{"id":"W4404296890","doi":"10.29173/cjen425","title":"CPSI SHN Virtual Learning Collaborative: Canadian teams improving STEMI care together","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Nursing","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"Division of Chemistry","keywords":"Business; Knowledge management; Collaborative learning; Process management; Computer science; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00755551,0.0007532225,0.0002771531,0.001235282,0.01194534,0.004568247,0.002397765,0.002191371,0.02104134],"category_scores_gemma":[0.01300512,0.0003346204,0.0006298784,0.001720501,0.002461198,0.002201775,0.008908694,0.002699416,0.002272596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02887777,"about_ca_system_score_gemma":0.1958129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8134813,"about_ca_topic_score_gemma":0.9341453,"domain_scores_codex":[0.9954311,0.001286776,0.0001048853,0.0002853145,0.001531095,0.00136078],"domain_scores_gemma":[0.9794928,0.001037692,0.0003420384,0.000523458,0.003858878,0.01474514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001712966,0.0006012159,0.008042772,0.0002000247,0.00005992044,0.0002823682,0.006861705,0.001513111,0.0003162122,0.006900723,0.7632914,0.2117593],"study_design_scores_gemma":[0.0004104434,0.0005075843,0.02823912,0.0004892198,0.0001143428,0.0001964031,0.02366528,0.003282625,0.0009144874,0.009128432,0.9328368,0.0002152824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.1300907,0.004192438,0.02185682,0.4630993,0.01519752,0.001895063,0.003229969,0.00203952,0.3583988],"genre_scores_gemma":[0.6933931,0.00635111,0.07077938,0.03781233,0.002319708,0.001435846,0.003074167,0.0004050041,0.1844294],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8134813,"threshold_uncertainty_score":0.3752343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2889815273117359,"score_gpt":0.5442823085104525,"score_spread":0.2553007811987165,"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."}}