{"id":"W1992176820","doi":"10.1097/00129234-200507000-00003","title":"Implementing a Predictive Modeling Program, Part 1","year":2005,"lang":"en","type":"article","venue":"Lippincott s Case Management","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"CARE Canada","funders":"","keywords":"Intervention (counseling); Process (computing); Process management; Event (particle physics); Computer science; Risk analysis (engineering); Operations management; Medicine; Engineering; Nursing; Programming language","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":[0.008609563,0.0008043028,0.0004951879,0.001030418,0.001244469,0.003405409,0.001622505,0.001007003,0.01987099],"category_scores_gemma":[0.02330444,0.0005512436,0.0005069173,0.001039368,0.0006621586,0.002061601,0.001439704,0.001893754,0.005258208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500312,"about_ca_system_score_gemma":0.00855634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005735082,"about_ca_topic_score_gemma":0.005366675,"domain_scores_codex":[0.996204,0.001796992,0.000131185,0.000326982,0.001289021,0.0002518767],"domain_scores_gemma":[0.9922151,0.004336498,0.0005458866,0.001361639,0.001267181,0.0002737295],"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":[0.0001406573,0.001272894,0.007720623,0.0002525527,0.00003645191,0.000124368,0.0007810123,0.02754723,0.002544307,0.02851766,0.04989225,0.8811699],"study_design_scores_gemma":[0.0004014297,0.001740491,0.0293471,0.0009936196,0.0002054406,0.0003891143,0.002002305,0.386308,0.02859024,0.1091762,0.4406185,0.0002274673],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04970375,0.0003087415,0.8107144,0.0108813,0.0003670369,0.006320385,0.001326744,0.01750281,0.1028749],"genre_scores_gemma":[0.2133727,0.000715946,0.7369962,0.0016089,0.0002155815,0.004283869,0.002018512,0.00093265,0.03985564],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01987099,"threshold_uncertainty_score":0.06647509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4212503746711546,"score_gpt":0.6264408159157777,"score_spread":0.2051904412446232,"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."}}