{"meta":{"query_hash":"1e55d6cf5430","filters":{"venue":"Healthcare Informatics Research"},"cohort_total":14,"direct_labels_cover":0,"predictions_cover":14,"exported":14,"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/1e55d6cf5430","api":"https://metacan.xera.ac/api/v1/cohort?venue=Healthcare+Informatics+Research"},"results":[{"id":"W2155927957","doi":"10.4258/hir.2012.18.2.88","title":"Geographical Information Systems and Health: Current State and Future Directions","year":2012,"lang":"en","type":"article","venue":"Healthcare Informatics Research","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algoma University","funders":"","keywords":"Geographic information system; Health informatics; GIS and public health; GIS applications; Informatics; Current (fluid); Information system; Action (physics); State (computer science); Data science; Health care; Computer science; Environmental planning; Geography; Political science; Engineering; Remote sensing","score_opus":0.10521163225157448,"score_gpt":0.4462978365809015,"score_spread":0.341086204329327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155927957","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":[0.0013114491,0.8203304,0.0033607741,0.16488023,0.0014943328,0.000022209779,0.00009438962,0.00007821236,0.008428061],"genre_scores_gemma":[0.02926099,0.9470145,0.0069909818,0.010434737,0.0051044347,0.00006360973,0.00011890687,0.000027025448,0.0009848983],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99290645,0.004175815,0.0005556137,0.0005725091,0.0013076331,0.0004819463],"domain_scores_gemma":[0.9290357,0.059447642,0.0021956512,0.0013908156,0.0053409333,0.0025893247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024601014,0.0008577703,0.0019482309,0.0055462606,0.0021944668,0.012302756,0.0023062965,0.0080133965,0.012223679],"category_scores_gemma":[0.018044446,0.0006519451,0.001152042,0.011118258,0.012857942,0.027696421,0.0049632974,0.007725227,0.0017796169],"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":[0.00018644225,0.00024098743,0.0050007002,0.008013717,0.00010005264,0.00016269165,0.0019395173,0.0013384264,0.00023295946,0.27553314,0.05109693,0.65615445],"study_design_scores_gemma":[0.000050096634,0.0002371138,0.0047122175,0.014725816,0.00009345476,0.0005654876,0.010944976,0.0019335581,0.00026520458,0.28932053,0.67699677,0.00015475841],"about_ca_topic_score_codex":0.008955636,"about_ca_topic_score_gemma":0.009241422,"teacher_disagreement_score":0.024601014,"about_ca_system_score_codex":0.0059621767,"about_ca_system_score_gemma":0.012229289,"threshold_uncertainty_score":0.13010412},"labels":[],"label_agreement":null},{"id":"W2887513615","doi":"10.4258/hir.2018.24.3.187","title":"Self-management of Chronic Conditions Using mHealth Interventions in Korea: A Systematic Review","year":2018,"lang":"en","type":"review","venue":"Healthcare Informatics Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Aging","funders":"","keywords":"mHealth; Psychological intervention; Medicine; Self-management; Data science; Computer science; Nursing; Artificial intelligence","score_opus":0.42725335101012013,"score_gpt":0.6373068693747974,"score_spread":0.21005351836467728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887513615","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":[0.0029142601,0.99477357,0.00021087045,0.00029953136,0.00011061025,0.0008245093,0.00050277915,0.000015834268,0.00034806534],"genre_scores_gemma":[0.029181657,0.9667286,0.0013394445,0.000581374,0.00007967364,0.0015940953,0.0003587693,0.0000060041993,0.0001304157],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9940462,0.0018946425,0.0024244797,0.00038796628,0.0010638689,0.00018280408],"domain_scores_gemma":[0.9842748,0.010519024,0.0031607219,0.00024116371,0.001541723,0.00026245846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00697596,0.0012678546,0.006292576,0.0097062625,0.0007694223,0.0019129909,0.0016754438,0.0014232987