{"id":"W1896955786","doi":"10.1002/hed.23637","title":"Algorithm to predict postoperative complications in oropharyngeal and oral cavity carcinoma","year":2014,"lang":"en","type":"article","venue":"Head & Neck","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Hospital Foundation","funders":"","keywords":"Medicine; Nomogram; Neck dissection; Head and neck cancer; Oral cavity; Dissection (medical); Concordance; Surgery; Cancer; Carcinoma; Multivariate analysis; Internal medicine; Dentistry","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":[0.002624932,0.0008460751,0.0008197543,0.002919867,0.0006554661,0.001352241,0.001000014,0.000673859,0.001957208],"category_scores_gemma":[0.01509729,0.0002085579,0.0008404324,0.001032713,0.0002733107,0.0007422373,0.0008146751,0.0007697399,0.0006203213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008071574,"about_ca_system_score_gemma":0.002152376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00488092,"about_ca_topic_score_gemma":0.004682234,"domain_scores_codex":[0.999008,0.0003759968,0.0001449821,0.0001406714,0.0002412807,0.00008920408],"domain_scores_gemma":[0.9931954,0.003414444,0.0007790145,0.0002392769,0.002060506,0.0003112825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009675264,0.0003595827,0.6587625,0.000184942,0.0003623798,0.0004659592,0.0001590167,0.04104134,0.0006384323,0.001135054,0.01286299,0.2830603],"study_design_scores_gemma":[0.0004839955,0.0006403289,0.1937634,0.0002273416,0.0005260218,0.003306604,0.000326758,0.7791123,0.002332149,0.005481237,0.01368305,0.0001167657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7480251,0.002842434,0.2242688,0.003038153,0.0005039247,0.002114695,0.004182012,0.002996379,0.01202857],"genre_scores_gemma":[0.829868,0.000400909,0.1634734,0.0002473226,0.0001423651,0.0005858927,0.00391488,0.00009231712,0.001275021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00488092,"threshold_uncertainty_score":0.0138821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02676996514832476,"score_gpt":0.3164046217208846,"score_spread":0.2896346565725598,"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."}}