{"id":"W2990034824","doi":"10.1161/str.48.suppl_1.tp359","title":"Abstract TP359: Partnering in the Community to Improve Long Term Stroke Outcomes","year":2017,"lang":"en","type":"article","venue":"Stroke","topic":"Public Health and Nutrition","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Guideline; Quality of life (healthcare); Quarter (Canadian coin); Family medicine; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003501428,0.0003440354,0.0002946704,0.0005014424,0.001521326,0.001451812,0.001063368,0.001106087,0.02993136],"category_scores_gemma":[0.007803274,0.0001404573,0.0005309178,0.000539619,0.0005291157,0.001226414,0.00418582,0.001495384,0.002616015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009804411,"about_ca_system_score_gemma":0.00744284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004651864,"about_ca_topic_score_gemma":0.007871938,"domain_scores_codex":[0.9981371,0.001108997,0.00006219711,0.0001237132,0.0002080397,0.0003599303],"domain_scores_gemma":[0.9935458,0.0005032623,0.0003472057,0.0002000615,0.0004293314,0.004974358],"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":[0.001290621,0.007614814,0.02272421,0.0009221336,0.0001183705,0.0003647944,0.001655975,0.0003639495,0.0007603896,0.001203313,0.09885105,0.8641304],"study_design_scores_gemma":[0.01486717,0.04595217,0.5373362,0.009953696,0.001241862,0.002025007,0.02737711,0.007838303,0.004362067,0.02285573,0.3259017,0.0002889309],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7691583,0.006328154,0.009389923,0.101396,0.003831161,0.003531012,0.001707121,0.001993469,0.1026649],"genre_scores_gemma":[0.9650086,0.002644543,0.01191226,0.007925307,0.0005965673,0.001791998,0.0008366426,0.00009571919,0.009188425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02993136,"threshold_uncertainty_score":0.1001304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06484674241696929,"score_gpt":0.3898779258905484,"score_spread":0.3250311834735791,"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."}}