,0.003242824],"category_scores_gemma":[0.025869865,0.0007151892,0.006758372,0.008577692,0.0006309995,0.0019161818,0.0012605151,0.0009808214,0.0001836679],"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":[0.00017145937,0.000055255965,0.0009680723,0.94123477,0.0057113734,0.000068511225,0.00023525512,0.00007673712,0.00012501112,0.00011839528,0.00086248206,0.050372675],"study_design_scores_gemma":[0.0004935684,0.00047252845,0.008736261,0.8989596,0.07628715,0.00031208154,0.00048768488,0.00020891288,0.00032724038,0.00021127169,0.013445035,0.000058777347],"about_ca_topic_score_codex":0.00748131,"about_ca_topic_score_gemma":0.020903097,"teacher_disagreement_score":0.0097062625,"about_ca_system_score_codex":0.0027973412,"about_ca_system_score_gemma":0.013498728,"threshold_uncertainty_score":0.03689289},"labels":[],"label_agreement":null},{"id":"W3048280832","doi":"10.4258/hir.2020.26.3.238","title":"Augmented Reality Application to Develop a Learning Tool for Students: Transforming Cellphones into Flashcards","year":2020,"lang":"en","type":"article","venue":"Healthcare Informatics Research","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Augmented reality; Android (operating system); Computer science; Multimedia; Mobile device; Test (biology); Android application; Human–computer interaction; World Wide Web","score_opus":0.12368592223790605,"score_gpt":0.46904171002817174,"score_spread":0.3453557877902657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048280832","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":[0.14593278,0.0014699881,0.74229693,0.0010607464,0.0007410081,0.0033974617,0.0018955963,0.050465964,0.05273944],"genre_scores_gemma":[0.4022408,0.0016941616,0.52561426,0.0009786105,0.00024926322,0.0024954993,0.0018370878,0.0017013487,0.063189],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994973,0.00010927546,0.0000466982,0.00008611702,0.00019901423,0.000061636565],"domain_scores_gemma":[0.9991627,0.00032632213,0.000052711097,0.00012881457,0.00020136629,0.00012807555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004947508,0.0011861355,0.00041482277,0.00070011336,0.00022495259,0.001299922,0.0010526623,0.00094612775,0.027968628],"category_scores_gemma":[0.0018522191,0.0003189225,0.0007691251,0.00033239918,0.00021623251,0.00093350495,0.0012824684,0.0006933371,0.008219806],"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":[0.0005811783,0.0011293496,0.0033458956,0.0014114763,0.00008002355,0.0023628764,0.0026962413,0.0023683836,0.142948,0.0023181136,0.041312933,0.79944545],"study_design_scores_gemma":[0.0007391235,0.00451198,0.034091096,0.0010701276,0.00045391696,0.008810326,0.0019753617,0.049801014,0.20788604,0.0038663587,0.68631524,0.0004794408],"about_ca_topic_score_codex":0.00032942015,"about_ca_topic_score_gemma":0.0003695907,"teacher_disagreement_score":0.027968628,"about_ca_system_score_codex":0.00015812351,"about_ca_system_score_gemma":0.00033990789,"threshold_uncertainty_score":0.09356433},"labels":[],"label_agreement":null},{"id":"W3098764791","doi":"10.4258/hir.2020.26.4.284","title":"Mortality Prediction from Hospital-Acquired Infections in Trauma Patients Using an Unbalanced Dataset","year":2020,"lang":"en","type":"article","venue":"Healthcare Informatics Research","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"Shiraz University","keywords":"Medicine; Sampling (signal processing); Support vector machine; Random forest; Cluster analysis; Emergency medicine; Artificial intelligence; Computer