.00031684668,0.0016160343],"domain_scores_gemma":[0.9848297,0.007872774,0.0018649087,0.00045566555,0.0026002303,0.0023767187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020063518,0.00050784077,0.00073142396,0.0014117897,0.006639157,0.003014075,0.0017136876,0.0016342563,0.0038960031],"category_scores_gemma":[0.025331628,0.0011475972,0.000894101,0.0018045291,0.0018698829,0.003406094,0.0045605404,0.0029586116,0.00043543256],"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":[0.00008539638,0.00062005996,0.06924767,0.0007633755,0.000018928738,0.00051554217,0.91110903,0.000052518742,0.00068794144,0.00046106987,0.002905262,0.01353333],"study_design_scores_gemma":[0.000030703104,0.00014176623,0.01339215,0.00034000885,0.000010891941,0.00008275226,0.98157805,0.000096178584,0.00014882983,0.0001366139,0.004022351,0.00001982644],"about_ca_topic_score_codex":0.024450673,"about_ca_topic_score_gemma":0.04891224,"teacher_disagreement_score":0.024450673,"about_ca_system_score_codex":0.0057020863,"about_ca_system_score_gemma":0.0140537,"threshold_uncertainty_score":0.106107295},"labels":[],"label_agreement":null},{"id":"W4401044914","doi":"10.2196/52271","title":"The Development of an Electronic Medical Record System to Improve Quality of Care for Individuals With Type 1 Diabetes in Rwanda: Qualitative Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management 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":"Rural Development Administration; World Diabetes Foundation; Steno Diabetes Center Copenhagen","keywords":"Quality (philosophy); Electronic medical record; Type 2 diabetes; Qualitative research; Medicine; Medical record; Diabetes mellitus; Family medicine; Internal medicine; Endocrinology; Sociology","score_opus":0.019947281617674957,"score_gpt":0.37088189609886074,"score_spread":0.3509346144811858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401044914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99245775,0.00066918763,0.0016215144,0.0025101562,0.00006164019,0.0003761988,0.00008588726,0.000013340406,0.0022043802],"genre_scores_gemma":[0.995271,0.00081478397,0.0018792354,0.0005770036,0.000017801236,0.00032210044,0.00003691497,0.000013779849,0.0010673697],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.98252237,0.014222983,0.0004963869,0.0005421919,0.0007390808,0.0014770527],"domain_scores_gemma":[0.9762625,0.01826368,0.0020919163,0.00048255263,0.0014925336,0.0014067638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02187838,0.0003589549,0.00057819695,0.0013706328,0.006758158,0.0027396374,0.0014248238,0.0010776068,0.0017783882],"category_scores_gemma":[0.024264941,0.00057952886,0.00046292163,0.0011655572,0.005081676,0.0029320954,0.00352382,0.0018372358,0.00016698123],"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":[0.000034272434,0.000087250555,0.00523796,0.00038542153,0.0000071658487,0.0010340939,0.9835344,0.000043311855,0.0011000846,0.0009620576,0.00047594277,0.007098035],"study_design_scores_gemma":[0.0000071107957,0.00012593926,0.004616776,0.0004086831,0.000009700434,0.00038843555,0.98773044,0.00014324744,0.00045672205,0.00011173498,0.0059869033,0.000014234435],"about_ca_topic_score_codex":0.006525679,"about_ca_topic_score_gemma":0.008231262,"teacher_disagreement_score":0.02187838,"about_ca_system_score_codex":0.0061954525,"about_ca_system_score_gemma":0.008014988,"threshold_uncertainty_score":0.11570531},"labels":[],"label_agreement":null},{"id":"W4401392972","doi":"10.2196/53338","title":"A Machine Learning Model for Risk Stratification of Postdiagnosis Diabetic Ketoacidosis Hospitalization in Pediatric Type 1 Diabetes: Retrospective Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes and associated disorders","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":"Diabetic ketoacidosis; Risk stratification; Medicine; Ketoacidosis; Diabetes mellitus; Retrospective cohort study; Stratification (seeds); Type 2 diabetes; Type 1 diabetes; Pediatrics; Intensive care medicine; Internal medicine; Endocrinology","score_opus":0.006252220512087618,"score_gpt":0.24691046210935771,"score_spread":0.2406582415972701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401392972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99069536,0.00031437812,0.0077057728,0.00012727742,0.000017235086,0.000033916363,0.00087789603,0.000028004344,0.00020017708],"genre_scores_gemma":[0.99512815,0.00017603413,0.0030720066,0.000024308687,0.000018366842,0.000026785317,0.0014251681,0.000007816285,0.00012120359],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989171,0.00047706065,0.00010345787,0.00025845668,0.00013933254,0.00010459198],"domain_scores_gemma":[0.9925575,0.0048826463,0.0009107684,0.00065973547,0.000772693,0.00021668819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051276977,0.0007074344,0.00057651807,0.0014943805,0.00030607468,0.00074096693,0.0009673914,0.0005958277,0.001062192],"category_scores_gemma":[0.011189458,0.00028758467,0.0011260412,0.0010209739,0.0002693284,0.00073663914,0.00051172305,0.00091199524,0.00026780306],"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":[0.00021297667,0.0001592507,0.9667745,0.000021316999,0.00025186394,0.00029730736,0.0000660953,0.022311239,0.000106539876,0.0001854088,0.0007571936,0.008856155],"study_design_scores_gemma":[0.00003566026,0.0003902616,0.24605648,0.000049189766,0.00027954727,0.0011405806,0.0003062779,0.7496133,0.00043785866,0.0007166043,0.0009409624,0.0000333014],"about_ca_topic_score_codex":0.009064348,"about_ca_topic_score_gemma":0.004895423,"teacher_disagreement_score":0.009064348,"about_ca_system_score_codex":0.0006150725,"about_ca_system_score_gemma":0.00060101965,"threshold_uncertainty_score":0.027118206},"labels":[],"label_agreement":null},{"id":"W4401627469","doi":"10.2196/55473","title":"Impact of a Text Messaging Intervention as an In-Between Support to Diabetes Group Visits in Federally Qualified Health Centers: Cluster Randomized Controlled Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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 Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; Office of Diversity and Inclusion; Pritzker School of Medicine; U.S. Department of Health and Human Services; National Institutes of Health; Chicago Center for Diabetes Translation Research; Georgia Clinical and Translational Science Alliance; Directorate for Biological Sciences","keywords":"Preprint; Text messaging; Cluster (spacecraft); Intervention (counseling); Randomized controlled trial; Control (management); Medicine; Family medicine; Gerontology; Psychology; Nursing; Computer science; Internet privacy; World Wide Web","score_opus":0.02952828509502509,"score_gpt":0.4682597049411253,"score_spread":0.4387314198461002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401627469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9628335,0.0014703041,0.001013171,0.00053620164,0.0007984677,0.03125852,0.0008721895,0.00021884964,0.0009988255],"genre_scores_gemma":[0.9326401,0.0008110411,0.005618253,0.0008493403,0.0006523558,0.05748437,0.00051929825,0.000025408986,0.0013997699],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99191636,0.00462146,0.000667179,0.0012721883,0.00056465046,0.00095825666],"domain_scores_gemma":[0.9941204,0.0022204637,0.0012368163,0.0005487054,0.00050682604,0.0013666514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006122961,0.0020436407,0.0048684427,0.0011875841,0.0015030025,0.0014561033,0.0022478697,0.0031623107,0.0071106344],"category_scores_gemma":[0.007860439,0.00095610216,0.0032582206,0.0013532876,0.0016773216,0.0014331343,0.0012633415,0.002591417,0.000548617],"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":[0.9286829,0.049817774,0.0011022108,0.0012839445,0.0016350928,0.000021491596,0.00013426204,0.00030504717,0.0005709985,0.00008290061,0.00052834646,0.015835105],"study_design_scores_gemma":[0.88728756,0.1067425,0.0039353394,0.00008881068,0.00093667395,0.0000047359445,0.000059975468,0.00048192145,0.0001765048,0.00007742291,0.0001891934,0.000019321536],"about_ca_topic_score_codex":0.00857297,"about_ca_topic_score_gemma":0.009471016,"teacher_disagreement_score":0.00857297,"about_ca_system_score_codex":0.0027720423,"about_ca_system_score_gemma":0.005259046,"threshold_uncertainty_score":0.032381713},"labels":[],"label_agreement":null},{"id":"W4401713978","doi":"10.2196/58579","title":"Impact of Telemedicine Versus In-Person Pediatric Outpatient Type 1 Diabetes Visits on Immediate Glycemic Control: Retrospective Chart Review","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"","keywords":"Glycemic; Telemedicine; Medicine; Chart; Type 2 diabetes; Retrospective cohort study; Pediatrics; Diabetes mellitus; Internal medicine; Health care; Endocrinology","score_opus":0.021611599817236735,"score_gpt":0.3396421324875478,"score_spread":0.31803053267031106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401713978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98449945,0.003607745,0.000382858,0.000052053565,0.000015976151,0.0005180147,0.00978212,0.00002177432,0.0011199223],"genre_scores_gemma":[0.99171406,0.0016478279,0.0006366197,0.000076473385,0.000029235687,0.00036373144,0.0053300518,0.000009965391,0.00019210378],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965378,0.0007379149,0.0009508371,0.0006784894,0.0008180161,0.0002768783],"domain_scores_gemma":[0.9749111,0.005664365,0.013860501,0.0009428327,0.0039017457,0.0007194849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026089498,0.00022715639,0.0005960825,0.0045284145,0.00042270002,0.000834376,0.00054156466,0.0003766853,0.0013126826],"category_scores_gemma":[0.00851199,0.00036534667,0.000794741,0.0051197154,0.00040766614,0.0005622135,0.0005298662,0.0003763793,0.00021728323],"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":[0.0001630395,0.000050892737,0.99426925,0.00030673403,0.00009299381,0.0002896778,0.00036776977,0.000047445028,0.00011323818,0.00001967854,0.0003800117,0.0038992527],"study_design_scores_gemma":[0.000015479192,0.0002428316,0.9971656,0.0001462192,0.00008925739,0.00060871063,0.0006998293,0.000097817785,0.00015866631,0.000004826386,0.0007614596,0.000009255591],"about_ca_topic_score_codex":0.014628051,"about_ca_topic_score_gemma":0.016262319,"teacher_disagreement_score":0.014628051,"about_ca_system_score_codex":0.0015265862,"about_ca_system_score_gemma":0.0018492258,"threshold_uncertainty_score":0.029085815},"labels":[],"label_agreement":null},{"id":"W4401730767","doi":"10.2196/52196","title":"Scientific Production Dynamics in mHealth for Diabetes: Scientometric Analysis","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Sistema Nacional de Investigadores","keywords":"mHealth; Scopus; Web of science; Citation; Scientometrics; Science Citation Index; China; Scientific literature; Health care; MEDLINE; Medicine; Political science; Library science; Computer science","score_opus":0.04958711148149653,"score_gpt":0.4553042884120006,"score_spread":0.4057171769305041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401730767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9417773,0.0049511637,0.016568111,0.002088827,0.00013180319,0.0015398182,0.009197337,0.00020328112,0.023542387],"genre_scores_gemma":[0.98126376,0.0022056827,0.010403444,0.00006722992,0.00015167122,0.00094718154,0.0041566617,0.000034096145,0.000770236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.96749306,0.01274301,0.003752873,0.0020793593,0.012405558,0.0015261621],"domain_scores_gemma":[0.8311846,0.12937826,0.016261984,0.0059060557,0.015414539,0.0018544775],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.031208526,0.0010641118,0.0019138221,0.08907332,0.0021087935,0.009099116,0.0011455498,0.001027133,0.0033011858],"category_scores_gemma":[0.14656137,0.000397429,0.0037831657,0.1524556,0.0018306045,0.005148247,0.0038252722,0.0007634138,0.0007802526],"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":[0.0004033243,0.0003930521,0.74073446,0.0042396626,0.0028285556,0.00093246606,0.012546392,0.020477097,0.0009739447,0.0130341835,0.0077174297,0.19571947],"study_design_scores_gemma":[0.00010890818,0.00038203833,0.8505983,0.0011460711,0.0011608177,0.0007732138,0.022549873,0.07162626,0.001254381,0.022102077,0.028105907,0.00019206585],"about_ca_topic_score_codex":0.006796444,"about_ca_topic_score_gemma":0.0038357123,"teacher_disagreement_score":0.9687915,"about_ca_system_score_codex":0.0044433647,"about_ca_system_score_gemma":0.006510108,"threshold_uncertainty_score":0.16504848},"labels":[],"label_agreement":null},{"id":"W4402090046","doi":"10.2196/55677","title":"Health and eHealth Literacy of Patients With Diabetes in Low-Income Countries: Perspective From Guinea and Burkina Faso","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Ministero degli Affari Esteri e della Cooperazione Internazionale; Campus France; Université de Bordeaux; Agence Nationale de la Recherche","keywords":"Preprint; Perspective (graphical); Low income; New guinea; Tarnish; Health literacy; Literacy; Medicine; Political science; Environmental health; Economic growth; Socioeconomics; Sociology; Health care; Economics; Art; Ethnology; Chemistry; Computer science; Visual arts","score_opus":0.00812356047069286,"score_gpt":0.3567590431758699,"score_spread":0.3486354827051771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402090046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892504,0.004200114,0.000046039957,0.0041345023,0.000025208286,0.000022832159,0.00018366541,0.0000013083481,0.0021358638],"genre_scores_gemma":[0.99569523,0.0030675812,0.0000855857,0.0008762731,0.000017349083,0.00002635593,0.000061342165,6.4249207e-7,0.00016958904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944025,0.00024926962,0.000031859232,0.00002673351,0.000029892151,0.00022202134],"domain_scores_gemma":[0.9989882,0.00026266064,0.0003006048,0.000012134759,0.00011828346,0.00031819096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094038056,0.00024529838,0.00026501392,0.0010727502,0.0015132035,0.0014336611,0.00022724002,0.00048330834,0.0020550732],"category_scores_gemma":[0.0019455837,0.00012417798,0.0003053658,0.0010800147,0.00069179136,0.001108387,0.0011944392,0.00075690553,0.000108505104],"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":[0.00015444249,0.00023235519,0.9262738,0.00048898946,0.00007323647,0.0015450811,0.038994566,0.000051432417,0.00050422596,0.0008097893,0.0010245735,0.029847568],"study_design_scores_gemma":[0.000037335787,0.00037613563,0.852041,0.0015418538,0.00007461651,0.0011827408,0.13818821,0.000113258684,0.00013245361,0.00035181915,0.005930311,0.000030219904],"about_ca_topic_score_codex":0.0439479,"about_ca_topic_score_gemma":0.06654953,"teacher_disagreement_score":0.0439479,"about_ca_system_score_codex":0.0015119842,"about_ca_system_score_gemma":0.0024414465,"threshold_uncertainty_score":0.087384224},"labels":[],"label_agreement":null},{"id":"W4402171195","doi":"10.2196/59867","title":"Implementation of Artificial Intelligence–Based Diabetic Retinopathy Screening in a Tertiary Care Hospital in Quebec: Prospective Validation Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Diabetic retinopathy; Fundus (uterus); Diabetes mellitus; Prospective cohort study; Tertiary care; Ophthalmology; Retinopathy; Optometry; Macular edema; Retinal; Internal medicine; Endocrinology","score_opus":0.010429320007244244,"score_gpt":0.32680030859456327,"score_spread":0.31637098858731905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402171195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99752647,0.00009376649,0.00020157274,0.00014183062,0.000008786845,0.00027002933,0.0008561107,0.000021906726,0.00087955856],"genre_scores_gemma":[0.9977531,0.0000652025,0.00042865062,0.00018526451,0.0000057590382,0.00011561515,0.0010525751,0.0000068532613,0.0003871982],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971975,0.00101991,0.000175382,0.00038193958,0.0007261281,0.0004991667],"domain_scores_gemma":[0.98018,0.0030659817,0.003234734,0.0011387832,0.010153829,0.0022265643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041679656,0.00068032544,0.00042505394,0.0007321178,0.0016053161,0.001259669,0.0017260828,0.00086118246,0.0014986529],"category_scores_gemma":[0.01321782,0.00038222905,0.0005633361,0.0014911935,0.0008838274,0.0006643951,0.0008461072,0.0008550211,0.00044652814],"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":[0.00027307993,0.00060264947,0.99255943,0.00003295115,0.00007637488,0.000073346455,0.0005729583,0.00030029286,0.00021729102,0.000029047107,0.00092603423,0.0043365923],"study_design_scores_gemma":[0.00007200645,0.0004608076,0.9962549,0.000026296359,0.00002768492,0.000028055802,0.00044431433,0.0021247729,0.00010652647,0.000008005738,0.00043271785,0.000013876145],"about_ca_topic_score_codex":0.90650785,"about_ca_topic_score_gemma":0.91448444,"teacher_disagreement_score":0.90650785,"about_ca_system_score_codex":0.023106115,"about_ca_system_score_gemma":0.0134446705,"threshold_uncertainty_score":0.18808544},"labels":[],"label_agreement":null},{"id":"W4402331458","doi":"10.2196/60190","title":"Beyond Hemoglobin A1c—Outcomes That Matter to Individuals With Type 1 Diabetes in Adopting Digital Health Interventions for Self-Management Support: Qualitative Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Ottawa Hospital; Hospital for Sick Children; University of Toronto; University Health Network; Women's College Hospital; Université Laval; Trillium Health Centre; Diabetes Canada","funders":"Breakthrough T1D Canada","keywords":"Focus group; Psychological intervention; Self-management; Glycemic; Peer support; Qualitative research; Diabetes management; Health care; Digital health; Medicine; Psychology; Nursing; Type 2 diabetes; Medical education; Diabetes mellitus; Computer science; Business","score_opus":0.036927292942458105,"score_gpt":0.40222347815827547,"score_spread":0.36529618521581736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402331458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99064445,0.00078733737,0.0011413413,0.0028823663,0.000064479726,0.00045943994,0.00031068502,0.000008410644,0.0037014142],"genre_scores_gemma":[0.9925876,0.0010620415,0.0012475087,0.0014968126,0.000020416772,0.00064493425,0.00010433722,0.00001382732,0.0028223663],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.995145,0.0032378025,0.0001465333,0.00031869605,0.0003241402,0.0008278946],"domain_scores_gemma":[0.9881342,0.008461214,0.0008191173,0.0002209815,0.0011241557,0.0012403538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0101854615,0.0003857211,0.0005164539,0.00092898787,0.008835096,0.0022629448,0.0013437285,0.0009866656,0.0032058961],"category_scores_gemma":[0.012247699,0.00040499348,0.0004512519,0.0013053108,0.0053203143,0.0021613694,0.004248291,0.0018236848,0.00014022904],"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":[0.000028985198,0.000057685356,0.0043604425,0.00017276776,0.0000043789696,0.00031412754,0.98966306,0.000017282666,0.0002916789,0.00043468925,0.00043093337,0.004223985],"study_design_scores_gemma":[0.0000045326383,0.000032469372,0.0023404162,0.00015980813,0.000004852443,0.000053430223,0.9936047,0.000033995824,0.000106482585,0.00009913433,0.003552799,0.000007441729],"about_ca_topic_score_codex":0.12614672,"about_ca_topic_score_gemma":0.20378244,"teacher_disagreement_score":0.12614672,"about_ca_system_score_codex":0.011586032,"about_ca_system_score_gemma":0.013439448,"threshold_uncertainty_score":0.25082493},"labels":[],"label_agreement":null},{"id":"W4402540310","doi":"10.2196/63393","title":"A Culturally Sensitive Mobile App (DiaFriend) to Improve Self-Care in Patients With Type 2 Diabetes: Development Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"","keywords":"Preprint; Type 2 diabetes; Psychology; Medicine; Diabetes mellitus; Computer science; World Wide Web; Endocrinology","score_opus":0.008992052163697561,"score_gpt":0.34137647898447443,"score_spread":0.33238442682077685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402540310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902838,0.00024103546,0.0016914697,0.00018249328,0.000032998796,0.004530432,0.00019982427,0.00003738872,0.002800564],"genre_scores_gemma":[0.9412525,0.001763471,0.042048406,0.00083830365,0.000039625767,0.009497926,0.0004887954,0.00005269107,0.004018335],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99859816,0.00070955016,0.0000964226,0.00013408213,0.00029951127,0.00016231522],"domain_scores_gemma":[0.99620855,0.002185393,0.00021579176,0.00023185345,0.0006953597,0.0004631264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004251532,0.0004913346,0.00040315202,0.00050082826,0.00059991766,0.0007179131,0.0005743971,0.00058770005,0.001906739],"category_scores_gemma":[0.010281758,0.00034498013,0.00063898525,0.00024127237,0.0004170742,0.00070590724,0.0011742354,0.00080822414,0.00035406824],"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":[0.0024798813,0.06622533,0.12593703,0.004783528,0.00025008904,0.0048361956,0.08890004,0.0010456768,0.013950599,0.0013188014,0.0103130415,0.67995983],"study_design_scores_gemma":[0.010651345,0.16261612,0.5372357,0.0041957526,0.001477343,0.0194495,0.0933087,0.008969849,0.028762165,0.0015420708,0.13117246,0.0006190772],"about_ca_topic_score_codex":0.0013027046,"about_ca_topic_score_gemma":0.0029021737,"teacher_disagreement_score":0.004251532,"about_ca_system_score_codex":0.0004927802,"about_ca_system_score_gemma":0.002164569,"threshold_uncertainty_score":0.022484481},"labels":[],"label_agreement":null},{"id":"W4402548639","doi":"10.2196/58137","title":"Comparing Insulin Against Glucagon-Like Peptide-1 Receptor Agonists, Dipeptidyl Peptidase-4 Inhibitors, and Sodium-Glucose Cotransporter 2 Inhibitors on 5-Year Incident Heart Failure Risk for Patients With Type 2 Diabetes Mellitus: Real-World Evidence Study Using Insurance Claims","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Treatment 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":"Preprint; Medicine; Internal medicine; Type 2 Diabetes Mellitus; Diabetes mellitus; Endocrinology; World Wide Web; Computer science","score_opus":0.016724424908295954,"score_gpt":0.26548157027479835,"score_spread":0.2487571453665024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402548639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93444705,0.061452936,0.0004104197,0.0003657862,0.0002602532,0.0004786978,0.0016989943,0.000010973402,0.0008749811],"genre_scores_gemma":[0.9881997,0.009487977,0.0005358969,0.00027263942,0.00020907538,0.00019338763,0.0009825471,0.0000034874804,0.000115269635],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.994636,0.0029504562,0.0010328387,0.0006640031,0.0005261387,0.0001905301],"domain_scores_gemma":[0.9840582,0.00905712,0.0052603907,0.0005071205,0.00055536855,0.0005618668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064035724,0.0007775931,0.0019719736,0.0010809174,0.000355028,0.0014673314,0.00077173,0.0012025686,0.0023851003],"category_scores_gemma":[0.01319065,0.0004654721,0.006668973,0.0013885716,0.00053167006,0.000952551,0.0006785735,0.0013964782,0.0001843135],"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":[0.5130393,0.006007734,0.2327372,0.017323365,0.18554662,0.00021620489,0.00028213346,0.0013468766,0.0009351446,0.00034496287,0.00074803224,0.04147242],"study_design_scores_gemma":[0.18611251,0.13875122,0.3855818,0.0045693344,0.27362522,0.0007526736,0.0006914893,0.003854297,0.0011239072,0.00077857234,0.0040012104,0.00015771488],"about_ca_topic_score_codex":0.0013626551,"about_ca_topic_score_gemma":0.0024932397,"teacher_disagreement_score":0.0064035724,"about_ca_system_score_codex":0.0008048371,"about_ca_system_score_gemma":0.0007388636,"threshold_uncertainty_score":0.03386569},"labels":[],"label_agreement":null},{"id":"W4403231639","doi":"10.2196/62831","title":"Association