{"id":"W2780572345","doi":"10.1097/prs.0000000000003957","title":"Teaching Palatoplasty Using a High-Fidelity Cleft Palate Simulator","year":2017,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Palatoplasty; Medicine; High fidelity; Fidelity; Orthodontics; Dentistry; Acoustics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007525184,0.0003077846,0.0007804447,0.0002073784,0.0008915132,0.0001335262,0.0001122475,0.0001863707,0.0006214785],"category_scores_gemma":[0.006684192,0.0002753475,0.0003122764,0.00007584509,0.0003603668,0.000376226,0.00009985271,0.0005905117,0.00006468121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001281919,"about_ca_system_score_gemma":0.0002315554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002357796,"about_ca_topic_score_gemma":0.00001297676,"domain_scores_codex":[0.9977891,0.0001317972,0.0006438544,0.0005483846,0.0003711673,0.0005156535],"domain_scores_gemma":[0.993778,0.004596352,0.0004891635,0.0005706697,0.0001712886,0.0003945089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002712675,0.00006601119,0.9363608,0.0000575681,0.000186935,0.0001513984,0.00008255526,0.0004898364,0.0002445448,0.0005079945,0.000009892863,0.06157117],"study_design_scores_gemma":[0.002125913,0.00002990863,0.9521906,0.0004690069,0.000170278,0.0002187007,0.0001430481,0.04241447,0.0001361575,0.0008571909,0.0008615499,0.0003831987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925696,0.00001313881,0.00165761,0.00007438735,0.00214765,0.0001960258,0.00002927687,0.0001402581,0.003172024],"genre_scores_gemma":[0.9978902,0.000004395158,0.001373146,0.0001086941,0.0004926086,0.000005007576,0.00001625026,0.00004153098,0.00006811131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06118797,"threshold_uncertainty_score":0.9999699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05075449769766286,"score_gpt":0.3113360653859188,"score_spread":0.260581567688256,"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."}}