science","score_opus":0.29855852215589385,"score_gpt":0.47465419342804643,"score_spread":0.1760956712721526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098764791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988079,0.0001340605,0.002991174,0.00027712304,0.000046998255,0.000078956036,0.008001269,0.000067956506,0.00032346637],"genre_scores_gemma":[0.963301,0.00009870283,0.004321915,0.00006390767,0.00005850833,0.00010875664,0.031893086,0.0000063157368,0.00014783359],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989028,0.00039747034,0.00015816114,0.00028041162,0.00012716836,0.00013401294],"domain_scores_gemma":[0.9965132,0.0013757027,0.0008910631,0.00037503388,0.0005829402,0.00026208314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002393807,0.00070767576,0.00067379675,0.0014206168,0.00035133323,0.0005384219,0.0006523006,0.0005772567,0.0008606152],"category_scores_gemma":[0.0063405917,0.00018319514,0.00078483083,0.0008567783,0.00022727683,0.0004560813,0.00081841537,0.00070038834,0.00024235551],"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":[0.0016624599,0.00053214823,0.9386225,0.00014124777,0.0003665083,0.00036666036,0.00012162347,0.028035399,0.0016327557,0.00022729124,0.0048929,0.023398554],"study_design_scores_gemma":[0.00018593174,0.0010421877,0.66365606,0.00008203518,0.00023910316,0.00065958773,0.00043051707,0.32792914,0.0018933405,0.0009893278,0.0028340514,0.000058680478],"about_ca_topic_score_codex":0.0032515808,"about_ca_topic_score_gemma":0.0035496561,"teacher_disagreement_score":0.0032515808,"about_ca_system_score_codex":0.00056583335,"about_ca_system_score_gemma":0.00056269916,"threshold_uncertainty_score":0.012659848},"labels":[],"label_agreement":null},{"id":"W3146859693","doi":"","title":"Electronic Health Record: Definition, Categories and Standards","year":2005,"lang":"en","type":"article","venue":"Healthcare Informatics Research","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Health care; Information and Communications Technology; Quality (philosophy); Business; Patient safety; Health information exchange; Knowledge management; Information technology; Process management; Risk analysis (engineering); Medicine; Computer science; Health information; World Wide Web; Economic growth","score_opus":0.18603198961873693,"score_gpt":0.5406251360512221,"score_spread":0.3545931464324852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3146859693","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":[0.010252928,0.32353368,0.25287932,0.053728074,0.0116620185,0.009238277,0.028306138,0.0049905824,0.30540898],"genre_scores_gemma":[0.06878243,0.3088195,0.47468603,0.016296297,0.008351562,0.011932872,0.047047634,0.001331197,0.06275251],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9699972,0.00885583,0.009062084,0.0015578095,0.009605729,0.0009213077],"domain_scores_gemma":[0.96958333,0.012019918,0.0033007318,0.0030551318,0.010957884,0.001083036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010363824,0.0011721373,0.0016678307,0.022877026,0.0019220007,0.010455644,0.004343318,0.0048750103,0.006719074],"category_scores_gemma":[0.028913712,0.00066427863,0.0011575955,0.027348839,0.004763955,0.009654511,0.003901957,0.003393252,0.00964103],"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":[0.0001339475,0.00012198408,0.0028436086,0.010775596,0.00006705661,0.0006814187,0.0027663887,0.0012024951,0.0022229215,0.26458424,0.15756954,0.55703074],"study_design_scores_gemma":[0.000016315174,0.00005048311,0.0023245309,0.0048236763,0.000029104642,0.0016862396,0.0009863855,0.00062120083,0.00049642485,0.035160154,0.95374423,0.0000612465],"about_ca_topic_score_codex":0.00366678,"about_ca_topic_score_gemma":0.0018264271,"teacher_disagreement_score":0.022877026,"about_ca_system_score_codex":0.0038646408,"about_ca_system_score_gemma":0.008904374,"threshold_uncertainty_score":0.05480975},"labels":[],"label_agreement":null},{"id":"W3160710436","doi":"10.4258/hir.2021.27.2.146","title":"Histoscope: A Web-Based Microscopy Tool for Oral Histology Education","year":2021,"lang":"en","type":"article","venue":"Healthcare Informatics Research","topic":"AI in cancer detection","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Digital microscope; Virtual microscopy; Computer science; Histology; Microscope; Context (archaeology); Digital pathology; Multimedia; Microscopy; Telepathology; Artificial