{"id":"W2559606935","doi":"10.1002/alr.21887","title":"Development and validation of a septoplasty training model using 3‐dimensional printing technology","year":2016,"lang":"en","type":"article","venue":"International Forum of Allergy & Rhinology","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Medicine; Septoplasty; Training (meteorology); Medical physics; Surgery; Nose","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002906846,0.0006496911,0.0002838723,0.0009411994,0.000267704,0.0006522363,0.0007233532,0.0007200502,0.001618754],"category_scores_gemma":[0.003868075,0.0003294846,0.0009971538,0.000356767,0.0005493187,0.0004354892,0.0007791745,0.0004792339,0.0004985292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004556035,"about_ca_system_score_gemma":0.0009324259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006637631,"about_ca_topic_score_gemma":0.0007581865,"domain_scores_codex":[0.9986954,0.0003044578,0.0001507138,0.0001261896,0.0006601378,0.00006301828],"domain_scores_gemma":[0.9965091,0.001330489,0.0004430128,0.0006871002,0.0008485121,0.0001816877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001246098,0.002302461,0.05106882,0.0009723898,0.0001168227,0.001010365,0.001072732,0.05608328,0.7355906,0.0007310403,0.0009141206,0.1488913],"study_design_scores_gemma":[0.0002463025,0.02166956,0.09218095,0.0003801603,0.0004667213,0.004676474,0.0005830234,0.161262,0.7030276,0.0005333918,0.01474783,0.000226131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9219012,0.0002484442,0.07496509,0.0001104496,0.00006757829,0.0006995894,0.000320229,0.0002667596,0.001420651],"genre_scores_gemma":[0.8817191,0.0004239425,0.1157458,0.00005969924,0.00001626932,0.0004722508,0.0005942772,0.00004777921,0.0009209056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002906846,"threshold_uncertainty_score":0.01537305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05056697355896339,"score_gpt":0.3050279426440466,"score_spread":0.2544609690850832,"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."}}