{"id":"W2597463773","doi":"","title":"ASSOCIATION BETWEEN NEIGHBORHOOD SOCIOECONOMIC STATUS, STROKE CENTER ADMISSION, AND MORTALITY AFTER ISCHEMIC AND ILL-DEFINE STROKE","year":2016,"lang":"en","type":"article","venue":"STM:n Hallinnonalan avoin julkaisuarkisto (Julkari)","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Health Information; Alberta Medical Association; Alberta Health Services; Institute of Health Economics; University of Alberta","funders":"","keywords":"Socioeconomic status; Stroke (engine); Medicine; Association (psychology); Ischemic stroke; Center (category theory); Emergency medicine; Demography; Environmental health; Internal medicine; Population; Psychology; Ischemia","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":[0.0005225774,0.000217989,0.0003159633,0.000697546,0.0006561007,0.0006875317,0.0004092287,0.0006812259,0.003101429],"category_scores_gemma":[0.002530165,0.0002907571,0.0006573833,0.0006669098,0.00025348,0.0004545362,0.0006258341,0.000980216,0.0003010919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003629407,"about_ca_system_score_gemma":0.000417858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.013585,"about_ca_topic_score_gemma":0.02086956,"domain_scores_codex":[0.9995153,0.00013632,0.00006628201,0.00009315208,0.00006977579,0.000119184],"domain_scores_gemma":[0.9985414,0.0003531786,0.0004310135,0.0001113195,0.0001073745,0.0004557148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001751607,0.00008243871,0.9988709,0.000004103877,0.00008289755,0.0000273402,0.00002789112,0.00002855498,0.00003925251,0.00001826906,0.00008367714,0.0005594035],"study_design_scores_gemma":[0.000005488262,0.00005269437,0.9994746,0.000003692447,0.00003102408,0.00004692934,0.0001226831,0.0001685765,0.00001253125,0.00002660814,0.00005201241,0.000003058703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998987,0.0001973336,0.00003138494,0.00006638611,0.00001356207,0.000001917236,0.0002014861,0.000001806047,0.0004990573],"genre_scores_gemma":[0.9993513,0.00007474737,0.00002211684,0.00001821195,0.00001990731,0.000003947481,0.000267427,0.00000126839,0.0002410869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.013585,"threshold_uncertainty_score":0.02701187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770595038333978,"score_gpt":0.2800614920475921,"score_spread":0.2623555416642523,"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."}}