{"meta":{"query_hash":"d4d6a8961401","filters":{"venue":"EAI Endorsed Transactions on Pervasive Health and Technology"},"cohort_total":10,"direct_labels_cover":1,"predictions_cover":10,"exported":10,"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/d4d6a8961401","api":"https://metacan.xera.ac/api/v1/cohort?venue=EAI+Endorsed+Transactions+on+Pervasive+Health+and+Technology"},"results":[{"id":"W2736604180","doi":"10.4108/eai.18-7-2017.152897","title":"Utilizing Gamification Approaches in Pervasive Health: How Can We Motivate Physical Activity Effectively?","year":2017,"lang":"en","type":"article","venue":"EAI Endorsed Transactions on Pervasive Health and Technology","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Activity tracker; Physical activity; Wearable computer; Human–computer interaction; Intervention (counseling); BitTorrent tracker; Field (mathematics); Psychology; Reflection (computer programming); Persuasive technology; Computer science; Applied psychology; Persuasion; Social psychology; Medicine","score_opus":0.07565787600965618,"score_gpt":0.31983174352089533,"score_spread":0.24417386751123915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736604180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35525763,0.122117765,0.14434665,0.29137337,0.0030761932,0.0014778201,0.00015848051,0.0012763995,0.08091574],"genre_scores_gemma":[0.8058581,0.057837393,0.117562324,0.011188475,0.00066928304,0.0013997242,0.00009882196,0.000101853286,0.005284048],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965031,0.0024768799,0.00008218582,0.00019856173,0.00041897324,0.00032032473],"domain_scores_gemma":[0.995372,0.0032491568,0.00023633124,0.0001785687,0.0002661965,0.00069777784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073195,0.0009169394,0.0008766777,0.0013359173,0.0008605628,0.0046272995,0.0010689278,0.0023240424,0.0028767555],"category_scores_gemma":[0.014378274,0.00035214875,0.00075122225,0.0008887076,0.0029468562,0.00453535,0.0035845253,0.0032894397,0.000816503],"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":[0.00044384316,0.002992157,0.012114706,0.0038805527,0.00022878508,0.00037644638,0.007200186,0.0018315229,0.0019829252,0.061098035,0.012885391,0.89496535],"study_design_scores_gemma":[0.00096019375,0.0038718546,0.031962916,0.015862795,0.00055714493,0.0016811617,0.024702538,0.014876605,0.0049764314,0.6490033,0.25118458,0.00036043514],"about_ca_topic_score_codex":0.0011539381,"about_ca_topic_score_gemma":0.0027055496,"teacher_disagreement_score":0.0073195,"about_ca_system_score_codex":0.0010257297,"about_ca_system_score_gemma":0.0020964304,"threshold_uncertainty_score":0.03870964},"labels":[],"label_agreement":null},{"id":"W2736901153","doi":"10.4108/eai.18-7-2017.152898","title":"A Guide to Using Asynchronous Remote Communities (ARC) for Researching Distributed Populations","year":2017,"lang":"en","type":"article","venue":"EAI Endorsed Transactions on Pervasive Health and Technology","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Asynchronous communication; Arc (geometry); Computer science; Geography; Telecommunications; Engineering","score_opus":0.09215832223710169,"score_gpt":0.4219433261493163,"score_spread":0.3297850039122146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736901153","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":[0.0028591184,0.0101774465,0.80084246,0.010759897,0.0021568732,0.04757589,0.01588302,0.010465253,0.09928003],"genre_scores_gemma":[0.0038439322,0.0061448743,0.8994062,0.0026560705,0.00014897189,0.060067713,0.0019794614,0.0012405643,0.024512226],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9808493,0.014682196,0.0016998824,0.00073272135,0.0017137901,0.00032212926],"domain_scores_gemma":[0.95291525,0.032938745,0.0018121985,0.0047652