{"id":"W4211085094","doi":"10.1111/vcp.13055","title":"Assessment of thrombin generation in horses using a calibrated automated thrombogram","year":2022,"lang":"en","type":"article","venue":"Veterinary Clinical Pathology","topic":"Veterinary Equine Medical Research","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Thrombin; Heparin; Thrombin generation; Low molecular weight heparin; Medicine; Anticoagulant; Coagulopathy; Immunology; Internal medicine; Pharmacology; Platelet","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":[0.001606175,0.0004279034,0.0003292004,0.001387804,0.0001892215,0.0006422486,0.0003348617,0.0006641523,0.000685952],"category_scores_gemma":[0.003657395,0.000187026,0.0001997366,0.0004845331,0.0006084006,0.0003188459,0.0002166913,0.0003649435,0.0002059862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004606898,"about_ca_system_score_gemma":0.0002004839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009106307,"about_ca_topic_score_gemma":0.0008366004,"domain_scores_codex":[0.9979488,0.0007704643,0.0001651045,0.0002963518,0.0007229599,0.00009626438],"domain_scores_gemma":[0.9980598,0.0005839268,0.0005843136,0.0001444018,0.0005212251,0.0001062897],"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":[0.002558447,0.0004172804,0.3477319,0.0003476983,0.0002745109,0.000394243,0.0007145975,0.002017784,0.5895616,0.0002985733,0.0004729691,0.05521046],"study_design_scores_gemma":[0.00006888301,0.009825733,0.6918112,0.00007909204,0.0003897655,0.003108532,0.0002700356,0.01676361,0.2751458,0.0002109982,0.002242422,0.00008390248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840223,0.001078616,0.01354512,0.00003741105,0.00002015368,0.0001601925,0.0002134977,0.0001073925,0.0008152289],"genre_scores_gemma":[0.9885732,0.0002549232,0.01061941,0.00004912514,0.00001861183,0.00006718389,0.0002152268,0.00001016103,0.0001921736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001606175,"threshold_uncertainty_score":0.008494377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4171643810091198,"score_gpt":0.5526702155039664,"score_spread":0.1355058344948467,"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."}}