{"id":"W2954832099","doi":"10.69645/mlcf2122","title":"Exercise for stroke prevention","year":2019,"lang":"en","type":"article","venue":"˜The œbiomedical & life sciences collection.","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"","keywords":"Stroke (engine); Physical medicine and rehabilitation; Medicine; Engineering; 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":[0.001832252,0.0004079082,0.0005261952,0.001862637,0.0004124842,0.001039675,0.000399239,0.000506592,0.02292832],"category_scores_gemma":[0.003677817,0.0001795465,0.0005263115,0.001862143,0.0001407311,0.0003050137,0.0005850142,0.001332688,0.01082847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004800313,"about_ca_system_score_gemma":0.002733723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009747015,"about_ca_topic_score_gemma":0.02689113,"domain_scores_codex":[0.9993758,0.0001543454,0.00009407283,0.0000458449,0.0002481393,0.00008181128],"domain_scores_gemma":[0.9974796,0.0003899711,0.0002277977,0.0001973848,0.001197004,0.0005081818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004355965,0.0002971189,0.007935084,0.0007427381,0.00008728147,0.00003448033,0.00003598614,0.00004545275,0.000370885,0.001026188,0.5934108,0.3955785],"study_design_scores_gemma":[0.0004868503,0.0005354118,0.26514,0.003076708,0.0002561851,0.0001741141,0.0001498652,0.0001354933,0.0005980776,0.0009279153,0.7284966,0.00002273076],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02518376,0.3046207,0.00199154,0.1076268,0.02075699,0.001861612,0.1536769,0.0006576841,0.383624],"genre_scores_gemma":[0.1005268,0.3822097,0.01106992,0.02580011,0.01736139,0.002652519,0.1455722,0.000238647,0.3145686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02292832,"threshold_uncertainty_score":0.07670289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068127084643991,"score_gpt":0.2984479975033725,"score_spread":0.2777667266569326,"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."}}