{"id":"W4406564633","doi":"10.1016/j.ypdi.2015.09.001","title":"10.1016/j.ypdi.2015.09.001","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Critically ill; Intensive care medicine; Anticoagulant; Surgery","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005542643,0.0007914542,0.0004423538,0.00140487,0.0007107821,0.002074597,0.0008938275,0.002890585,0.8407638],"category_scores_gemma":[0.001629053,0.0003322503,0.0004462563,0.0005962495,0.0006146245,0.001928866,0.001009859,0.001554794,0.7751731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000783854,"about_ca_system_score_gemma":0.000999156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002360485,"about_ca_topic_score_gemma":0.002098143,"domain_scores_codex":[0.9997177,0.00002782346,0.00002789554,0.00006203884,0.00008135042,0.00008317269],"domain_scores_gemma":[0.9989837,0.0001746962,0.000137702,0.0000440798,0.0001817955,0.0004780491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002871878,0.0003553648,0.01234289,0.0004418277,0.00003918661,0.0008900867,0.0001204189,0.0002329103,0.0006739063,0.003158111,0.2939201,0.687538],"study_design_scores_gemma":[0.00009018073,0.0001710781,0.01105601,0.001256883,0.00004751633,0.0084937,0.0004358269,0.0003751027,0.0005805664,0.004759629,0.9727004,0.00003318592],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009690499,0.01841598,0.003211385,0.01726147,0.003380409,0.0001179333,0.003479519,0.001668837,0.942774],"genre_scores_gemma":[0.03753874,0.009997037,0.004289186,0.005182032,0.002040988,0.0001247494,0.003191641,0.0003656574,0.9372698],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1592362,"threshold_uncertainty_score":0.227131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007431096259708053,"score_gpt":0.2117221883305564,"score_spread":0.2042910920708484,"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."}}