{"id":"W3196429574","doi":"10.1016/j.lana.2021.100066","title":"Social determinants of health and survival on Brazilian patients with glioblastoma: a retrospective analysis of a large populational database","year":2021,"lang":"en","type":"article","venue":"The Lancet Regional Health - Americas","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"","keywords":"Glioblastoma; Retrospective cohort study; Medicine; Demography; Database; Family medicine; Sociology; Internal medicine; Computer science","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":[0.001100457,0.0002161447,0.0005299803,0.001697185,0.0003784138,0.0005408219,0.0003954142,0.0002765966,0.0007158087],"category_scores_gemma":[0.004061318,0.0002914223,0.0007182139,0.002778262,0.0002672399,0.0003974908,0.0007613044,0.0003495137,0.0001089209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009475066,"about_ca_system_score_gemma":0.001191544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04480792,"about_ca_topic_score_gemma":0.04892869,"domain_scores_codex":[0.9990693,0.0002760537,0.0001648192,0.0001823179,0.0001825428,0.0001249965],"domain_scores_gemma":[0.9970721,0.0005044787,0.001579636,0.0002625637,0.0003666846,0.0002144596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002596144,0.00001471109,0.9987198,0.00002638521,0.00004685089,0.00003217375,0.00009621093,0.00002334375,0.00004710577,0.00001778107,0.0001083414,0.0008413873],"study_design_scores_gemma":[0.000006544261,0.00003624019,0.9988544,0.00003126711,0.00004809188,0.0001478159,0.0002869156,0.0001811021,0.00002249344,0.00001819904,0.0003627731,0.000004065308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950408,0.0005390434,0.0001314049,0.0001071255,0.000003826035,0.00003853387,0.003642543,0.000004156141,0.0004926353],"genre_scores_gemma":[0.9966791,0.0003913211,0.0001149126,0.0000407349,0.000004728543,0.00005589225,0.002668031,0.000002128942,0.00004314799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04480792,"threshold_uncertainty_score":0.08909422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05605154648811435,"score_gpt":0.3895263125026872,"score_spread":0.3334747660145728,"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."}}