{"id":"W2108504824","doi":"10.1016/j.cmpb.2009.09.010","title":"Interactive computer-based simulator for training in blade navigation and targeting in myringotomy","year":2009,"lang":"en","type":"article","venue":"Computer Methods and Programs in Biomedicine","topic":"Ear Surgery and Otitis Media","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Simulation; Myringotomy; Computer science; Virtual reality; Software; Eardrum; Otorhinolaryngology; Computer graphics; Artificial intelligence; Medicine; Surgery; Middle ear; Operating system","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":[0.001611846,0.0001829352,0.0005527167,0.0004259885,0.00002836799,0.00002566665,0.00004855972,0.0001190197,0.000002309398],"category_scores_gemma":[0.00009694489,0.0001575129,0.00003981844,0.0004721867,0.0001071428,0.00008985878,0.00002566138,0.0003008271,1.494306e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004530664,"about_ca_system_score_gemma":0.0000432947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002638875,"about_ca_topic_score_gemma":0.000005223186,"domain_scores_codex":[0.9985021,0.0001958158,0.0004886682,0.0003831957,0.0001095316,0.0003207059],"domain_scores_gemma":[0.998854,0.0007681567,0.00009639767,0.0001037299,0.00004159138,0.000136064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001889842,0.0001531107,0.057957,0.0001804172,0.000009206115,0.00009284238,0.003820128,0.00005131113,0.0009400339,0.00004426457,0.00001825906,0.9365444],"study_design_scores_gemma":[0.009876151,0.002999548,0.3016875,0.004844034,0.00003252144,0.0000668018,0.000620126,0.672777,0.000655941,0.001498455,0.004579527,0.0003623706],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7715864,0.0006991957,0.2254389,0.0009656613,0.0003890935,0.0008682198,0.000001001709,0.00003722663,0.00001434337],"genre_scores_gemma":[0.5805199,0.00001802223,0.4185638,0.0005395722,0.0002723794,0.00002310172,0.00005178198,0.000009214617,0.000002178369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9361821,"threshold_uncertainty_score":0.642319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06103494796072022,"score_gpt":0.3941634526133805,"score_spread":0.3331285046526603,"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."}}