of Blood Glucose Data With Physiological and Nutritional Data From Dietary Surveys and Wearable Devices: Database Analysis","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","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; Wearable computer; Database; Computer science; Association (psychology); Data science; World Wide Web; Psychology; Embedded system","score_opus":0.0413290741349566,"score_gpt":0.30659090866036365,"score_spread":0.265261834525407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403231639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9403215,0.0015085471,0.04632067,0.00021899978,0.00005761537,0.00034249882,0.009796061,0.00029056007,0.0011435691],"genre_scores_gemma":[0.9556469,0.00055397826,0.030779712,0.00006423145,0.00004676325,0.0004669968,0.012073607,0.00002376124,0.00034411286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99263954,0.00243186,0.0015688187,0.0015042608,0.0015863315,0.00026918965],"domain_scores_gemma":[0.98528755,0.008086428,0.002900134,0.0017268346,0.0017731773,0.0002259037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006499923,0.00054296537,0.0008654456,0.0038841313,0.00029883982,0.0019112425,0.0007568882,0.00059840037,0.0006084762],"category_scores_gemma":[0.01814219,0.0002607713,0.0011320848,0.007093227,0.0002461514,0.0009223792,0.00083738833,0.00049804,0.00033163477],"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":[0.0005210366,0.000298398,0.9337229,0.00036661548,0.0009980313,0.00016174784,0.00019431225,0.0030956205,0.0023925742,0.0002513518,0.0008933123,0.057103995],"study_design_scores_gemma":[0.000035797944,0.0004421529,0.9460006,0.00009137472,0.0004956498,0.0005695072,0.0005308325,0.044558488,0.004118733,0.000773566,0.0023291302,0.000054260596],"about_ca_topic_score_codex":0.0029865864,"about_ca_topic_score_gemma":0.002805923,"teacher_disagreement_score":0.006499923,"about_ca_system_score_codex":0.00042887084,"about_ca_system_score_gemma":0.0007508554,"threshold_uncertainty_score":0.03437525},"labels":[],"label_agreement":null},{"id":"W4403417051","doi":"10.2196/54370","title":"Implementation of a Technology-Enabled Diabetes Self-Management Peer Coaching Intervention for Patients With Poorly Controlled Diabetes: Quasi-Experimental Case Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management 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 Institute of Diabetes and Digestive and Kidney Diseases; University of California, San Francisco","keywords":"Coaching; Health coaching; Psychological intervention; Medicaid; Self-management; Diabetes management; Medicine; Intervention (counseling); Peer support; Diabetes mellitus; Health care; Family medicine; Psychology; Nursing; Type 2 diabetes","score_opus":0.007083029414046957,"score_gpt":0.3099282097604476,"score_spread":0.3028451803464006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403417051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817084,0.000094277515,0.0009491546,0.00023850199,0.000052090367,0.01582513,0.00016086314,0.000033343716,0.00093823805],"genre_scores_gemma":[0.9410358,0.00042487803,0.011912738,0.00065463,0.00019941511,0.043785036,0.00033524312,0.000016064881,0.0016361561],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99163693,0.0049740095,0.00062021887,0.00087430637,0.0006282591,0.0012661298],"domain_scores_gemma":[0.98862106,0.005437013,0.0012809729,0.0015243443,0.0012977732,0.0018388153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00958596,0.0013065366,0.0012477124,0.0015378139,0.00467582,0.0014246819,0.0024599452,0.0026503545,0.006237102],"category_scores_gemma":[0.013130308,0.0011875473,0.0018591611,0.00078653113,0.002292246,0.0019768858,0.0021028577,0.00245898,0.0008667215],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_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":[0.010489806,0.88216484,0.020667525,0.0010158113,0.00020052322,0.0006934661,0.013867866,0.0006268823,0.0021383862,0.00037973575,0.0012039837,0.06655112],"study_design_scores_gemma":[0.05930158,0.81728584,0.078153245,0.00052819157,0.0004343319,0.00059219,0.02859161,0.0036291399,0.0033230523,0.0007366839,0.0072164875,0.00020778233],"about_ca_topic_score_codex":0.006728634,"about_ca_topic_score_gemma":0.012866988,"teacher_disagreement_score":0.00958596,"about_ca_system_score_codex":0.003268813,"about_ca_system_score_gemma":0.007089024,"threshold_uncertainty_score":0.050696015},"labels":[],"label_agreement":null},{"id":"W4403417085","doi":"10.2196/54223","title":"Technology and Continuous Glucose Monitoring Access, Literacy, and Use Among Patients at the Diabetes Center of an Inner-City Safety-Net Hospital: Mixed Methods Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","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 Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of General Medical Sciences; National Institutes of Health","keywords":"Medicine; Diabetes mellitus; Diabetes management; Safety net; Type 2 diabetes; Literacy; Family medicine; Health care; Type 1 diabetes; Health literacy; Gerontology; Nursing; Medical emergency; Environmental health; Psychology","score_opus":0.02160764451140395,"score_gpt":0.4250105992822711,"score_spread":0.40340295477086713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403417085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99932075,0.00014350787,0.00005635558,0.000034410466,0.0000020285695,0.00006409475,0.00016801963,0.0000013799068,0.00020958117],"genre_scores_gemma":[0.9989035,0.00024233208,0.00022679442,0.00015330847,0.00000912426,0.00013549929,0.00019425599,0.0000014355961,0.00013372592],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99775296,0.0009671732,0.00027091074,0.00024792497,0.00039252915,0.00036843435],"domain_scores_gemma":[0.9967591,0.0011192267,0.0010457481,0.00017869838,0.00039603494,0.0005011318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002355604,0.00040488504,0.0006283359,0.001717074,0.0011656643,0.0017462051,0.0006322918,0.00061691186,0.0016970307],"category_scores_gemma":[0.0044629,0.000508596,0.00086762256,0.0021638216,0.00050841423,0.0011456448,0.0012147884,0.0006704591,0.00028398514],"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":[0.00014441884,0.00055973214,0.9929636,0.00006987063,0.000118251446,0.000108371634,0.0029378533,0.000014579542,0.00010925566,0.000018089968,0.00012423281,0.002831687],"study_design_scores_gemma":[0.00005220069,0.0011731996,0.9813503,0.000102487626,0.00013269538,0.00032909424,0.016010365,0.00029790538,0.00012816586,0.000029007933,0.00037229987,0.000022272525],"about_ca_topic_score_codex":0.014305286,"about_ca_topic_score_gemma":0.025087612,"teacher_disagreement_score":0.014305286,"about_ca_system_score_codex":0.0011784027,"about_ca_system_score_gemma":0.0012806089,"threshold_uncertainty_score":0.028444052},"labels":[],"label_agreement":null},{"id":"W4403510382","doi":"10.2196/58327","title":"Personalized and Culturally Tailored Features of Mobile Apps for Gestational Diabetes Mellitus and Their Impact on Patient Self-Management: Scoping Review","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Thomas Jefferson University; George Washington University","keywords":"Preprint; Gestational diabetes; Mobile apps; Diabetes mellitus; Medicine; Internet privacy; Gerontology; Computer science; Psychology; Pregnancy; World Wide Web; Gestation; Endocrinology","score_opus":0.018812133148458855,"score_gpt":0.3929242910303117,"score_spread":0.3741121578818528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403510382","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012063715,0.9962096,0.00017517968,0.00042413946,0.00018065966,0.000378715,0.00023060909,0.0000072484936,0.0011873598],"genre_scores_gemma":[0.007020914,0.9910836,0.00058178784,0.0004096804,0.00008832642,0.00055733905,0.00012278368,0.000005154017,0.00013043657],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9919819,0.0026421696,0.0031319365,0.00043870858,0.0015732057,0.00023202725],"domain_scores_gemma":[0.9344737,0.055115715,0.0055726203,0.0006088128,0.0039173765,0.00031175953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009843915,0.0011569936,0.0039198045,0.013661306,0.0010462143,0.0040152064,0.0018458915,0.0024494554,0.0045436868],"category_scores_gemma":[0.06630378,0.0007968161,0.0045847064,0.013891232,0.0010444671,0.0029541913,0.0021633378,0.0013159197,0.0005138666],"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":[0.00013969996,0.000048736016,0.00080779183,0.8207136,0.0020853311,0.0001401467,0.0009939279,0.0001072827,0.0001657621,0.00068155094,0.0024732635,0.17164284],"study_design_scores_gemma":[0.00004103191,0.00008398368,0.0018031615,0.9616234,0.008765165,0.00020788261,0.00053344824,0.000045737794,0.00014518289,0.0002484212,0.02648148,0.00002119444],"about_ca_topic_score_codex":0.0070724557,"about_ca_topic_score_gemma":0.013534109,"teacher_disagreement_score":0.013661306,"about_ca_system_score_codex":0.0032285952,"about_ca_system_score_gemma":0.01308672,"threshold_uncertainty_score":0.052060246},"labels":[],"label_agreement":null},{"id":"W4404092425","doi":"10.2196/60066","title":"Exploring the Use of Activity Trackers to Support Physical Activity and Reduce Sedentary Behavior in Adults Diagnosed With Type 2 Diabetes: Qualitative Interview Study Using the RE-AIM Framework","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Preprint; Activity tracker; Physical activity; Qualitative research; Type 2 diabetes; Psychology; Gerontology; Diabetes mellitus; Applied psychology; Medicine; Physical therapy; Computer science; Sociology; World Wide Web; Anthropology; Endocrinology","score_opus":0.33959951407090555,"score_gpt":0.516746103954709,"score_spread":0.17714658988380344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404092425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98724395,0.0009386681,0.004814283,0.002563985,0.000066806875,0.00086766045,0.00037976485,0.00001746923,0.0031072781],"genre_scores_gemma":[0.98805153,0.0012943923,0.0046711005,0.0016800566,0.00002296507,0.0017233343,0.00017991701,0.000021895063,0.0023549167],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99255097,0.0052184025,0.00035554543,0.00048043355,0.0004052452,0.0009894429],"domain_scores_gemma":[0.9827375,0.012857333,0.001142674,0.00030536728,0.0015717321,0.0013853684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014489042,0.00051884993,0.00073373294,0.0013724779,0.0053003584,0.00232262,0.0013726118,0.0013872471,0.0019767645],"category_scores_gemma":[0.016159868,0.00078170793,0.00061062374,0.0012055219,0.004671078,0.0027667696,0.004477772,0.0025685704,0.0002998847],"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":[0.00003294809,0.000039176146,0.00325237,0.00018592899,0.000003961544,0.0003734731,0.99221647,0.000030794523,0.0006040501,0.00035076973,0.00032841568,0.0025816911],"study_design_scores_gemma":[0.000005942742,0.000051079263,0.0015937303,0.00019968819,0.000004044617,0.000110492205,0.99393564,0.000086155786,0.00019857401,0.00012896994,0.0036767374,0.000008969816],"about_ca_topic_score_codex":0.013159002,"about_ca_topic_score_gemma":0.020846589,"teacher_disagreement_score":0.014489042,"about_ca_system_score_codex":0.0054275664,"about_ca_system_score_gemma":0.0059813424,"threshold_uncertainty_score":0.0766263},"labels":[],"label_agreement":null},{"id":"W4404634643","doi":"10.2196/63434","title":"Four New Patient-Reported Outcome Measures Examining Health-Seeking Behavior in Persons With Type 2 Diabetes Mellitus (REDD-CAT): Instrument Development Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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 Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; Michigan Institute for Clinical and Health Research; National Institutes of Health","keywords":"Confirmatory factor analysis; Exploratory factor analysis; Type 2 Diabetes Mellitus; Variance (accounting); Health care; Psychology; Test (biology); Clinical psychology; Medicine; Psychometrics; Structural equation modeling; Gerontology; Applied psychology; Diabetes mellitus; Statistics; Mathematics","score_opus":0.09455834365448748,"score_gpt":0.3222579932269041,"score_spread":0.22769964957241665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404634643","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770592,0.0003485963,0.0044971015,0.00034888118,0.00007597639,0.0064303013,0.008716341,0.000092429895,0.0024311913],"genre_scores_gemma":[0.93593055,0.00038199432,0.028432108,0.0003761888,0.00005144704,0.022146095,0.011496473,0.000033458746,0.0011516527],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99334174,0.003374203,0.0012112346,0.00048925844,0.0013208308,0.00026270063],"domain_scores_gemma":[0.9844965,0.0062153134,0.0042037233,0.0010091466,0.0032348295,0.0008404513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00916582,0.00067677774,0.0008517316,0.0017341247,0.0006591895,0.001032326,0.0010279224,0.0008271284,0.0014394753],"category_scores_gemma":[0.017515875,0.0005019887,0.002242759,0.0017710514,0.00040052002,0.0009526409,0.0019533406,0.0013578417,0.0003330628],"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":[0.002374154,0.0022156325,0.94726473,0.0004122605,0.00094366557,0.00005543232,0.00061118917,0.0016551741,0.0006347227,0.0004285202,0.0024066672,0.040997844],"study_design_scores_gemma":[0.00072693895,0.0020147737,0.988269,0.00008137383,0.00028643478,0.00015147595,0.00039863292,0.004590826,0.00050518045,0.00028095357,0.0026542123,0.00004022212],"about_ca_topic_score_codex":0.0017199167,"about_ca_topic_score_gemma":0.0033021949,"teacher_disagreement_score":0.00916582,"about_ca_system_score_codex":0.0011423776,"about_ca_system_score_gemma":0.0021465651,"threshold_uncertainty_score":0.048474073},"labels":[],"label_agreement":null},{"id":"W4404923932","doi":"10.2196/58680","title":"Lightening the Load: Generative AI to Mitigate the Burden of the New Era of Obesity Medical Therapy","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Health care; Type 2 diabetes; Intensive care medicine; Diabetes mellitus; Economic growth","score_opus":0.053986728859118226,"score_gpt":0.39319660660803135,"score_spread":0.33920987774891315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404923932","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06329108,0.014117231,0.5891696,0.117221616,0.0031224648,0.00036044035,0.00038187267,0.005012664,0.20732307],"genre_scores_gemma":[0.67870945,0.00985579,0.26107347,0.02101995,0.0017891948,0.00028632025,0.000554828,0.00080320187,0.025907777],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998396,0.00072366395,0.0000585266,0.00014694585,0.0005159723,0.00015887377],"domain_scores_gemma":[0.9955035,0.0025378424,0.00039767078,0.0006626845,0.00045235822,0.00044595028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031636006,0.00061546307,0.00039770643,0.0010147295,0.001258643,0.0044511193,0.001710335,0.0013411114,0.008715792],"category_scores_gemma":[0.009260844,0.0002701673,0.0007629367,0.0008257,0.0030338243,0.004224938,0.004591812,0.0029039765,0.002382983],"study_design_candidate":"theoretical_or_conceptual","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":[0.0002569914,0.0005002833,0.010582164,0.00095098885,0.00016749196,0.00046935232,0.002986962,0.022097897,0.0051360745,0.21762764,0.0634775,0.6757466],"study_design_scores_gemma":[0.00009247699,0.00035406573,0.004003687,0.001098924,0.0001760492,0.0006837369,0.0030430371,0.11400724,0.0037489939,0.52976346,0.34290925,0.00011915845],"about_ca_topic_score_codex":0.0015794083,"about_ca_topic_score_gemma":0.0029766879,"teacher_disagreement_score":0.008715792,"about_ca_system_score_codex":0.0012137098,"about_ca_system_score_gemma":0.0024920923,"threshold_uncertainty_score":0.029157162},"labels":[],"label_agreement":null},{"id":"W4405177818","doi":"10.2196/57526","title":"Diabetes Medical Group Visits and Type 2 Diabetes Outcomes: Mediation Analysis of Diabetes Distress","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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 Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Diabetes mellitus; Distress; Mediation; Medicine; Type 2 diabetes; Diabetes management; Moderation; Social support; Clinical psychology; Gerontology; Psychology; Endocrinology; Social psychology","score_opus":0.009087406062695648,"score_gpt":0.2921723634572038,"score_spread":0.2830849573945082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405177818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98166794,0.0038216887,0.003984369,0.0044006775,0.00023066982,0.00034923435,0.0012790443,0.00006881174,0.00419756],"genre_scores_gemma":[0.99739194,0.0004751778,0.000964755,0.00020835122,0.000055125343,0.00023218975,0.00021310242,0.000008264343,0.0004511133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99064344,0.007162426,0.00020760269,0.00063847716,0.00046575113,0.0008823084],"domain_scores_gemma":[0.98239905,0.01388505,0.0015801867,0.0007688005,0.00062732684,0.00073952775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009673217,0.0014052833,0.0009413953,0.0010176116,0.00067600707,0.001270778,0.0016342355,0.0007937681,0.0068133892],"category_scores_gemma":[0.026389306,0.0005417079,0.0034502347,0.0010342627,0.00062943157,0.0011045671,0.0024520364,0.002185094,0.0002626612],"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":[0.002046913,0.00077007536,0.9581213,0.00045876665,0.008018353,0.0003374095,0.0017380301,0.0012216598,0.0003431386,0.0017217734,0.0016862127,0.023536395],"study_design_scores_gemma":[0.00084790535,0.0024692332,0.944267,0.0007307595,0.0111083705,0.00061307236,0.0033661406,0.02420901,0.00079756294,0.0083478205,0.0031597472,0.00008342603],"about_ca_topic_score_codex":0.012502344,"about_ca_topic_score_gemma":0.0054397574,"teacher_disagreement_score":0.012502344,"about_ca_system_score_codex":0.00077007955,"about_ca_system_score_gemma":0.0020909947,"threshold_uncertainty_score":0.051157475},"labels":[],"label_agreement":null},{"id":"W4405462298","doi":"10.2196/56934","title":"mHealth Social Support Versus Standard Support for Diabetes Management in Safety-Net Emergency Department Patients: Randomized Phase-III Trial","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Preprint; Safety net; mHealth; Randomized controlled trial; Emergency department; Medicine; Medical emergency; Diabetes management; Social support; Diabetes mellitus; Psychology; Psychological intervention; Computer science; Nursing; World Wide Web; Type 2 diabetes; Internal medicine","score_opus":0.038303659820470744,"score_gpt":0.4417722633183493,"score_spread":0.40346860349787855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405462298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.892965,0.013114567,0.0028093162,0.0032783868,0.004984084,0.06982141,0.0052442057,0.00083910493,0.0069438308],"genre_scores_gemma":[0.88094664,0.0048337737,0.005941327,0.0035158484,0.0019223636,0.0918884,0.0019114836,0.00007889948,0.008961295],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9987484,0.00056552567,0.00011559415,0.0002456071,0.00009992627,0.00022487035],"domain_scores_gemma":[0.9980725,0.00063245517,0.00043529487,0.00016857198,0.00019455657,0.00049653364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00295064,0.0030303681,0.005528423,0.00068993756,0.0008170238,0.001828753,0.0018021693,0.0034564277,0.018638348],"category_scores_gemma":[0.0038498354,0.0009954675,0.0039560706,0.0006493206,0.0016406954,0.002008205,0.0008797571,0.0041932603,0.0022880165],"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":[0.9881274,0.0048567015,0.00009650126,0.0008415838,0.0005867557,0.000012148047,0.000020730175,0.00010236362,0.00024085512,0.0000678869,0.0004648164,0.004582191],"study_design_scores_gemma":[0.98521465,0.013938975,0.00019312442,0.000042168438,0.00017275097,0.000003956497,0.000008539775,0.00013136324,0.00005242504,0.00010007179,0.00013764924,0.0000044252465],"about_ca_topic_score_codex":0.0016842858,"about_ca_topic_score_gemma":0.0031484596,"teacher_disagreement_score":0.018638348,"about_ca_system_score_codex":0.001413645,"about_ca_system_score_gemma":0.0020719494,"threshold_uncertainty_score":0.062351465},"labels":[],"label_agreement":null},{"id":"W4405517223","doi":"10.2196/64267","title":"Exploring the Needs and Preferences of Users and Parents to Design a Mobile App to Deliver Mental Health Peer Support to Adolescents With Type 1 Diabetes: Qualitative Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Michael Smith Health Research BC; BC Children's Hospital; Children's Hospital Foundation","keywords":"Preprint; Peer support; Mental health; Qualitative research; Mobile apps; Psychology; Internet privacy; Applied psychology; Social support; Medical education; Computer science; World Wide Web; Medicine; Social psychology; Sociology; Psychiatry","score_opus":0.1167410491728615,"score_gpt":0.38805983683607653,"score_spread":0.27131878766321504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405517223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961612,0.0002771609,0.0014889371,0.00059768034,0.000022034914,0.00020218302,0.00007655961,0.000007944667,0.0011662702],"genre_scores_gemma":[0.995804,0.0005907405,0.001758914,0.0004508042,0.000010956668,0.000372765,0.000053325435,0.000012191205,0.00094629376],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99630356,0.0027238834,0.00011844332,0.00023298788,0.00023277977,0.0003883448],"domain_scores_gemma":[0.9914772,0.006915835,0.00046970928,0.00014154009,0.0004712768,0.00052449276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007252577,0.00047983913,0.0004294395,0.00083562004,0.0041862493,0.0020168293,0.0010791072,0.00095632806,0.0016364183],"category_scores_gemma":[0.012012125,0.00053195364,0.00046859423,0.00057589554,0.0030456681,0.0026316163,0.0027624208,0.0014845027,0.00016766155],"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":[0.000029959267,0.00008353404,0.007603424,0.00015657883,0.000006825041,0.001016018,0.98383623,0.00002715579,0.0008320595,0.00039005987,0.00032930958,0.0056888065],"study_design_scores_gemma":[0.0000052569967,0.00008616303,0.0027405664,0.00014239711,0.000008127679,0.00040601272,0.9922718,0.00009907435,0.00032693526,0.0001242076,0.0037802635,0.000009254047],"about_ca_topic_score_codex":0.0037042738,"about_ca_topic_score_gemma":0.0067346697,"teacher_disagreement_score":0.007252577,"about_ca_system_score_codex":0.0022155135,"about_ca_system_score_gemma":0.0022869392,"threshold_uncertainty_score":0.038355708},"labels":[],"label_agreement":null},{"id":"W4405593481","doi":"10.2196/67636","title":"“Now I can see it works!” Perspectives on Using a Nutrition-Focused Approach When Initiating Continuous Glucose Monitoring in People with Type 2 Diabetes: Qualitative Interview Study","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management 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":"Academy of Nutrition and Dietetics","keywords":"Preprint; Continuous glucose monitoring; Qualitative research; Type 2 diabetes; Gerontology; Computer science; Internet privacy; Medicine; Psychology; Type 1 diabetes; Sociology; Diabetes