{"id":"W4248909392","doi":"10.21203/rs.2.20559/v1","title":"People with lived experience at the centre of Canadian Stroke Best Practice Recommendations: A model for guideline developers","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Calgary; McMaster University; Dalhousie University; Heart and Stroke Foundation","funders":"Heart and Stroke Foundation of Canada","keywords":"Guideline; Best practice; Stroke (engine); Medicine; Psychology; Medical education; Business; Political science; Engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.07597877,0.0009650233,0.0006905464,0.004027771,0.01824413,0.02505952,0.005579973,0.006189282,0.01526157],"category_scores_gemma":[0.1225304,0.001032864,0.0009811672,0.003175792,0.02029154,0.01622116,0.01393359,0.007185986,0.002450068],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03842622,"about_ca_system_score_gemma":0.1312112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.32286,"about_ca_topic_score_gemma":0.3809496,"domain_scores_codex":[0.9167454,0.06326322,0.002207031,0.003185919,0.009349878,0.005248606],"domain_scores_gemma":[0.8530183,0.06545223,0.00576246,0.01053958,0.03844077,0.02678661],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002232095,0.001048192,0.03730297,0.0004720157,0.00007742718,0.001789394,0.6713942,0.0007025759,0.0005771064,0.1444608,0.04821615,0.09373607],"study_design_scores_gemma":[0.0002653166,0.0003522085,0.008622237,0.001635854,0.0001328203,0.0007830092,0.6627283,0.00489472,0.0008165424,0.0918956,0.227564,0.0003094175],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.2592046,0.001295966,0.09231905,0.2926333,0.001391266,0.003393115,0.0008112848,0.0009728981,0.3479784],"genre_scores_gemma":[0.8591954,0.0009094529,0.1025976,0.01062746,0.0001117194,0.001727062,0.0004264842,0.000299591,0.02410524],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9615738,"threshold_uncertainty_score":0.6419615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5259014039441814,"score_gpt":0.5782196153657748,"score_spread":0.05231821142159343,"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."}}