{"id":"W1989011471","doi":"10.2310/7070.2004.03088","title":"Computed Tomographic Volumetric Analysis as a Predictor of Local Control in Laryngeal Cancers Treated with Conventional Radiotherapy","year":2004,"lang":"en","type":"article","venue":"The Journal of Otolaryngology","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Larynx; Radiation therapy; Multivariate analysis; Glottis; Univariate analysis; Stage (stratigraphy); T-stage; Radiology; Head and neck cancer; Retrospective cohort study; Demographics; Laryngectomy; Computed tomographic; Cancer; Carcinoma; Nuclear medicine; Computed tomography; Surgery; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005114272,0.0001440011,0.001008981,0.0009951943,0.00004372108,0.000002894004,0.000145828,0.00008728258,0.00009441857],"category_scores_gemma":[0.00002580588,0.00008444015,0.0002370759,0.002019792,0.0004192799,0.00005462219,0.00001009179,0.0003374981,8.735357e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002600896,"about_ca_system_score_gemma":0.0005180674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001409223,"about_ca_topic_score_gemma":0.0007483095,"domain_scores_codex":[0.9985711,0.0001917254,0.000563321,0.000111879,0.000332393,0.0002295766],"domain_scores_gemma":[0.9988818,0.0001817547,0.0003890431,0.0001497008,0.0002905826,0.0001070922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008389196,0.0003696494,0.9741781,0.00004506222,0.006722676,0.0003594977,0.0005108301,0.007484586,0.001281768,0.0001018643,0.0001011028,0.0004556522],"study_design_scores_gemma":[0.01835697,0.005850464,0.9701167,0.0001525929,0.001913434,0.001000283,0.0001642289,0.001892968,0.0003017421,0.00004339739,0.000123626,0.0000835496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814186,0.005054367,0.01174511,0.001378695,0.00006048041,0.0002515554,0.000008653078,0.00000826628,0.00007425597],"genre_scores_gemma":[0.9985194,0.000574534,0.0002403658,0.0005517062,0.00007707093,0.000005360885,0.000003933692,0.00001147636,0.00001619372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01710074,"threshold_uncertainty_score":0.344337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008260607948572408,"score_gpt":0.2583002288788838,"score_spread":0.2500396209303114,"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."}}