{"id":"W2736007450","doi":"10.1177/1747493017711814","title":"Enhancing the alignment of the preclinical and clinical stroke recovery research pipeline: Consensus-based core recommendations from the Stroke Recovery and Rehabilitation Roundtable translational working group","year":2017,"lang":"en","type":"article","venue":"International Journal of Stroke","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of British Columbia; Heart and Stroke Foundation; University of Ottawa","funders":"","keywords":"Medicine; Stroke (engine); Clinical trial; Rehabilitation; Stroke recovery; Physical medicine and rehabilitation; Translational research; Physical therapy; Acute stroke; Intensive care medicine; Pathology; Internal medicine; Tissue plasminogen activator","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.6738778,0.004663131,0.01403537,0.01367504,0.009603455,0.03386876,0.0317631,0.06004096,0.006747827],"category_scores_gemma":[0.6050738,0.005850721,0.01588564,0.01084433,0.01358829,0.02685148,0.04101602,0.05999701,0.007767057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02307021,"about_ca_system_score_gemma":0.2256295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02220045,"about_ca_topic_score_gemma":0.02698945,"domain_scores_codex":[0.5226505,0.2310377,0.108799,0.01935468,0.0952788,0.02287943],"domain_scores_gemma":[0.1575532,0.398711,0.04864572,0.03992429,0.291478,0.06368778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001379285,0.001670088,0.004290604,0.03567749,0.002739357,0.0006014285,0.007091161,0.003646405,0.002684145,0.03445614,0.5264773,0.3792865],"study_design_scores_gemma":[0.003513617,0.002018418,0.01559818,0.1682657,0.005007553,0.0007777407,0.008037382,0.005166712,0.004721791,0.1142755,0.6711361,0.001481268],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.002205169,0.04618437,0.05396077,0.8538091,0.02471713,0.008416909,0.001360219,0.001599728,0.007746762],"genre_scores_gemma":[0.02576361,0.03128681,0.5934329,0.3179894,0.007897379,0.01421194,0.004570696,0.001041514,0.003805762],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6738778,"threshold_uncertainty_score":0.4021668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1106115171500339,"score_gpt":0.4335773225256772,"score_spread":0.3229658053756433,"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."}}