{"id":"W2091991845","doi":"10.1177/0194599812451438a39","title":"Multiple Mini Interview for Selection into OTL Residency","year":2012,"lang":"en","type":"article","venue":"Otolaryngology","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inter-rater reliability; Likert scale; Medical education; Reliability (semiconductor); Psychology; Scale (ratio); Selection (genetic algorithm); Otorhinolaryngology; Medical school; Medicine; Rating scale; Computer science; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05225537,0.0006061196,0.0007971476,0.003275154,0.001876524,0.000956257,0.001403337,0.000584478,0.00706208],"category_scores_gemma":[0.06670012,0.0004589321,0.0006725746,0.002111065,0.001229968,0.001165715,0.002775086,0.001552392,0.001610637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003786144,"about_ca_system_score_gemma":0.01277892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008592905,"about_ca_topic_score_gemma":0.0247866,"domain_scores_codex":[0.9577917,0.03223317,0.002946347,0.001258537,0.004030898,0.001739339],"domain_scores_gemma":[0.9606732,0.01504637,0.005249028,0.001782828,0.01516131,0.002087171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00242183,0.001551879,0.159254,0.002518974,0.0001199884,0.00181874,0.1505234,0.001973337,0.03050408,0.007778418,0.06397334,0.577562],"study_design_scores_gemma":[0.0007236293,0.006938756,0.5472704,0.003234337,0.00009257226,0.002339425,0.174665,0.02115869,0.01593124,0.00784553,0.2192279,0.0005725924],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7277696,0.001247584,0.1378279,0.005283065,0.0009627303,0.08075087,0.002812207,0.0005518421,0.04279423],"genre_scores_gemma":[0.6343201,0.001163975,0.2326155,0.001400657,0.000336627,0.1192609,0.001901313,0.0001002196,0.008900632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05225537,"threshold_uncertainty_score":0.2763561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04654300117469413,"score_gpt":0.3266287779930702,"score_spread":0.2800857768183761,"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."}}