{"id":"W2607133945","doi":"10.23907/2015.062","title":"The Changing Landscape of Maintenance of Certification: History, Value and Evidence Base, and Future Impact on Forensic Pathology","year":2015,"lang":"en","type":"article","venue":"Academic Forensic Pathology","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Office of the Chief Medical Examiner","funders":"","keywords":"Forensic pathology; Certification; Maintenance of Certification; Scope (computer science); Workforce; Specialty; Medicine; Board certification; Value (mathematics); Pathology; Medical education; Engineering ethics; Residency training; Engineering; Computer science; Political science; Law; Continuing education; Autopsy","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":[0.03050533,0.0003661521,0.0007446461,0.007707217,0.002874129,0.01000394,0.002339018,0.005506377,0.004879512],"category_scores_gemma":[0.1105995,0.0005096792,0.0006752544,0.007920241,0.01659161,0.01377143,0.0031277,0.006502677,0.000504336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01083517,"about_ca_system_score_gemma":0.01656221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01276662,"about_ca_topic_score_gemma":0.02165572,"domain_scores_codex":[0.9877437,0.004964146,0.001593311,0.001580579,0.003538217,0.0005799361],"domain_scores_gemma":[0.7351791,0.207172,0.02061692,0.004215105,0.029337,0.003479824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001362701,0.0001232806,0.02895067,0.0100743,0.0001156901,0.0009556497,0.007520767,0.0005585076,0.0002860808,0.1031517,0.03567729,0.8124499],"study_design_scores_gemma":[0.0000360229,0.0004661889,0.08870374,0.1012767,0.0004065517,0.005713359,0.03945647,0.0009438291,0.001082266,0.08180138,0.6798232,0.0002902882],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01025429,0.773216,0.00117258,0.1993874,0.002675286,0.00002404211,0.0001339739,0.00002152441,0.01311489],"genre_scores_gemma":[0.1685637,0.7952343,0.002045841,0.02667191,0.006354682,0.00003307346,0.0001396938,0.00002294695,0.0009338582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03050533,"threshold_uncertainty_score":0.1613295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1025999097364129,"score_gpt":0.4041664940594474,"score_spread":0.3015665843230345,"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."}}