intelligence; World Wide Web; Pathology; Medicine; Biology","score_opus":0.0987787863363113,"score_gpt":0.4575919637239345,"score_spread":0.3588131773876232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160710436","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":[0.03510313,0.0017718725,0.5345813,0.0012227825,0.00042941145,0.0024465858,0.014941107,0.37913296,0.030370822],"genre_scores_gemma":[0.11350812,0.0027939545,0.7413711,0.001970175,0.00039325526,0.005028888,0.02326675,0.028026296,0.08364153],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995228,0.00009837862,0.000043687152,0.00007154079,0.00022141778,0.000042212563],"domain_scores_gemma":[0.9966754,0.0018425933,0.00019291483,0.00029971986,0.00048083195,0.00050855015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012898607,0.0015423747,0.00066616596,0.0023468046,0.00046360985,0.0014910196,0.0018117264,0.0011854904,0.07103042],"category_scores_gemma":[0.0036618817,0.00055452087,0.00070227945,0.00078697345,0.00030954008,0.0017538295,0.0021648,0.0010803163,0.019673198],"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":[0.00084495253,0.0012195215,0.0048590936,0.002105259,0.000079826874,0.0017294786,0.0013215656,0.001418378,0.04953543,0.0022241026,0.21584652,0.71881586],"study_design_scores_gemma":[0.0010236382,0.001254025,0.038142413,0.0018624075,0.00023619193,0.0075849597,0.0010154407,0.035697006,0.077962786,0.011651014,0.8231078,0.0004623514],"about_ca_topic_score_codex":0.00050768326,"about_ca_topic_score_gemma":0.0009415218,"teacher_disagreement_score":0.07103042,"about_ca_system_score_codex":0.00036502132,"about_ca_system_score_gemma":0.0007817146,"threshold_uncertainty_score":0.23762041},"labels":[],"label_agreement":null},{"id":"W3213412328","doi":"10.4258/hir.2021.27.4.335","title":"Developing an Interactive Computer Program for Integrated Dental Education","year":2021,"lang":"en","type":"article","venue":"Healthcare Informatics Research","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Health; University of Alberta","funders":"","keywords":"Interactivity; Pace; Computer science; Medical education; Computer graphics; Relevance (law); Medicine; Multimedia; Artificial intelligence","score_opus":0.08186857001548946,"score_gpt":0.46747042292067814,"score_spread":0.38560185290518867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213412328","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":[0.10543761,0.00025090235,0.84894854,0.0004652601,0.00021697622,0.0029710329,0.00078416755,0.019673394,0.021252193],"genre_scores_gemma":[0.10178271,0.00018666974,0.88578427,0.000113658214,0.0000487751,0.0019978068,0.00081835466,0.0005406204,0.008727094],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995214,0.00011630762,0.000030064806,0.00009398734,0.0001735802,0.00006465443],"domain_scores_gemma":[0.9985233,0.00082067645,0.00004805183,0.00013639918,0.00023294025,0.00023862076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011014652,0.0007251695,0.00026799567,0.0007750172,0.00028292902,0.00078246964,0.0013696162,0.0005491289,0.021858688],"category_scores_gemma":[0.0028777022,0.00024651753,0.0005488142,0.00045351393,0.0002678166,0.0007746063,0.0013732055,0.0006314372,0.0028644975],"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":[0.00055629783,0.0018074572,0.005444139,0.00050824066,0.00003885135,0.0005675826,0.0013312027,0.0074017863,0.04941954,0.004642707,0.022161242,0.90612096],"study_design_scores_gemma":[0.0019991845,0.010319212,0.03480568,0.00066342903,0.00046395135,0.0068538077,0.0015184919,0.18291461,0.15695924,0.014157561,0.58894116,0.0004036507],"about_ca_topic_score_codex":0.00061792077,"about_ca_topic_score_gemma":0.0007381095,"teacher_disagreement_score":0.021858688,"about_ca_system_score_codex":0.00037364935,"about_ca_system_score_gemma":0.0011888332,"threshold_uncertainty_score":0.07312459},"labels":[],"label_agreement":null},{"id":"W4229450004","doi":"10.4258/hir.2022.28.2.170","title":"Implementing