{"id":"W6908312201","doi":"10.26226/morressier.5b9a8cffdbd47e000fbf5a05","title":"Outcomes in Young Adults with Ischemic Stroke in Ontario","year":2017,"lang":"en","type":"other","venue":"BiblioBoard Library Catalog (Open Research Library)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Young adult; Stroke (engine); Proportional hazards model; Hyperlipidemia; Incidence (geometry); Depression (economics); Ischemic stroke; Mortality rate","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":[0.0003630025,0.0001758366,0.0002786124,0.0007274318,0.001342907,0.0006750121,0.0003449129,0.0002060591,0.001678091],"category_scores_gemma":[0.00133287,0.0001607267,0.000303093,0.001676153,0.0003354461,0.0003139715,0.000730816,0.0002337535,0.0001858118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009293038,"about_ca_system_score_gemma":0.01166272,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.924303,"about_ca_topic_score_gemma":0.9619412,"domain_scores_codex":[0.999619,0.00002420578,0.00004021913,0.00004339097,0.0001216712,0.0001514107],"domain_scores_gemma":[0.9989101,0.00004501336,0.0004308748,0.00002265392,0.0003056003,0.0002859045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003843359,0.0000159964,0.9949627,0.00004276608,0.00001392934,0.0001629173,0.0008793264,0.00002849495,0.00008011898,0.00003524491,0.0007613314,0.002978684],"study_design_scores_gemma":[0.000005418192,0.00002342314,0.9985889,0.00002507435,0.000008219412,0.00007695081,0.0006286069,0.00003484162,0.00001303625,0.00001972269,0.0005733043,0.000002421604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923489,0.0006560132,0.00006963161,0.000408096,0.00001229286,0.00007607513,0.003540304,0.000007863975,0.002880741],"genre_scores_gemma":[0.9965709,0.0006403513,0.0001046514,0.000136594,0.00001133061,0.00004452823,0.001811902,0.000002008549,0.0006776777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.075697,"threshold_uncertainty_score":0.1522856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0763339849206024,"score_gpt":0.2737464524367139,"score_spread":0.1974124675161115,"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."}}