mellitus; World Wide Web; Social science","score_opus":0.05670034223651296,"score_gpt":0.3518206661996502,"score_spread":0.29512032396313725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405593481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9730444,0.0022936014,0.0056728893,0.009985237,0.00020383524,0.00051268586,0.00026926174,0.000035729583,0.00798238],"genre_scores_gemma":[0.9911034,0.0018345074,0.002365042,0.0021514636,0.0000376836,0.0006108031,0.00008778729,0.000030513558,0.0017787847],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.98089856,0.015245879,0.0005272154,0.00062227057,0.00085678685,0.0018492809],"domain_scores_gemma":[0.9670479,0.025449393,0.0016328607,0.000444579,0.002393384,0.0030318913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024482334,0.00070935226,0.0009181031,0.0018166422,0.011038971,0.004917769,0.0020429515,0.0022414632,0.0022795624],"category_scores_gemma":[0.02616702,0.00088158436,0.00088647654,0.0020048812,0.010642079,0.0052844984,0.007169007,0.0042483695,0.0003149606],"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":[0.000011489582,0.000012731133,0.0011345972,0.00008044835,0.000002524374,0.0002936539,0.9963916,0.000016986041,0.00020380052,0.00047076071,0.0002455768,0.0011357882],"study_design_scores_gemma":[0.0000021557655,0.000016872722,0.00040276637,0.00013289978,0.000002329245,0.000106651496,0.99615896,0.000038382605,0.000062986226,0.00016059756,0.0029078173,0.000007658962],"about_ca_topic_score_codex":0.01378381,"about_ca_topic_score_gemma":0.017806165,"teacher_disagreement_score":0.024482334,"about_ca_system_score_codex":0.007195593,"about_ca_system_score_gemma":0.007491723,"threshold_uncertainty_score":0.12947655},"labels":[],"label_agreement":null},{"id":"W4406189691","doi":"10.2196/60109","title":"Toward Personalized Digital Experiences to Promote Diabetes Self-Management: Mixed Methods Social Computing Approach","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Cancer Research Institute; University of Texas Health Science Center at Houston; U.S. National Library of Medicine; National Institute on Aging; National Cancer Institute; National Institutes of Health; Cancer Prevention and Research Institute of Texas","keywords":"Context (archaeology); Psychological intervention; Digital health; Set (abstract data type); Psychology; Diabetes management; Computer science; Scale (ratio); Applied psychology; Type 2 diabetes; Medicine; Diabetes mellitus; Health care; Psychiatry","score_opus":0.05796528568087695,"score_gpt":0.41903681399895665,"score_spread":0.3610715283180797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406189691","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2506065,0.0022392087,0.7040419,0.0037967805,0.00043952072,0.016381769,0.006087886,0.0011716888,0.015234687],"genre_scores_gemma":[0.4197652,0.00089039776,0.5437215,0.0011693704,0.00013172616,0.028386788,0.002474653,0.00013404895,0.0033263343],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.98418945,0.012866171,0.0004797189,0.0012164635,0.0010174,0.00023076552],"domain_scores_gemma":[0.98066807,0.015224819,0.0009261487,0.0014296236,0.0013234839,0.00042791656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017154915,0.0009861229,0.0007327498,0.003745463,0.0017646889,0.0036049853,0.0023654397,0.0010926297,0.0060474384],"category_scores_gemma":[0.02711435,0.0005473246,0.0023122765,0.002636521,0.0010727068,0.0017488512,0.0035934644,0.0012006715,0.00087424024],"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":[0.0010262198,0.0034287625,0.06563258,0.0059777643,0.002132325,0.0003446898,0.030032914,0.03195506,0.0034192326,0.046900056,0.0109341545,0.7982163],"study_design_scores_gemma":[0.0013766327,0.0060633398,0.06961323,0.005399214,0.0031304492,0.00046087833,0.04829628,0.46425754,0.014511901,0.23923138,0.14699796,0.0006612483],"about_ca_topic_score_codex":0.0047886,"about_ca_topic_score_gemma":0.00909746,"teacher_disagreement_score":0.017154915,"about_ca_system_score_codex":0.00209818,"about_ca_system_score_gemma":0.0026911178,"threshold_uncertainty_score":0.090724945},"labels":[],"label_agreement":null},{"id":"W4406862843","doi":"10.2196/52909","title":"Evaluating Digital Health Solutions in Diabetes and the Role of Patient-Reported Outcomes: Targeted Literature Review","year":2025,"lang":"en","type":"review","venue":"JMIR Diabetes","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":"","keywords":"Preprint; Diabetes mellitus; Digital health; Medicine; Gerontology; Health care; Computer science; Political science; World Wide Web","score_opus":0.05089533541497374,"score_gpt":0.46679756494069885,"score_spread":0.4159022295257251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406862843","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00039304156,0.99809307,0.00010895005,0.000695662,0.000094848205,0.000096853495,0.000101783866,0.000003356442,0.00041238923],"genre_scores_gemma":[0.005342213,0.99303824,0.0005134438,0.0006227575,0.00012127303,0.00020963594,0.000098447235,0.0000025888385,0.00005140673],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.98713255,0.005427533,0.0041834745,0.00063538,0.0023503245,0.0002707345],"domain_scores_gemma":[0.8676406,0.11237626,0.011560483,0.0008729256,0.0068633324,0.0006864183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017817954,0.001012223,0.004113995,0.017830623,0.0006647634,0.0040288465,0.0016748696,0.0026527958,0.0042868317],"category_scores_gemma":[0.08243508,0.0005890987,0.0042554536,0.020227352,0.0012826303,0.004176211,0.0022113812,0.0018722748,0.00038875834],"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":[0.0001367437,0.00008762713,0.0012338334,0.64084876,0.0017368399,0.0000810464,0.0005114351,0.00019791724,0.00010062302,0.0021047273,0.004570608,0.34838983],"study_design_scores_gemma":[0.00008280695,0.0001304926,0.0032100473,0.94681513,0.007957341,0.00024348138,0.0005500984,0.00013110119,0.000103833874,0.0010650764,0.03967911,0.000031407984],"about_ca_topic_score_codex":0.0057747597,"about_ca_topic_score_gemma":0.010755478,"teacher_disagreement_score":0.017830623,"about_ca_system_score_codex":0.0057051987,"about_ca_system_score_gemma":0.015357443,"threshold_uncertainty_score":0.09423149},"labels":[],"label_agreement":null},{"id":"W4406863081","doi":"10.2196/53854","title":"Exploring Psychosocial Burdens of Diabetes in Pregnancy and the Feasibility of Technology-Based Support: Qualitative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Gestational Diabetes Research and Management","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; Psychosocial; Qualitative research; Qualitative analysis; Pregnancy; Psychosocial support; Psychology; Medicine; Gerontology; Sociology; Computer science; Psychiatry; Biology; Social science","score_opus":0.07954460735641873,"score_gpt":0.40172385328138155,"score_spread":0.32217924592496283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406863081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885634,0.00084089884,0.0028143944,0.002160366,0.00006642408,0.0009057048,0.00020419728,0.000015290263,0.004429193],"genre_scores_gemma":[0.9935364,0.0012246716,0.0019014215,0.00077608397,0.000021288066,0.0010299952,0.000061918516,0.000016466905,0.0014316796],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9872149,0.010043069,0.00033899007,0.00052043726,0.0006927205,0.001189938],"domain_scores_gemma":[0.97209734,0.022949357,0.0013101365,0.00043764926,0.0015233532,0.0016820321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018896481,0.00054138224,0.00079153944,0.0014676026,0.008388212,0.0034366406,0.001681081,0.0015682179,0.0029875336],"category_scores_gemma":[0.028740775,0.0007245892,0.0005085194,0.0015322419,0.0064957333,0.0032024148,0.005420117,0.0023825658,0.0002878768],"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":[0.00004678336,0.00008962873,0.0032971785,0.0002404691,0.0000066617827,0.00087513175,0.9880248,0.00003324474,0.00064809,0.0006109267,0.00030011093,0.0058270777],"study_design_scores_gemma":[0.0000075076046,0.000084840874,0.0015833244,0.0002606421,0.000005671968,0.00023539663,0.99373204,0.000087517314,0.00021466224,0.00019248495,0.0035846236,0.00001140012],"about_ca_topic_score_codex":0.0069463043,"about_ca_topic_score_gemma":0.010607422,"teacher_disagreement_score":0.018896481,"about_ca_system_score_codex":0.004987705,"about_ca_system_score_gemma":0.0069914167,"threshold_uncertainty_score":0.09993529},"labels":[],"label_agreement":null},{"id":"W4406863677","doi":"10.2196/66831","title":"Applications of AI in Predicting Drug Responses for Type 2 Diabetes","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Machine Learning in Healthcare","field":"Computer Science","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":"Novo Nordisk","keywords":"Preprint; Artificial intelligence; Drug; Computer science; Medicine; Pharmacology; World Wide Web","score_opus":0.013146785317052512,"score_gpt":0.3451500233932272,"score_spread":0.3320032380761747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406863677","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.289606,0.028813098,0.64815325,0.009574913,0.0010077371,0.0003737708,0.0030859848,0.003075917,0.016309291],"genre_scores_gemma":[0.91110384,0.0036844548,0.08108915,0.00080855493,0.0005161886,0.00014799551,0.0011730482,0.00004941284,0.0014272801],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990036,0.00046960774,0.00009873967,0.00015888481,0.00021995489,0.000049231017],"domain_scores_gemma":[0.99071586,0.0073781996,0.0006380454,0.0002688615,0.00078432326,0.0002147805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003196631,0.0010555857,0.00081331277,0.0022683407,0.0004050479,0.001290461,0.0007783263,0.0009638572,0.0016463842],"category_scores_gemma":[0.01420422,0.00019648328,0.0006782137,0.0017936981,0.00034329755,0.00069582835,0.000713214,0.0015759239,0.0004421274],"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":[0.00042094325,0.000317139,0.07068489,0.0003546378,0.0005750636,0.0001561738,0.00012779166,0.5361441,0.0011437961,0.0029513761,0.005181252,0.38194278],"study_design_scores_gemma":[0.000012176707,0.00010790656,0.0057386355,0.00005716589,0.00006203861,0.000087607616,0.000029919254,0.98643166,0.00057751284,0.0052716634,0.0016055531,0.000018078403],"about_ca_topic_score_codex":0.0068030423,"about_ca_topic_score_gemma":0.0040275017,"teacher_disagreement_score":0.0068030423,"about_ca_system_score_codex":0.0008610574,"about_ca_system_score_gemma":0.00086522056,"threshold_uncertainty_score":0.016905606},"labels":[],"label_agreement":null},{"id":"W4406863868","doi":"10.2196/64832","title":"Digital Innovation and Integrated Care in People With Diabetes in Western Sydney: Retrospective Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Preprint; Retrospective cohort study; Cohort; Medicine; Gerontology; Computer science; Internal medicine; World Wide Web","score_opus":0.010628461072227655,"score_gpt":0.3528507874061657,"score_spread":0.34222232633393807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406863868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99940383,0.000098915625,0.000023073915,0.000020550608,0.0000028952477,0.00003990238,0.00019826615,0.0000010134306,0.00021153623],"genre_scores_gemma":[0.99908984,0.00015313961,0.00009143852,0.000052786534,0.000006936518,0.00008493464,0.00027285068,0.000001596737,0.00024639434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934715,0.00012781928,0.00009126324,0.00014452169,0.00016666453,0.00012256662],"domain_scores_gemma":[0.9989035,0.000091515845,0.0005270126,0.00011895259,0.00015588169,0.00020309257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076874625,0.00029021257,0.00039539402,0.00090173114,0.0007690266,0.00073682657,0.0004253107,0.0004326824,0.0012596234],"category_scores_gemma":[0.0014072446,0.000547887,0.0005754801,0.0018008498,0.00039162938,0.0005723324,0.0009690541,0.0008564309,0.000268731],"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":[0.00004371828,0.000057046906,0.9989843,0.0000097107495,0.000022108447,0.00006133463,0.00031679176,0.000006033839,0.000057662746,0.000005915283,0.000055502023,0.00037991416],"study_design_scores_gemma":[0.000007766265,0.00011590428,0.9988851,0.000010451031,0.000020059884,0.00011462084,0.0006526335,0.00004575789,0.000014865856,0.0000048454867,0.00012512512,0.0000028103177],"about_ca_topic_score_codex":0.06198855,"about_ca_topic_score_gemma":0.06946306,"teacher_disagreement_score":0.06198855,"about_ca_system_score_codex":0.0010449751,"about_ca_system_score_gemma":0.0010938304,"threshold_uncertainty_score":0.12325549},"labels":[],"label_agreement":null},{"id":"W4407153457","doi":"10.2196/68324","title":"Enhancing Health Equity and Patient Engagement in Diabetes Care: Technology-Aided Continuous Glucose Monitoring Pilot Implementation Project","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management 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":"National Center for Advancing Translational Sciences; National Institutes of Health","keywords":"Medicine; Health equity; Health care; Digital health; Diabetes management; Equity (law); Population; Family medicine; Nursing; Gerontology; Diabetes mellitus; Type 2 diabetes; Environmental health; Public health","score_opus":0.024331001806894483,"score_gpt":0.3697433841083924,"score_spread":0.34541238230149796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407153457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.963036,0.000115946255,0.003369476,0.0063244374,0.00010855205,0.02086174,0.00078979024,0.00018539258,0.0052085784],"genre_scores_gemma":[0.93875986,0.00029106042,0.029915791,0.00408722,0.00011707546,0.024232306,0.00085025,0.00003306674,0.0017134793],"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9866642,0.009088604,0.00046511088,0.0004937443,0.0008819715,0.0024063257],"domain_scores_gemma":[0.98326945,0.0046326555,0.001059839,0.0012792642,0.0016637678,0.008095056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021093957,0.0007617554,0.0004500062,0.0007692332,0.0034492642,0.0026362953,0.0021066784,0.001512059,0.0025216162],"category_scores_gemma":[0.015967024,0.00065042434,0.00079511554,0.0006405288,0.0017950023,0.0015160778,0.0060026194,0.0033464564,0.0004144599],"study_design_candidate":"nonrandomized_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":[0.0072270855,0.21008126,0.16809428,0.0011351199,0.0003277346,0.0014304282,0.037174493,0.0023320823,0.0063777445,0.0032976305,0.021928914,0.5405933],"study_design_scores_gemma":[0.028901784,0.17389426,0.65422165,0.0012746176,0.0007976661,0.00080585125,0.06272258,0.012777418,0.009831103,0.004088384,0.05038428,0.00030044751],"about_ca_topic_score_codex":0.015037755,"about_ca_topic_score_gemma":0.02233166,"teacher_disagreement_score":0.021093957,"about_ca_system_score_codex":0.0038967025,"about_ca_system_score_gemma":0.03314447,"threshold_uncertainty_score":0.11155683},"labels":[],"label_agreement":null},{"id":"W4407901979","doi":"10.2196/64505","title":"Examining How Adults With Diabetes Use Technologies to Support Diabetes Self-Management: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Preprint; Diabetes mellitus; Diabetes management; Medicine; Psychology; Gerontology; Computer science; Type 2 diabetes; World Wide Web; Endocrinology","score_opus":0.039400618173429096,"score_gpt":0.4171537134170763,"score_spread":0.3777530952436472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407901979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886875,0.0044533424,0.0018450276,0.00043852633,0.000041277122,0.0013498451,0.0010711654,0.000013142466,0.0021001312],"genre_scores_gemma":[0.9804325,0.0054198913,0.006374355,0.0019210841,0.00006416246,0.0037502376,0.0008938869,0.000018542585,0.0011253792],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9935836,0.0034425084,0.0010683067,0.00068476785,0.00085829315,0.000362649],"domain_scores_gemma":[0.9927279,0.0037003413,0.001543882,0.00045118603,0.0012802993,0.0002963771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009948876,0.00045152858,0.0008410132,0.0017794609,0.001399475,0.0021628684,0.0007096163,0.0008495382,0.0023093456],"category_scores_gemma":[0.014864983,0.00064785744,0.001557582,0.0022573746,0.00050054886,0.0022458152,0.0015709515,0.0007545674,0.00044882315],"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":[0.0005599599,0.0022234945,0.8191478,0.0037367255,0.0013293689,0.00055027474,0.078735545,0.000090196605,0.00087034394,0.000579755,0.0019577409,0.0902187],"study_design_scores_gemma":[0.00033885683,0.0054718195,0.71457726,0.0059241797,0.0018348,0.0021340617,0.24708277,0.0011627421,0.0012263649,0.0010661058,0.018988024,0.00019303778],"about_ca_topic_score_codex":0.0061395844,"about_ca_topic_score_gemma":0.012461161,"teacher_disagreement_score":0.009948876,"about_ca_system_score_codex":0.0011692697,"about_ca_system_score_gemma":0.0015121547,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4408182058","doi":"10.2196/72076","title":"Correction: Glycemic Control, Renal Progression, and Use of Telemedicine Phone Consultations Among Japanese Patients With Type 2 Diabetes Mellitus During the COVID-19 Pandemic: Retrospective Cohort Study","year":2025,"lang":"en","type":"erratum","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Glycemic; Medicine; Pandemic; Coronavirus disease 2019 (COVID-19); Telemedicine; Diabetes mellitus; Retrospective cohort study; Type 2 Diabetes Mellitus; 2019-20 coronavirus outbreak; Internal medicine; Health care; Disease; Virology; Endocrinology; Outbreak","score_opus":0.017094144948903076,"score_gpt":0.3540383599577302,"score_spread":0.3369442150088271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408182058","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00097214617,0.0029848414,0.00076288765,0.088564195,0.8923618,0.00006981106,0.011422098,0.0004193932,0.0024428847],"genre_scores_gemma":[0.102975585,0.027673692,0.011429394,0.1799822,0.47975728,0.0011676459,0.029188255,0.002581428,0.16524456],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99463034,0.0011289763,0.001560083,0.00059628143,0.0017092688,0.00037494552],"domain_scores_gemma":[0.9682512,0.011195656,0.0035077513,0.0014319925,0.014423844,0.0011895621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053225835,0.0020559162,0.0016853212,0.0031032898,0.0017819529,0.0022983449,0.0026637223,0.004049531,0.040864307],"category_scores_gemma":[0.07965094,0.00090342184,0.0016905079,0.0035809847,0.00088752,0.0014766882,0.0011478061,0.004686295,0.010889655],"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":[0.000053381802,0.000005702318,0.00079056283,0.00030569214,0.00003070863,0.00023454687,0.000039966442,0.000029483239,0.000015545453,0.00022025549,0.9942836,0.003990496],"study_design_scores_gemma":[0.0004756937,0.000100381556,0.016750474,0.006081512,0.0004787151,0.0034483958,0.0006019512,0.0010509614,0.00046044606,0.00206167,0.9682701,0.00021961782],"about_ca_topic_score_codex":0.04528578,"about_ca_topic_score_gemma":0.046416674,"teacher_disagreement_score":0.04528578,"about_ca_system_score_codex":0.0027551502,"about_ca_system_score_gemma":0.0059438385,"threshold_uncertainty_score":0.13670474},"labels":[],"label_agreement":null},{"id":"W4408306584","doi":"10.2196/60765","title":"Patient and Clinician Perspectives on the Effectiveness of Current Telemedicine Approaches in Endocrinology Care for Type 2 Diabetes: Qualitative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management 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":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Telemedicine; Medicine; Specialty; Qualitative research; Diabetes mellitus; Type 2 diabetes; Multidisciplinary approach; Diabetes management; Type 1 diabetes; MEDLINE; Family medicine; Medical emergency; Nursing; Health care; Intensive care medicine","score_opus":0.07079184608426706,"score_gpt":0.40864980166103854,"score_spread":0.33785795557677145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408306584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98994803,0.0009681799,0.0020216478,0.003404147,0.00006131749,0.0002753739,0.0001830061,0.000011998188,0.0031262466],"genre_scores_gemma":[0.9955568,0.00078244705,0.0012193936,0.0012527966,0.000019472309,0.00038916734,0.000048204496,0.000012692401,0.00071910373],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.97118527,0.023973597,0.00086504506,0.0009957387,0.0012808236,0.0016995573],"domain_scores_gemma":[0.9291223,0.05947076,0.0036483333,0.000997342,0.0035884927,0.0031727073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027572254,0.00044019357,0.0006526529,0.0011263668,0.006087577,0.0032890788,0.0015580693,0.001616459,0.0031041484],"category_scores_gemma":[0.03905606,0.00069342303,0.00054269005,0.0014436555,0.0054013077,0.003580796,0.004815682,0.0024382619,0.00026201466],"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":[0.000044810255,0.000059403417,0.0044577285,0.00022498291,0.000007475979,0.00041021756,0.9901417,0.00003331394,0.0004171238,0.00045450917,0.0003887847,0.003360042],"study_design_scores_gemma":[0.000012596935,0.00007700643,0.0015960356,0.0002658479,0.000006294459,0.00020739788,0.99408937,0.00009773528,0.00020018952,0.00015099818,0.0032822296,0.0000143441075],"about_ca_topic_score_codex":0.0070364233,"about_ca_topic_score_gemma":0.009819627,"teacher_disagreement_score":0.027572254,"about_ca_system_score_codex":0.00576941,"about_ca_system_score_gemma":0.0066071814,"threshold_uncertainty_score":0.14581782},"labels":[],"label_agreement":null},{"id":"W4408480765","doi":"10.2196/70380","title":"Correlation Between Technology and Improved Outcomes in Youth With Type 1 Diabetes Mellitus: Prospective Study Examining Outcomes for Patients With Depression and Those With Public Insurance","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"National Center for Advancing Translational Sciences","keywords":"Preprint; Depression (economics); Type 2 Diabetes Mellitus; Public health insurance; Medicine; Diabetes mellitus; Gerontology; Psychiatry; Psychology; Health insurance; Political science; Economics; Computer science; Health care; Endocrinology; World Wide Web","score_opus":0.017276184426970626,"score_gpt":0.28883191814934983,"score_spread":0.2715557337223792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408480765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99891543,0.00021977047,0.00003292926,0.00006525176,0.000005454352,0.000009957493,0.0005276305,0.0000016399518,0.00022195744],"genre_scores_gemma":[0.9992188,0.00014162509,0.000056015815,0.000037944657,0.000007595766,0.000011937777,0.00044984996,9.67884e-7,0.00007521165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993449,0.00016929857,0.00009607552,0.00013847058,0.00011746479,0.00013380848],"domain_scores_gemma":[0.99686253,0.00040231543,0.0018428232,0.00012209156,0.00023321377,0.0005371905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009187169,0.00023769645,0.0003661423,0.0008342651,0.0004947558,0.0009023237,0.00038600215,0.00054594775,0.0014266104],"category_scores_gemma":[0.0034518563,0.0003454542,0.0007495782,0.0015994025,0.00026644891,0.00053675886,0.00065009895,0.0012754708,0.00018576591],"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":[0.000014900025,0.000018245328,0.9997193,0.0000020268699,0.0000147413575,0.000008200585,0.000017630447,0.000005514377,0.000005629588,0.0000032991625,0.000026069483,0.00016433548],"study_design_scores_gemma":[0.0000037641967,0.000051677882,0.99962234,0.000005197366,0.000015332276,0.00004708651,0.0001368755,0.000062959814,0.0000067756573,0.0000053913404,0.00004109834,0.0000014491415],"about_ca_topic_score_codex":0.013556122,"about_ca_topic_score_gemma":0.018143203,"teacher_disagreement_score":0.013556122,"about_ca_system_score_codex":0.00052797113,"about_ca_system_score_gemma":0.0005905021,"threshold_uncertainty_score":0.026954412},"labels":[],"label_agreement":null},{"id":"W4408658747","doi":"10.2196/72689","title":"Correction: