{"id":"W1990140823","doi":"10.1016/j.oos.2009.06.171","title":"O86. A preoperative measure of tumor thickness as a predictor of cervical nodal metastasis in oral carcinoma","year":2009,"lang":"en","type":"article","venue":"Oral Oncology Supplement","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Medicine; Cervical carcinoma; Metastasis; Carcinoma; Measure (data warehouse); Oncology; Radiology; Internal medicine; Cervical cancer; Cancer","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":[],"category_scores_codex":[0.0005542595,0.0002083893,0.001166503,0.0001522802,0.00003772034,0.000002628466,0.0001228873,0.0001069283,0.001275058],"category_scores_gemma":[0.0001194829,0.0001586918,0.0001328896,0.0002898326,0.0001714724,0.00006098541,0.00007562857,0.0002614017,0.000005118895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003164497,"about_ca_system_score_gemma":0.0007996508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007852974,"about_ca_topic_score_gemma":0.002257388,"domain_scores_codex":[0.9979939,0.0002358337,0.000670504,0.0003106151,0.0004151342,0.0003739579],"domain_scores_gemma":[0.9991482,0.00008194329,0.0001533928,0.0002230963,0.0002573378,0.0001360095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00835653,0.005283301,0.9137096,0.0004565492,0.0007049732,0.000805078,0.01531609,0.00001354705,0.01700202,0.003086991,0.01905553,0.01620975],"study_design_scores_gemma":[0.01643522,0.02656258,0.8936487,0.0002712054,0.0006387414,0.0001436468,0.00415385,0.0001199774,0.03467256,0.0002756566,0.0227782,0.0002996321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820776,0.0004750215,0.00002016061,0.01353092,0.0001361917,0.0008940897,0.0001642544,0.00001605088,0.002685701],"genre_scores_gemma":[0.9953934,0.00002505002,0.00313213,0.001131081,0.00006215731,0.00009226007,0.00003996801,0.00001125786,0.0001127181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02127928,"threshold_uncertainty_score":0.9996379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.038856221308425,"score_gpt":0.3506426245318821,"score_spread":0.3117864032234571,"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."}}