{"id":"W4406521664","doi":"10.1016/j.yvas.2014.04.116","title":"10.1016/j.yvas.2014.04.116","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Diagnosis and Treatment of Venous Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Hemodynamics; Class (philosophy); Compression stockings; Cardiology; Compression (physics); Internal medicine; Thrombosis; Composite material; Artificial intelligence; Computer science","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":[0.000628361,0.0009463784,0.0005699703,0.001564564,0.0008145525,0.002691128,0.0008707955,0.003022038,0.8261257],"category_scores_gemma":[0.00179401,0.000384937,0.0005850242,0.0006737217,0.000875521,0.002291873,0.001019485,0.001831948,0.7263482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007829767,"about_ca_system_score_gemma":0.001277111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001986503,"about_ca_topic_score_gemma":0.001954942,"domain_scores_codex":[0.9996711,0.00003399104,0.00003124466,0.00008638487,0.00009588195,0.00008132213],"domain_scores_gemma":[0.9991077,0.0001638854,0.0001266133,0.00005391313,0.0002020163,0.0003458737],"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":[0.0003034038,0.0002898487,0.007085926,0.0005164648,0.00005228735,0.0006647197,0.00009360636,0.0001932446,0.0005438209,0.004822128,0.302543,0.6828915],"study_design_scores_gemma":[0.00009442411,0.0001835549,0.007899982,0.001595117,0.00006728478,0.007855649,0.0002861277,0.0002925171,0.000450498,0.006888194,0.9743494,0.00003724276],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008124287,0.03919872,0.002952012,0.01767473,0.005258906,0.0001208078,0.003331516,0.00155451,0.9217845],"genre_scores_gemma":[0.0342557,0.01841128,0.002962108,0.004696722,0.003218272,0.0001240841,0.00250804,0.0004239313,0.9333999],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1738743,"threshold_uncertainty_score":0.2480106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006880479936477707,"score_gpt":0.2022208103057362,"score_spread":0.1953403303692585,"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."}}