{"id":"W3092122855","doi":"10.12688/f1000research.27115.1","title":"Recent advances in understanding, diagnosing and treating venous thrombosis","year":2020,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Thrombosis and Atherosclerosis Research Institute","funders":"","keywords":"Venous thromboembolism; Medicine; Intensive care medicine; Aspirin; Open peer review; Venous thrombosis; Thrombosis; Plant biology; Bioinformatics; Internal medicine; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006565634,0.0003452986,0.001039335,0.0004576757,0.000164267,0.0001550151,0.0002396455,0.0002356171,0.0003071591],"category_scores_gemma":[0.0004972334,0.0003312954,0.0001045723,0.0004232476,0.0001869602,0.0001170038,0.001323239,0.001204294,0.00003082184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009179258,"about_ca_system_score_gemma":0.000272379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003068565,"about_ca_topic_score_gemma":0.0003013041,"domain_scores_codex":[0.9969847,0.0001732815,0.0004705969,0.0009016012,0.0007980332,0.0006717845],"domain_scores_gemma":[0.9986584,0.0003341989,0.0001259162,0.0004681965,0.00008627889,0.0003270346],"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":[0.0006273739,0.007130161,0.2502765,0.0174085,0.001434894,0.003136017,0.01805829,0.001087565,0.000887907,0.02201353,0.03598087,0.6419584],"study_design_scores_gemma":[0.007446659,0.004481931,0.616335,0.01594973,0.001098182,0.00005880917,0.01276542,0.007959435,0.001069466,0.08135135,0.2491543,0.002329746],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5891414,0.217473,0.001780538,0.07355826,0.001464073,0.01078395,0.0001354363,0.000693736,0.1049696],"genre_scores_gemma":[0.6768242,0.3213674,0.0005444719,0.0004813275,0.0002770649,0.0002847216,0.00008532566,0.00008216759,0.00005326731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6396286,"threshold_uncertainty_score":0.9999139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1588285494043023,"score_gpt":0.4025035366124136,"score_spread":0.2436749872081113,"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."}}