{"id":"W2139007269","doi":"10.12927/hcq.2003.20457","title":"Connecting the Dots: Learning from Each Other in Healthcare","year":2003,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Health Information","funders":"","keywords":"Health care; Best practice; Business; Nursing; Psychology; Public relations; Medical education; Medicine; Knowledge management; Political science; Computer science; Management; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.04951042,0.0008579273,0.001250971,0.002834987,0.02161304,0.03216979,0.003658206,0.01830947,0.02692389],"category_scores_gemma":[0.09113286,0.001509916,0.001056481,0.002817454,0.0348873,0.06935278,0.04088997,0.02330293,0.004697565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008751442,"about_ca_system_score_gemma":0.02697198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007908459,"about_ca_topic_score_gemma":0.01535594,"domain_scores_codex":[0.9296615,0.05714159,0.001105425,0.002473909,0.004947238,0.004670295],"domain_scores_gemma":[0.8856624,0.06787182,0.005191534,0.005903441,0.00860514,0.02676566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001762488,0.0006941832,0.01891699,0.000610878,0.0001580146,0.0008383268,0.2187569,0.001049259,0.0004220563,0.2504062,0.2390317,0.2689393],"study_design_scores_gemma":[0.0001510832,0.0003887998,0.003800201,0.001627316,0.00008731431,0.0002611696,0.2733449,0.001042873,0.0003285794,0.4362597,0.2825591,0.0001489672],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03566511,0.007015766,0.02931645,0.8341376,0.004831592,0.0001579904,0.00008915748,0.0003246934,0.08846173],"genre_scores_gemma":[0.8093998,0.009408544,0.0383702,0.1133341,0.002231241,0.0006226195,0.0001490791,0.000439954,0.02604445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04951042,"threshold_uncertainty_score":0.2618393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06656324124418596,"score_gpt":0.4096985928571006,"score_spread":0.3431353516129146,"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."}}