{"id":"W4210976025","doi":"10.1055/s-0041-1742199","title":"Cartilage Chips in Rhinoplasty","year":2022,"lang":"en","type":"article","venue":"Facial Plastic Surgery","topic":"Nasal Surgery and Airway Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Rhinoplasty; Cartilage; Surgery; Anatomy; Nose","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":[0.0003232084,0.0002816162,0.0001615087,0.0004924278,0.0003774994,0.000464346,0.0001616677,0.0004180617,0.003446035],"category_scores_gemma":[0.001075371,0.00008523995,0.0003385147,0.0003803784,0.0004831743,0.0003255755,0.0004152263,0.0003041461,0.000709109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001608811,"about_ca_system_score_gemma":0.0003236833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003946339,"about_ca_topic_score_gemma":0.0005776566,"domain_scores_codex":[0.999696,0.00005601804,0.00003068725,0.00003963529,0.000114627,0.00006299821],"domain_scores_gemma":[0.9994736,0.0001393839,0.0002097796,0.00003749083,0.00006697048,0.00007278282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001233364,0.000383959,0.5274031,0.002166852,0.0002550747,0.03937136,0.0009822205,0.0004797813,0.07873224,0.00138604,0.002411806,0.3451942],"study_design_scores_gemma":[0.0001061012,0.004471465,0.5478487,0.0009784352,0.0003842395,0.3638766,0.002838325,0.0006331184,0.02744846,0.0007486643,0.05061198,0.00005399113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464787,0.04479248,0.001208669,0.0003594753,0.0001866677,0.0000380334,0.00006260162,0.00002383102,0.006849604],"genre_scores_gemma":[0.9916602,0.006044514,0.0009504845,0.000119677,0.00007108925,0.00001265259,0.00004241339,0.000003995905,0.001094979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003446035,"threshold_uncertainty_score":0.01152813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695997967275117,"score_gpt":0.2421815055098227,"score_spread":0.2152215258370715,"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."}}