{"id":"W2067363729","doi":"10.12927/hcpol.2011.22131","title":"Beyond Administrative Data: A Vision for Health Information Systems for Canada","year":2011,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Research Manitoba; Canadian Institute for Health Information; Manitoba Health","funders":"","keywords":"Health care; Knowledge translation; Sociology; Political science; Library science; Public relations; Knowledge management; Law; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001593102,0.0002719859,0.0006639896,0.0002385208,0.001726524,0.00001900318,0.0005175296,0.0002583472,0.00002081635],"category_scores_gemma":[0.0006362907,0.0002459669,0.00006443033,0.0002892099,0.00003457578,0.0007656876,0.0001748246,0.0004306418,0.00003342569],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00312195,"about_ca_system_score_gemma":0.06143519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9363799,"about_ca_topic_score_gemma":0.8740765,"domain_scores_codex":[0.9958948,0.0004192468,0.001549207,0.0003988299,0.0003446798,0.001393192],"domain_scores_gemma":[0.995829,0.0008793896,0.0008771542,0.0009639287,0.0007166922,0.0007338443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004356015,0.00003207379,0.002186599,0.008154906,0.00003057731,7.656427e-7,0.008938026,3.225851e-7,3.715787e-7,0.1203703,0.8455967,0.01425371],"study_design_scores_gemma":[0.001458021,0.0009045802,0.01383657,0.0001943915,0.00001212642,0.000004051679,0.004468484,0.0002061695,0.000001539094,0.001575158,0.9770944,0.0002444794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003215519,0.007083028,0.01423756,0.7983346,0.01568489,0.04263204,0.06615658,0.0007986274,0.05185718],"genre_scores_gemma":[0.4416744,0.001329858,0.008117152,0.5255857,0.004691282,0.005745398,0.01019057,0.0001417955,0.002523886],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.4384589,"threshold_uncertainty_score":0.9999993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2115984769036058,"score_gpt":0.5171999081603246,"score_spread":0.3056014312567188,"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."}}