{"id":"W2048297747","doi":"10.1136/ebm.13.5.133","title":"Why A-level evidence does not make it to clinicians' A-list: the case of thromboprophylaxis in medical patients","year":2008,"lang":"en","type":"article","venue":"Evidence-Based Medicine","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton","funders":"","keywords":"Medicine; Medical emergency","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"evaluation","study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["scholarly_communication"],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003132603,0.0004392866,0.001476734,0.0004868854,0.0002103816,0.0000113064,0.00063258,0.0002214084,0.002149561],"category_scores_gemma":[0.0154889,0.0002403209,0.0002170269,0.001204846,0.0009526073,0.0002032512,0.0002242952,0.0006052307,0.00007166568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000236195,"about_ca_system_score_gemma":0.0005919364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01002434,"about_ca_topic_score_gemma":0.006222064,"domain_scores_codex":[0.9944799,0.0003666927,0.0016051,0.0008087483,0.0020727,0.0006668515],"domain_scores_gemma":[0.9940078,0.003092935,0.0003816287,0.001297614,0.0005982466,0.0006217969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00407103,0.006929517,0.3409138,0.004183593,0.0005502786,0.03020194,0.01527457,0.0001448782,0.002006395,0.0009448819,0.4449652,0.149814],"study_design_scores_gemma":[0.009537236,0.01142048,0.8913503,0.04629906,0.0008415666,0.0005601376,0.002742804,0.0008796083,0.004907801,0.0001223632,0.03046706,0.0008715454],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.775758,0.001291745,0.0004635233,0.2191019,0.0009371492,0.002005529,0.00002192946,0.00004962033,0.0003706491],"genre_scores_gemma":[0.9058909,0.002771802,0.0003716694,0.08982794,0.0006431562,0.0001904347,0.00001268455,0.00004364034,0.0002477722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5504366,"threshold_uncertainty_score":0.9987626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1255450203080499,"score_gpt":0.3661914099737834,"score_spread":0.2406463896657335,"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."}}