{"id":"W2988621949","doi":"10.69645/oahz4871","title":"Convergence and joint prevention of stroke and dementia","year":2019,"lang":"en","type":"article","venue":"˜The œbiomedical & life sciences collection.","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Dementia; Convergence (economics); Joint (building); Stroke (engine); Medicine; Computer science; Physical medicine and rehabilitation; Economics; Engineering; Internal medicine; Structural engineering; Disease; Economic growth; Mechanical engineering","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":[0.003938691,0.0002456492,0.0008427065,0.005896595,0.001153359,0.001787045,0.0004396858,0.000475434,0.007000377],"category_scores_gemma":[0.01474592,0.0002346395,0.0004620148,0.00336141,0.0004815873,0.0008630509,0.00255637,0.001094619,0.0007345732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001313089,"about_ca_system_score_gemma":0.003270507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03569359,"about_ca_topic_score_gemma":0.04913024,"domain_scores_codex":[0.9972517,0.001463649,0.0002619337,0.0001698946,0.0004602091,0.0003926651],"domain_scores_gemma":[0.9929649,0.0009731375,0.00108774,0.0004612299,0.002759647,0.001753305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001109389,0.0005344438,0.7915332,0.0004883542,0.0005218671,0.0002094882,0.001638371,0.0003769414,0.0002766516,0.01356136,0.02552427,0.1642257],"study_design_scores_gemma":[0.00009965552,0.0002131228,0.9775842,0.0004804301,0.0002705324,0.0002720439,0.001458809,0.0005078199,0.0002013024,0.006910063,0.01198193,0.0000201435],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8061699,0.0480358,0.002178383,0.02149817,0.001347111,0.0002776334,0.01232373,0.0001735127,0.1079958],"genre_scores_gemma":[0.9769707,0.009675686,0.00137796,0.0005103376,0.0004626244,0.000112025,0.004636584,0.00002776811,0.006226272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03569359,"threshold_uncertainty_score":0.07097167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162680061317567,"score_gpt":0.2521836620746437,"score_spread":0.240556861461468,"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."}}