093,0.005909234,0.0016592948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02523704,0.002205241,0.0015188752,0.0060550794,0.0031310383,0.0043639066,0.0049867206,0.0040257787,0.07900228],"category_scores_gemma":[0.043378122,0.0023399421,0.001784732,0.0065431697,0.0028078596,0.005308165,0.005036761,0.005109144,0.036831453],"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":[0.00017086083,0.0006581975,0.0012263781,0.0064707673,0.00007120509,0.00051455456,0.011996843,0.0011032111,0.0025640249,0.041154195,0.4179072,0.5161626],"study_design_scores_gemma":[0.00011965074,0.0002076249,0.0016901047,0.0029894377,0.000028079123,0.00042883327,0.0023499725,0.00079260545,0.0005950377,0.019100798,0.9716125,0.000085277694],"about_ca_topic_score_codex":0.0093339635,"about_ca_topic_score_gemma":0.037249472,"teacher_disagreement_score":0.07900228,"about_ca_system_score_codex":0.0022433163,"about_ca_system_score_gemma":0.00820682,"threshold_uncertainty_score":0.26428902},"labels":[],"label_agreement":null},{"id":"W2884549361","doi":"10.4108/eai.13-7-2018.155082","title":"Confronting Autism in Urban Bangladesh: Unpacking Infrastructural and Cultural Challenges","year":2018,"lang":"en","type":"article","venue":"EAI Endorsed Transactions on Pervasive Health and Technology","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Unpacking; Autism spectrum disorder; Mobile phone; Set (abstract data type); Qualitative research; Autism; Phone; Public relations; Internet privacy; Psychology; Business; Sociology; Political science; Computer science; Developmental psychology; Social science; Telecommunications","score_opus":0.033984820129610044,"score_gpt":0.3085456352590717,"score_spread":0.2745608151294616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884549361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97641206,0.00038511402,0.0007162249,0.0044573257,0.000032305805,0.00007790642,0.000060804086,0.00001123474,0.01784703],"genre_scores_gemma":[0.9971781,0.00055312616,0.00046993396,0.00033574773,0.000006098303,0.000054678738,0.00001947393,0.0000049755818,0.0013779774],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9980082,0.0013315394,0.0000707417,0.00008973908,0.00016725957,0.00033252785],"domain_scores_gemma":[0.9976388,0.0013575631,0.00030518073,0.00009271784,0.00027330048,0.00033250274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021302996,0.0004123877,0.00032257946,0.00087655324,0.0070815133,0.0030077898,0.00090166926,0.0010982826,0.00504061],"category_scores_gemma":[0.004402271,0.0002612984,0.00014532461,0.0010463543,0.004688602,0.002055433,0.00511022,0.0010994814,0.0005725913],"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":[0.00005839899,0.0001413325,0.07497469,0.0005077684,0.0000193241,0.008637181,0.86229885,0.00033674086,0.0027230463,0.007077352,0.003003131,0.0402222],"study_design_scores_gemma":[0.000001898147,0.000028081397,0.0054309387,0.00009082377,0.000005068657,0.0002761385,0.9877944,0.00006506873,0.000100177596,0.0006073978,0.005590392,0.000009593191],"about_ca_topic_score_codex":0.02531481,"about_ca_topic_score_gemma":0.07901354,"teacher_disagreement_score":0.02531481,"about_ca_system_score_codex":0.004334913,"about_ca_system_score_gemma":0.0047213864,"threshold_uncertainty_score":0.05033493},"labels":[],"label_agreement":null},{"id":"W3088548323","doi":"10.4108/eai.22-9-2020.166356","title":"Telepediatric assistance in Iran: Specialist and subspecialty challenges","year":2020,"lang":"en","type":"article","venue":"EAI Endorsed Transactions on Pervasive Health and Technology","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Università degli Studi di Camerino","keywords":"Subspecialty; Economic Justice; Feature (linguistics); Business; Public relations; Political science; Law; Medicine; Family