Augmented Reality to Facilitate the Learning of Oral Histology","year":2022,"lang":"en","type":"article","venue":"Healthcare Informatics Research","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Augmented reality; Computer science; Histology; Medicine; Multimedia; Human–computer interaction; Pathology","score_opus":0.3362332878508852,"score_gpt":0.47227229400016724,"score_spread":0.13603900614928205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229450004","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":[0.16894515,0.0011259412,0.7990172,0.0007776722,0.00040905323,0.00088232715,0.00041614994,0.0118395705,0.016586946],"genre_scores_gemma":[0.42152673,0.00078908785,0.56872094,0.00035097185,0.000076194396,0.0005252211,0.00035458748,0.00038255792,0.007273718],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99904233,0.00023637056,0.00006781255,0.0001506434,0.00038192593,0.00012093276],"domain_scores_gemma":[0.997951,0.0011041237,0.0001514508,0.00032990577,0.0003340656,0.00012949639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008425247,0.00088552263,0.0003313301,0.0006869412,0.00030842275,0.0016177247,0.001474836,0.0010362348,0.0110500455],"category_scores_gemma":[0.0038629523,0.0005859366,0.0010667939,0.0002663595,0.00034603762,0.0010132432,0.0022654997,0.0007106443,0.0018989914],"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":[0.000754544,0.0012072601,0.006701403,0.0017254405,0.00012893329,0.0018656355,0.003522147,0.015675684,0.22637413,0.004632007,0.009650705,0.72776216],"study_design_scores_gemma":[0.0008078991,0.007845436,0.039922714,0.001071472,0.0007068799,0.008803062,0.002614407,0.2482751,0.38914013,0.0080451425,0.29209223,0.000675602],"about_ca_topic_score_codex":0.00082115113,"about_ca_topic_score_gemma":0.0013089922,"teacher_disagreement_score":0.0110500455,"about_ca_system_score_codex":0.00027087168,"about_ca_system_score_gemma":0.00072288973,"threshold_uncertainty_score":0.036966085},"labels":[],"label_agreement":null},{"id":"W4308384324","doi":"10.4258/hir.2022.28.4.387","title":"Development of a Secondary Dental-Specific Database for Active Learning of Genetics in Dentistry Programs","year":2022,"lang":"en","type":"article","venue":"Healthcare Informatics Research","topic":"dental development and anomalies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Dentistry; Computer science; Medicine; Database","score_opus":0.09856417348631881,"score_gpt":0.39317317210362895,"score_spread":0.29460899861731016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308384324","genre_codex":"dataset","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":[0.040810414,0.0011415952,0.28388518,0.0030309525,0.00068425917,0.009015422,0.37477994,0.22381784,0.062834375],"genre_scores_gemma":[0.069249034,0.0009653635,0.4237265,0.0009728673,0.00023147036,0.005068158,0.46980122,0.011389099,0.018596228],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99683666,0.00059467705,0.000971786,0.00062504597,0.0007797971,0.00019201262],"domain_scores_gemma":[0.9747866,0.010070636,0.0016547672,0.004500192,0.0061387965,0.002849007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008129556,0.0011582822,0.0014362507,0.010067536,0.0010585322,0.0038532438,0.004373674,0.0012282062,0.03982435],"category_scores_gemma":[0.022036374,0.0009071978,0.0011813984,0.006392784,0.0003719504,0.0037418297,0.0037636436,0.0020329142,0.023129007],"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":[0.0014464145,0.0014845286,0.013669529,0.0035211772,0.00015696856,0.0010776275,0.0022382967,0.002830225,0.0129223075,0.008523545,0.37344202,0.5786873],"study_design_scores_gemma":[0.00083286245,0.0006684124,0.018864784,0.0010557314,0.00030419856,0.0011922684,0.0012822477,0.017402736,0.032421377,0.0082112355,0.91747653,0.0002876454],"about_ca_topic_score_codex":0.0031940492,"about_ca_topic_score_gemma":0.0031247134,"teacher_disagreement_score":0.03982435,"about_ca_system_score_codex":0.0016565573,"about_ca_system_score_gemma":0.0049777706,"threshold_uncertainty_score":0.13322568},"labels":[],"label_agreement":null},{"id":"W4391648461","doi":"10.4258/hir.2024.30.1.49","title":"Technological