{"id":"W2116170773","doi":"10.3122/jabfm.2015.03.140246","title":"Health Information Technology Needs Help from Primary Care Researchers","year":2015,"lang":"en","type":"article","venue":"The Journal of the American Board of Family Medicine","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Alberta","funders":"National Cancer Institute","keywords":"Medicine; Primary care; Health information technology; Information technology; Health care; Best practice; Knowledge management; Nursing; Medical education; Process management; Family medicine; Business; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006183987,0.0001596494,0.0009800058,0.0005108043,0.0003210129,0.00000219277,0.001147025,0.00009530665,0.00000923185],"category_scores_gemma":[0.001529963,0.0000769787,0.00007674904,0.001500982,0.0009170356,0.0001653856,0.0002095088,0.001950359,0.00002503441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001765244,"about_ca_system_score_gemma":0.005629934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02186338,"about_ca_topic_score_gemma":0.0002784715,"domain_scores_codex":[0.9935998,0.00273987,0.00172389,0.00007024173,0.001232102,0.0006341006],"domain_scores_gemma":[0.9925566,0.0011119,0.00409824,0.0007011548,0.001187107,0.0003450102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.003947441,0.0000732234,0.1421449,0.001351372,0.0003653529,0.000004225284,0.1782158,0.0001317647,0.003444055,0.0003602441,0.4493877,0.2205739],"study_design_scores_gemma":[0.004540412,0.006253073,0.1066725,0.003774361,0.0001161966,0.00004384367,0.7027294,0.00004582177,0.00007030097,0.001103652,0.1744851,0.0001654414],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.879226,0.009179345,0.0005897069,0.1051724,0.001415823,0.0008257898,0.0000148279,0.00002946908,0.003546638],"genre_scores_gemma":[0.9815997,0.002109444,0.0005419481,0.01463638,0.000890735,0.00001186963,0.000006039009,0.00002525457,0.0001786106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5245135,"threshold_uncertainty_score":0.9987261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1288188266820779,"score_gpt":0.4514930444838747,"score_spread":0.3226742178017968,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}