Enhancing Health Equity and Patient Engagement in Diabetes Care: Technology-Aided Continuous Glucose Monitoring Pilot Implementation Project","year":2025,"lang":"en","type":"erratum","venue":"JMIR Diabetes","topic":"Diabetes Management 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":"Continuous glucose monitoring; Equity (law); Diabetes mellitus; Health care; Medicine; Business; Political science; Type 1 diabetes","score_opus":0.02352132017247271,"score_gpt":0.3559402749026568,"score_spread":0.33241895473018407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408658747","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000076790864,0.00045306724,0.00040206657,0.093093164,0.9029541,0.000037676127,0.0010185501,0.0003235592,0.0016408851],"genre_scores_gemma":[0.012296339,0.00908949,0.0056248205,0.27385873,0.56035703,0.00066012074,0.0025178504,0.0016945587,0.133901],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.98482174,0.0029307825,0.002615387,0.0015740173,0.0066689067,0.0013891846],"domain_scores_gemma":[0.9304967,0.02353934,0.0034509043,0.0028133555,0.03627859,0.0034209841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010453493,0.0037527243,0.002662186,0.003234201,0.0053267404,0.006873855,0.0050711394,0.016190806,0.044376317],"category_scores_gemma":[0.14137536,0.0020037193,0.0025944037,0.0031556168,0.0040667816,0.0029029495,0.0030025798,0.023762947,0.026824562],"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":[0.000023598992,0.000006768547,0.000040784777,0.000092101356,0.000009153197,0.00011902264,0.00003189915,0.00002197353,0.0000129145055,0.00041061343,0.9966382,0.0025931478],"study_design_scores_gemma":[0.0001558305,0.00004983892,0.00087438343,0.0010802544,0.00007584605,0.0004495016,0.00021540509,0.00048331966,0.00033223935,0.0016980628,0.99449265,0.000092651724],"about_ca_topic_score_codex":0.04639659,"about_ca_topic_score_gemma":0.048050214,"teacher_disagreement_score":0.04639659,"about_ca_system_score_codex":0.007002174,"about_ca_system_score_gemma":0.015951687,"threshold_uncertainty_score":0.14845353},"labels":[],"label_agreement":null},{"id":"W4408660873","doi":"10.2196/62926","title":"Understanding Device Integrations Within Diabetes Apps: Mixed Methods Analysis of App Features and User Reviews","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Preprint; Mobile apps; App store; Computer science; Data science; World Wide Web","score_opus":0.11953315129601844,"score_gpt":0.4961183370948778,"score_spread":0.37658518579885936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408660873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5971916,0.30459556,0.019659646,0.0052143955,0.0007331863,0.018378591,0.035609987,0.0005778,0.018039294],"genre_scores_gemma":[0.8306842,0.071639925,0.039486647,0.0033175086,0.00037603555,0.034601282,0.014455024,0.00047235645,0.004967138],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9447252,0.02376641,0.013267605,0.0039036304,0.013119205,0.0012179015],"domain_scores_gemma":[0.6294897,0.28413722,0.037255377,0.005895649,0.041844267,0.0013777071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.052453507,0.000871462,0.0025062868,0.023684993,0.0014122354,0.004149915,0.0017105882,0.0011345408,0.0023128607],"category_scores_gemma":[0.2440777,0.000769205,0.0026751996,0.016058573,0.0011015655,0.00464423,0.0035480256,0.0011527154,0.0007148618],"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":[0.0017733467,0.0003720117,0.17973913,0.23199075,0.0047952863,0.0021363725,0.14134756,0.0006177516,0.0038605172,0.0026775866,0.026441032,0.40424865],"study_design_scores_gemma":[0.0003866305,0.001666265,0.4365846,0.19315462,0.01536388,0.002642018,0.09978413,0.004157132,0.0052880384,0.003142926,0.23718083,0.0006489482],"about_ca_topic_score_codex":0.005923568,"about_ca_topic_score_gemma":0.01588145,"teacher_disagreement_score":0.052453507,"about_ca_system_score_codex":0.003297363,"about_ca_system_score_gemma":0.007171838,"threshold_uncertainty_score":0.27740395},"labels":[],"label_agreement":null},{"id":"W4408664396","doi":"10.2196/65665","title":"An Exergames Program for Adolescents With Type 1 Diabetes: Qualitative Study of Acceptability","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Preprint; Psychology; Qualitative research; Type 2 diabetes; Diabetes mellitus; Medicine; Computer science; Sociology; World Wide Web","score_opus":0.026332230944356376,"score_gpt":0.42314726667558095,"score_spread":0.39681503573122456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408664396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99479645,0.00022992733,0.0011517251,0.0005523919,0.000024775476,0.0006041662,0.00013449109,0.000011145074,0.00249486],"genre_scores_gemma":[0.99492836,0.00052661874,0.0016491832,0.00033899397,0.0000134154125,0.001136041,0.000086534885,0.000017474551,0.0013035132],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.995827,0.0029894926,0.00015627488,0.00023417504,0.00030276715,0.0004903796],"domain_scores_gemma":[0.99387664,0.004530363,0.00038737885,0.00010622667,0.0005030521,0.00059628894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076784166,0.00046573643,0.00058902067,0.0009044502,0.0043555982,0.0017229527,0.0010734914,0.0007313406,0.00206418],"category_scores_gemma":[0.010448798,0.00043074615,0.00045527465,0.00069512747,0.0023838063,0.0014246616,0.0032957946,0.0014780253,0.00016747875],"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":[0.00007310485,0.00032103312,0.010796164,0.00035616825,0.0000062817417,0.00075774326,0.9746372,0.000041825333,0.0010207501,0.00054176385,0.00035839493,0.011089594],"study_design_scores_gemma":[0.000020386617,0.00033315297,0.010172164,0.00031809663,0.00001338149,0.00036622232,0.9805766,0.00011091429,0.0005232008,0.00018483397,0.007366295,0.000014697547],"about_ca_topic_score_codex":0.0048200367,"about_ca_topic_score_gemma":0.009780869,"teacher_disagreement_score":0.0076784166,"about_ca_system_score_codex":0.0024630025,"about_ca_system_score_gemma":0.0029764504,"threshold_uncertainty_score":0.04060787},"labels":[],"label_agreement":null},{"id":"W4408855802","doi":"10.2196/64096","title":"School-Partnered Collaborative Care (SPACE) for Pediatric Type 1 Diabetes: Development and Usability Study of a Virtual Intervention With Multisystem Community Partners","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Usability; Psychological intervention; System usability scale; Applied psychology; Psychology; Nursing; Intervention (counseling); Psychosocial; Medical education; Medicine; Computer science; Heuristic evaluation; Human–computer interaction","score_opus":0.026063983349702762,"score_gpt":0.3606975406072299,"score_spread":0.33463355725752714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408855802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928342,0.00010442765,0.0030005162,0.00006491584,0.00002225143,0.0032431574,0.00005074035,0.0000708766,0.00060886494],"genre_scores_gemma":[0.9612649,0.0002832739,0.02794749,0.00011669747,0.000027890115,0.009770098,0.00014229093,0.000030271602,0.00041712032],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9890787,0.00831278,0.0005903138,0.00071942207,0.0006832417,0.0006154946],"domain_scores_gemma":[0.9866529,0.009232816,0.0006742882,0.0010752254,0.0010620792,0.0013026593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0145903025,0.0009560839,0.00096590765,0.0010800039,0.0010436932,0.0014071515,0.0014943322,0.0008809268,0.002110666],"category_scores_gemma":[0.022734713,0.000600796,0.0010891384,0.00060461083,0.001045861,0.0013336798,0.0026411416,0.0007146547,0.00015765076],"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":[0.011657514,0.12843315,0.062712416,0.0070657083,0.0010656734,0.0012482044,0.08249239,0.005521204,0.010000931,0.001385953,0.0027012727,0.6857156],"study_design_scores_gemma":[0.037926473,0.5645848,0.24460034,0.0025929876,0.0024268099,0.0016436479,0.07697034,0.024049425,0.017031625,0.0018970376,0.025664294,0.00061220035],"about_ca_topic_score_codex":0.0016271756,"about_ca_topic_score_gemma":0.0023540356,"teacher_disagreement_score":0.0145903025,"about_ca_system_score_codex":0.0013434292,"about_ca_system_score_gemma":0.0027202207,"threshold_uncertainty_score":0.07716185},"labels":[],"label_agreement":null},{"id":"W4409000660","doi":"10.2196/65328","title":"Development of a Smartphone App for Women Living With Gestational Diabetes Mellitus: Qualitative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Preprint; Gestational diabetes; Diabetes mellitus; Medicine; Qualitative research; Gerontology; Obstetrics; Pregnancy; Computer science; Endocrinology; Gestation; Sociology; Biology; Social science; World Wide Web","score_opus":0.036341040806261896,"score_gpt":0.43763036382248205,"score_spread":0.40128932301622017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409000660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873898,0.0012384044,0.0021525652,0.003135807,0.00009437331,0.00047613608,0.00026003685,0.000020273825,0.0052325595],"genre_scores_gemma":[0.9883454,0.0023537218,0.0028633745,0.0017843134,0.00003642214,0.00071571866,0.00014804029,0.000032339827,0.0037207277],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99718,0.0018072797,0.000117005155,0.00021429529,0.0003036695,0.00037776318],"domain_scores_gemma":[0.9928423,0.0053343605,0.00035629416,0.00013385135,0.00069445104,0.00063881447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056339856,0.00039894378,0.00057574187,0.000987448,0.0048007728,0.0021222238,0.0010063914,0.0010853052,0.0025692203],"category_scores_gemma":[0.010237435,0.00047004144,0.00035199404,0.0009912635,0.0027127746,0.0021752878,0.0031108519,0.0015906836,0.00034241405],"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":[0.000029913112,0.00006198171,0.004725978,0.00041545596,0.0000041149656,0.0016896912,0.9807881,0.000016911099,0.0009853782,0.0006253384,0.0009283872,0.009728733],"study_design_scores_gemma":[0.0000043595273,0.00008400697,0.0025595769,0.0003457515,0.000006530703,0.00051572546,0.9839393,0.00008558179,0.00027241552,0.00014863996,0.012027455,0.000010715699],"about_ca_topic_score_codex":0.0052922443,"about_ca_topic_score_gemma":0.009109254,"teacher_disagreement_score":0.0056339856,"about_ca_system_score_codex":0.0024552543,"about_ca_system_score_gemma":0.0037299464,"threshold_uncertainty_score":0.029795706},"labels":[],"label_agreement":null},{"id":"W4409008193","doi":"10.2196/66117","title":"eHealth Literacy and Its Association With Demographic Factors, Disease-Specific Factors, and Well-Being Among Adults With Type 1 Diabetes: Cross-Sectional Survey Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Health Literacy and Information Accessibility","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":"Region Värmland; Sophiahemmet Högskola; Karlstads universitet","keywords":"eHealth; Health literacy; Psychosocial; Type 2 diabetes; Literacy; Cross-sectional study; Medicine; Gerontology; Psychology; Health care; Diabetes mellitus","score_opus":0.024673438952081517,"score_gpt":0.36893052645273333,"score_spread":0.3442570875006518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409008193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99787545,0.00020762329,0.00009042053,0.000070895854,0.0000064199658,0.00007936219,0.0012138489,0.0000028354502,0.00045316305],"genre_scores_gemma":[0.99736744,0.00033455045,0.00039892446,0.00015393113,0.000014253631,0.0001940446,0.0012294513,0.0000019004785,0.00030539173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990784,0.0003004107,0.00019411794,0.00013563472,0.00017794111,0.00011345866],"domain_scores_gemma":[0.9980781,0.00041870298,0.0007557984,0.00011964126,0.00036636542,0.00026143965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016617476,0.00017732143,0.00035974692,0.0008041438,0.00047530784,0.0006785299,0.00025203434,0.00044577513,0.0015409589],"category_scores_gemma":[0.0028647687,0.00033169927,0.00063457526,0.0013719982,0.00018882104,0.0006076823,0.00060506334,0.0007111467,0.00037146494],"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":[0.00003399778,0.00012504731,0.9981001,0.00003534576,0.000041772986,0.000023567505,0.0002857937,0.000014643894,0.00005640464,0.000007646988,0.0001479898,0.0011276281],"study_design_scores_gemma":[0.0000053604913,0.000173627,0.99878544,0.000018931925,0.000025404943,0.000086212,0.0005708916,0.00007463646,0.000028652239,0.0000074656496,0.00022010283,0.0000032723585],"about_ca_topic_score_codex":0.0070183193,"about_ca_topic_score_gemma":0.0110172285,"teacher_disagreement_score":0.0070183193,"about_ca_system_score_codex":0.0004016359,"about_ca_system_score_gemma":0.000473743,"threshold_uncertainty_score":0.013954937},"labels":[],"label_agreement":null},{"id":"W4409146800","doi":"10.2196/62876","title":"A Culturally Tailored Physical Activity Intervention for Hispanic Adults Living With Type 2 Diabetes: Pre-Post Pilot Feasibility Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Physical Activity and Health","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":"Preprint; Intervention (counseling); Type 2 diabetes; Gerontology; Psychology; Medicine; Diabetes mellitus; Computer science; Psychiatry; World Wide Web","score_opus":0.028142644369562816,"score_gpt":0.3481864282013704,"score_spread":0.3200437838318076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409146800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99397826,0.000024840068,0.00018888582,0.00009110241,0.000022654549,0.0048050266,0.0001678699,0.00001576964,0.0007056424],"genre_scores_gemma":[0.97432375,0.00026021636,0.005912246,0.0005818105,0.000055029595,0.016789492,0.00045503862,0.000013889002,0.0016085457],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9991178,0.00039156838,0.0000637764,0.00009742061,0.00012377926,0.00020578993],"domain_scores_gemma":[0.99878913,0.00029969454,0.000105218634,0.0000974235,0.00020582153,0.00050271454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028038118,0.00070189143,0.00065541925,0.00036514172,0.0009570021,0.0005303756,0.000537259,0.0006569395,0.0032408684],"category_scores_gemma":[0.0026566049,0.00050260423,0.0007916296,0.0002637171,0.00044789445,0.00047798821,0.00088731566,0.0012881818,0.0003693188],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_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":[0.033961046,0.66104144,0.06523354,0.0013257771,0.0004839172,0.00073620846,0.013968284,0.0010232263,0.016558958,0.00024403277,0.0023977386,0.20302582],"study_design_scores_gemma":[0.057737775,0.45640615,0.45640603,0.00034248366,0.0004719896,0.00024560088,0.014284778,0.0016319414,0.0054012,0.00039366487,0.0065719998,0.00010635821],"about_ca_topic_score_codex":0.0041214507,"about_ca_topic_score_gemma":0.007583605,"teacher_disagreement_score":0.0041214507,"about_ca_system_score_codex":0.0005247949,"about_ca_system_score_gemma":0.0028026977,"threshold_uncertainty_score":0.014828205},"labels":[],"label_agreement":null},{"id":"W4409147045","doi":"10.2196/69243","title":"Young Adults With Type 1 Diabetes and Their Perspectives on Diabetes-Related Social Media: Qualitative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Preprint; Qualitative research; Psychology; Type 2 diabetes; Social media; Diabetes mellitus; Developmental psychology; Medicine; Sociology; Computer science; World Wide Web; Anthropology; Endocrinology","score_opus":0.01410913035454617,"score_gpt":0.32372715663608465,"score_spread":0.30961802628153845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409147045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953576,0.00075590296,0.0003769344,0.0008407732,0.000043718548,0.00023775175,0.00022880526,0.000006520262,0.0021521104],"genre_scores_gemma":[0.9950191,0.0015002709,0.0005207017,0.0007112616,0.000024444942,0.00047059022,0.000115805815,0.00001052082,0.0016272991],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9971252,0.0017472082,0.00013288528,0.00018606732,0.00020147704,0.000607156],"domain_scores_gemma":[0.99214363,0.005340356,0.0007061684,0.0001122066,0.00059010903,0.0011075155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061198855,0.00049372006,0.000741444,0.0014096112,0.005570456,0.0028388305,0.0009125741,0.0009803211,0.0030067146],"category_scores_gemma":[0.007706848,0.0006155258,0.0004316311,0.0016097395,0.003086021,0.0029143128,0.0038790575,0.0016923782,0.0002879515],"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":[0.00002687677,0.00005403626,0.0071412264,0.00017491342,0.000004117302,0.0006948127,0.98794824,0.000009438341,0.00039643276,0.00024080962,0.00031013804,0.0029989984],"study_design_scores_gemma":[0.0000022399076,0.00003682751,0.002447608,0.00011357072,0.000002583762,0.000111445464,0.9954341,0.000015955979,0.000063812535,0.00003179702,0.0017360179,0.000003997308],"about_ca_topic_score_codex":0.013135405,"about_ca_topic_score_gemma":0.02933402,"teacher_disagreement_score":0.013135405,"about_ca_system_score_codex":0.0035132791,"about_ca_system_score_gemma":0.0038703193,"threshold_uncertainty_score":0.03236544},"labels":[],"label_agreement":null},{"id":"W4409315166","doi":"10.2196/70475","title":"Digital Decision Support for Perioperative Care of Patients With Type 2 Diabetes: A Call to Action","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Clinical practice guidelines 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":"Call to action; Type 2 diabetes; Perioperative; Action (physics); Medicine; Diabetes mellitus; Intensive care medicine; Computer science; Business; Surgery; Endocrinology","score_opus":0.05887844752253886,"score_gpt":0.442358533178456,"score_spread":0.3834800856559172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409315166","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017707933,0.063194655,0.0041023553,0.9145736,0.0065697487,0.00014171338,0.00009695871,0.00023527927,0.009314932],"genre_scores_gemma":[0.055421624,0.35503334,0.111749075,0.44402954,0.026331497,0.0011727448,0.00062182965,0.00024058916,0.0053997096],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9765121,0.014007725,0.0026783717,0.00079917646,0.0048916927,0.0011110138],"domain_scores_gemma":[0.87113905,0.07758329,0.008539292,0.0033317837,0.019339908,0.020066705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.030041808,0.00086405437,0.0014314157,0.0019626056,0.0022484632,0.008833558,0.0041190675,0.010418225,0.010713439],"category_scores_gemma":[0.0818226,0.0005296173,0.0022347355,0.0018218306,0.0036085956,0.010611672,0.008650763,0.019519335,0.0030865914],"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":[0.00007857284,0.0004646365,0.0023232545,0.0048369206,0.00011223356,0.00031396197,0.0019232191,0.0004717622,0.00031883334,0.008028272,0.32693186,0.65419644],"study_design_scores_gemma":[0.00016507968,0.0003409519,0.0044119386,0.0373609,0.00019995836,0.0011316194,0.006180277,0.001217976,0.00033718027,0.026791865,0.9217031,0.00015914424],"about_ca_topic_score_codex":0.0042403084,"about_ca_topic_score_gemma":0.008585717,"teacher_disagreement_score":0.030041808,"about_ca_system_score_codex":0.0033576603,"about_ca_system_score_gemma":0.021836359,"threshold_uncertainty_score":0.1588782},"labels":[],"label_agreement":null},{"id":"W4409317063","doi":"10.2196/67867","title":"Early Detection of Elevated Ketone Bodies in Type 1 Diabetes Using Insulin and Glucose Dynamics Across Age Groups: Model Development Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"","keywords":"Ketone bodies; Insulin; Type 2 diabetes; Diabetes mellitus; Dynamics (music); Internal medicine; Endocrinology; Medicine; Psychology; Metabolism","score_opus":0.02451514302882748,"score_gpt":0.3245699241440676,"score_spread":0.30005478111524014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409317063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9372377,0.0011401165,0.058168408,0.0007327086,0.00006916017,0.00021216906,0.0006648697,0.00036330437,0.0014115707],"genre_scores_gemma":[0.9866716,0.00028806028,0.010923608,0.000112476875,0.000029653373,0.00013499196,0.00093653717,0.000021475618,0.00088155235],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990219,0.00060134596,0.000036101857,0.00016980048,0.000049073245,0.00012182786],"domain_scores_gemma":[0.9917271,0.006361366,0.00046701226,0.0002950836,0.0008388786,0.00031061372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007499681,0.0012822016,0.0012382959,0.0007980258,0.00039291804,0.00096711126,0.0011295786,0.0009288666,0.001674177],"category_scores_gemma":[0.010136318,0.00037979492,0.001975489,0.00040785005,0.00033006963,0.00060608465,0.001003686,0.0016883509,0.00035599648],"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":[0.00185743,0.0008679105,0.19263405,0.00011430152,0.00091469684,0.00020987589,0.00015042945,0.7642671,0.0004498384,0.0007672154,0.0015026105,0.036264427],"study_design_scores_gemma":[0.000034090343,0.00016891345,0.0066647064,0.000014212501,0.000065576445,0.00002618955,0.00001985054,0.9925538,0.00007981776,0.000270165,0.00009543255,0.0000073559654],"about_ca_topic_score_codex":0.021273023,"about_ca_topic_score_gemma":0.007845014,"teacher_disagreement_score":0.021273023,"about_ca_system_score_codex":0.0008784362,"about_ca_system_score_gemma":0.0014797004,"threshold_uncertainty_score":0.042298377},"labels":[],"label_agreement":null},{"id":"W4409400807","doi":"10.2196/66468","title":"Neutrophil-Lymphocyte Ratio and Platelet-Lymphocyte Ratio as Novel Markers for Diabetic Kidney Disease: A Comprehensive Analysis (Preprint)","year":2024,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Inflammatory Biomarkers in Disease 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; Lymphocyte; Immunology; Platelet; Medicine; Disease; Internal medicine; Computer science; World Wide Web","score_opus":0.01194735603568847,"score_gpt":0.27438631393657315,"score_spread":0.2624389579008847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409400807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9142658,0.037557263,0.017949356,0.00231341,0.00032654233,0.0002837539,0.024066184,0.00046878858,0.0027689023],"genre_scores_gemma":[0.96735203,0.007008841,0.010646956,0.00050272373,0.0005942715,0.00014360045,0.011239638,0.00011214225,0.0023998548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894136,0.0003512526,0.000100411984,0.0002299111,0.0003022568,0.00007485292],"domain_scores_gemma":[0.99690384,0.0018151657,0.00032990865,0.00026152388,0.00055702764,0.00013259427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026749582,0.00083859527,0.0012191115,0.0023153906,0.00031783406,0.0011322534,0.00038387137,0.00035001975,0.0034343137],"category_scores_gemma":[0.0053854026,0.0002699384,0.002388853,0.0015114099,0.000250166,0.00045211366,0.0006682841,0.00056756503,0.00056605885],"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":[0.0038054332,0.00029439107,0.7556571,0.0012977534,0.012256631,0.0005785596,0.00038488256,0.002064435,0.009266259,0.0003950249,0.016363591,0.19763583],"study_design_scores_gemma":[0.00007769343,0.00044973468,0.9830368,0.00014996783,0.004792837,0.0010018409,0.00028842394,0.0024610476,0.0022445994,0.00083954213,0.0046015773,0.000055938497],"about_ca_topic_score_codex":0.0022254346,"about_ca_topic_score_gemma":0.0030951353,"teacher_disagreement_score":0.0034343137,"about_ca_system_score_codex":0.00029844945,"about_ca_system_score_gemma":0.0007204531,"threshold_uncertainty_score":0.014146686},"labels":[],"label_agreement":null},{"id":"W4409400889","doi":"10.2196/65209","title":"The