medicine","score_opus":0.04169772539846072,"score_gpt":0.25101262777264555,"score_spread":0.20931490237418482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088548323","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":[0.07693312,0.89178485,0.00044289016,0.017415982,0.0008917762,0.0001303563,0.0010522834,0.000019021229,0.011329729],"genre_scores_gemma":[0.43268004,0.55755556,0.0017485748,0.005364923,0.0012493515,0.00012626917,0.00069966976,0.000007501122,0.00056809344],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99721247,0.0007573845,0.00068190845,0.00028558067,0.0008456353,0.0002170599],"domain_scores_gemma":[0.98500395,0.009149682,0.0038578452,0.00019647118,0.0013614036,0.00043060712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003743896,0.00029111042,0.00056329777,0.0047148233,0.00077946036,0.0017509384,0.00085131323,0.0009643541,0.004669529],"category_scores_gemma":[0.014199159,0.00021540487,0.0008653999,0.006906529,0.00087791315,0.00264571,0.0010902362,0.0010407339,0.00019056391],"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":[0.00038847936,0.00021412384,0.1400047,0.20577528,0.0011190115,0.007028414,0.007148456,0.0004406637,0.0007458267,0.0075938804,0.033710007,0.5958312],"study_design_scores_gemma":[0.00022180117,0.00069774635,0.37672615,0.26916164,0.004010385,0.0481165,0.06302351,0.0006687023,0.0011482562,0.008737175,0.22734903,0.00013910918],"about_ca_topic_score_codex":0.0072840657,"about_ca_topic_score_gemma":0.014666446,"teacher_disagreement_score":0.0072840657,"about_ca_system_score_codex":0.0023862498,"about_ca_system_score_gemma":0.006974553,"threshold_uncertainty_score":0.019799888},"labels":[],"label_agreement":null},{"id":"W4360785484","doi":"10.4108/eetpht.v8i5.3171","title":"The 100 most cited articles on wearable technology in the area of Medical Informatics: A bibliometric analysis using Web of Science","year":2022,"lang":"en","type":"article","venue":"EAI Endorsed Transactions on Pervasive Health and Technology","topic":"Scientific Research and Technology","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wearable computer; Bibliometrics; Informatics; China; Wearable technology; Health informatics; Web of science; Smartwatch; Health technology; MEDLINE; Medical education; Computer science; Medicine; Data science; Health care; Political science; Library science","score_opus":0.03450227182355079,"score_gpt":0.3229173432682072,"score_spread":0.2884150714446564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360785484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7710059,0.094103314,0.005026607,0.0025431365,0.00046592814,0.002889819,0.10297147,0.00045298194,0.020540865],"genre_scores_gemma":[0.8707522,0.066256694,0.0155152725,0.0003100541,0.00068787526,0.0036649734,0.038376484,0.00012552779,0.0043109097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98559767,0.0019993794,0.0043483987,0.0010004718,0.0065823216,0.00047180426],"domain_scores_gemma":[0.9320307,0.044999465,0.010684851,0.0010251704,0.009994519,0.0012653759],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0076366425,0.00079421035,0.0026503962,0.19893937,0.001509203,0.00489567,0.0009723711,0.0010577015,0.0052293157],"category_scores_gemma":[0.048785634,0.000341049,0.0032518592,0.19528586,0.0006923038,0.002963843,0.0019368301,0.0005415445,0.0012687903],"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":[0.00077336136,0.0006102676,0.6242357,0.057051104,0.006930096,0.0022253485,0.0035233358,0.0024398232,0.0046229027,0.0026120967,0.019847542,0.27512842],"study_design_scores_gemma":[0.00018124904,0.00056682236,0.9066824,0.009438722,0.0079856245,0.0031474938,0.0072254688,0.006363678,0.003383852,0.00293541,0.051904697,0.00018465068],"about_ca_topic_score_codex":0.0035008376,"about_ca_topic_score_gemma":0.0041651977,"teacher_disagreement_score":0.8010606,"about_ca_system_score_codex":0.0019519476,"about_ca_system_score_gemma":0.0044353837,"threshold_uncertainty_score":0.040386856},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W4393007707","doi":"10.4108/eetpht.10.5477","title":"A