{"id":"W2810791231","doi":"10.1111/1742-6723.13126","title":"Deliberate clinical inertia: Using meta‐cognition to improve decision‐making","year":2018,"lang":"en","type":"article","venue":"Emergency Medicine Australasia","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Medicine; Nothing; Cognition; Curriculum; Clinical decision making; Inertia; Clinical Practice; Focus (optics); Medical education; Management science; Cognitive psychology; Intensive care medicine; Psychiatry; Nursing; Epistemology; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.009743922,0.0004634443,0.00109338,0.0003562481,0.001162932,0.000007222779,0.0004707539,0.0005650809,0.02765332],"category_scores_gemma":[0.01480896,0.0003554395,0.0002390838,0.001168001,0.000265321,0.0005633869,0.0002836449,0.001765164,0.002511506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001823505,"about_ca_system_score_gemma":0.0006122981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00132802,"about_ca_topic_score_gemma":0.001632796,"domain_scores_codex":[0.9900019,0.002991848,0.003814226,0.00100661,0.0009225756,0.001262841],"domain_scores_gemma":[0.9933144,0.001984849,0.001054019,0.0009636607,0.001797767,0.0008852363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001877739,0.000707638,0.1874299,0.001271368,0.002983795,0.0001014678,0.01698956,0.00001664802,0.01234191,0.001930002,0.6531714,0.1211786],"study_design_scores_gemma":[0.007755069,0.007432163,0.4067618,0.005833124,0.01131892,0.00005683107,0.01509083,0.003116006,0.0006315124,0.02002425,0.5188923,0.003087157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9347457,0.0005193942,0.01351584,0.01700709,0.02244218,0.002114206,0.00003220447,0.0002951013,0.009328229],"genre_scores_gemma":[0.965575,0.0003060321,0.01052556,0.009594687,0.01129356,0.0001839863,0.00001859008,0.0001027502,0.002399862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2193319,"threshold_uncertainty_score":0.9998897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7862743829016908,"score_gpt":0.6562585355309379,"score_spread":0.1300158473707529,"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."}}