{"id":"W2289871752","doi":"10.1177/0194599815625988","title":"Novel High‐Fidelity Peritonsillar Abscess Simulator","year":2016,"lang":"en","type":"article","venue":"Otolaryngology","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Peritonsillar Abscess; Trainer; Medicine; Otorhinolaryngology; Task (project management); Abscess; Medical physics; Surgery; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002435358,0.0007422511,0.0003983701,0.0004765963,0.0003150924,0.0006087425,0.001412899,0.0008901216,0.003357424],"category_scores_gemma":[0.004836951,0.0003422848,0.0006312461,0.0001336985,0.0004295461,0.0006605731,0.001521863,0.0006681418,0.0009419619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005129048,"about_ca_system_score_gemma":0.001186029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000997474,"about_ca_topic_score_gemma":0.001291197,"domain_scores_codex":[0.998975,0.0003224494,0.0000800769,0.0001629231,0.000307378,0.0001522401],"domain_scores_gemma":[0.9971396,0.0007475712,0.0005812151,0.0003113205,0.0003720324,0.0008482768],"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":[0.009124531,0.1177323,0.3751798,0.00182729,0.0005007838,0.003005455,0.009264342,0.05612886,0.1597976,0.00106264,0.004307972,0.2620684],"study_design_scores_gemma":[0.00369663,0.2874986,0.4233886,0.0005149376,0.0004624114,0.01016279,0.00465125,0.1653962,0.07329706,0.001150979,0.02924874,0.0005319644],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876028,0.00003484538,0.01102688,0.00005136031,0.00001644733,0.000587944,0.0001444381,0.00008176643,0.0004534559],"genre_scores_gemma":[0.9646552,0.0001514989,0.03126001,0.00009512377,0.00002497077,0.00121636,0.0005338385,0.0000228703,0.002040088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003357424,"threshold_uncertainty_score":0.01287955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02530876879462152,"score_gpt":0.293781052587092,"score_spread":0.2684722837924705,"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."}}