{"id":"W2482060486","doi":"10.1186/s13012-016-0463-x","title":"Implementation of a post-arrest care team: understanding the nuances of a team-based intervention","year":2015,"lang":"en","type":"article","venue":"Implementation Science","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Medicine; Health informatics; Health services research; Intervention (counseling); Health administration; Nursing; Public health; Rapid response team; Health care; Medical education; Medical emergency","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.07500882,0.000872563,0.0008944384,0.001784881,0.008495885,0.008741045,0.004545352,0.004756163,0.001772112],"category_scores_gemma":[0.08042867,0.0008177629,0.0008199599,0.001029474,0.01799275,0.00938014,0.008635866,0.006073693,0.0002001919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01261443,"about_ca_system_score_gemma":0.02267982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005863926,"about_ca_topic_score_gemma":0.009582936,"domain_scores_codex":[0.8523899,0.1332642,0.002321932,0.002161987,0.005032863,0.004829078],"domain_scores_gemma":[0.9298893,0.05338161,0.004474733,0.001841275,0.003946249,0.006466836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001593322,0.00158113,0.008619353,0.002806029,0.00009123354,0.001112351,0.8998802,0.00082685,0.001209998,0.01402452,0.002289527,0.06739955],"study_design_scores_gemma":[0.0001727081,0.003337115,0.01889925,0.005631186,0.0001386036,0.0004522673,0.9172557,0.002453048,0.001444401,0.01206695,0.0380441,0.0001045834],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8418829,0.003988117,0.04235538,0.07719775,0.0008388314,0.005621269,0.00008102717,0.0002603763,0.02777427],"genre_scores_gemma":[0.9644241,0.001549915,0.02600111,0.002883793,0.00008140603,0.004121941,0.00002605009,0.0000456801,0.0008659748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07500882,"threshold_uncertainty_score":0.3966893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08877133957790993,"score_gpt":0.4539889651554443,"score_spread":0.3652176255775344,"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."}}