{"id":"W2564916912","doi":"10.1093/neuonc/now212.106","title":"BMET-06. IMPROVED SURVIVAL AND PROGNOSTIC ABILITY IN LUNG CANCER PATIENTS WITH BRAIN METASTASES: AN UPDATE OF THE GRADED PROGNOSTIC ASSESSMENT FOR LUNG CANCER USING MOLECULAR MARKERS (LUNG-molGPA)","year":2016,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Lung cancer; Internal medicine; Oncology; Adenocarcinoma; Hazard ratio; Performance status; Lung; Brain metastasis; Cancer; Metastasis; Confidence interval","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":[0.004365842,0.0005609117,0.001005414,0.001426471,0.0002462167,0.001554113,0.001069404,0.0005641596,0.001678466],"category_scores_gemma":[0.006258009,0.0001814529,0.0008540347,0.002127603,0.0002187364,0.0007672975,0.0007610266,0.001224706,0.001077897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098349,"about_ca_system_score_gemma":0.001815299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002634817,"about_ca_topic_score_gemma":0.006164141,"domain_scores_codex":[0.9985492,0.0006565106,0.0001737454,0.00009636492,0.0004414544,0.00008261604],"domain_scores_gemma":[0.9981366,0.000435897,0.0002665301,0.000138609,0.0007174092,0.0003048846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003446089,0.0002401082,0.08823279,0.001594971,0.0006821245,0.0001788406,0.00006296428,0.0030628,0.001957954,0.00171554,0.09550623,0.8033197],"study_design_scores_gemma":[0.003590149,0.003770792,0.3434515,0.002013905,0.001983857,0.00305931,0.0001266239,0.01966015,0.004368735,0.005235923,0.6125572,0.0001818275],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4418005,0.2360839,0.04893254,0.05667888,0.01094651,0.003510344,0.1072269,0.002573043,0.09224737],"genre_scores_gemma":[0.6486444,0.06805799,0.08153962,0.01282413,0.004968775,0.003661288,0.1630815,0.000575695,0.01664652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004365842,"threshold_uncertainty_score":0.02308905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334472457339202,"score_gpt":0.3602062410185797,"score_spread":0.3468615164451877,"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."}}