{"id":"W4404381325","doi":"10.1161/circ.150.suppl_1.4147578","title":"Abstract 4147578: Temporal Trends in Stroke-related Mortality in Canada Over the Past 30 Years","year":2024,"lang":"en","type":"article","venue":"Circulation","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Demography; Gerontology","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":[0.0006882895,0.0002912617,0.0003505432,0.002947673,0.001107192,0.001252441,0.0006702681,0.0003055618,0.004621766],"category_scores_gemma":[0.002499772,0.0001403435,0.0006218428,0.007909645,0.0002623739,0.0003828151,0.0005652754,0.0005083183,0.000697038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01518665,"about_ca_system_score_gemma":0.03187756,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9899232,"about_ca_topic_score_gemma":0.9889685,"domain_scores_codex":[0.999334,0.00003344136,0.00006475962,0.00009189182,0.000352034,0.0001237087],"domain_scores_gemma":[0.997311,0.0001063308,0.0003696674,0.00004403504,0.001951408,0.0002175804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002360397,0.00003119123,0.9533355,0.0004799643,0.0002571029,0.0001018744,0.0003281365,0.0004966721,0.000249752,0.0003374772,0.0194773,0.02466902],"study_design_scores_gemma":[0.00001098481,0.00002502987,0.9909708,0.0001258951,0.0001077847,0.00008037027,0.0003797049,0.0007011283,0.0001225142,0.00005217021,0.007411156,0.00001245544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5852076,0.009989231,0.001089375,0.002940601,0.000148776,0.0001794961,0.3818023,0.0003580092,0.01828467],"genre_scores_gemma":[0.901745,0.004722334,0.002201679,0.0004139612,0.00005332658,0.0001045282,0.08336145,0.00005806798,0.007339654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01518665,"threshold_uncertainty_score":0.1101874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790859068527252,"score_gpt":0.2688798323552515,"score_spread":0.250971241669979,"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."}}