Use of AI-Powered Thermography to Detect Early Plantar Thermal Abnormalities in Patients With Diabetes: Cross-Sectional Observational Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetic Foot Ulcer Assessment and Management","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; Observational study; Thermography; Medicine; Cross-sectional study; Physical medicine and rehabilitation; Internal medicine; Computer science; Pathology; Physics; Infrared; Optics","score_opus":0.031819565920998515,"score_gpt":0.2984587626809107,"score_spread":0.2666391967599122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409400889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99954575,0.00007839008,0.00006367,0.000009563191,0.0000029893524,0.00002208529,0.00009211389,0.0000010067013,0.0001844251],"genre_scores_gemma":[0.99964404,0.000047768786,0.00010177621,0.000027277705,0.0000037691495,0.000018044135,0.00010786433,6.069093e-7,0.000048818092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942183,0.00017799361,0.000092811926,0.00012141167,0.000119958044,0.00006599502],"domain_scores_gemma":[0.9981748,0.0005171331,0.000625871,0.0001266834,0.00030175192,0.00025373543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010603529,0.00023012637,0.00040483754,0.00066409784,0.00049547123,0.00061966473,0.0002757714,0.00056390505,0.0010471876],"category_scores_gemma":[0.002872229,0.0003436823,0.0005268129,0.00059735077,0.00025182345,0.0005478585,0.0003572011,0.0006838265,0.0002854458],"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":[0.00011030031,0.00015078679,0.99895144,0.000010681637,0.000028277715,0.000037817576,0.00012900651,0.000007934248,0.00010626563,0.0000031712984,0.000024471063,0.00043988513],"study_design_scores_gemma":[0.000021579253,0.00109373,0.9973182,0.000011070347,0.000043799733,0.00033992768,0.0007886257,0.00017425396,0.000063864754,0.0000100452435,0.0001295463,0.0000053446847],"about_ca_topic_score_codex":0.0017610757,"about_ca_topic_score_gemma":0.0021737807,"teacher_disagreement_score":0.0017610757,"about_ca_system_score_codex":0.00020149117,"about_ca_system_score_gemma":0.00021345116,"threshold_uncertainty_score":0.005607724},"labels":[],"label_agreement":null},{"id":"W4409574078","doi":"10.2196/75497","title":"Correction: Toward Personalized Digital Experiences to Promote Diabetes Self-Management: Mixed Methods Social Computing Approach","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Digital Mental Health Interventions","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":"U.S. National Library of Medicine; National Institute on Aging","keywords":"Computer science; Data science","score_opus":0.027456931983466732,"score_gpt":0.4007161404434183,"score_spread":0.3732592084599516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409574078","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018625661,0.0008668989,0.00096762925,0.19657795,0.79750943,0.000064098414,0.0008860246,0.0004110364,0.002530556],"genre_scores_gemma":[0.019696448,0.0072065163,0.006621815,0.42019734,0.38226977,0.001015024,0.00096439733,0.0011707682,0.16085796],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.98726755,0.0030766737,0.0024296285,0.0013545487,0.004912407,0.0009591925],"domain_scores_gemma":[0.90971804,0.029756874,0.0040441775,0.004827128,0.047703635,0.003950191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008551116,0.002200982,0.0021586295,0.0025298945,0.004597729,0.005650936,0.00424024,0.016436893,0.047164865],"category_scores_gemma":[0.16878341,0.001181027,0.0014892132,0.0023071032,0.0042656856,0.0029204716,0.0036255952,0.021001032,0.026841886],"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":[0.000038365848,0.00000857383,0.00008916109,0.00031733286,0.000017346627,0.00015028332,0.000110599445,0.000035392073,0.00003364678,0.0008724241,0.9926778,0.0056490935],"study_design_scores_gemma":[0.000120967874,0.000045403547,0.0008992288,0.0013889903,0.00008137424,0.0006083705,0.00054049364,0.0005589975,0.00044595168,0.0024271028,0.99281305,0.00007003347],"about_ca_topic_score_codex":0.02009713,"about_ca_topic_score_gemma":0.02173898,"teacher_disagreement_score":0.047164865,"about_ca_system_score_codex":0.0056153755,"about_ca_system_score_gemma":0.011132969,"threshold_uncertainty_score":0.15778214},"labels":[],"label_agreement":null},{"id":"W4409626932","doi":"10.2196/65846","title":"Agreement Between AI and Nephrologists in Addressing Common Patient Questions About Diabetic Nephropathy: Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","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; Cross-sectional study; Diabetic nephropathy; Medicine; Psychology; Diabetes mellitus; Computer science; Pathology; Endocrinology","score_opus":0.09831977531623928,"score_gpt":0.45642206532490215,"score_spread":0.3581022900086629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409626932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998142,0.00009314189,0.00029855446,0.00027975856,0.000017553311,0.000027308923,0.00014586937,0.0000040858486,0.0009916255],"genre_scores_gemma":[0.99923253,0.00004621146,0.00024527826,0.00017255804,0.000014817714,0.000028268845,0.00012163492,0.0000023370067,0.0001364224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9758009,0.016101887,0.0024559095,0.0014266855,0.0032518206,0.0009627768],"domain_scores_gemma":[0.8619634,0.09596411,0.020807171,0.0050095688,0.012986028,0.0032697157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026319856,0.0001872351,0.00036891375,0.0015025566,0.00082824216,0.0014388743,0.000623295,0.00093357475,0.0017347564],"category_scores_gemma":[0.069209106,0.00047953712,0.00066965516,0.0010725975,0.0009913694,0.0016166222,0.0015465764,0.0013877816,0.00044158407],"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":[0.000069999885,0.00012096245,0.9969688,0.000012154532,0.000058378486,0.000015670756,0.0017143459,0.000031518786,0.00004706136,0.00002309232,0.00008886261,0.00084916956],"study_design_scores_gemma":[0.000016127198,0.0004790027,0.9921009,0.000030894236,0.000047958158,0.00019578304,0.005805359,0.0006085642,0.0001478003,0.000058425412,0.000494891,0.000014185452],"about_ca_topic_score_codex":0.005268446,"about_ca_topic_score_gemma":0.005092005,"teacher_disagreement_score":0.026319856,"about_ca_system_score_codex":0.00065300695,"about_ca_system_score_gemma":0.00083232846,"threshold_uncertainty_score":0.13919437},"labels":[],"label_agreement":null},{"id":"W4409786047","doi":"10.2196/63503","title":"“Digital Clinicians” Performing Obesity Medication Self-Injection Education: Feasibility Randomized Controlled Trial","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"","keywords":"Preprint; Medicine; Physical therapy; Randomized controlled trial; Medical physics; Computer science; Internal medicine; World Wide Web","score_opus":0.02124362181315401,"score_gpt":0.42649487833469896,"score_spread":0.4052512565215449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409786047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9114898,0.002614209,0.0016646909,0.0012190748,0.0014988326,0.077483825,0.0008885885,0.00016875703,0.002972317],"genre_scores_gemma":[0.8926484,0.0019740402,0.006747097,0.0015975693,0.00089470175,0.09172465,0.00043128716,0.000016269873,0.003965971],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99623543,0.0022479764,0.00031715774,0.0005221808,0.00031084602,0.00036647017],"domain_scores_gemma":[0.99591845,0.00155245,0.000947553,0.00032061772,0.00034483444,0.0009160932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005531998,0.0017755876,0.0031630623,0.0008693252,0.0011064184,0.0014534309,0.0014378895,0.0037156527,0.0147684],"category_scores_gemma":[0.0062461705,0.0013670583,0.0016380682,0.000771366,0.0022541883,0.0020226354,0.0010646416,0.0024906194,0.0016623749],"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":[0.9500342,0.037919935,0.000855975,0.0008117219,0.00048866053,0.000042524713,0.0001040859,0.000088141824,0.00060829346,0.000101110534,0.00039035283,0.008555017],"study_design_scores_gemma":[0.91942775,0.07891452,0.0008796866,0.00004412585,0.00017821476,0.00001039414,0.000041226853,0.000109686305,0.00009029891,0.000051525756,0.00024524523,0.0000072460443],"about_ca_topic_score_codex":0.0012524872,"about_ca_topic_score_gemma":0.002408852,"teacher_disagreement_score":0.0147684,"about_ca_system_score_codex":0.0011177134,"about_ca_system_score_gemma":0.0028153146,"threshold_uncertainty_score":0.049405217},"labels":[],"label_agreement":null},{"id":"W4409793609","doi":"10.2196/68214","title":"A Nurse-Led Telemonitoring Approach in Diabetes During the COVID-19 Pandemic: Prospective Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"","keywords":"Coronavirus disease 2019 (COVID-19); Preprint; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Diabetes mellitus; Medicine; Prospective cohort study; Cohort study; Cohort; Internal medicine; Virology; Computer science; Endocrinology; World Wide Web; Disease; Outbreak","score_opus":0.015495260190518582,"score_gpt":0.317660678759662,"score_spread":0.3021654185691434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99922895,0.00007946528,0.000045849134,0.00003122212,0.000011025305,0.0000684085,0.00032347793,0.0000013438477,0.00021006516],"genre_scores_gemma":[0.99897987,0.00012794338,0.00012718498,0.00008507624,0.00001649138,0.00010301699,0.0003698822,0.000001967977,0.00018868274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900144,0.00032375637,0.00008617121,0.00024294919,0.00017226361,0.0001734484],"domain_scores_gemma":[0.9981832,0.00022699274,0.00077765225,0.00023030255,0.00020298445,0.00037888615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015693053,0.00032717793,0.00031821578,0.0004127137,0.00081860693,0.00080775644,0.00057967915,0.00058251596,0.0011469377],"category_scores_gemma":[0.0028465388,0.00047055408,0.00065627747,0.0008644933,0.0002270646,0.00067722716,0.0006890502,0.001137747,0.00028077714],"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":[0.0003480593,0.00025684593,0.99777323,0.000015703708,0.00006518989,0.000059928727,0.00023492512,0.00001325669,0.00010028835,0.000008340661,0.00014117872,0.0009830598],"study_design_scores_gemma":[0.0000521412,0.00075898285,0.9978975,0.00002322287,0.00004434236,0.00014629374,0.00073912326,0.00012448156,0.000025622307,0.000008014474,0.000171975,0.000008367037],"about_ca_topic_score_codex":0.016868709,"about_ca_topic_score_gemma":0.023646824,"teacher_disagreement_score":0.016868709,"about_ca_system_score_codex":0.00049895566,"about_ca_system_score_gemma":0.0007441626,"threshold_uncertainty_score":0.033541024},"labels":[],"label_agreement":null},{"id":"W4410219179","doi":"10.2196/69061","title":"Continuous Glucose Monitoring in Primary Care: Multidisciplinary Pilot Implementation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","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; Multidisciplinary approach; Continuous glucose monitoring; Multidisciplinary team; Primary care; Medicine; Computer science; Nursing; Political science; Family medicine; Diabetes mellitus; World Wide Web","score_opus":0.01330915356392689,"score_gpt":0.3343515206806174,"score_spread":0.32104236711669054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410219179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98658633,0.00008789435,0.0004690583,0.00034045384,0.000042019215,0.01095398,0.00025338994,0.000043331886,0.0012234681],"genre_scores_gemma":[0.9715897,0.0003518423,0.008010208,0.0012820506,0.00014706957,0.017431464,0.0005119377,0.000018332808,0.00065739563],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9883676,0.0067272787,0.00080981804,0.0011558487,0.001074993,0.001864411],"domain_scores_gemma":[0.97518086,0.005156077,0.0021388032,0.0022425475,0.0030983982,0.01218335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014248911,0.0010277305,0.00080097374,0.0013614673,0.0034245083,0.0020480275,0.0016801433,0.0020443897,0.0034330836],"category_scores_gemma":[0.015312364,0.0014528587,0.0009889441,0.000999594,0.0011267096,0.0018037037,0.0045736493,0.0023026022,0.0009828785],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_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":[0.011062828,0.40562198,0.37402844,0.0013766545,0.0004396449,0.0019223521,0.032195635,0.0008926819,0.0071787722,0.00025448212,0.0033185694,0.16170792],"study_design_scores_gemma":[0.024492046,0.20866585,0.7348316,0.00030196473,0.00028374483,0.00068638235,0.02312659,0.0016487943,0.0011904632,0.00016713548,0.0044761314,0.00012927577],"about_ca_topic_score_codex":0.009285794,"about_ca_topic_score_gemma":0.016095087,"teacher_disagreement_score":0.014248911,"about_ca_system_score_codex":0.0042257486,"about_ca_system_score_gemma":0.013623277,"threshold_uncertainty_score":0.075356305},"labels":[],"label_agreement":null},{"id":"W4410254031","doi":"10.2196/69695","title":"Use of the GTT@home Oral Glucose Tolerance Test Kit in Gestational Diabetes Mellitus: Performance Evaluation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Gestational Diabetes Research and Management","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":"Gestational diabetes; Medicine; Preprint; Diabetes mellitus; Glucose tolerance test; Test (biology); Internal medicine; Obstetrics; Pregnancy; Endocrinology; Gestation; Insulin resistance; Biology; Computer science; World Wide Web","score_opus":0.033035612457607666,"score_gpt":0.32559855725023534,"score_spread":0.2925629447926277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410254031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99863726,0.00029436513,0.00019907829,0.0000362628,0.000007492978,0.000027708944,0.00014349303,0.0000035699863,0.00065067236],"genre_scores_gemma":[0.9992518,0.000094936135,0.00020022392,0.000026576472,0.000008393298,0.000017173907,0.0002355303,0.0000039383417,0.00016156497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960905,0.0016721264,0.00047872763,0.00043831108,0.0010929594,0.00022743226],"domain_scores_gemma":[0.9870227,0.0038090798,0.005510067,0.0008704518,0.0020896879,0.00069796876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005035096,0.00039543377,0.00034150382,0.00076149777,0.00035618182,0.0008371821,0.0005550928,0.00068166887,0.0005649251],"category_scores_gemma":[0.017187258,0.00023962745,0.0005784122,0.0012781218,0.00035258292,0.0006995158,0.00059567357,0.0006507334,0.00035038913],"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":[0.00022868766,0.00006125087,0.9974137,0.000012806621,0.00004754735,0.000028120758,0.00010126278,0.00003643941,0.00006854025,0.000010691121,0.000049771636,0.0019411403],"study_design_scores_gemma":[0.000018564408,0.0010763443,0.9974921,0.000017488765,0.00010170628,0.00028982267,0.00017484138,0.00039525755,0.00012947808,0.000015553254,0.00028277648,0.000006179994],"about_ca_topic_score_codex":0.0039799423,"about_ca_topic_score_gemma":0.0029403137,"teacher_disagreement_score":0.005035096,"about_ca_system_score_codex":0.00063262176,"about_ca_system_score_gemma":0.0005003888,"threshold_uncertainty_score":0.026628494},"labels":[],"label_agreement":null},{"id":"W4410849045","doi":"10.2196/60141","title":"Estimating the Risk of Lower Extremity Complications in Adults Newly Diagnosed With Diabetic Polyneuropathy: Retrospective Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetic Foot Ulcer Assessment and Management","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 on Aging","keywords":"Medicine; Retrospective cohort study; Cohort; Amputation; Gangrene; Receiver operating characteristic; Cohort study; Polyneuropathy; Medical record; Diabetes mellitus; Physical therapy; Diabetic foot; Surgery; Emergency medicine; Internal medicine","score_opus":0.006191790129475713,"score_gpt":0.26743187831119636,"score_spread":0.2612400881817206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410849045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99757177,0.00010395355,0.0005283561,0.000029019804,0.000009189495,0.000061309795,0.001570948,0.0000073819383,0.00011811112],"genre_scores_gemma":[0.9957229,0.00011853041,0.0011603725,0.00005293844,0.000014173527,0.00008920044,0.0027125182,0.0000053323197,0.00012404977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836355,0.0003849968,0.00023430337,0.0006296398,0.00025819277,0.00012938079],"domain_scores_gemma":[0.9948185,0.0011458432,0.0014775913,0.0014229981,0.0007206598,0.00041444224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038305654,0.00043599927,0.0005335568,0.00085819094,0.0007217385,0.0006331695,0.00081264763,0.0005946128,0.0010820142],"category_scores_gemma":[0.0074045947,0.00060826755,0.0013109784,0.0009055139,0.0002768581,0.0006591471,0.00067821145,0.0012266267,0.00030587192],"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":[0.00014374888,0.000059974394,0.9988431,0.000005419405,0.000116401185,0.000028773999,0.000025192137,0.00010334707,0.00006622512,0.000011236329,0.00010586923,0.000490668],"study_design_scores_gemma":[0.00006700353,0.0005046427,0.99461985,0.000021967191,0.0002581304,0.0004303755,0.00017896581,0.0032282614,0.00018656769,0.000053675307,0.00043353616,0.000017121516],"about_ca_topic_score_codex":0.01139641,"about_ca_topic_score_gemma":0.013871317,"teacher_disagreement_score":0.01139641,"about_ca_system_score_codex":0.0005271331,"about_ca_system_score_gemma":0.0007080363,"threshold_uncertainty_score":0.022660136},"labels":[],"label_agreement":null},{"id":"W4411442266","doi":"10.2196/74032","title":"DigiBete, a Novel Chatbot to Support Transition to Adult Care of Young People/Young Adults With Type 1 Diabetes Mellitus: Outcomes From a Prospective, Multimethod, Nonrandomized Feasibility and Acceptability Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Digital Mental Health 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":"National Institute for Health and Care Research","keywords":"Chatbot; Adult care; Medicine; Type 2 Diabetes Mellitus; Diabetes mellitus; Young adult; Pediatrics; Gerontology; Computer science; Artificial intelligence; Endocrinology","score_opus":0.01887907097336876,"score_gpt":0.35827592743705156,"score_spread":0.3393968564636828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411442266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99576026,0.000103598075,0.00022356024,0.00005120496,0.000016698908,0.003318746,0.00017053432,0.000011933933,0.0003434024],"genre_scores_gemma":[0.98356944,0.0004926009,0.0026948769,0.0003397185,0.000042405947,0.011685217,0.00043298144,0.000014049845,0.0007285455],"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9946354,0.0031243223,0.00052146177,0.0003870691,0.00074261404,0.0005890802],"domain_scores_gemma":[0.9909826,0.0037930806,0.0014897397,0.00049955957,0.0017412497,0.0014936634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012838196,0.0006680485,0.00083964836,0.0010817503,0.001540485,0.001327562,0.0007781579,0.0010016303,0.002257857],"category_scores_gemma":[0.013200331,0.00057060254,0.0012949951,0.0005638059,0.0009745952,0.0015301723,0.0015809534,0.0013606878,0.00032598575],"study_design_candidate":"nonrandomized_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":[0.048055816,0.22452386,0.46615082,0.0045545576,0.0013601126,0.0010219471,0.036598958,0.0006146237,0.005454253,0.00036143858,0.0030672625,0.20823632],"study_design_scores_gemma":[0.024457136,0.37249795,0.5613664,0.0009320775,0.0011422039,0.0007510626,0.02839001,0.001451424,0.0025378305,0.00024678468,0.0060236296,0.0002035136],"about_ca_topic_score_codex":0.0052602333,"about_ca_topic_score_gemma":0.010698374,"teacher_disagreement_score":0.012838196,"about_ca_system_score_codex":0.0013321578,"about_ca_system_score_gemma":0.0034867479,"threshold_uncertainty_score":0.06789571},"labels":[],"label_agreement":null},{"id":"W4412019798","doi":"10.2196/72874","title":"Privacy-Preserving Glycemic Management in Type 1 Diabetes: Development and Validation of a Multiobjective Federated Reinforcement Learning Framework","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"","keywords":"Glycemic; Reinforcement learning; Hypoglycemia; Computer science; Diabetes management; Reinforcement; Diabetes treatment; Artificial intelligence; Machine learning; Medicine; Type 2 diabetes; Diabetes mellitus; Engineering","score_opus":0.01673917541191849,"score_gpt":0.3088159497178257,"score_spread":0.2920767743059072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412019798","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.102513775,0.0003667085,0.8930748,0.0005947098,0.000052081155,0.00016882505,0.00008353684,0.0006790037,0.0024665543],"genre_scores_gemma":[0.90259737,0.000115497234,0.09613648,0.00015162653,0.000016257232,0.0001289217,0.00005860482,0.000027187602,0.00076815207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989453,0.0005089598,0.000048144033,0.00018421872,0.0001911083,0.00012232795],"domain_scores_gemma":[0.996011,0.0026667358,0.00031340527,0.00020188089,0.000593644,0.00021327019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039939755,0.0006479717,0.00070974923,0.0003391094,0.00034262516,0.00078153657,0.0012469058,0.00088440365,0.0009240012],"category_scores_gemma":[0.006690645,0.00027412726,0.00055617397,0.00019352107,0.00082277396,0.0006327137,0.0011822742,0.0015187184,0.000120431934],"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":[0.000048850106,0.0000611135,0.00073056656,0.000017940847,0.00001687281,0.000031580752,0.000023140938,0.98779756,0.0003541874,0.0014105729,0.000118426986,0.009389279],"study_design_scores_gemma":[0.0000069451016,0.000025337902,0.00005900269,0.0000024562937,0.000002959391,0.000003978549,0.0000023820708,0.9991906,0.00017665469,0.00046994255,0.000058117304,0.000001577457],"about_ca_topic_score_codex":0.007999633,"about_ca_topic_score_gemma":0.0046332814,"teacher_disagreement_score":0.007999633,"about_ca_system_score_codex":0.0012910849,"about_ca_system_score_gemma":0.0024957648,"threshold_uncertainty_score":0.021122396},"labels":[],"label_agreement":null},{"id":"W4412587150","doi":"10.2196/72616","title":"Artificial Intelligence in Diabetic Kidney Disease Research: Bibliometric Analysis From 2006 to 2024","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Chronic Kidney Disease and Diabetes","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; Computer science; World Wide