{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003224598,0.0002662031,0.0005474468,0.0001070173,0.0001002668,0.00001517208,0.0001228404,0.0001020658,0.00003093367],"category_scores_gemma":[0.0003676632,0.0001511856,0.00008280153,0.0002746321,0.0002283977,0.0001534711,0.00007348254,0.0001578913,5.535215e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009345377,"about_ca_system_score_gemma":0.00156147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006766978,"about_ca_topic_score_gemma":0.0009758676,"domain_scores_codex":[0.9978763,0.0004240121,0.000434118,0.000574159,0.0002638033,0.0004275844],"domain_scores_gemma":[0.9982291,0.0006641232,0.0003223337,0.0003434735,0.0002815322,0.0001593629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007192446,0.0007911121,0.9281714,0.000377469,0.000491077,0.00001829941,0.0002378483,0.0001062807,0.06384414,0.00007217148,0.00007903014,0.005091914],"study_design_scores_gemma":[0.0235988,0.003007328,0.9489917,0.00055716,0.004599952,0.0000139584,0.0001943069,0.01394424,0.004046074,0.00006177616,0.0005875851,0.0003971002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989704,0.0003586332,0.001025915,0.002683699,0.0003442598,0.005448716,0.0003842073,0.00002314441,0.00002744451],"genre_scores_gemma":[0.9961613,0.00003748564,0.001743152,0.0005057932,0.00003921692,0.001399905,0.00005413095,0.00004967846,0.000009363789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05979806,"threshold_uncertainty_score":0.6165171,"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."}}