{"id":"W2133410409","doi":"10.1002/lary.20957","title":"Creating a cross‐institutional grading scale for temporal bone dissection","year":2010,"lang":"en","type":"article","venue":"The Laryngoscope","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources; National Institute on Deafness and Other Communication Disorders; Ohio State University","keywords":"Temporal bone; Otorhinolaryngology; Grading (engineering); Grading scale; Computer science; Medicine; Medical physics; Surgery; Engineering","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":[0.01942428,0.0004146905,0.0003411065,0.003761824,0.0005182963,0.001054979,0.000984459,0.0004345839,0.002356809],"category_scores_gemma":[0.04027338,0.000179412,0.0008593664,0.001558325,0.0005930035,0.00204105,0.002990722,0.0006916767,0.0005653465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001200411,"about_ca_system_score_gemma":0.002088772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008870232,"about_ca_topic_score_gemma":0.002298003,"domain_scores_codex":[0.9889204,0.004282715,0.002960887,0.0005182288,0.002873736,0.000444005],"domain_scores_gemma":[0.9617756,0.01132751,0.009752401,0.002181555,0.01287294,0.002090001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002324194,0.0006493669,0.8608998,0.0002946902,0.0001258051,0.00007928151,0.001586753,0.001561071,0.002335937,0.0009270795,0.003826452,0.1274813],"study_design_scores_gemma":[0.00009317836,0.001739654,0.9635803,0.0002465215,0.00009148118,0.0004231607,0.005369528,0.01159491,0.003336156,0.001011538,0.01239547,0.0001181218],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9294317,0.0003772864,0.04969897,0.001080822,0.0002748669,0.004184108,0.0012979,0.0003657433,0.01328857],"genre_scores_gemma":[0.9131205,0.0002365591,0.08119196,0.0001730301,0.00005548124,0.002948873,0.001356251,0.00003268586,0.0008845372],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01942428,"threshold_uncertainty_score":0.1027267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02562888694038143,"score_gpt":0.3329715136304114,"score_spread":0.30734262669003,"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."}}