{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001164123,0.000454963,0.0002102424,0.0003048672,0.0007343041,0.0005358063,0.0005474273,0.0003956447,0.01368021],"category_scores_gemma":[0.003785445,0.0001976294,0.0002295306,0.000149597,0.0003039849,0.0005211381,0.001636048,0.0006574362,0.002404749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003995032,"about_ca_system_score_gemma":0.001807595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005766118,"about_ca_topic_score_gemma":0.001711194,"domain_scores_codex":[0.9994732,0.0002413896,0.00003249068,0.00003479683,0.00007338581,0.0001447771],"domain_scores_gemma":[0.9982004,0.000346815,0.0002282614,0.00009901243,0.0002282185,0.0008972423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002163847,0.01621308,0.4386021,0.001749291,0.00004707164,0.01719868,0.01842204,0.001422428,0.05379616,0.0006202365,0.01241595,0.4373493],"study_design_scores_gemma":[0.0007727806,0.05155679,0.7196431,0.001832616,0.000166721,0.0598193,0.04143779,0.006378116,0.02491537,0.0009968402,0.09219409,0.0002864373],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9914119,0.000233436,0.00281788,0.0005703679,0.00006897107,0.0003693183,0.00007193687,0.000102768,0.004353204],"genre_scores_gemma":[0.9797528,0.0004492992,0.01176745,0.0003833908,0.00002961152,0.0003973898,0.00009958974,0.00002073202,0.007099769],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01368021,"threshold_uncertainty_score":0.04576492,"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."}}