Step Towards Automated Haematology: DL Models for Blood Cell Detection and Classification","year":2024,"lang":"en","type":"article","venue":"EAI Endorsed Transactions on Pervasive Health and Technology","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wycliffe College","funders":"","keywords":"Hematology; Artificial intelligence; Computer science; Pattern recognition (psychology); Internal medicine; Medicine","score_opus":0.020132893811212294,"score_gpt":0.27507473894269924,"score_spread":0.25494184513148693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393007707","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":[0.05701895,0.005033102,0.9119501,0.003988774,0.00040539168,0.00018436465,0.003599456,0.011409729,0.0064100698],"genre_scores_gemma":[0.53913116,0.0042275777,0.42770803,0.0020433934,0.0003237996,0.00042720808,0.010392703,0.0005171003,0.015229063],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996494,0.00007269808,0.000020210893,0.00010038603,0.00012122745,0.000036097877],"domain_scores_gemma":[0.9993755,0.00018393213,0.00007269397,0.00010059914,0.00022787221,0.000039378927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001056155,0.0010389952,0.00051486335,0.0009178699,0.00021946465,0.0015523339,0.002011432,0.0010026676,0.002680908],"category_scores_gemma":[0.002295292,0.0003224322,0.00078329357,0.0006492968,0.00039183738,0.0010646826,0.0008173629,0.00149193,0.0022717447],"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":[0.0004159633,0.00029785134,0.014410645,0.00034839753,0.00024855125,0.00017030041,0.00008840201,0.38495636,0.01798254,0.012543874,0.042926516,0.5256106],"study_design_scores_gemma":[0.000015091128,0.000056612498,0.0013157473,0.000056257708,0.000035649016,0.0000780428,0.000017346329,0.9728986,0.00860416,0.0068993866,0.010007124,0.000015915577],"about_ca_topic_score_codex":0.011355176,"about_ca_topic_score_gemma":0.012108648,"teacher_disagreement_score":0.011355176,"about_ca_system_score_codex":0.001554424,"about_ca_system_score_gemma":0.0015514392,"threshold_uncertainty_score":0.02257812},"labels":[],"label_agreement":null},{"id":"W4393182497","doi":"10.4108/eetpht.10.5549","title":"Deep Learning in Medical Imaging: A Case Study on Lung Tissue Classification","year":2024,"lang":"en","type":"article","venue":"EAI Endorsed Transactions on Pervasive Health and Technology","topic":"AI in cancer detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wycliffe College","funders":"","keywords":"Artificial intelligence; Medical imaging; Lung; Computer science; Computer vision; Medicine; Internal medicine","score_opus":0.017377707678576434,"score_gpt":0.32730877350413273,"score_spread":0.3099310658255563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393182497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83741224,0.011368111,0.10819854,0.01682657,0.00049914344,0.00049271726,0.004301569,0.0013299802,0.019571098],"genre_scores_gemma":[0.9166517,0.0038029444,0.06986838,0.001731395,0.0002445808,0.00008806176,0.0019951407,0.0001626637,0.0054551573],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99899536,0.00026694167,0.000082197665,0.00014536097,0.00039011025,0.00011998486],"domain_scores_gemma":[0.9979329,0.001124161,0.00014978286,0.00023360449,0.00037253962,0.00018700499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019416146,0.0005473982,0.0004348964,0.001575855,0.0006683239,0.0014192875,0.0010445253,0.0025699905,0.0011774645],"category_scores_gemma":