{"id":"W1932087291","doi":"10.1111/j.1542-4758.2011.00601.x","title":"Optimization of heparin anticoagulation for hemodialysis","year":2011,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"Central Venous Catheters and Hemodialysis","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Heparin; Bolus (digestion); Hemodialysis; Extracorporeal; Anticoagulant; Anesthesia; Dialysis; Surgery; Intensive care medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007328891,0.000444467,0.0005025506,0.0004948935,0.0002998569,0.001125765,0.0003463987,0.0003730121,0.002697193],"category_scores_gemma":[0.001400916,0.0001532652,0.0002374401,0.0004606956,0.0001310213,0.000485092,0.0003730447,0.0004476667,0.0008986296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005027295,"about_ca_system_score_gemma":0.0007666898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007604405,"about_ca_topic_score_gemma":0.001071432,"domain_scores_codex":[0.9993411,0.0002000607,0.00004746889,0.0000740298,0.0002678985,0.00006944806],"domain_scores_gemma":[0.9996949,0.00009914412,0.00006194998,0.0000148105,0.0001025924,0.00002656177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001245003,0.00121151,0.01654215,0.001280393,0.000175975,0.0004130712,0.0003135445,0.03828802,0.2740989,0.007383571,0.01463294,0.6444148],"study_design_scores_gemma":[0.000705058,0.006149045,0.07107972,0.0007799195,0.0006463306,0.004250241,0.000923655,0.1721231,0.3894575,0.0182289,0.335413,0.0002434622],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5098642,0.1175817,0.2647969,0.005927772,0.0005678484,0.00122519,0.0007996809,0.001514945,0.09772185],"genre_scores_gemma":[0.8479846,0.01964447,0.1234331,0.0008811977,0.0002499525,0.0003164804,0.0005580586,0.0001619735,0.006770151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002697193,"threshold_uncertainty_score":0.009023011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07701450813345975,"score_gpt":0.355058447685228,"score_spread":0.2780439395517682,"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."}}