{"id":"W7098378041","doi":"","title":"FITNESS TO DRIVE IN BRAIN CANCER","year":2016,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brain cancer; Grey matter; Cancer; Central nervous system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002315157,0.0001293898,0.000315841,0.0005881638,0.001153457,0.0008019346,0.0006040754,0.000582209,0.002917589],"category_scores_gemma":[0.002103986,0.0001163484,0.0002913376,0.001362391,0.0004527101,0.0003637326,0.0006699839,0.0007004484,0.0002491829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006573584,"about_ca_system_score_gemma":0.003799118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.781477,"about_ca_topic_score_gemma":0.850764,"domain_scores_codex":[0.9997577,0.00002987383,0.00001961774,0.00003897515,0.00005196536,0.0001018087],"domain_scores_gemma":[0.9992424,0.00005670784,0.0001967164,0.00001828317,0.0001657218,0.0003202767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007857355,0.00003739677,0.9900795,0.00004318581,0.00004914321,0.0001775671,0.0006222853,0.0001121297,0.00007270054,0.0001235412,0.002812817,0.005791239],"study_design_scores_gemma":[0.000002476921,0.00001380438,0.9987311,0.000024372,0.000009187933,0.00004373076,0.0005183559,0.00008250582,0.000004744803,0.00005325224,0.0005131778,0.000003363203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880636,0.003324777,0.00001888581,0.003780377,0.00004867323,0.00001098538,0.00118682,0.000003758216,0.003562046],"genre_scores_gemma":[0.9979863,0.0007141256,0.00001261026,0.0001596728,0.00001562555,0.000004077205,0.0004735368,0.000001566435,0.0006325906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.781477,"threshold_uncertainty_score":0.4396199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04192089793645768,"score_gpt":0.230915885420118,"score_spread":0.1889949874836603,"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."}}