[0.0042407676,0.00026419753,0.0005666542,0.0017862109,0.00094900193,0.0008256847,0.0009343085,0.0012564516,0.0007393376],"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":[0.0009100098,0.0012086754,0.18007582,0.0021288537,0.00031884512,0.094866596,0.002575998,0.08611083,0.03194741,0.011986151,0.055679087,0.5321917],"study_design_scores_gemma":[0.00013373858,0.00086993456,0.09721009,0.0013091698,0.00023228017,0.15695775,0.0040767896,0.49340555,0.090497285,0.023059614,0.13203524,0.00021249628],"about_ca_topic_score_codex":0.0066121914,"about_ca_topic_score_gemma":0.013929063,"teacher_disagreement_score":0.0066121914,"about_ca_system_score_codex":0.0012692435,"about_ca_system_score_gemma":0.0007934516,"threshold_uncertainty_score":0.013147414},"labels":[],"label_agreement":null},{"id":"W4393254755","doi":"10.4108/eetpht.10.5583","title":"Safeguarding Patient Privacy: Exploring Data Protection in E-Health Laws: A Cross-Country Analysis","year":2024,"lang":"en","type":"article","venue":"EAI Endorsed Transactions on Pervasive Health and Technology","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Safeguarding; Internet privacy; Data Protection Act 1998; Business; Privacy protection; Environmental health; Law; Political science; Computer science; Medicine; Nursing","score_opus":0.07458883530133387,"score_gpt":0.35724976223207744,"score_spread":0.2826609269307436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393254755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95857173,0.0033333544,0.0037885515,0.0058725,0.00005148706,0.00029937126,0.00043626194,0.000006888813,0.02763979],"genre_scores_gemma":[0.99667513,0.0010009285,0.00081506476,0.0005109247,0.000015664913,0.00006723643,0.0001795653,0.0000058121755,0.0007297566],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9770358,0.014996458,0.0012872043,0.0011569983,0.0029009425,0.0026224593],"domain_scores_gemma":[0.8502562,0.118616894,0.015339658,0.0034603842,0.010785111,0.0015416696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029369377,0.0002731841,0.00046855424,0.005145925,0.0028917994,0.006670289,0.0010542343,0.0015069003,0.0048677777],"category_scores_gemma":[0.05784996,0.0003770866,0.0011681191,0.009854038,0.0060787983,0.0065362393,0.0048613464,0.0035972206,0.00034935083],"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":[0.00020151059,0.00054393616,0.66399336,0.0011021638,0.00053009565,0.0022821939,0.16070126,0.0016653482,0.00035081367,0.1225623,0.0040403255,0.042026684],"study_design_scores_gemma":[0.00001748294,0.00027859543,0.48671302,0.002477481,0.0004461763,0.00074723957,0.47129807,0.0030516302,0.00058459555,0.0066549126,0.027676063,0.000054731638],"about_ca_topic_score_codex":0.02081326,"about_ca_topic_score_gemma":0.015587201,"teacher_disagreement_score":0.029369377,"about_ca_system_score_codex":0.005288247,"about_ca_system_score_gemma":0.005499444,"threshold_uncertainty_score":0.15532196},"labels":[],"label_agreement":null},{"id":"W4411064866","doi":"10.4108/eetpht.11.9416","title":"Crowdsourcing Remote Co-design Towards Improving the Validity and Reliability of mHealth Application Development – A Case Study on Sleep Solved: A mHealth App Designed Virtually with Teens","year":2025,"lang":"en","type":"article","venue":"EAI Endorsed Transactions on Pervasive Health and Technology","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"SFU Community Trust Endowment Fund; Simon Fraser University; University of Bristol","keywords":"mHealth; Crowdsourcing; Reliability (semiconductor); Computer science; Validity; Psychology; World Wide Web; Clinical