{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110703,0.0001189744,0.0003488777,0.00007121787,0.00009946713,0.0000102275,0.00004233244,0.00004222763,0.0000219298],"category_scores_gemma":[0.00005736726,0.0001008982,0.00002468785,0.0001676895,0.00006124673,0.00004732371,0.00005663585,0.0001425091,0.00004095426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007681827,"about_ca_system_score_gemma":0.00006226441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001091976,"about_ca_topic_score_gemma":0.001146288,"domain_scores_codex":[0.9991654,0.00004601626,0.0001700725,0.0002667781,0.0001221984,0.0002295421],"domain_scores_gemma":[0.9994671,0.0000469622,0.00001674795,0.0001934994,0.00007833847,0.000197348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002102903,0.0003504044,0.7042646,0.00009464631,0.00003832113,0.00005346125,0.004807753,0.000004060211,0.003324311,0.0004739183,0.01428537,0.2720928],"study_design_scores_gemma":[0.001456278,0.000856106,0.9623334,0.00008996717,0.00001603016,0.00003651093,0.00009152283,0.001625277,0.0002607717,0.00003742207,0.0330946,0.0001020554],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834062,0.0003160439,0.0002823787,0.01085827,0.00007699062,0.0004367647,0.00003171065,0.00003911128,0.004552506],"genre_scores_gemma":[0.9911548,0.00002676841,0.004362563,0.003959307,0.00008316086,0.00007188139,0.00001641922,0.00001268026,0.0003124389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2719908,"threshold_uncertainty_score":0.411451,"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."}}