{"id":"W2113122631","doi":"10.1186/1748-5908-5-44","title":"Synergizing expectation and execution for stroke communities of practice innovations","year":2010,"lang":"en","type":"article","venue":"Implementation Science","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"Canadian Institutes of Health Research","keywords":"Brainstorming; Knowledge translation; Knowledge management; Best practice; Health administration; Session (web analytics); Medicine; Health informatics; Public relations; Process management; Nursing; Medical education; Computer science; Business; Marketing; World Wide Web; Public health; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.03888683,0.0004958395,0.0003438508,0.003056868,0.003719909,0.007617806,0.001801201,0.002063529,0.007749022],"category_scores_gemma":[0.08451574,0.0004832664,0.0008181764,0.001153773,0.00407752,0.005592767,0.008978141,0.001435951,0.001188393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007131281,"about_ca_system_score_gemma":0.02583816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002505785,"about_ca_topic_score_gemma":0.003292469,"domain_scores_codex":[0.9579258,0.02951847,0.001752478,0.002221814,0.006047326,0.00253402],"domain_scores_gemma":[0.9226467,0.04444131,0.008211152,0.006561558,0.009531909,0.008607405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007376573,0.003151154,0.1021481,0.001990252,0.0001892658,0.00202766,0.1894368,0.008048506,0.008508411,0.1265691,0.008271338,0.5489218],"study_design_scores_gemma":[0.0007963849,0.005368865,0.1337015,0.003840828,0.0003815851,0.001842,0.331312,0.08588496,0.01562782,0.2502556,0.1704601,0.0005282924],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6757969,0.0004472829,0.1551942,0.01495746,0.0002395789,0.004622699,0.0001549568,0.001292103,0.1472947],"genre_scores_gemma":[0.9596835,0.00008103291,0.03693428,0.0002018879,0.00001607648,0.0007600228,0.00006020501,0.00003559563,0.002227353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03888683,"threshold_uncertainty_score":0.2056557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6222194428225947,"score_gpt":0.732983496315657,"score_spread":0.1107640534930623,"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."}}