{"id":"W4384070110","doi":"10.1093/noajnl/vdad071.017","title":"BIOMARKER STATUS PREDICTS FOR LOCAL CONTROL (LC) FOLLOWING SPINE STEREOTACTIC BODY RADIOTHERAPY (SBRT) IN NON-SMALL CELL LUNG CANCER (NSCLC) PATIENTS WITH SPINAL METASTASES","year":2023,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Management of metastatic bone disease","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Internal medicine; Radiosurgery; Hazard ratio; Lung cancer; Oncology; Adenocarcinoma; Cumulative incidence; Gastroenterology; Incidence (geometry); Biomarker; non-small cell lung cancer (NSCLC); Clinical endpoint; Radiation therapy; Confidence interval; Urology; Cancer; Clinical trial; Cohort","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004223057,0.0004356162,0.0009392324,0.0005030851,0.0001158632,0.00002646352,0.0001915819,0.00009238504,0.00008704411],"category_scores_gemma":[0.000248643,0.0003558383,0.0001943986,0.0006794231,0.0001570595,0.0003314508,0.00005222181,0.0002631334,0.000008341531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003204242,"about_ca_system_score_gemma":0.0003932795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003995874,"about_ca_topic_score_gemma":0.0001001353,"domain_scores_codex":[0.996892,0.0002370471,0.0006194331,0.0007817912,0.0005010185,0.0009686984],"domain_scores_gemma":[0.9982789,0.0005336861,0.0003395749,0.0003834982,0.0001337737,0.0003305286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01901811,0.002298722,0.8995258,0.00206787,0.001250642,0.001915644,0.0002772485,0.001731239,0.004364447,0.00002089996,0.003396162,0.06413317],"study_design_scores_gemma":[0.07791396,0.008585973,0.8361275,0.0004992587,0.002547203,0.000008028101,0.0004639683,0.02876412,0.0003890543,0.00002920931,0.04401724,0.0006544638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674456,0.004445193,0.01981525,0.001141883,0.001169023,0.00529171,0.0002096487,0.0001794741,0.0003021976],"genre_scores_gemma":[0.992312,0.0006553271,0.00252396,0.002661115,0.0001052894,0.001301695,0.000165632,0.0001012236,0.0001737202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06347871,"threshold_uncertainty_score":0.9998894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237361911677784,"score_gpt":0.3146763242261191,"score_spread":0.3023027051093413,"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."}}