{"id":"W3120366003","doi":"10.21203/rs.3.rs-39615/v1","title":"Mitigating Implicit Bias in Patient-Clinician Communication in Clinical Encounters: Early Insights 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":"Training (meteorology); Psychology; Simulation training; Implicit bias; Applied psychology; Medical education; Computer science; Social psychology; Medicine; Simulation; Geography","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":[0.05330671,0.0008804271,0.001066274,0.000442166,0.001733675,0.002166098,0.001839267,0.003079871,0.008775815],"category_scores_gemma":[0.1438134,0.0004050886,0.001439468,0.0005227044,0.002030738,0.002633282,0.002903917,0.004185677,0.000980705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002566869,"about_ca_system_score_gemma":0.009572478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002333279,"about_ca_topic_score_gemma":0.003877146,"domain_scores_codex":[0.9439191,0.04968416,0.001789455,0.00101953,0.002108463,0.00147929],"domain_scores_gemma":[0.9087666,0.0675047,0.007535066,0.00553964,0.00549588,0.005158186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.3585533,0.08512403,0.02414937,0.01459889,0.006036031,0.0003798128,0.01319783,0.002892062,0.001584727,0.007616746,0.02948817,0.456379],"study_design_scores_gemma":[0.4412794,0.3671691,0.05640043,0.02140434,0.009095269,0.0004357531,0.008362406,0.01046604,0.006358569,0.0210328,0.05746288,0.0005330238],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8815159,0.008574492,0.01112121,0.0284785,0.002330606,0.04410039,0.001287623,0.0003846772,0.02220661],"genre_scores_gemma":[0.9558498,0.001767895,0.01142909,0.004450477,0.0007793152,0.02393495,0.0004957722,0.00003431997,0.001258404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05330671,"threshold_uncertainty_score":0.2819162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6775983405333112,"score_gpt":0.5186625723080148,"score_spread":0.1589357682252964,"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."}}