{"id":"W1997928064","doi":"10.1371/journal.pone.0045108","title":"Training the Brain to Survive Stroke","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; Ontario Brain Institute; University of Calgary","funders":"Canadian Institutes of Health Research; National Institutes of Health","keywords":"Training (meteorology); Stroke (engine); Physical medicine and rehabilitation; Medicine; Neuroscience; Psychology; Geography; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000151838,0.0003842587,0.0002381547,0.0001651139,0.0001332655,0.0002279694,0.0002607392,0.0004023695,0.008464119],"category_scores_gemma":[0.0001963046,0.00003695268,0.0001346964,0.0001042138,0.0002776183,0.0001793375,0.000270481,0.0004130351,0.001813561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001259903,"about_ca_system_score_gemma":0.0003426699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003907599,"about_ca_topic_score_gemma":0.0007002552,"domain_scores_codex":[0.9999603,0.000006096423,0.000002263758,0.000007590544,0.000007588351,0.00001607916],"domain_scores_gemma":[0.9999338,0.000005590255,0.00001469001,0.000006930577,0.00001229828,0.00002675281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001548526,0.004042432,0.005759546,0.003037649,0.000235252,0.0003947703,0.0003367436,0.001119857,0.2373484,0.002336392,0.02205773,0.7217827],"study_design_scores_gemma":[0.001228366,0.06089975,0.3051379,0.004734485,0.001191282,0.004047261,0.001370373,0.005143271,0.1588837,0.03112798,0.4260779,0.0001576854],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9173279,0.02140605,0.008920874,0.009825819,0.001742171,0.0003991073,0.0007477931,0.0008277895,0.03880252],"genre_scores_gemma":[0.9150702,0.03611458,0.009824195,0.003039795,0.001004358,0.0004850512,0.001085208,0.00005363554,0.03332301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008464119,"threshold_uncertainty_score":0.02831531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2198550504391119,"score_gpt":0.2815387723708737,"score_spread":0.0616837219317618,"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."}}