{"id":"W2006283062","doi":"10.1016/j.vascn.2007.03.010","title":"A cardiovascular monitoring system in conscious cynomolgus monkeys for regulatory safety pharmacology","year":2007,"lang":"en","type":"article","venue":"Journal of Pharmacological and Toxicological Methods","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute; L'Alliance Boviteq; Université de Montréal; Armand Frappier Museum","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Université de Montréal","keywords":"Telemetry; Safety pharmacology; Reliability engineering; Reliability (semiconductor); Biotelemetry; Protocol (science); Computer science; Medicine; Engineering; Pharmacology; Telecommunications; Pathology","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":[0.000736111,0.0003123278,0.000391599,0.0002463066,0.0006910978,0.0004257137,0.0003687691,0.0006461404,0.0010777],"category_scores_gemma":[0.0008870101,0.0001766949,0.00025107,0.0001240645,0.0005305667,0.0004008128,0.0004106269,0.0006696462,0.0003190606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005135833,"about_ca_system_score_gemma":0.001053396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001747182,"about_ca_topic_score_gemma":0.002444936,"domain_scores_codex":[0.999529,0.000154143,0.00001840916,0.000151108,0.00009971029,0.00004765164],"domain_scores_gemma":[0.9995102,0.0001076842,0.00006056024,0.00009368883,0.000127811,0.0001000296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002522615,0.0003894123,0.008820855,0.0001351228,0.00005956815,0.0002823161,0.0003682445,0.0002815122,0.9500663,0.000517956,0.001389337,0.03516675],"study_design_scores_gemma":[0.000810448,0.02213894,0.118903,0.0001740985,0.001143817,0.003354327,0.0005598732,0.02535602,0.8054464,0.001555501,0.02042644,0.0001311275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9307886,0.001102978,0.0624204,0.0007353202,0.0002430475,0.0006705621,0.0005282615,0.0008438363,0.00266712],"genre_scores_gemma":[0.9392,0.0009072067,0.05408214,0.0008799933,0.0001677429,0.0009258271,0.0004071171,0.0001188687,0.003311043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001747182,"threshold_uncertainty_score":0.003893018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03831075058503956,"score_gpt":0.3984107131573045,"score_spread":0.3600999625722649,"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."}}