{"id":"W3040129199","doi":"10.1016/j.chest.2020.06.046","title":"Development of Learning Curves for Bronchoscopy","year":2020,"lang":"en","type":"article","venue":"CHEST Journal","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Saskatchewan; University of Manitoba; Western University; University of Ottawa","funders":"Royal College of Physicians and Surgeons of Canada","keywords":"Medicine; Bronchoscopy; Percentile; Competence (human resources); Quantile regression; Internal medicine; Pulmonology; Surgery; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001580145,0.00003845726,0.0001222461,0.00001568083,0.00005664681,0.000005371485,0.00002439487,0.00001895081,0.0003046501],"category_scores_gemma":[0.0003007271,0.00003010118,0.00005033282,0.00005351678,0.00001117662,0.00002434587,0.000006086908,0.000144611,0.000006496634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001245053,"about_ca_system_score_gemma":0.00009130601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.830493e-8,"about_ca_topic_score_gemma":4.969642e-8,"domain_scores_codex":[0.9995651,0.00000770017,0.0001900144,0.00004797538,0.0001114315,0.00007779138],"domain_scores_gemma":[0.9996458,0.00005678564,0.00007437573,0.00001717289,0.00006470052,0.0001411118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001896124,0.0003280136,0.164948,0.004280305,0.0005816936,0.00008025236,0.02400192,0.000794506,0.03693803,0.0003986388,0.003274287,0.7624782],"study_design_scores_gemma":[0.005003694,0.000254505,0.03174559,0.0006445777,0.00005012536,0.00003675932,0.0008901677,0.001998124,0.01419584,0.00002112671,0.9450647,0.00009485714],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9378557,0.001244587,0.04717412,0.005522119,0.0001388104,0.0002127547,5.950064e-7,0.00004535819,0.007806021],"genre_scores_gemma":[0.9716167,0.00003802193,0.02740325,0.0006722329,0.0001743958,0.000001236388,0.00000386911,0.000006796645,0.00008351479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9417903,"threshold_uncertainty_score":0.3335705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1022453002111667,"score_gpt":0.3450148692506635,"score_spread":0.2427695690394969,"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."}}