{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008974892,0.0002101338,0.0003589511,0.0001103956,0.0004812079,0.00003874491,0.0002367762,0.0001248968,0.0003040208],"category_scores_gemma":[0.0008693828,0.0001188406,0.0002250234,0.0007472949,0.0002282479,0.00005898835,0.00005279851,0.000357664,0.0002468418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006000216,"about_ca_system_score_gemma":0.0003053122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004352071,"about_ca_topic_score_gemma":0.00007119663,"domain_scores_codex":[0.9983885,0.0001236783,0.0002722416,0.0003616242,0.0002980663,0.0005559105],"domain_scores_gemma":[0.9978243,0.001418526,0.00008877366,0.0003632172,0.0001728209,0.000132334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.03239022,0.003481011,0.0468699,0.002740372,0.006508393,0.002003314,0.1553279,0.02221846,0.0159163,0.3572581,0.1913121,0.163974],"study_design_scores_gemma":[0.0238534,0.001562185,0.1454886,0.0004169758,0.0008666851,0.0001743037,0.02162005,0.1078867,0.001345174,0.005660278,0.6901695,0.0009562021],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8462014,0.0006385287,0.0009913603,0.0691077,0.0006642014,0.003244235,0.00005430438,0.001093009,0.07800529],"genre_scores_gemma":[0.9874014,0.0000172512,0.0001961821,0.008325969,0.0005260776,0.0002115195,0.00009073546,0.00005484682,0.003175972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4988573,"threshold_uncertainty_score":0.4846178,"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."}}