{"id":"W4403193483","doi":"10.5334/pme.1081","title":"Sharing Is Caring: Helping Institutions and Health Organizations Leverage Data for Educational Improvement","year":2024,"lang":"en","type":"article","venue":"Perspectives on Medical Education","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Saskatchewan; University of Calgary","funders":"","keywords":"Leverage (statistics); Knowledge management; Data sharing; Medical education; Data science; Computer science; Public relations; Medicine; Alternative medicine; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2502338,0.00162612,0.001595497,0.00874992,0.02765298,0.04907455,0.01135762,0.01645591,0.007757673],"category_scores_gemma":[0.2733705,0.001826707,0.003465697,0.009666651,0.03842262,0.07796528,0.08332451,0.01806818,0.002733333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01586637,"about_ca_system_score_gemma":0.09913844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01094272,"about_ca_topic_score_gemma":0.01189275,"domain_scores_codex":[0.7166687,0.21981,0.01424804,0.009491505,0.02612312,0.01365882],"domain_scores_gemma":[0.6603516,0.2014751,0.02309146,0.05376421,0.02659992,0.0347177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001140568,0.0007330602,0.02413015,0.001479131,0.0002639744,0.001101809,0.2746405,0.001333819,0.0008203068,0.1666647,0.110511,0.4182075],"study_design_scores_gemma":[0.0000835856,0.0004151665,0.005137532,0.003679968,0.0001473565,0.0008997926,0.3240017,0.002371271,0.001116973,0.3018789,0.3600078,0.0002598847],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.03012192,0.003051931,0.1047142,0.8019979,0.002448533,0.001113824,0.0002037123,0.0009757994,0.05537213],"genre_scores_gemma":[0.5734982,0.00780114,0.3227218,0.07840693,0.00219223,0.001727073,0.0007850674,0.0006977807,0.01216971],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2502338,"threshold_uncertainty_score":0.9245952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1398730768909739,"score_gpt":0.527886820639808,"score_spread":0.3880137437488341,"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."}}