Challenges and Solutions in Emergency Remote Teaching for Nursing: An International Cross-Sectional Survey","year":2024,"lang":"en","type":"article","venue":"Healthcare Informatics Research","topic":"E-Learning and COVID-19","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fraser Health; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Cross-sectional study; Medicine; Nursing; Data science; Computer science; Pathology","score_opus":0.5118465664194453,"score_gpt":0.5984885317557821,"score_spread":0.08664196533633683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391648461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99798834,0.00019626839,0.00019971786,0.00026646818,0.00000801401,0.000051678355,0.00020440882,0.0000035319008,0.0010815093],"genre_scores_gemma":[0.997869,0.00059004413,0.00034202,0.00034066645,0.000011683521,0.00012886329,0.00023037876,0.0000051079887,0.00048227675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838483,0.00062654016,0.00023167403,0.00015264764,0.00030217489,0.00030203714],"domain_scores_gemma":[0.9942187,0.0018172156,0.0021300877,0.00017711526,0.00072719884,0.000929725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034597276,0.00016026072,0.00027614526,0.00094959565,0.000635458,0.0011459684,0.0003153004,0.00063363067,0.0023964925],"category_scores_gemma":[0.007906341,0.0003331482,0.00026017975,0.0010478416,0.0004839081,0.0016407742,0.0014915705,0.0009985123,0.0006053572],"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":[0.00003303957,0.00031466698,0.95977366,0.00020628278,0.000018207977,0.00032048117,0.023191094,0.00008026882,0.00037501578,0.00013038101,0.0010172896,0.014539569],"study_design_scores_gemma":[0.00000490118,0.00037963214,0.8759614,0.00023829973,0.000016198092,0.0010012855,0.11645605,0.00027894808,0.00023647322,0.000068688205,0.005334547,0.000023530916],"about_ca_topic_score_codex":0.0016943695,"about_ca_topic_score_gemma":0.0027154568,"teacher_disagreement_score":0.0034597276,"about_ca_system_score_codex":0.0005469386,"about_ca_system_score_gemma":0.0008674766,"threshold_uncertainty_score":0.018296957},"labels":[],"label_agreement":null},{"id":"W4404126729","doi":"10.4258/hir.2024.30.4.297","title":"Pain Management in Cancer Patients: The Effectiveness of Digital Game-based Interventions: A Rapid Literature Review","year":2024,"lang":"en","type":"article","venue":"Healthcare Informatics Research","topic":"Pediatric Pain Management Techniques","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Psychological intervention; Biopsychosocial model; Distraction; Cancer pain; Medicine; Quality of life (healthcare); Scopus; eHealth; Health care; MEDLINE; Applied psychology; Cancer; Psychology; Nursing; Psychiatry","score_opus":0.07580617946035127,"score_gpt":0.4644945300609039,"score_spread":0.3886883506005526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404126729","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":[0.0003183041,0.9988852,0.0000636113,0.00026150566,0.00009166275,0.0000714379,0.00005437332,0.0000037213838,0.00025020196],"genre_scores_gemma":[0.0031059063,0.9958626,0.00034688791,0.00033527473,0.00009326773,0.00012682282,0.00005801379,0.0000027487645,0.000068561494],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9968534,0.000844252,0.0011948039,0.00027537864,0.0007171404,0.00011502886],"domain_scores_gemma":[0.97678703,0.018616378,0.002056938,0.00022045446,0.002080993,0.00023826741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005016999,0.0012920838,0.0047381385,0.011161431,0.0005426345,0.0025796292,0.0016707057,0.0021873158,0.0037443354],"category_scores_gemma":[0.020354649,0.00075422163,0.004103205,0.00817564,0.00065669167,0.0025858558,0.0014001