Web","score_opus":0.04888532462776628,"score_gpt":0.3829506560281897,"score_spread":0.3340653314004234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412587150","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12707978,0.66143155,0.0019421454,0.0064791613,0.00058451557,0.0009352338,0.18884034,0.00042458865,0.012282677],"genre_scores_gemma":[0.48959848,0.41455182,0.007384126,0.0013605736,0.0008531694,0.0021906209,0.08244556,0.00014458713,0.0014710675],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.96828675,0.0059164725,0.013497849,0.002355386,0.009016447,0.0009269927],"domain_scores_gemma":[0.8811803,0.061583135,0.031074552,0.0031106768,0.021263637,0.0017877319],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.019107819,0.0009786302,0.003995034,0.17756476,0.0011615128,0.006107867,0.0015786872,0.0012507162,0.003340801],"category_scores_gemma":[0.09855709,0.00061246264,0.0051456587,0.2688648,0.00091000623,0.004020553,0.0034639616,0.0010798265,0.0008615781],"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":[0.0009797678,0.00014810002,0.34397173,0.25007334,0.016057167,0.0009270674,0.004293074,0.0026590277,0.0007854645,0.0038424705,0.045709576,0.3305532],"study_design_scores_gemma":[0.00027374848,0.00039429913,0.6290139,0.11857948,0.02973751,0.0028856688,0.005698165,0.0032899573,0.0015356893,0.0033907224,0.20491105,0.0002898223],"about_ca_topic_score_codex":0.014003179,"about_ca_topic_score_gemma":0.014900658,"teacher_disagreement_score":0.82243526,"about_ca_system_score_codex":0.0053668967,"about_ca_system_score_gemma":0.012372167,"threshold_uncertainty_score":0.101053},"labels":[],"label_agreement":null},{"id":"W4412593713","doi":"10.2196/69142","title":"Toward a Clinically Actionable, Electronic Health Record–Based Machine Learning Model to Forecast 90-Day Change in Hemoglobin A1c in Youth With Type 1 Diabetes: Feasibility and Model Development Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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 Institute on Aging","keywords":"Preprint; Electronic health record; Type 2 diabetes; Health records; Medicine; Computer science; Diabetes mellitus; Artificial intelligence; World Wide Web; Political science; Health care","score_opus":0.09411531946605514,"score_gpt":0.3691362622326109,"score_spread":0.27502094276655575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412593713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7883773,0.00055040873,0.20459741,0.001998222,0.00007782387,0.00075718533,0.0009405806,0.0007891072,0.0019120532],"genre_scores_gemma":[0.93047315,0.00019989106,0.06654044,0.00030074612,0.00005255433,0.0006298339,0.0008791715,0.000022744276,0.00090142264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989115,0.0006464823,0.00006201269,0.0002028623,0.00008531016,0.00009187661],"domain_scores_gemma":[0.9923847,0.006192899,0.00029338314,0.00013787253,0.00084894034,0.00014218979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007246466,0.0010878232,0.0010045326,0.00082854007,0.00053363433,0.0014067522,0.0011029373,0.0012152368,0.001117261],"category_scores_gemma":[0.010493834,0.00051651127,0.0011773434,0.00043203615,0.00035023736,0.00080581714,0.0010632267,0.0020055368,0.00027922264],"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":[0.00044182336,0.00064360275,0.043214064,0.00005262331,0.00023254659,0.00007572303,0.00008790536,0.92295176,0.0003867718,0.00066538056,0.00086207426,0.030385692],"study_design_scores_gemma":[0.000017941387,0.000049314003,0.00058605464,0.0000040585546,0.00001198152,0.000003944249,0.0000092215905,0.99906653,0.000057672773,0.00015172438,0.000038623813,0.0000030086728],"about_ca_topic_score_codex":0.033779547,"about_ca_topic_score_gemma":0.014612504,"teacher_disagreement_score":0.033779547,"about_ca_system_score_codex":0.0016623038,"about_ca_system_score_gemma":0.003178639,"threshold_uncertainty_score":0.06716591},"labels":[],"label_agreement":null},{"id":"W4412723132","doi":"10.2196/76387","title":"The Role of Community Health Workers in Improving Diabetes Device Use Among Youth With Type 1 Diabetes: A Web-Based Qualitative Study Using Human-Centered Design With Clinicians","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Qualitative research; Health care; Nursing; Intervention (counseling); Medical education; Gerontology; Family medicine","score_opus":0.10631350653528364,"score_gpt":0.4090810887138603,"score_spread":0.30276758217857663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412723132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98832196,0.0010571158,0.0030637956,0.0028899128,0.00011035646,0.0012982842,0.0001716099,0.000029145971,0.003057825],"genre_scores_gemma":[0.9908179,0.00086997147,0.0035971317,0.0016132654,0.000027579454,0.001537177,0.00006625735,0.00002582618,0.0014448581],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9851061,0.011779554,0.00037954486,0.00069642375,0.00060251495,0.0014357634],"domain_scores_gemma":[0.97364616,0.01970114,0.0012694785,0.00057194044,0.0020269353,0.002784442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021767486,0.00058721635,0.0008472997,0.0016116688,0.009068577,0.003679507,0.0018260272,0.0020200086,0.0029066494],"category_scores_gemma":[0.022743003,0.00074811705,0.0007424053,0.0012860505,0.0048057004,0.002428004,0.0052588065,0.002836379,0.00023450535],"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":[0.000078751335,0.0006070987,0.009638947,0.00053335994,0.000015394571,0.0006934765,0.9698654,0.000073264026,0.0008936986,0.00053416984,0.0007258083,0.016340734],"study_design_scores_gemma":[0.000042881613,0.0003377614,0.004077321,0.00051475083,0.000018511362,0.00016045576,0.9878648,0.00019277568,0.00046708318,0.00025292492,0.0060486435,0.000022025344],"about_ca_topic_score_codex":0.009526012,"about_ca_topic_score_gemma":0.014772777,"teacher_disagreement_score":0.021767486,"about_ca_system_score_codex":0.0053153527,"about_ca_system_score_gemma":0.0112457955,"threshold_uncertainty_score":0.1151188},"labels":[],"label_agreement":null},{"id":"W4412869068","doi":"10.2196/70816","title":"Physicians’ Experiences Using Secure Messaging for Diabetes Management: A Qualitative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"","keywords":"Preprint; Medicine; Computer science; Family medicine; Internet privacy; World Wide Web","score_opus":0.05500774756020027,"score_gpt":0.5129231196715835,"score_spread":0.4579153721113833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412869068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910487,0.000975166,0.001181416,0.0030987845,0.00006520078,0.00015582565,0.00015296247,0.000016437472,0.0033053716],"genre_scores_gemma":[0.9947463,0.0010286069,0.0008104211,0.0015882398,0.000033631146,0.00020880492,0.00006456014,0.000017857841,0.0015014935],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9874243,0.009013238,0.00039764686,0.00068539934,0.00080146285,0.0016778888],"domain_scores_gemma":[0.9639747,0.02759879,0.0024894304,0.00047877902,0.0019928,0.0034654865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013052215,0.0005765065,0.00082237733,0.0014727581,0.009804343,0.0038006972,0.0015648745,0.0025556814,0.0035617372],"category_scores_gemma":[0.02621784,0.00091033184,0.00042310095,0.0016953376,0.0065736873,0.0035866841,0.004674897,0.0032375262,0.0004486155],"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":[0.000030383248,0.000038547507,0.0022056894,0.00010500005,0.0000031654063,0.0007437301,0.9943198,0.000016018314,0.00045953115,0.00022655842,0.0002998908,0.0015516656],"study_design_scores_gemma":[0.000006054119,0.00006262918,0.0017079342,0.00014595505,0.0000035889138,0.0002731375,0.9939878,0.000044915214,0.0001406022,0.00008435131,0.0035333405,0.000009729738],"about_ca_topic_score_codex":0.009456189,"about_ca_topic_score_gemma":0.015840953,"teacher_disagreement_score":0.013052215,"about_ca_system_score_codex":0.005386332,"about_ca_system_score_gemma":0.0053380253,"threshold_uncertainty_score":0.06902748},"labels":[],"label_agreement":null},{"id":"W4413141423","doi":"10.2196/69176","title":"Exploring Desired Features of Mobile Health Apps for Patients With Diabetes to Enhance Engagement and Self-Management: Qualitative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Health and Medical Research Fund","keywords":"Mobile apps; Self-management; Qualitative research; Diabetes mellitus; Psychology; Internet privacy; Medicine; Computer science; World Wide Web; Sociology; Artificial intelligence","score_opus":0.06049222608665434,"score_gpt":0.44789596423372996,"score_spread":0.3874037381470756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413141423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893021,0.0010204273,0.0028964807,0.002210532,0.00008039271,0.0007297362,0.00038718534,0.000018483324,0.0033545988],"genre_scores_gemma":[0.99188167,0.0011607849,0.0022899678,0.0014212736,0.000023464625,0.00102521,0.00012705295,0.0000176489,0.0020530322],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9945063,0.0039452757,0.00019581427,0.000312435,0.00033969106,0.00070047856],"domain_scores_gemma":[0.9870073,0.010089939,0.00068797305,0.00025338278,0.0010112699,0.000950045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009379179,0.00046661872,0.0006641134,0.0009964581,0.0044337357,0.0021477463,0.0013252237,0.00096293207,0.002794204],"category_scores_gemma":[0.014071589,0.00047528037,0.0006056302,0.0011596803,0.0033800195,0.0023537255,0.0034010217,0.0016967036,0.00029640156],"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":[0.00007563354,0.00012166998,0.006565748,0.0005632131,0.000011651784,0.0009336869,0.97998613,0.000050526476,0.0008831354,0.0006854829,0.000942406,0.00918069],"study_design_scores_gemma":[0.000012683746,0.000109306275,0.0024937687,0.00035390566,0.00001023258,0.0002636899,0.98910517,0.00012764703,0.0003101313,0.0001962938,0.0070014074,0.000015682723],"about_ca_topic_score_codex":0.005429765,"about_ca_topic_score_gemma":0.01036058,"teacher_disagreement_score":0.009379179,"about_ca_system_score_codex":0.003435429,"about_ca_system_score_gemma":0.0045721214,"threshold_uncertainty_score":0.04960245},"labels":[],"label_agreement":null},{"id":"W4413262617","doi":"10.2196/78001","title":"Trends in Mortality From Co-Occurring Diabetes Mellitus and Pneumonia in the United States (1999-2022): Retrospective Analysis of the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) Database","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","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; Diabetes mellitus; Epidemiology; Pneumonia; Death certificate; Demography; Population; Mortality rate; Community-acquired pneumonia; Disease control; Internal medicine; Disease; Gerontology; Cause of death; Environmental health; Endocrinology","score_opus":0.07575032813481233,"score_gpt":0.4229141669418219,"score_spread":0.3471638388070095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413262617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9302541,0.0021384475,0.00057946186,0.0001409053,0.0000359671,0.000103119484,0.065219596,0.000039973416,0.0014884545],"genre_scores_gemma":[0.9472443,0.0011772454,0.0004948019,0.000099349694,0.000035665442,0.00016597973,0.05049182,0.000012278999,0.00027860282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998362,0.00029505847,0.00038253385,0.00036080903,0.0004642373,0.00013537779],"domain_scores_gemma":[0.9964245,0.00038263894,0.0018578323,0.0002788849,0.0007761156,0.0002799246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023467143,0.0002895799,0.0004837006,0.002704674,0.00032602024,0.0007701284,0.0005062215,0.00031298082,0.00069022964],"category_scores_gemma":[0.0032979664,0.00032383204,0.0007430565,0.0040767808,0.00017354033,0.0007497357,0.00079268456,0.00064737763,0.00028431645],"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":[0.000065811364,0.00001762187,0.9980854,0.00003381833,0.00012953226,0.000020872834,0.000026721085,0.00005915794,0.00004361563,0.000012567699,0.0006759462,0.00082903326],"study_design_scores_gemma":[0.0000064509636,0.000025556696,0.9989435,0.00002309811,0.00006266807,0.00010351114,0.00010738848,0.0002159634,0.000048004753,0.000009059776,0.00045052057,0.000004236168],"about_ca_topic_score_codex":0.015713692,"about_ca_topic_score_gemma":0.021428255,"teacher_disagreement_score":0.015713692,"about_ca_system_score_codex":0.00063454534,"about_ca_system_score_gemma":0.0006767861,"threshold_uncertainty_score":0.031244457},"labels":[],"label_agreement":null},{"id":"W4413274670","doi":"10.2196/68948","title":"Managing Exercise-Related Glycemic Events in Type 1 Diabetes: Development and Validation of Predictive Models for a Practical Decision Support Tool","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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; Glycemic; Type 2 diabetes; Medicine; Continuous glucose monitoring; Diabetes mellitus; Computer science; Endocrinology; World Wide Web","score_opus":0.023996166984687976,"score_gpt":0.33519470980925864,"score_spread":0.31119854282457066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413274670","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47517574,0.0006849278,0.5160807,0.0014516435,0.00013067845,0.0008694304,0.0015638559,0.002413611,0.0016293623],"genre_scores_gemma":[0.7973099,0.00021366334,0.19989207,0.0002114885,0.00004115769,0.00063218514,0.0013251833,0.000063464344,0.00031085237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967986,0.0019912424,0.00026716085,0.00046035193,0.0003360555,0.0001466542],"domain_scores_gemma":[0.9695999,0.02594997,0.0010292539,0.00076505245,0.0023085538,0.00034719324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012463455,0.0016840853,0.00095621555,0.0013032213,0.00049368123,0.0018014634,0.001619527,0.0013497493,0.0011888915],"category_scores_gemma":[0.043312952,0.0006411282,0.0011425524,0.0007733414,0.0004711681,0.0011852132,0.0013198823,0.0020274809,0.00036951673],"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":[0.00051001157,0.0007175704,0.043034278,0.00019290432,0.00033770278,0.00014629231,0.00018521729,0.87720555,0.0012159148,0.0011148491,0.001289382,0.074050374],"study_design_scores_gemma":[0.00001620137,0.000071319344,0.0014633758,0.000031585143,0.000023995093,0.000010686986,0.000023326189,0.99721706,0.00038409047,0.0006167347,0.00013296268,0.000008605647],"about_ca_topic_score_codex":0.013403829,"about_ca_topic_score_gemma":0.008012289,"teacher_disagreement_score":0.013403829,"about_ca_system_score_codex":0.0014259842,"about_ca_system_score_gemma":0.0024284106,"threshold_uncertainty_score":0.0659138},"labels":[],"label_agreement":null},{"id":"W4413347119","doi":"10.2196/65359","title":"Insulin Injection Technique Education and Associated Knowledge Factors Among Physicians: Cross-Sectional Survey Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"","keywords":"Preprint; Insulin; Cross-sectional study; Medicine; Medical education; Psychology; Computer science; Endocrinology","score_opus":0.023935491392062927,"score_gpt":0.3683255139888799,"score_spread":0.344390022596817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413347119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991547,0.00014326334,0.000043449934,0.00008153493,0.0000031091513,0.000028179973,0.00020816819,0.000001378043,0.00033614816],"genre_scores_gemma":[0.9991216,0.00023014982,0.00014194069,0.0001440319,0.0000072625294,0.00003857956,0.00016372305,9.420662e-7,0.0001518626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899274,0.00021690766,0.0001637494,0.000144895,0.00030659238,0.00017513013],"domain_scores_gemma":[0.99692243,0.0008192802,0.0012938657,0.00009986779,0.00041046855,0.00045413134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014491176,0.00016624742,0.00044780903,0.0009137875,0.00054474676,0.00067928626,0.00029549783,0.00061192,0.0024053117],"category_scores_gemma":[0.0031952779,0.00047785588,0.0003756464,0.0016235667,0.00027202102,0.0007855432,0.0004687946,0.0007297314,0.00046794832],"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":[0.000026046599,0.00021673055,0.99748045,0.000046514677,0.000018489665,0.00007854043,0.0007270636,0.000013295843,0.00009721868,0.000008870973,0.00013674487,0.0011501288],"study_design_scores_gemma":[0.000008170301,0.00031772174,0.99611866,0.000031468466,0.00001786458,0.0002913658,0.0027429285,0.00014481944,0.000042335636,0.000009716575,0.00026918342,0.0000056957283],"about_ca_topic_score_codex":0.0042276573,"about_ca_topic_score_gemma":0.0058088214,"teacher_disagreement_score":0.0042276573,"about_ca_system_score_codex":0.0004801274,"about_ca_system_score_gemma":0.0006174392,"threshold_uncertainty_score":0.008406103},"labels":[],"label_agreement":null},{"id":"W4413420895","doi":"10.2196/68694","title":"A Novel Mobile Health App to Educate and Empower Young Adults With Type 1 Diabetes to Exercise Safely: Prospective Single-Arm Pre-Post Noninferiority Clinical Trial","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Hypoglycemia; Medicine; mHealth; Rate ratio; Physical therapy; Type 1 diabetes; Repeated measures design; Likert scale; Type 2 diabetes; Diabetes mellitus; Confidence interval; Psychology; Internal medicine; Psychological intervention; Developmental psychology; Nursing","score_opus":0.03049084660850221,"score_gpt":0.4347867781661894,"score_spread":0.40429593155768717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413420895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96735585,0.00093514775,0.0011232116,0.00035235024,0.0004999055,0.026976986,0.0009992967,0.00010857224,0.0016487327],"genre_scores_gemma":[0.9231455,0.0016171765,0.004579455,0.0009356136,0.00069486396,0.0644819,0.0008112476,0.00003260552,0.003701692],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.997375,0.0012678421,0.00021865824,0.00035250263,0.0003232222,0.00046276487],"domain_scores_gemma":[0.9972867,0.00095275795,0.00054431957,0.00022003175,0.00036016322,0.00063602603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005373674,0.0022033583,0.002699001,0.0008098755,0.0009758338,0.0020627219,0.0013390254,0.0029268155,0.0087407725],"category_scores_gemma":[0.005636935,0.0010496231,0.0020913023,0.0005270073,0.0014865197,0.0020925554,0.0012484037,0.0032683825,0.0018635642],"study_design_candidate":"nonrandomized_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":[0.8045505,0.15596175,0.0017978135,0.001683223,0.0009426855,0.00007530617,0.0004519816,0.00028164202,0.0030397123,0.000110172645,0.00082818983,0.030277133],"study_design_scores_gemma":[0.37075627,0.6216154,0.005115163,0.0000876272,0.00048824213,0.000026602273,0.00020065164,0.00023800356,0.0005817116,0.00009096072,0.00077072385,0.000028553195],"about_ca_topic_score_codex":0.0012273139,"about_ca_topic_score_gemma":0.0020634602,"teacher_disagreement_score":0.0087407725,"about_ca_system_score_codex":0.0009086321,"about_ca_system_score_gemma":0.0016819887,"threshold_uncertainty_score":0.029240847},"labels":[],"label_agreement":null},{"id":"W4413566282","doi":"10.2196/63894","title":"Assessing the Clinical Feasibility of the DiaFocus System for Integrated Personalized Management of Type 2 Diabetes: 6-Month Pilot Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Danmarks Tekniske Universitet; European Commission; Steno Diabetes Center Copenhagen","keywords":"Medicine; mHealth; Type 2 diabetes; Diabetes management; Diabetes mellitus; Competence (human resources); Physical therapy; Family medicine; Nursing; Psychological intervention; Psychology","score_opus":0.12044529359532521,"score_gpt":0.5106745275438624,"score_spread":0.39022923394853726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413566282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99678135,0.000059212583,0.0003180802,0.000066984445,0.00003224291,0.0019987803,0.0003089659,0.00001997791,0.00041442696],"genre_scores_gemma":[0.9915319,0.00011821368,0.002289155,0.00024317298,0.000070244176,0.0042506186,0.0006973234,0.000020683878,0.00077870797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99464595,0.0028233293,0.00044197773,0.00062640413,0.0008401629,0.00062212604],"domain_scores_gemma":[0.9892456,0.002686222,0.0015880725,0.0014151994,0.0028636383,0.0022011502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016683804,0.0010584173,0.0012101779,0.00065844454,0.001960939,0.0013803357,0.0007600601,0.001316438,0.0022348918],"category_scores_gemma":[0.017420786,0.00076517666,0.0016764387,0.00039141663,0.00070369645,0.0015007413,0.0014004603,0.001997879,0.0010950264],"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":[0.041727215,0.10201961,0.7971492,0.00042787282,0.0010408851,0.0005649163,0.007842255,0.0003979011,0.004171164,0.00008763891,0.0028561968,0.041715167],"study_design_scores_gemma":[0.006938684,0.22362128,0.7606634,0.00008334373,0.0006802203,0.0002859202,0.002931905,0.0013043147,0.001173997,0.00006568299,0.0021380174,0.00011329483],"about_ca_topic_score_codex":0.00506196,"about_ca_topic_score_gemma":0.005271253,"teacher_disagreement_score":0.016683804,"about_ca_system_score_codex":0.0008410645,"about_ca_system_score_gemma":0.0016701714,"threshold_uncertainty_score":0.08823341},"labels":[],"label_agreement":null},{"id":"W4413869139","doi":"10.2196/73381","title":"Experience of Using Wearable Devices for Dietary Management for Chinese Americans With Type 2 Diabetes: One-Group Prospective Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health","keywords":"Preprint; Wearable computer; Wearable technology; Cohort; Type 2 diabetes; Medicine; Prospective cohort study; Cohort study; Gerontology; Diabetes mellitus; Computer science; Internal medicine; World Wide Web; Embedded system; Endocrinology","score_opus":0.03983616662966621,"score_gpt":0.4342682949556445,"score_spread":0.3944321283259783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413869139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995327,0.000075537224,0.000026583031,0.00005628642,0.0000040163277,0.000033901655,0.00007548502,0.0000011495149,0.00019426955],"genre_scores_gemma":[0.9989831,0.00017912732,0.00010570407,0.00013731026,0.000006309143,0.00007529537,0.00015956668,0.0000019022505,0.00035170553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992767,0.00014699876,0.00006915484,0.00012740649,0.00015141917,0.00022825682],"domain_scores_gemma":[0.99832565,0.00024480364,0.00048690423,0.000108576576,0.0003118769,0.0005221252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001546474,0.0005164955,0.0006273937,0.0009484767,0.0033524018,0.0013074129,0.000506739,0.00081840844,0.0019347729],"category_scores_gemma":[0.002561631,0.0005537397,0.0010499972,0.001034686,0.000653307,0.0010910186,0.0014488562,0.0013101746,0.00027608682],"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":[0.000143121,0.00054567656,0.96830934,0.00007643814,0.000076789285,0.0004190384,0.026002565,0.000013387711,0.00035391943,0.000029844443,0.00028113814,0.0037487873],"study_design_scores_gemma":[0.000024129797,0.0006862736,0.9560192,0.000051164203,0.00008094098,0.0002903458,0.04202172,0.00009231232,0.000088696004,0.000025266163,0.0005834625,0.000036462436],"about_ca_topic_score_codex":0.04249212,"about_ca_topic_score_gemma":0.050598584,"teacher_disagreement_score":0.04249212,"about_ca_system_score_codex":0.0011692663,"about_ca_system_score_gemma":0.0017984838,"threshold_uncertainty_score":0.084489584},"labels":[],"label_agreement":null},{"id":"W4413934521","doi":"10.2196/68821","title":"Coefficient of Variation to Assess the Reproducibility of Meal-Induced Glycemic Responses: Development of a Clustering Algorithm","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"","keywords":"Reproducibility; Preprint; Coefficient of variation; Meal; Variation (astronomy); Statistics; Medicine; Mathematics; Internal medicine; Computer