psychology; Psychometrics","score_opus":0.040365637598654976,"score_gpt":0.3709381455846566,"score_spread":0.33057250798600163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411064866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9266857,0.0005508385,0.045664888,0.0026341537,0.00013397189,0.0046768566,0.00015667069,0.00017201691,0.019324915],"genre_scores_gemma":[0.93837166,0.00041840028,0.053015616,0.00058077933,0.000044247943,0.002312846,0.00007870758,0.00011217113,0.005065445],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.96990436,0.023234861,0.0008398337,0.0014098086,0.0035564564,0.0010547169],"domain_scores_gemma":[0.9555481,0.03343656,0.0019298154,0.003834845,0.0037630326,0.0014876222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031307425,0.00069040136,0.00049494515,0.0014966575,0.0057478044,0.0037837694,0.0025819603,0.002297727,0.0033043628],"category_scores_gemma":[0.043071162,0.0005733144,0.0010472988,0.0007452069,0.005982346,0.0032106617,0.007571678,0.0017953012,0.0008884574],"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":[0.0007063238,0.0034054904,0.036453493,0.0028706985,0.0001227957,0.012092531,0.7194376,0.002740265,0.011546396,0.012785018,0.006066093,0.1917733],"study_design_scores_gemma":[0.0007914786,0.0089584645,0.03821505,0.0036867212,0.000314504,0.009806554,0.64069164,0.0146750165,0.030318068,0.019720832,0.23241913,0.00040254765],"about_ca_topic_score_codex":0.0033487775,"about_ca_topic_score_gemma":0.0050774203,"teacher_disagreement_score":0.031307425,"about_ca_system_score_codex":0.0025817354,"about_ca_system_score_gemma":0.004721308,"threshold_uncertainty_score":0.16557151},"labels":[],"label_agreement":null},{"id":"W4413652271","doi":"10.4108/eetpht.11.9981","title":"Study Results of mCARE: Developing, Deploying, and Analysing the End-to-End Results of a Mobile-Based Remote Monitoring Tool for Children with Autism Spectrum Disorder in Bangladesh","year":2025,"lang":"en","type":"article","venue":"EAI Endorsed Transactions on Pervasive Health and Technology","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institutes of Health","keywords":"Autism spectrum disorder; End-to-end principle; End user; Autism; Computer science; Psychology; Developmental psychology; Computer security; World Wide Web","score_opus":0.015347584369900259,"score_gpt":0.28476604932845423,"score_spread":0.269418464958554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413652271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99366534,0.000026998398,0.0027861823,0.00011975104,0.000006524086,0.00076992705,0.00023148618,0.000072168405,0.0023216582],"genre_scores_gemma":[0.9737934,0.0001266174,0.021731108,0.00012270774,0.000011028057,0.0013051905,0.00036511637,0.000064914035,0.002479948],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99384356,0.0036974372,0.00050837314,0.000539987,0.0009423776,0.0004683304],"domain_scores_gemma":[0.9769231,0.014745758,0.0016112628,0.0017616597,0.00404971,0.0009084771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0092742415,0.0007792172,0.00041823534,0.0011744541,0.0008757013,0.0012820527,0.00092262484,0.00072044553,0.0018639872],"category_scores_gemma":[0.024142254,0.00036792894,0.00039579152,0.0006759227,0.0014427203,0.0015841245,0.0015026546,0.00076972233,0.0006804901],"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":[0.0011022183,0.005964907,0.33916116,0.0019157884,0.00016749707,0.004702204,0.34825414,0.0034248496,0.059462372,0.0017902529,0.0033433365,0.23071118],"study_design_scores_gemma":[0.0002635655,0.023659559,0.53562427,0.0006501391,0.00026975095,0.0036468497,0.32622796,0.007993219,0.06668461,0.00086161157,0.033755884,0.00036271208],"about_ca_topic_score_codex":0.003790903,"about_ca_topic_score_gemma":0.008140225,"teacher_disagreement_score":0.0092742415,"about_ca_system_score_codex":0.0013850735,"about_ca_system_score_gemma":0.0012477926,"threshold_uncertainty_score":0.04904747},"labels":[],"label_agreement":null}]}