{"id":"W4206128347","doi":"10.21203/rs.3.rs-39615/v2","title":"Mitigating Implicit Bias in Patient-Clinician Communication in Clinical Encounters: Protocol from the COmmuNity-engaged SimULation Training (CONSULT) Trial","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Protocol (science); Training (meteorology); Simulation training; Clinical trial; Psychology; Medical education; Applied psychology; Computer science; Medicine; Alternative medicine; Simulation; Internal medicine","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":[0.0207893,0.003190552,0.00335748,0.001453422,0.002512818,0.002783493,0.002332915,0.004872235,0.04598249],"category_scores_gemma":[0.03835306,0.002106902,0.003427184,0.001593411,0.002160701,0.003102953,0.001712233,0.005782075,0.006144046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002970606,"about_ca_system_score_gemma":0.01099749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002323715,"about_ca_topic_score_gemma":0.003400143,"domain_scores_codex":[0.9814387,0.01272552,0.002163807,0.001306369,0.001236867,0.001128701],"domain_scores_gemma":[0.9879211,0.004231917,0.002822932,0.001728949,0.001820698,0.001474355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8717192,0.01640915,0.002203086,0.01283785,0.002576118,0.0002429686,0.0006467747,0.001608649,0.001141271,0.00521289,0.04362454,0.04177742],"study_design_scores_gemma":[0.9366715,0.0220945,0.003552297,0.003051987,0.001185385,0.0000780101,0.0002256148,0.00167091,0.001007478,0.003749192,0.02659581,0.0001172664],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.008940687,0.0004591541,0.00190413,0.0009675086,0.0005763968,0.9808568,0.003334438,0.0001047068,0.002856209],"genre_scores_gemma":[0.008214838,0.000117129,0.001791084,0.0003639657,0.00005516836,0.9887734,0.0002507468,0.000005782462,0.0004278968],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.04598249,"threshold_uncertainty_score":0.1538267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7782170500900715,"score_gpt":0.5762392671979779,"score_spread":0.2019777828920936,"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."}}