{"id":"W2781654488","doi":"10.69645/nnhx6620","title":"Lifestyle and nutrition in stroke prevention","year":2017,"lang":"en","type":"article","venue":"˜The œbiomedical & life sciences collection.","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Stroke (engine); Medicine; Gerontology; Environmental health; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001170024,0.00008316054,0.0001754817,0.0002534521,0.001630166,0.0001059364,0.0001704431,0.00008897953,0.0001295654],"category_scores_gemma":[0.0003126609,0.00005959786,0.00004196661,0.0004144565,0.0009955986,0.0001869175,0.00006310744,0.0002450216,0.00001871045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007137506,"about_ca_system_score_gemma":0.0003321561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001881482,"about_ca_topic_score_gemma":0.0002558156,"domain_scores_codex":[0.9986405,0.00007764117,0.000282748,0.0002712264,0.0004664169,0.000261489],"domain_scores_gemma":[0.9992636,0.0000974939,0.0001234907,0.0001988295,0.00005000286,0.0002665519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001530066,0.006023974,0.6021408,0.001776564,0.000112598,0.0001345717,0.0025221,0.000004091587,0.006793283,0.007052741,0.2753904,0.09651875],"study_design_scores_gemma":[0.01096509,0.002669096,0.6596304,0.001303412,0.00007096479,0.0003657361,0.001830271,0.01516196,0.000218749,0.01074,0.2966869,0.0003574338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8515473,0.002072738,0.001834268,0.1217193,0.00223648,0.00194533,0.00001321449,0.0001438595,0.01848757],"genre_scores_gemma":[0.9926242,0.0006171747,0.00126749,0.001372528,0.000492717,0.00008618163,0.000004612875,0.00000540856,0.003529701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1410769,"threshold_uncertainty_score":0.9996696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0476852618542693,"score_gpt":0.3700786921342885,"score_spread":0.3223934302800192,"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."}}