{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003845944,0.00008149839,0.0001347036,0.0000336629,0.0004738595,0.00004779795,0.0000453676,0.00006041789,0.0003330058],"category_scores_gemma":[0.0002105502,0.0000529269,0.00008792743,0.000126043,0.0001146527,0.00009550087,0.00001711817,0.0002172325,0.00002627087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001706931,"about_ca_system_score_gemma":0.00004341349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004214694,"about_ca_topic_score_gemma":0.0000527923,"domain_scores_codex":[0.9993568,0.00001340108,0.0001696969,0.0001441015,0.000146908,0.0001690828],"domain_scores_gemma":[0.9995086,0.0001716508,0.00004736349,0.000126784,0.00006280978,0.00008274584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002501879,0.0005906345,0.7958987,0.000234355,0.000160785,0.00006008144,0.002641825,0.0005683137,0.1095258,0.03710881,0.0005442824,0.05016445],"study_design_scores_gemma":[0.01343171,0.0004057201,0.7284911,0.0002656892,0.0001911025,0.0005321866,0.0003219488,0.05869567,0.01294226,0.00325988,0.1809949,0.0004678392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771014,0.00002935403,0.001565425,0.0007199639,0.0003704185,0.0003220347,0.000005671042,0.00009528836,0.01979042],"genre_scores_gemma":[0.9959764,0.000001216224,0.001741489,0.0003577676,0.0005866242,0.00003473865,0.00004955497,0.00001294311,0.0012393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1804506,"threshold_uncertainty_score":0.364618,"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."}}