436,0.0015662309,0.00047485202],"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":[0.00018931842,0.00010737168,0.00044524446,0.5506671,0.0014507071,0.000109058165,0.00019981188,0.00016965538,0.00034319705,0.0005567032,0.003880054,0.4418818],"study_design_scores_gemma":[0.00014878673,0.0005733806,0.0052513024,0.89754856,0.011183559,0.0006848454,0.00046950334,0.00022683591,0.00033902886,0.0007455943,0.08278117,0.00004745634],"about_ca_topic_score_codex":0.0031885777,"about_ca_topic_score_gemma":0.008588652,"teacher_disagreement_score":0.011161431,"about_ca_system_score_codex":0.0026619455,"about_ca_system_score_gemma":0.0064511215,"threshold_uncertainty_score":0.02653271},"labels":[],"label_agreement":null},{"id":"W4407344536","doi":"10.4258/hir.2025.31.1.96","title":"Interactive Engagement with Self-Paced Learning Content in a Didactic Course","year":2025,"lang":"en","type":"article","venue":"Healthcare Informatics Research","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":3,"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 Alberta","funders":"","keywords":"Student engagement; Summative assessment; Medical education; Curriculum; Interactive Learning; Computer science; Psychology; Multimedia; Medicine; Mathematics education; Formative assessment; Pedagogy","score_opus":0.15831760229870892,"score_gpt":0.49959992758654814,"score_spread":0.3412823252878392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407344536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9686575,0.0000705017,0.021499151,0.00011468433,0.000040354465,0.00089411484,0.00018470468,0.0007852757,0.007753753],"genre_scores_gemma":[0.93388915,0.000107332206,0.058935262,0.0001096419,0.000047015437,0.0009016837,0.00044769957,0.00010364809,0.005458687],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983847,0.0006612119,0.00010981412,0.00024016375,0.00042467084,0.00017944186],"domain_scores_gemma":[0.9917385,0.005516072,0.0006801524,0.000753189,0.00045794997,0.0008541638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022717363,0.0005613752,0.00024149998,0.00070564024,0.0003378802,0.0014646525,0.000756709,0.00050254865,0.007906936],"category_scores_gemma":[0.009362464,0.00016890478,0.00044034867,0.00036050324,0.00036859157,0.0007460358,0.0018851362,0.0005279703,0.0015479759],"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":[0.001901255,0.01901225,0.1105591,0.002123696,0.00012698463,0.0013161623,0.016546613,0.0044335052,0.112076454,0.0017256136,0.0070396475,0.7231387],"study_design_scores_gemma":[0.0011197241,0.037585508,0.61328834,0.0009851524,0.00042181564,0.0034799613,0.0068749217,0.022075983,0.20054145,0.0049098283,0.10841611,0.00030123704],"about_ca_topic_score_codex":0.0001304001,"about_ca_topic_score_gemma":0.0002939908,"teacher_disagreement_score":0.007906936,"about_ca_system_score_codex":0.00038193475,"about_ca_system_score_gemma":0.0005915919,"threshold_uncertainty_score":0.02645135},"labels":[],"label_agreement":null},{"id":"W4410188329","doi":"10.4258/hir.2025.31.2.125","title":"Developing an Explainable Artificial Intelligence System for the Mobile-Based Diagnosis of Febrile Diseases Using Random Forest, LIME, and GPT","year":2025,"lang":"en","type":"article","venue":"Healthcare Informatics Research","topic":"Explainable Artificial Intelligence (XAI)","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":"Mount Royal University","funders":"","keywords":"Random forest; Computer science; Artificial