{"id":"W2999811531","doi":"10.1053/j.jvca.2019.12.046","title":"In Vivo Protamine Titration Using Activated Coagulation Time to Neutralize Heparin Anticoagulation in Cardiac Surgery: Proof of Concept","year":2020,"lang":"en","type":"article","venue":"Journal of Cardiothoracic and Vascular Anesthesia","topic":"Cardiac and Coronary Surgery Techniques","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Protamine; Heparin; Medicine; Activated clotting time; Cardiopulmonary bypass; Protamine sulfate; Anesthesia; Coagulation; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001737675,0.0006721273,0.0004338177,0.0001707604,0.000248583,0.0007733587,0.0008744144,0.001011715,0.0013771],"category_scores_gemma":[0.001162685,0.0002381765,0.0004338703,0.0001129583,0.0007968564,0.0006701864,0.0003719559,0.001620894,0.0002970933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002699307,"about_ca_system_score_gemma":0.0007852071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002999819,"about_ca_topic_score_gemma":0.0001893737,"domain_scores_codex":[0.9994814,0.0001191113,0.00001787376,0.00008665029,0.0002278203,0.00006715392],"domain_scores_gemma":[0.9995499,0.0001731817,0.00008676754,0.00003640119,0.00007488667,0.00007892654],"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":[0.00142014,0.0009499221,0.0002261221,0.0002502908,0.00004196264,0.00009840859,0.00007881603,0.0002752391,0.9821546,0.0008719362,0.0008153439,0.01281732],"study_design_scores_gemma":[0.0008702195,0.008289213,0.001077662,0.00003555327,0.000100041,0.0005786671,0.00004451917,0.005025035,0.977765,0.0003496842,0.00582939,0.00003498217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8339893,0.009316035,0.1455564,0.002425008,0.00224922,0.001771765,0.000403408,0.0005459629,0.003742954],"genre_scores_gemma":[0.9307292,0.003797043,0.06068901,0.001043917,0.0003980314,0.0004615392,0.0003251055,0.00004413205,0.002512001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001737675,"threshold_uncertainty_score":0.009189785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02337219735397536,"score_gpt":0.2822694530083009,"score_spread":0.2588972556543255,"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."}}