{"id":"W2763672930","doi":"10.1093/eurheartj/ehx504.p3263","title":"P3263North American compliance with the shock reduction programming recommendations","year":2017,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Compliance (psychology); Shock (circulatory); Reduction (mathematics); Intensive care medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00498756,0.0001501592,0.0001736047,0.0007740576,0.0009731737,0.001128431,0.001341202,0.001031473,0.02134581],"category_scores_gemma":[0.02121249,0.0001865626,0.0003237039,0.001466747,0.0003787726,0.0004581039,0.0009559314,0.001287438,0.003129742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002686014,"about_ca_system_score_gemma":0.02074687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2229126,"about_ca_topic_score_gemma":0.2494844,"domain_scores_codex":[0.9944622,0.001019475,0.0008327219,0.0004242421,0.002615012,0.0006464453],"domain_scores_gemma":[0.9694445,0.005031738,0.005199524,0.001816021,0.01550764,0.003000496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001368766,0.0003453616,0.2545576,0.000666889,0.00004770994,0.0002998956,0.001150519,0.0003969589,0.001188511,0.00244776,0.519211,0.219551],"study_design_scores_gemma":[0.0000715601,0.0001269301,0.4554295,0.001265448,0.00003250693,0.0004038705,0.001073192,0.0005584452,0.0004721147,0.0004195933,0.5401131,0.00003367868],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2275763,0.006982384,0.007696436,0.1617509,0.004613359,0.001998305,0.04005039,0.001613173,0.5477188],"genre_scores_gemma":[0.7613595,0.009401259,0.02524012,0.08128247,0.002816414,0.002561824,0.02894459,0.0004445807,0.08794932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7770875,"threshold_uncertainty_score":0.4432301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05037168244152292,"score_gpt":0.2878473333453161,"score_spread":0.2374756509037932,"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."}}