{"id":"W2954150465","doi":"10.1017/s0022215119001257","title":"An endoscopic Ear Trainer for the low-resource setting","year":2019,"lang":"en","type":"article","venue":"The Journal of Laryngology & Otology","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Trainer; Otology; Task (project management); Medicine; Resource (disambiguation); Audiology; Medical physics; Physical medicine and rehabilitation; Surgery; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001289609,0.00009809755,0.0003444165,0.00006840804,0.0001095803,0.000005507925,0.0002304334,0.0001209135,0.0008779596],"category_scores_gemma":[0.0002094818,0.00004680754,0.0001344865,0.00008202381,0.0001672078,0.00004427717,0.00001987794,0.0004190192,0.00002341145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001423611,"about_ca_system_score_gemma":0.00005542019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003310297,"about_ca_topic_score_gemma":0.000003101917,"domain_scores_codex":[0.9988767,0.0002938391,0.0003663818,0.00009120211,0.0001183006,0.0002535824],"domain_scores_gemma":[0.9969568,0.002376099,0.0002533133,0.0002336558,0.0001010851,0.00007906392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02127082,0.00154,0.6184967,0.0004000309,0.004338945,0.0007892909,0.02604921,0.01491357,0.0890284,0.02537325,0.005113632,0.1926861],"study_design_scores_gemma":[0.03493014,0.008036746,0.5973345,0.0001518491,0.001531521,0.009294249,0.005872096,0.02655753,0.003285404,0.001899317,0.3107387,0.0003679414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868439,0.000496899,0.0008904749,0.009175089,0.0002927594,0.0003341834,0.000001369615,0.00001408883,0.001951228],"genre_scores_gemma":[0.9915695,0.00001280949,0.0002440044,0.007577617,0.0003635826,0.000003405997,0.000002825004,0.00001503893,0.0002112397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3056251,"threshold_uncertainty_score":0.9613042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663334460922924,"score_gpt":0.3058819823976106,"score_spread":0.2892486377883813,"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."}}