science; Physics","score_opus":0.05405268061170907,"score_gpt":0.3623779629185224,"score_spread":0.30832528230681333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413934521","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020713769,0.000528421,0.9756758,0.00017178927,0.000093381146,0.0005123943,0.00040836012,0.00103906,0.00085701613],"genre_scores_gemma":[0.18296723,0.00025231863,0.8136441,0.00010639075,0.0000720171,0.000960999,0.0011794771,0.0002559423,0.00056153693],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98380464,0.0062046708,0.0018304014,0.003272608,0.004460698,0.00042698058],"domain_scores_gemma":[0.9622328,0.023540108,0.002680055,0.0026122902,0.008552963,0.00038179345],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.019453326,0.0017446083,0.002218997,0.006953367,0.001328901,0.002426615,0.003403353,0.002269565,0.0009599279],"category_scores_gemma":[0.06590985,0.0007081075,0.0032632123,0.004852158,0.0009947418,0.0014515546,0.0019906245,0.0028831954,0.0007015403],"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":[0.00048447144,0.0005275211,0.07455428,0.000620976,0.0030300266,0.00032044124,0.00084550877,0.4297218,0.008574015,0.013220745,0.009609237,0.458491],"study_design_scores_gemma":[0.00003900099,0.00015401084,0.011778357,0.00008995906,0.00014606644,0.00020158246,0.000113665345,0.97511,0.0022050494,0.0072427155,0.0028399786,0.0000796345],"about_ca_topic_score_codex":0.00818251,"about_ca_topic_score_gemma":0.004752655,"teacher_disagreement_score":0.98054665,"about_ca_system_score_codex":0.0016366014,"about_ca_system_score_gemma":0.0029423316,"threshold_uncertainty_score":0.1028803},"labels":[],"label_agreement":null},{"id":"W4413953157","doi":"10.2196/76986","title":"Natural Language AI Models and Pediatric Type 1 Diabetes: Can Chatbots Help With Diabetes Self-Management and Patient Education?","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":"Montreal Children's Hospital; University of Toronto; McGill University Health Centre","funders":"","keywords":"Preprint; Natural (archaeology); Computer science; Artificial intelligence; Psychology; Medical education; Medicine; World Wide Web; Geography","score_opus":0.004475897851181842,"score_gpt":0.2623500737538364,"score_spread":0.25787417590265455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413953157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82912105,0.014174195,0.06827604,0.032849856,0.00046633356,0.00035627058,0.0015214604,0.0018636318,0.05137126],"genre_scores_gemma":[0.9657093,0.0031854168,0.026414458,0.0010601756,0.00009181107,0.00015326182,0.00049697486,0.000043366657,0.0028452352],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983034,0.0012814152,0.000062189385,0.00012381561,0.00015207128,0.00007701035],"domain_scores_gemma":[0.96215034,0.03523559,0.0010305544,0.00037627478,0.00075075927,0.00045641323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004317737,0.00043896417,0.00027343788,0.0007091762,0.0005352487,0.0026812842,0.0007704947,0.0009291755,0.0054288018],"category_scores_gemma":[0.02161368,0.00015961562,0.00034333978,0.00059293595,0.0008229276,0.0028469558,0.001138987,0.0010783055,0.0006576236],"study_design_candidate":"theoretical_or_conceptual","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":[0.003490389,0.003861685,0.20327273,0.004295498,0.00042771155,0.0019034918,0.017533246,0.03973125,0.0066052414,0.039926946,0.031823475,0.64712834],"study_design_scores_gemma":[0.0004136184,0.0024540771,0.0658451,0.0039751255,0.00093734043,0.002564552,0.026360089,0.72305596,0.010060353,0.0959587,0.06808445,0.00029063204],"about_ca_topic_score_codex":0.0066222274,"about_ca_topic_score_gemma":0.00840054,"teacher_disagreement_score":0.0066222274,"about_ca_system_score_codex":0.0010670414,"about_ca_system_score_gemma":0.0011331982,"threshold_uncertainty_score":0.022834599},"labels":[],"label_agreement":null},{"id":"W4415183135","doi":"10.2196/76454","title":"GraphRAG-Enabled Local Large Language Model for Gestational Diabetes Mellitus: Development of a Proof-of-Concept","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Gestational Diabetes Research 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":"Zayed University","keywords":"Gestational diabetes; Schema (genetic algorithms); Health care; Local language; Architecture; Diabetes mellitus; Public health; Medical care; Diabetes management","score_opus":0.013598460296432805,"score_gpt":0.30575130253322197,"score_spread":0.29215284223678917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415183135","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19096436,0.0013626226,0.74633574,0.0019751978,0.00050292397,0.0039179097,0.0036313238,0.040744357,0.010565533],"genre_scores_gemma":[0.33105317,0.000641738,0.65490824,0.0007415167,0.00004782298,0.0018536502,0.0042532473,0.0009042822,0.0055963676],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988838,0.00051256333,0.000060275186,0.00017167626,0.0002992894,0.00007245898],"domain_scores_gemma":[0.9970681,0.0019821548,0.00013261386,0.00027244142,0.00039997863,0.00014467612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029997604,0.00066512043,0.00039323373,0.0004039482,0.00024140444,0.0009590517,0.001721859,0.0011271487,0.00716349],"category_scores_gemma":[0.007532907,0.00020774262,0.00074815593,0.00018734368,0.00044321403,0.0012281465,0.0013885464,0.0009356166,0.0018606042],"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":[0.0037487221,0.002827611,0.008236323,0.0047598495,0.00045968557,0.0033902768,0.0025495477,0.092501774,0.161848,0.023470994,0.04420686,0.6520003],"study_design_scores_gemma":[0.001906165,0.005766678,0.0036899662,0.00045761093,0.00050561526,0.0016511902,0.00084435084,0.6720544,0.16204427,0.012025604,0.13883874,0.00021546074],"about_ca_topic_score_codex":0.0022772516,"about_ca_topic_score_gemma":0.0016278195,"teacher_disagreement_score":0.00716349,"about_ca_system_score_codex":0.00046547587,"about_ca_system_score_gemma":0.0014131012,"threshold_uncertainty_score":0.023964286},"labels":[],"label_agreement":null},{"id":"W4415354408","doi":"10.2196/73485","title":"Revolutionizing Hypoglycemia Management in Long-Term Care: Lessons Learned From a Pilot Quality Improvement Initiative Using Continuous Glucose Monitoring","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":"Extendicare (Canada); Integrity Testing Laboratory (Canada); St Joseph's Health Care; CARE Canada","funders":"","keywords":"Fingerstick; Hypoglycemia; Workload; Continuous glucose monitoring; Quality management; Glycemic; Blood Glucose Self-Monitoring; Blood glucose monitoring; Diabetes management","score_opus":0.0958995528140012,"score_gpt":0.3995077057826894,"score_spread":0.3036081529686882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415354408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8617476,0.0055465098,0.014585038,0.10388993,0.001980294,0.0028871314,0.00020922288,0.00063901115,0.008515361],"genre_scores_gemma":[0.9330689,0.003726149,0.046756584,0.012950189,0.00082070084,0.0013443502,0.00028029713,0.000077442244,0.00097549957],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9881864,0.007799087,0.00049896754,0.0004818169,0.0013976673,0.0016359488],"domain_scores_gemma":[0.9798663,0.006876618,0.0012672575,0.0011223506,0.0035249793,0.007342527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025605023,0.0007196441,0.00030187776,0.0003327584,0.0019662844,0.002508745,0.0026241378,0.0017956141,0.0011689429],"category_scores_gemma":[0.023986481,0.00023154951,0.0009589201,0.00039909992,0.0017804616,0.0020959727,0.00482771,0.0038677666,0.00015079815],"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":[0.001736566,0.021465447,0.05539348,0.0022417533,0.00017015297,0.0017388986,0.0189877,0.0018295051,0.004627582,0.0021806222,0.018817943,0.87081033],"study_design_scores_gemma":[0.011154416,0.18086952,0.4854917,0.012633267,0.0010711056,0.004041911,0.11009019,0.015922029,0.021008676,0.009573254,0.14737064,0.00077333365],"about_ca_topic_score_codex":0.010418215,"about_ca_topic_score_gemma":0.018953696,"teacher_disagreement_score":0.025605023,"about_ca_system_score_codex":0.0028150855,"about_ca_system_score_gemma":0.017292492,"threshold_uncertainty_score":0.13541394},"labels":[],"label_agreement":null},{"id":"W4415820928","doi":"10.2196/75903","title":"An Innovative Insulin Dose Self-Titration Toolkit for Adults Living With Type 2 Diabetes Mellitus","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","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":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Type 2 Diabetes Mellitus; Insulin; Diabetes mellitus; Action (physics); Type 2 diabetes; Action plan","score_opus":0.010140640608386717,"score_gpt":0.29889125473176753,"score_spread":0.2887506141233808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415820928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65269285,0.004006289,0.122958794,0.05336917,0.0033588195,0.016288735,0.004583018,0.01763116,0.1251112],"genre_scores_gemma":[0.5179545,0.0033282982,0.42282227,0.014292039,0.00047700614,0.014574605,0.002254133,0.0005295483,0.02376766],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99804723,0.001189579,0.00018397308,0.00013888156,0.00027507808,0.00016526696],"domain_scores_gemma":[0.9963666,0.0015653331,0.00024966395,0.00015706586,0.00027614753,0.0013850993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030214665,0.00043533833,0.00041879708,0.0004271057,0.0009389512,0.0006302017,0.0010533399,0.00096570473,0.011046356],"category_scores_gemma":[0.009748073,0.00031011988,0.0008072093,0.00022023456,0.0003187827,0.0011817636,0.0034226845,0.0017692997,0.0021022812],"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":[0.0013221169,0.012844044,0.014136082,0.0034838778,0.00012994422,0.0015964514,0.012233888,0.0010949566,0.0045605404,0.0015740376,0.14854157,0.7984824],"study_design_scores_gemma":[0.013082857,0.014332488,0.10962271,0.0093478495,0.0010652564,0.0062619736,0.02241307,0.019581955,0.009567566,0.015016293,0.77853644,0.0011714541],"about_ca_topic_score_codex":0.0017788952,"about_ca_topic_score_gemma":0.0062391274,"teacher_disagreement_score":0.011046356,"about_ca_system_score_codex":0.0006459896,"about_ca_system_score_gemma":0.0038054793,"threshold_uncertainty_score":0.036953747},"labels":[],"label_agreement":null},{"id":"W4415823262","doi":"10.2196/77772","title":"Prevalence and Risk Factors of Metabolic Dysfunction–Associated Steatotic Liver Disease in Patients With Type 2 Diabetes Mellitus at a Tertiary Center in Saudi Arabia: Cross-Sectional Questionnaire Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Liver Disease 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":"Type 2 Diabetes Mellitus; Diabetes mellitus; Disease; Type 2 diabetes; Risk factor; Aspirin; Metabolic syndrome; Fatty liver","score_opus":0.006215955216094444,"score_gpt":0.24104276303900143,"score_spread":0.234826807822907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415823262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99951637,0.0001076006,0.000025575011,0.000038452883,0.0000023888883,0.000009859133,0.0001615156,0.0000011128366,0.00013716087],"genre_scores_gemma":[0.99951243,0.00012454741,0.00007714297,0.000052734023,0.000005168553,0.000010505235,0.00015176706,4.3129495e-7,0.00006531655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996791,0.00007342741,0.00006701817,0.00004931883,0.00007616043,0.0000550109],"domain_scores_gemma":[0.999172,0.00010564575,0.00041358746,0.000030576768,0.00012108996,0.0001571768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005577174,0.00023975133,0.00030691273,0.00077138987,0.00041328694,0.0004349992,0.00027788916,0.00036062597,0.0010602645],"category_scores_gemma":[0.0010234232,0.00025817793,0.00029873356,0.0009476886,0.00016045675,0.00040742688,0.00031550066,0.00034397308,0.0001657923],"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":[0.000012116391,0.000030428548,0.9993299,0.000009579581,0.000011784053,0.00004050728,0.00011993363,0.000006337661,0.0000734229,0.0000022492725,0.000040854462,0.0003228144],"study_design_scores_gemma":[0.0000030243202,0.00007668544,0.99881434,0.0000098999035,0.000011518882,0.00025054594,0.0006502182,0.00007465997,0.000023394878,0.0000030250644,0.00008018911,0.0000025027011],"about_ca_topic_score_codex":0.0077821864,"about_ca_topic_score_gemma":0.010465314,"teacher_disagreement_score":0.0077821864,"about_ca_system_score_codex":0.0003899957,"about_ca_system_score_gemma":0.00033881515,"threshold_uncertainty_score":0.015473783},"labels":[],"label_agreement":null},{"id":"W4416379628","doi":"10.2196/83768","title":"Digital Bioimpedance for Physical Activity Detection in Type-2 Diabetes: Quasi-Experimental Validation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Physical Activity and Health","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; Activity monitor; Glycemic; Biomarker; Diabetes mellitus; Continuous glucose monitoring; Remote patient monitoring","score_opus":0.029648444399275643,"score_gpt":0.36860959767364176,"score_spread":0.3389611532743661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416379628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98944104,0.00007731331,0.002265137,0.00006996929,0.00005295312,0.0075313407,0.00016307694,0.000016167525,0.00038298217],"genre_scores_gemma":[0.9513584,0.00017668423,0.016719125,0.0005154198,0.00015115904,0.029569691,0.0004818636,0.000011931129,0.0010157328],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.98878807,0.008070091,0.0005594041,0.0010867356,0.00092870975,0.0005669195],"domain_scores_gemma":[0.98719317,0.0054622088,0.0022423004,0.0025496415,0.0015639531,0.0009886302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01939599,0.0014563557,0.0013000991,0.0005214715,0.0019113509,0.000814962,0.0011503526,0.0010814102,0.0024084763],"category_scores_gemma":[0.012458585,0.001080022,0.0013686651,0.0004431443,0.0019809136,0.0010020516,0.0009328506,0.0013070026,0.0005906482],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_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":[0.076185785,0.7128584,0.13689382,0.0013347158,0.0011375749,0.00029075865,0.0071125026,0.0012156406,0.0125198,0.0007723689,0.0015409072,0.048137736],"study_design_scores_gemma":[0.052812804,0.71861935,0.2134011,0.0001554152,0.0007781929,0.00016358528,0.002378822,0.0047818893,0.0031144533,0.0007180859,0.0029535126,0.00012283408],"about_ca_topic_score_codex":0.0035768645,"about_ca_topic_score_gemma":0.005103456,"teacher_disagreement_score":0.01939599,"about_ca_system_score_codex":0.0012117415,"about_ca_system_score_gemma":0.0030715198,"threshold_uncertainty_score":0.10257703},"labels":[],"label_agreement":null},{"id":"W4416792317","doi":"10.2196/72769","title":"Toward a Personalized Basal Tuner for Detecting Basal Rate Inaccuracies in Type 1 Diabetes Mellitus Without Meal Data: Algorithm Development and Retrospective Validation Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"Engineering and Physical Sciences Research Council","keywords":"Type 1 diabetes; Clinical Practice; Tuner; Basal (medicine); Retrospective cohort study; Diabetes mellitus; Basal insulin","score_opus":0.05890452358289336,"score_gpt":0.3578626325833091,"score_spread":0.29895810900041575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416792317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5468576,0.0023811073,0.44070318,0.00050559366,0.00020567834,0.0008813548,0.0025345865,0.004456286,0.0014745981],"genre_scores_gemma":[0.7373582,0.00043454932,0.2546272,0.0003138753,0.000073355586,0.00063869613,0.005717627,0.00015192572,0.0006846017],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967225,0.0013606531,0.00030305353,0.000959046,0.00050717033,0.00014752123],"domain_scores_gemma":[0.99237216,0.0040616766,0.0007747341,0.0010167952,0.0015583531,0.00021630854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0123160025,0.0010136415,0.0013326342,0.0014368746,0.00038666895,0.0016490757,0.0017534047,0.0011561997,0.00084431324],"category_scores_gemma":[0.01873943,0.000367199,0.0010258338,0.0007436299,0.00034027215,0.0006815802,0.001027684,0.0013798678,0.00056727056],"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":[0.0032618672,0.001264745,0.40925804,0.00038311447,0.0015647633,0.00038830758,0.00024803006,0.09480574,0.008731923,0.000936368,0.007812893,0.47134432],"study_design_scores_gemma":[0.0002851304,0.00080850493,0.048266597,0.00010807364,0.0003799814,0.0006505683,0.00009332367,0.9411235,0.0050274706,0.00075644645,0.0024460156,0.00005435533],"about_ca_topic_score_codex":0.0032544844,"about_ca_topic_score_gemma":0.0024326653,"teacher_disagreement_score":0.0123160025,"about_ca_system_score_codex":0.0004953718,"about_ca_system_score_gemma":0.0011637566,"threshold_uncertainty_score":0.06513405},"labels":[],"label_agreement":null},{"id":"W4416934951","doi":"10.2196/79195","title":"Personalized Type 1 Diabetes Management: Reinforcement Learning–Based Insulin Dosing and Glucose Forecasting","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and 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":"","keywords":"Type 1 diabetes; Dosing; Insulin; Diabetes mellitus; Reinforcement; Reinforcement learning","score_opus":0.020945398133994587,"score_gpt":0.28915058821880163,"score_spread":0.26820519008480703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416934951","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19817163,0.0040076785,0.78332496,0.0033127784,0.00041960296,0.00016896242,0.0010225873,0.0022890763,0.0072826906],"genre_scores_gemma":[0.960505,0.00047348003,0.03670011,0.00035725493,0.00009237446,0.00007864242,0.00051175285,0.000035713212,0.00124568],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963737,0.00011115275,0.00002082099,0.0001225572,0.00005853575,0.000049517916],"domain_scores_gemma":[0.999073,0.00053308206,0.00013081216,0.00005210469,0.00014754724,0.00006340557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097243045,0.00078746106,0.00068703975,0.0003338025,0.00023831891,0.00055382546,0.0009909865,0.00063296704,0.0012634047],"category_scores_gemma":[0.003351395,0.00030487592,0.00042805338,0.00031071535,0.00032595004,0.00065301877,0.0005427335,0.0013668955,0.0002519918],"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":[0.00020475691,0.00020522767,0.0059899325,0.000060021404,0.000059557602,0.00008936343,0.000035389636,0.91463095,0.00085298135,0.0010935595,0.0028434081,0.0739348],"study_design_scores_gemma":[0.000010966903,0.000018186998,0.00028449958,0.000004619434,0.000006714004,0.000007110004,0.0000024964363,0.99846196,0.0001627992,0.00081631966,0.00022121823,0.000003140351],"about_ca_topic_score_codex":0.015894856,"about_ca_topic_score_gemma":0.011369799,"teacher_disagreement_score":0.015894856,"about_ca_system_score_codex":0.0009349603,"about_ca_system_score_gemma":0.00095647847,"threshold_uncertainty_score":0.031604707},"labels":[],"label_agreement":null},{"id":"W4417220091","doi":"10.2196/82635","title":"Predictors of Glycemic Response to Sulfonylurea Therapy in Type 2 Diabetes Over 12 Months: Comparative Analysis of Linear Regression and Machine Learning Models","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes and associated disorders","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":"Novo Nordisk","keywords":"Glycemic; Type 2 diabetes; Linear model; Linear regression; Regression; Logistic regression; Regression analysis; Gliclazide","score_opus":0.012650123173433562,"score_gpt":0.2757627260727046,"score_spread":0.263112602899271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417220091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98028266,0.002286876,0.015477385,0.00061886635,0.00006554959,0.00004469676,0.00048822386,0.00015240998,0.0005833786],"genre_scores_gemma":[0.9958319,0.00042845815,0.0028542962,0.000042870397,0.000053929703,0.00002841836,0.00054304086,0.00002233942,0.00019477552],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9928746,0.005653523,0.00022367346,0.0005810834,0.00046974956,0.0001972782],"domain_scores_gemma":[0.92663836,0.06771155,0.0023153906,0.0012490852,0.0014178159,0.00066772307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02306352,0.0010824291,0.00096573285,0.0019668008,0.00025118224,0.0012586141,0.0010377676,0.0007646439,0.0011431876],"category_scores_gemma":[0.034719337,0.00029031857,0.0028610523,0.0012522002,0.0003471763,0.00093700347,0.0007041637,0.001355492,0.00029022366],"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":[0.0030327584,0.00035070616,0.8683702,0.00018492341,0.004413443,0.00013432938,0.00023100594,0.07897293,0.00019364899,0.0005653189,0.0010348763,0.04251586],"study_design_scores_gemma":[0.00011871082,0.0019101826,0.1904399,0.000100900594,0.0013429377,0.00016138422,0.00032708567,0.8033121,0.00030721613,0.0014524898,0.0004773824,0.000049685357],"about_ca_topic_score_codex":0.0057995426,"about_ca_topic_score_gemma":0.002784581,"teacher_disagreement_score":0.02306352,"about_ca_system_score_codex":0.00065072253,"about_ca_system_score_gemma":0.0010325792,"threshold_uncertainty_score":0.12197304},"labels":[],"label_agreement":null},{"id":"W4417427934","doi":"10.2196/75672","title":"Low-Carbohydrate Nutrition Counseling With Continuous Glucose Monitoring to Improve Metabolic Health Among Veterans With Type 2 Diabetes: Pilot Quality Improvement Initiative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diet and metabolism studies","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":"Yale New Haven Hospital; Health Services Research and Development; U.S. Department of Defense; National Pharmaceutical Council; Agency for Healthcare Research and Quality; National Institutes of Health; Yale University; Arnold Ventures; Eli Lilly and Company; National Institute of Diabetes and Digestive and Kidney Diseases; Boehringer Ingelheim; U.S. Department of Veterans Affairs","keywords":"Quality management; Test (biology); Cohort; Continuous glucose monitoring; Cohort study; Blood glucose monitoring; Type 2 diabetes; MEDLINE","score_opus":0.019821681978752788,"score_gpt":0.31500062679857727,"score_spread":0.2951789448198245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417427934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913629,0.00026798362,0.0006969034,0.00038330475,0.00005095628,0.005929085,0.00041956667,0.00007670154,0.000812662],"genre_scores_gemma":[0.986949,0.00027586427,0.0057544364,0.0005052476,0.000093473274,0.005425396,0.0006479396,0.000014139377,0.0003344377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9920093,0.005443979,0.00039570133,0.0005779502,0.00084857346,0.00072445517],"domain_scores_gemma":[0.9930139,0.0009841397,0.0015553344,0.0007682675,0.0010059607,0.0026723696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012090812,0.00086091954,0.0008013926,0.0005748722,0.0010206292,0.0013200364,0.0011822286,0.0007091955,0.0019334337],"category_scores_gemma":[0.009042758,0.0005086852,0.0014251705,0.0010834133,0.0009140574,0.0009355382,0.0017682246,0.0015272653,0.00024105208],"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":[0.098836735,0.30910814,0.35249284,0.001304764,0.0041864906,0.0002771111,0.0025956188,0.0018498289,0.003824079,0.00036702052,0.0053829267,0.21977448],"study_design_scores_gemma":[0.14866412,0.21421051,0.6244795,0.00030258155,0.0024752107,0.00019749941,0.0015022528,0.003400305,0.0015829589,0.0001712274,0.0029258893,0.00008792908],"about_ca_topic_score_codex":0.012513005,"about_ca_topic_score_gemma":0.016669033,"teacher_disagreement_score":0.012513005,"about_ca_system_score_codex":0.0024829074,"about_ca_system_score_gemma":0.0092129605,"threshold_uncertainty_score":0.06394309},"labels":[],"label_agreement":null},{"id":"W4417444318","doi":"10.2196/79166","title":"Privacy-Preserving