{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001533366,0.0001223721,0.0002935531,0.00006608084,0.00006168387,0.000006449311,0.00006887875,0.0001642473,0.002079785],"category_scores_gemma":[0.0002882791,0.0000769238,0.00008904143,0.0001104902,0.0001248762,0.00006255521,0.00004004404,0.0001058353,0.0003119598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003967324,"about_ca_system_score_gemma":0.00005183953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003698319,"about_ca_topic_score_gemma":0.000006923606,"domain_scores_codex":[0.9990249,0.00003394947,0.0002394254,0.0002798577,0.000150263,0.0002716282],"domain_scores_gemma":[0.9990827,0.0003019815,0.00005230666,0.0002765473,0.00009978365,0.0001866924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00188029,0.001016418,0.6086494,0.0001631503,0.000417032,0.00112823,0.0003119248,0.0001406348,0.2738292,0.04727356,0.0007439588,0.06444623],"study_design_scores_gemma":[0.01258918,0.0002243784,0.8528926,0.00009157038,0.00006931012,0.0003930903,0.0000239968,0.00106396,0.004446688,0.0005884377,0.1273268,0.0002899893],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879066,0.00006405302,0.003245528,0.002060683,0.000274628,0.0001704233,0.00001058147,0.0001399506,0.006127548],"genre_scores_gemma":[0.9969112,0.000007845208,0.0007037541,0.001443397,0.0002137765,0.000008863825,0.000009301001,0.00001937872,0.0006824625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2693825,"threshold_uncertainty_score":0.9988325,"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."}}