{"id":"W4250627751","doi":"10.1016/j.cps.2013.09.006","title":"Preface","year":2013,"lang":"en","type":"article","venue":"Clinics in Plastic Surgery","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Plastic surgery; Otorhinolaryngology; Surgery","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003221079,0.00006593522,0.0001504513,0.0001156775,0.00009067656,0.00003429967,0.000068805,0.00004181755,0.01764287],"category_scores_gemma":[0.002637662,0.00005728005,0.00004515617,0.0000522216,0.0002076467,0.0001560836,0.0000164998,0.0001747512,0.00184179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001882295,"about_ca_system_score_gemma":0.00006326196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003143381,"about_ca_topic_score_gemma":0.00005799518,"domain_scores_codex":[0.9991875,0.00003252767,0.0003974586,0.0001212138,0.0001065586,0.0001547229],"domain_scores_gemma":[0.9940011,0.005690879,0.00006643407,0.0001258786,0.00006540078,0.00005031925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000964168,0.0002450308,0.01474979,0.00004768118,0.00001507616,0.00001036101,0.003644212,0.0000081484,0.000003705553,0.2670332,0.6969488,0.01728427],"study_design_scores_gemma":[0.00008666815,0.00001428691,0.006589038,0.00005763289,0.000003702155,5.19745e-7,0.0004704798,0.0004955146,0.000001614613,0.005261784,0.9868987,0.0001200867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8643015,0.0001039168,0.0000767811,0.0003238036,0.01254672,0.0001114526,0.00001036678,0.00007640431,0.122449],"genre_scores_gemma":[0.9897181,0.00001468454,0.00001977564,0.0005905344,0.0005343661,0.00004056252,0.00001897783,0.000009082804,0.009053874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2899498,"threshold_uncertainty_score":0.9989354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08393658218537081,"score_gpt":0.2634184064291271,"score_spread":0.1794818242437562,"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."}}