{"id":"W2937590025","doi":"10.1177/1073110519840488","title":"Medical Information Commons to Support Learning Healthcare Systems: Examples From Canada","year":2019,"lang":"en","type":"article","venue":"The Journal of Law Medicine & Ethics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Disadvantaged; Health care; Commons; Healthcare system; Medical information; Knowledge management; Public relations; Business; Political science; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004905837,0.0002943919,0.0003014768,0.002445873,0.01298782,0.004586972,0.00143681,0.00142521,0.003740947],"category_scores_gemma":[0.01692449,0.0001847763,0.0004674076,0.005620082,0.006968466,0.00181355,0.005075157,0.001809387,0.0002837735],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08316243,"about_ca_system_score_gemma":0.1479753,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9771211,"about_ca_topic_score_gemma":0.985466,"domain_scores_codex":[0.9926635,0.001860427,0.0001605348,0.000252891,0.001786831,0.003275795],"domain_scores_gemma":[0.9838108,0.005085276,0.0007409959,0.0007464103,0.004737537,0.004879068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003825621,0.0004499736,0.1917338,0.0005889047,0.0001125481,0.003742394,0.0640516,0.02247233,0.001196508,0.5117765,0.06619494,0.1372979],"study_design_scores_gemma":[0.0002765218,0.0002172934,0.18026,0.000761808,0.0001419366,0.0008999452,0.1398745,0.02937983,0.001886894,0.08004374,0.5660114,0.000246255],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6200301,0.002379429,0.009942311,0.06960464,0.0001503444,0.0004156478,0.001454856,0.000244792,0.2957778],"genre_scores_gemma":[0.9859203,0.0007533881,0.003130989,0.001364076,0.00002294961,0.00003906221,0.0002371959,0.00002862888,0.008503456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.995413,"threshold_uncertainty_score":0.6033885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1340549421044047,"score_gpt":0.3383294714869853,"score_spread":0.2042745293825806,"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."}}