Collaborative Diabetes Prediction in Heterogeneous Health Care Systems: Algorithm Development and Validation of a Secure Federated Ensemble Framework","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Privacy-Preserving Technologies in Data","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":"Health care; Work (physics); Health data; Data security; Development (topology); Ensemble learning; Access control","score_opus":0.011498064893387233,"score_gpt":0.2717891570165762,"score_spread":0.26029109212318896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417444318","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056438684,0.00030876673,0.9401135,0.0009054053,0.000049086004,0.00012735257,0.00011416299,0.0007232512,0.0012198284],"genre_scores_gemma":[0.8485723,0.00018261687,0.14948335,0.000247759,0.000048865237,0.00018227671,0.00028522787,0.000057126097,0.00094052433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976163,0.0008880689,0.00013077736,0.000492358,0.0004917374,0.0003807924],"domain_scores_gemma":[0.9916999,0.0049756416,0.00056829787,0.00091706816,0.0013951352,0.00044397786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067051174,0.00082631235,0.0014014917,0.00064424257,0.0011684413,0.0016268604,0.0019208804,0.0014223908,0.0018011463],"category_scores_gemma":[0.014200293,0.00037025494,0.0011096494,0.00058150134,0.0011431474,0.002208021,0.0036199568,0.0021902723,0.0002781699],"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":[0.00013579823,0.000065151304,0.0021703725,0.000028314864,0.00004692578,0.0000806587,0.00006721846,0.9577463,0.00053114403,0.007210526,0.0006773688,0.031240135],"study_design_scores_gemma":[0.0000061444152,0.000009979031,0.00005071508,0.0000025744462,0.0000033892616,0.000007635867,0.0000064457317,0.99713814,0.00014720576,0.0025650442,0.00006105249,0.0000017628945],"about_ca_topic_score_codex":0.010887867,"about_ca_topic_score_gemma":0.008428182,"teacher_disagreement_score":0.010887867,"about_ca_system_score_codex":0.0019888198,"about_ca_system_score_gemma":0.0043054996,"threshold_uncertainty_score":0.035460472},"labels":[],"label_agreement":null},{"id":"W7115910125","doi":"10.2196/75689","title":"Cultural and Technological Barriers to Telehealth Adoption for Type 2 Diabetes Management Among Asian American Patients: Qualitative Case Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","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; Focus group; eHealth; Qualitative research; Cultural competence; Telemedicine; Cultural diversity; Digital divide; Asian americans; Literacy","score_opus":0.03498476871759268,"score_gpt":0.42399346384690445,"score_spread":0.3890086951293118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115910125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99497294,0.00043184153,0.0009134459,0.0013611453,0.000027226164,0.00021236675,0.000058226455,0.000006490735,0.0020162845],"genre_scores_gemma":[0.99617445,0.00083678536,0.0009781702,0.00071975397,0.000009717888,0.00029259984,0.00003020629,0.00000772475,0.0009506096],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.995738,0.0029787929,0.00016018882,0.00021065742,0.00026631498,0.00064587744],"domain_scores_gemma":[0.9909149,0.0063046473,0.00079387944,0.0002323194,0.00068187003,0.0010723225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008079594,0.0005590786,0.00063935167,0.0010664145,0.0099369995,0.002536871,0.001992086,0.0014000589,0.0025201591],"category_scores_gemma":[0.008534279,0.0005622743,0.0005638416,0.0016886564,0.0049272287,0.002481958,0.004856883,0.0023738863,0.00021423065],"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":[0.000028110795,0.0001278951,0.0072913547,0.00014415346,0.0000062655504,0.0019732502,0.9856726,0.000030576142,0.0003800535,0.0005397427,0.00034843903,0.003457565],"study_design_scores_gemma":[0.000002687472,0.00003419058,0.0011564016,0.000094683455,0.000004306725,0.00033200192,0.99686974,0.000059128844,0.00008869893,0.00009931554,0.0012523988,0.0000064201718],"about_ca_topic_score_codex":0.019904282,"about_ca_topic_score_gemma":0.038339578,"teacher_disagreement_score":0.019904282,"about_ca_system_score_codex":0.005286377,"about_ca_system_score_gemma":0.007495553,"threshold_uncertainty_score":0.042729437},"labels":[],"label_agreement":null},{"id":"W7116063745","doi":"10.2196/80582","title":"Digital Health Solutions for Type 2 Diabetes and Prediabetes: Systematic Review of Engagement Barriers, Facilitators, and Outcomes","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"","keywords":"Digital health; Type 2 diabetes; mHealth; eHealth; Type 2 Diabetes Mellitus; MEDLINE","score_opus":0.03878389033878526,"score_gpt":0.41237088514541054,"score_spread":0.37358699480662527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116063745","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013021735,0.99608636,0.00028316677,0.00045519634,0.00012100993,0.0007864011,0.00039909236,0.000011160525,0.00055542495],"genre_scores_gemma":[0.013290235,0.9828096,0.0010514463,0.0006120094,0.000054963042,0.0017602008,0.00026047087,0.000006361585,0.00015475052],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9867517,0.005704087,0.004132545,0.00062713516,0.0023676595,0.00041681257],"domain_scores_gemma":[0.9511186,0.03768052,0.006465018,0.0005395508,0.0035840943,0.0006122044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01707941,0.001359838,0.0061032167,0.01098512,0.0010694029,0.003556517,0.0018264002,0.0018326411,0.0050047627],"category_scores_gemma":[0.07104289,0.0009009337,0.006938129,0.012638026,0.0011176884,0.003158378,0.002711155,0.0017703428,0.00030318982],"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":[0.00012368185,0.000026987726,0.00048269724,0.94742584,0.0032495921,0.0000427409,0.0006348582,0.00006694864,0.00005429759,0.0004010285,0.0012818931,0.04620937],"study_design_scores_gemma":[0.00010600337,0.000113649985,0.0015265009,0.96488655,0.018778274,0.00008978972,0.00052298116,0.000047038124,0.0000670808,0.0002784971,0.013562286,0.000021328595],"about_ca_topic_score_codex":0.011657746,"about_ca_topic_score_gemma":0.035671733,"teacher_disagreement_score":0.01707941,"about_ca_system_score_codex":0.0055866446,"about_ca_system_score_gemma":0.027183818,"threshold_uncertainty_score":0.09032565},"labels":[],"label_agreement":null},{"id":"W7116788325","doi":"10.2196/72779","title":"Exploring the REACHOUT Mental Health Support App for Type 1 Diabetes From the Perspectives of Recipients and Providers of Peer Support: Qualitative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McMaster University; Population Health Research Institute; BC Children's Hospital; Impact; University of British Columbia","funders":"Michael Smith Health Research BC","keywords":"Mental health; Psychological intervention; Peer support; Qualitative research; Type 1 diabetes; mHealth; Digital health","score_opus":0.10845336455583045,"score_gpt":0.42537520675982976,"score_spread":0.3169218422039993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116788325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884596,0.0007385748,0.003295366,0.0018353022,0.00010101625,0.0005454678,0.00016047462,0.00003082926,0.0048333923],"genre_scores_gemma":[0.99147767,0.001134971,0.0020814452,0.0008324864,0.00005552008,0.000863594,0.00008262147,0.00004280855,0.0034287395],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99404,0.0042767026,0.00013913894,0.00029605,0.00048245233,0.0007657282],"domain_scores_gemma":[0.99091,0.006704013,0.000634031,0.00019138175,0.00067075616,0.0008899344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009749004,0.00064141303,0.00064718793,0.0012189182,0.0068165874,0.0032553463,0.0015253563,0.0012245266,0.0030079873],"category_scores_gemma":[0.015147392,0.0005598827,0.00048498195,0.000960686,0.0044377637,0.0033041555,0.005276479,0.0021957282,0.0003136293],"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":[0.000039768292,0.00010999201,0.002123769,0.00025577788,0.0000063367233,0.0009371629,0.98690295,0.00002648609,0.0007931802,0.0006459807,0.00068430614,0.007474376],"study_design_scores_gemma":[0.0000069109974,0.00011580362,0.0014745289,0.0002453593,0.000009376118,0.00032419938,0.9900725,0.000097884746,0.00035401623,0.0002082236,0.007079369,0.000011819383],"about_ca_topic_score_codex":0.0028496156,"about_ca_topic_score_gemma":0.00436816,"teacher_disagreement_score":0.009749004,"about_ca_system_score_codex":0.0021052335,"about_ca_system_score_gemma":0.0037786753,"threshold_uncertainty_score":0.051558316},"labels":[],"label_agreement":null},{"id":"W7117145434","doi":"10.2196/85548","title":"Continuous Ketone Monitoring: Data From a Randomized Controlled Trial","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diet and metabolism studies","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":"Ketosis; Ketone; Randomized controlled trial; Ketone bodies; Placebo","score_opus":0.026100118297829232,"score_gpt":0.32929652285016653,"score_spread":0.3031964045523373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117145434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6186701,0.3465159,0.0026754008,0.006910697,0.005156749,0.0053151827,0.0075390283,0.00035844088,0.0068585365],"genre_scores_gemma":[0.93724144,0.044222828,0.002424328,0.0056420905,0.0027779646,0.0030835336,0.0026077628,0.00005811078,0.0019418618],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9959363,0.0024573503,0.00053391675,0.0004648656,0.0003379419,0.00026967213],"domain_scores_gemma":[0.9900649,0.0049035465,0.0032252886,0.000545709,0.0005223134,0.00073830615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056676073,0.0014251331,0.005426241,0.0005150116,0.0005381046,0.002133381,0.0012128016,0.0029009115,0.014870472],"category_scores_gemma":[0.010208298,0.0005819974,0.0036147698,0.0011991999,0.0017073828,0.0017707826,0.00052083784,0.0029018442,0.0011315559],"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":[0.9620837,0.0011504715,0.0011203062,0.008763158,0.008655891,0.000042191437,0.000028104349,0.00010612977,0.00071860943,0.000103337145,0.0014325477,0.015795413],"study_design_scores_gemma":[0.9595718,0.021318445,0.0065381583,0.001056068,0.009478144,0.00006629753,0.000040245748,0.00014740205,0.00023923845,0.0001896818,0.0013226551,0.000031980944],"about_ca_topic_score_codex":0.0007414984,"about_ca_topic_score_gemma":0.0012059698,"teacher_disagreement_score":0.014870472,"about_ca_system_score_codex":0.00067981734,"about_ca_system_score_gemma":0.0010064379,"threshold_uncertainty_score":0.049746633},"labels":[],"label_agreement":null},{"id":"W7117464580","doi":"10.2196/83685","title":"A Tailor-Made Mobile App With a Local Cuisine Database for Self-Management of Type 2 Diabetes Mellitus: Randomized Controlled Trial","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","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":"Mahidol University","keywords":"Type 2 diabetes; Glycemic; Randomized controlled trial; Mobile apps; Diabetes mellitus; Type 2 Diabetes Mellitus; Smartphone app","score_opus":0.013959282567778331,"score_gpt":0.3690444172553002,"score_spread":0.35508513468752184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117464580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91295433,0.014557945,0.0021190848,0.0015765312,0.003233623,0.057274535,0.0034162595,0.0005097399,0.0043578497],"genre_scores_gemma":[0.8901851,0.006608307,0.0063746003,0.0024566175,0.0013979776,0.08584983,0.0015014124,0.000040587645,0.005585533],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99813545,0.0008176622,0.0002372257,0.00037872966,0.00018494089,0.00024596654],"domain_scores_gemma":[0.99856794,0.00043807155,0.00037645592,0.00011428215,0.00016019947,0.00034307098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002688888,0.0017258025,0.004562565,0.0007449754,0.0008431435,0.0015527863,0.0014644545,0.0029761135,0.0114264535],"category_scores_gemma":[0.0038139143,0.000897371,0.0034681617,0.00089374406,0.001253578,0.0014437641,0.0008313646,0.0026277157,0.0011412856],"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":[0.97347766,0.009639648,0.00051864976,0.0028366996,0.002369462,0.000036535774,0.000048089485,0.00009927154,0.00042944754,0.000078563964,0.00074106414,0.009724837],"study_design_scores_gemma":[0.9803714,0.017578045,0.0006824964,0.00009731261,0.0007722138,0.0000075708926,0.000018496357,0.00012525957,0.000064020875,0.000042997937,0.00023271085,0.000007493116],"about_ca_topic_score_codex":0.0037805806,"about_ca_topic_score_gemma":0.005934661,"teacher_disagreement_score":0.0114264535,"about_ca_system_score_codex":0.0011566189,"about_ca_system_score_gemma":0.0020796878,"threshold_uncertainty_score":0.038225293},"labels":[],"label_agreement":null},{"id":"W7117562630","doi":"10.2196/82084","title":"Cardiorespiratory Markers of Type 2 Diabetes: Machine Learning–Based Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Artificial Intelligence in Healthcare","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":"Cardiorespiratory fitness; Generalizability theory; Feature (linguistics); Sample (material); Heartbeat; Autonomic nervous system","score_opus":0.052099291213126925,"score_gpt":0.42574918055154787,"score_spread":0.3736498893384209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117562630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5826555,0.049507692,0.34111926,0.0043559745,0.00073502836,0.00058948336,0.008715327,0.0015640674,0.010757703],"genre_scores_gemma":[0.93882406,0.004789328,0.05181931,0.00042424904,0.00046012265,0.00022952835,0.002462115,0.00004957229,0.0009417539],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889404,0.0004919054,0.00009390471,0.00021701699,0.00025840907,0.000044719673],"domain_scores_gemma":[0.99744594,0.001329681,0.00047410963,0.00021382098,0.00045802363,0.00007853457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034953242,0.00074212835,0.00074878434,0.0021902001,0.0001746832,0.001369197,0.0005537856,0.0006116075,0.0010300728],"category_scores_gemma":[0.006238855,0.0001241111,0.00077856105,0.0017020847,0.00022801437,0.00047413624,0.00038184118,0.00094991596,0.0004961251],"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":[0.00058556034,0.0004524536,0.46738675,0.0006293845,0.0014861197,0.00019472477,0.00010906331,0.04300733,0.006341733,0.0017830282,0.0061880574,0.47183573],"study_design_scores_gemma":[0.000041801155,0.00060249004,0.49704444,0.00051425153,0.0005721854,0.00066239596,0.00017550038,0.47608387,0.0048110317,0.010951676,0.008436996,0.000103315695],"about_ca_topic_score_codex":0.0013908566,"about_ca_topic_score_gemma":0.001373522,"teacher_disagreement_score":0.0034953242,"about_ca_system_score_codex":0.00042961453,"about_ca_system_score_gemma":0.00037812945,"threshold_uncertainty_score":0.018485248},"labels":[],"label_agreement":null},{"id":"W7117683953","doi":"10.2196/73446","title":"Continuous Glucose Monitors Among Adults With Type 2 Diabetes Mellitus in the Primary Care Setting: Qualitative Study Informed by Technology Acceptance Model and Health Belief Model","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"College of Medicine, University of Cincinnati; University of Cincinnati; Cincinnati Children's Hospital Medical Center","keywords":"Primary care; Type 2 Diabetes Mellitus; Qualitative research; Continuous glucose monitoring; Type 2 diabetes; Primary health care; Qualitative property; Scalability; Technology acceptance model","score_opus":0.018062946778389852,"score_gpt":0.39825448918379475,"score_spread":0.38019154240540487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117683953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992753,0.0008588549,0.0019066745,0.0020290946,0.000042510623,0.00032092605,0.00019605902,0.000007927989,0.001885021],"genre_scores_gemma":[0.9950228,0.0009009058,0.0014726566,0.0010708082,0.000014468707,0.0004274112,0.00008450012,0.000007617924,0.0009988956],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99601513,0.002881456,0.00012286058,0.00023589424,0.00022541215,0.0005191993],"domain_scores_gemma":[0.9922609,0.0056700865,0.000632825,0.00016633268,0.00060183596,0.00066802464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072794603,0.00036335393,0.00056589267,0.00081921124,0.004713172,0.0018367087,0.0009985494,0.00090317096,0.0018141632],"category_scores_gemma":[0.008449685,0.00046540468,0.00047030093,0.0009359818,0.00312209,0.0019469841,0.003055637,0.0014933335,0.00013638494],"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":[0.000030495767,0.00006637844,0.007518048,0.00023497114,0.0000072487414,0.0006596751,0.98574775,0.000029033929,0.0006242201,0.000419396,0.00043809268,0.0042247297],"study_design_scores_gemma":[0.0000051519223,0.000053985426,0.0037364084,0.00018733306,0.000005798398,0.0001700141,0.99312794,0.00008181361,0.00012602076,0.00015395424,0.0023442947,0.0000072799608],"about_ca_topic_score_codex":0.01081749,"about_ca_topic_score_gemma":0.019932434,"teacher_disagreement_score":0.01081749,"about_ca_system_score_codex":0.0035365704,"about_ca_system_score_gemma":0.0041961665,"threshold_uncertainty_score":0.038497925},"labels":[],"label_agreement":null},{"id":"W7159933053","doi":"10.2196/77925","title":"Artificial Intelligence-Based Models for Diabetic Foot Ulcer Assessment : A Scoping Review (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetic Foot Ulcer Assessment and Management","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":"Diabetic foot; Diabetes mellitus; Ankylosing spondylitis; MEDLINE; Quality of life (healthcare)","score_opus":0.04749377541045314,"score_gpt":0.3809604698831384,"score_spread":0.3334666944726853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7159933053","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00058673427,0.9972838,0.00074002607,0.0007089387,0.000115272174,0.000045344714,0.00011885363,0.000009961063,0.0003911334],"genre_scores_gemma":[0.011760566,0.9848632,0.0023365603,0.00049221324,0.00012775035,0.00010107358,0.00021251405,0.000004968771,0.00010108679],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9969421,0.0014519556,0.0005994792,0.0003023313,0.0006317528,0.000072373325],"domain_scores_gemma":[0.95846134,0.03717312,0.0018417764,0.00053950684,0.0018632396,0.00012095188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009980041,0.0012945757,0.0029959634,0.0045474796,0.00035332202,0.0041916417,0.0025555512,0.0027521085,0.0027563495],"category_scores_gemma":[0.044769693,0.00079440675,0.0054859202,0.0049523055,0.0008531571,0.0031347717,0.0011103594,0.002453267,0.0005577086],"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":[0.0004448918,0.00032968042,0.003999985,0.26229385,0.0090860035,0.00014587726,0.0003383626,0.008244715,0.0002421376,0.005795275,0.01031286,0.6987664],"study_design_scores_gemma":[0.00036535237,0.0007271365,0.017400084,0.7579662,0.042267732,0.00084965193,0.0007917449,0.014443425,0.000982472,0.019081917,0.14486527,0.00025892432],"about_ca_topic_score_codex":0.012862101,"about_ca_topic_score_gemma":0.014273592,"teacher_disagreement_score":0.012862101,"about_ca_system_score_codex":0.0027616827,"about_ca_system_score_gemma":0.004610618,"threshold_uncertainty_score":0.05278009},"labels":[],"label_agreement":null},{"id":"W7160246727","doi":"10.2196/79648","title":"SMARTCLOTH-Odyssey for Nutrition Education in Type 1 Diabetes: Development and Acceptability Study of a Gamified Web-Based Platform for Diabetes Nurse Educators Using a Human-Centered Design Approach (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Educational Games and Gamification","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":"Nutrition Education; Nurse educator; Nurse education; Qualitative research; Diabetes mellitus; Type 2 diabetes; MEDLINE","score_opus":0.06271574743250637,"score_gpt":0.3764516842436498,"score_spread":0.3137359368111434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160246727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98475975,0.000039440543,0.010020063,0.00010504938,0.000033087646,0.0028054675,0.00010366968,0.00020014038,0.0019333889],"genre_scores_gemma":[0.8828506,0.00017425662,0.10621325,0.00025983877,0.000018362343,0.0070173633,0.00021490586,0.00012386494,0.0031275745],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9969964,0.0017577171,0.00020112391,0.00032296454,0.00047907323,0.00024270102],"domain_scores_gemma":[0.9929022,0.005169721,0.00021872621,0.0003460847,0.0006667545,0.00069649203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010163146,0.0007334715,0.00058354344,0.000673592,0.00059238606,0.0012029323,0.00084204035,0.0007789417,0.0040311683],"category_scores_gemma":[0.0154927485,0.00048364248,0.00058397907,0.0002145972,0.00054303394,0.0010989781,0.0018728399,0.0010395745,0.00042294088],"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":[0.020465074,0.10853538,0.063495144,0.004431571,0.00043853815,0.00095615594,0.06350538,0.006010752,0.051064324,0.0037107053,0.0041680015,0.67321897],"study_design_scores_gemma":[0.019548927,0.344781,0.35547167,0.002388631,0.0020197837,0.0015246987,0.05342234,0.07233787,0.0806526,0.0059960415,0.0608967,0.0009597656],"about_ca_topic_score_codex":0.001030038,"about_ca_topic_score_gemma":0.0019298824,"teacher_disagreement_score":0.010163146,"about_ca_system_score_codex":0.00038538149,"about_ca_system_score_gemma":0.0011737607,"threshold_uncertainty_score":0.05374849},"labels":[],"label_agreement":null},{"id":"W7162941973","doi":"10.2196/87590","title":"Social Media Posts on Anti-Diabetic Drugs: Popularity of GLP-1s (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Diabetes","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":"Popularity; Social media; The Internet; Context (archaeology)","score_opus":0.04592628206711435,"score_gpt":0.3967858922164231,"score_spread":0.3508596101493087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162941973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8106219,0.0027419464,0.000800965,0.015916085,0.0029100925,0.000115457195,0.09557103,0.0008549001,0.07046761],"genre_scores_gemma":[0.9469135,0.001584427,0.00091403746,0.0018798091,0.0049599856,0.00011725682,0.016663782,0.00015839328,0.026808819],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994466,0.00011967238,0.000056230227,0.00007906497,0.00021400685,0.00008444079],"domain_scores_gemma":[0.9905359,0.0054100994,0.0019305771,0.00019153826,0.0012066228,0.0007251508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057951064,0.0003493966,0.00024101553,0.002567261,0.00042416708,0.0015422984,0.00021655417,0.0006916589,0.03582094],"category_scores_gemma":[0.009786713,0.00013752606,0.00035239427,0.0021105162,0.0002099099,0.0016283442,0.0008771791,0.0006281682,0.0064021037],"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":[0.0031111515,0.00049181766,0.5011644,0.0015344323,0.00047458356,0.00035501065,0.0025340961,0.0002679903,0.004681779,0.001225897,0.23737644,0.24678238],"study_design_scores_gemma":[0.00010705088,0.0003713172,0.9382688,0.0002930531,0.00027345135,0.00046941492,0.004826625,0.0022990906,0.0022680522,0.000876633,0.049881022,0.00006550932],"about_ca_topic_score_codex":0.0038207138,"about_ca_topic_score_gemma":0.0053185984,"teacher_disagreement_score":0.03582094,"about_ca_system_score_codex":0.00025687244,"about_ca_system_score_gemma":0.00027906403,"threshold_uncertainty_score":0.11983293},"labels":[],"label_agreement":null}]}