intelligence; Medicine; Bioinformatics; Biology","score_opus":0.2056067041650366,"score_gpt":0.4477474518351457,"score_spread":0.2421407476701091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410188329","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":[0.048198123,0.00025381762,0.93117034,0.0009056073,0.000059793678,0.0003013302,0.00070871453,0.0165329,0.001869305],"genre_scores_gemma":[0.5506639,0.00026672278,0.44482303,0.0005002164,0.000054314907,0.00029208502,0.0016300894,0.00021194205,0.001557737],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995828,0.00011222244,0.000035118715,0.00014276704,0.00009059365,0.00003641891],"domain_scores_gemma":[0.9984578,0.0010332454,0.00012643324,0.00013215927,0.00021101015,0.00003933751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011821897,0.0008952765,0.00041530232,0.0009110026,0.0002745612,0.00085507124,0.0010881522,0.00097285624,0.002285831],"category_scores_gemma":[0.004867496,0.00030219567,0.0012474189,0.00036532016,0.00038818616,0.0011963118,0.0008601631,0.0009839268,0.00061749987],"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":[0.0006217004,0.00043755374,0.035494376,0.00084619893,0.0004237302,0.0024039398,0.0009544506,0.33041176,0.02569424,0.015718052,0.010072613,0.57692146],"study_design_scores_gemma":[0.000036397152,0.00009391717,0.001687843,0.00003554703,0.000075008014,0.00030259902,0.000042212818,0.98143274,0.005390035,0.007992085,0.0028885533,0.00002307022],"about_ca_topic_score_codex":0.0039384365,"about_ca_topic_score_gemma":0.005409888,"teacher_disagreement_score":0.0039384365,"about_ca_system_score_codex":0.0006387819,"about_ca_system_score_gemma":0.00088890066,"threshold_uncertainty_score":0.007831037},"labels":[],"label_agreement":null},{"id":"W4413259220","doi":"10.4258/hir.2025.31.3.284","title":"Machine Learning-Based Age Prediction with Feature Subset Selection from Magnetic Resonance Angiography Data","year":2025,"lang":"en","type":"article","venue":"Healthcare Informatics Research","topic":"Retinal Imaging and Analysis","field":"Medicine","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":"Artificial Intelligence in Medicine (Canada)","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science and ICT, South Korea; National Research Foundation of Korea; Ministry of Education; National Research Foundation","keywords":"Random forest; Feature selection; Tortuosity; Artificial intelligence; Feature (linguistics); Pattern recognition (psychology); Linear regression; Pearson product-moment correlation coefficient; Computer science; Magnetic resonance imaging; AdaBoost; Magnetic resonance angiography; Statistics; Mathematics; Machine learning; Medicine; Radiology; Support vector machine","score_opus":0.05907084053323545,"score_gpt":0.39084889792456284,"score_spread":0.3317780573913274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413259220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7627802,0.0014621401,0.23168774,0.00037561927,0.00010448353,0.00017672764,0.0011781388,0.0015770486,0.00065791036],"genre_scores_gemma":[0.9611737,0.00015976984,0.03686291,0.00005634885,0.000058684684,0.00011216346,0.0012655214,0.00002496736,0.00028604356],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993331,0.00026982196,0.00006534189,0.0001508962,0.00010527926,0.00007561287],"domain_scores_gemma":[0.99759066,0.0014900403,0.00023029803,0.00012647049,0.00048827985,0.00007420027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00294609,0.0010798712,0.001064348,0.0014963255,0.00026584195,0.0005804697,0.0005759298,0.0005447325,0.00050168094],"category_scores_gemma":[0.0049774544,0.00016875457,0.001041637,0.0007164976,0.00017755627,0.0005305922,0.00036897726,0.0005960611,0.00033947086],"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":[0.0014664409,0.000823948,0.14638622,0.00020905728,0.00058587414,0.00043564095,0.00017580565,0.38282895,0.013233544,0.0003064766,0.004114471,0.44943354],"study_design_scores_gemma":[0.000028465505,0.00027678697,0.015450134,0.000021046193,0.00009129738,0.00011872816,0.000030559713,0.9801294,0.0031456412,0.000349043,0.0003422803,0.000016699316],"about_ca_topic_score_codex":0.0033421682,"about_ca_topic_score_gemma":0.0021192771,"teacher_disagreement_score":0.0033421682,"about_ca_system_score_codex":0.00032541476,"about_ca_system_score_gemma":0.0007114618,"threshold_uncertainty_score":0.015580595},"labels":[],"label_agreement":null}]}