{"id":"W4386407008","doi":"10.1002/lary.31033","title":"Training for Awake, Office‐Based Laryngeal Procedures—The Laryngology Fellow's Perspective","year":2023,"lang":"en","type":"article","venue":"The Laryngoscope","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Laryngology; Perspective (graphical); Training (meteorology); Medicine; Medical education; Psychology; Physical therapy; General surgery; Computer science; Geography; Artificial intelligence; Meteorology","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":[0.001162915,0.0001023853,0.00008524898,0.0003477232,0.001272514,0.0008910716,0.000340764,0.0009056285,0.004950367],"category_scores_gemma":[0.003015868,0.00009493426,0.0001492762,0.0002309132,0.0006821732,0.001115062,0.0009624853,0.001104589,0.0004297628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008682088,"about_ca_system_score_gemma":0.002566482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01030888,"about_ca_topic_score_gemma":0.03571257,"domain_scores_codex":[0.9993432,0.0002003993,0.00003471979,0.00005121786,0.0001510606,0.0002194572],"domain_scores_gemma":[0.9964012,0.0003729411,0.0004565222,0.00002535353,0.0003972452,0.002346878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001540004,0.0006457951,0.6800624,0.0008091655,0.00004544909,0.007141007,0.04623695,0.0003237423,0.004120721,0.00167197,0.03818826,0.2206005],"study_design_scores_gemma":[0.00002782705,0.001477742,0.654188,0.001528832,0.00004456093,0.02105599,0.2075882,0.0003632156,0.0005303731,0.0006632737,0.1124773,0.00005476066],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8889715,0.01108653,0.0005553475,0.07452639,0.001081532,0.00002004294,0.0001175887,0.0000209946,0.02362009],"genre_scores_gemma":[0.983997,0.007006308,0.0003474894,0.005351758,0.0005898786,0.000007925868,0.00004272838,0.000005188403,0.002651629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01030888,"threshold_uncertainty_score":0.0204978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09817767120242599,"score_gpt":0.3651990325021774,"score_spread":0.2670213612997515,"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."}}