{"id":"W4390519150","doi":"10.21203/rs.3.rs-3807726/v1","title":"Values and preferences towards the use of prophylactic low-molecular-weight heparin during pregnancy: A convergent mixed-methods secondary analysis of data from the Decision Analysis in SHared decision making for Thromboprophylaxis during Pregnancy (DASH-TOP) study","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Universitat Autònoma de Barcelona","keywords":"Low molecular weight heparin; Heparin; Decision analysis; Pregnancy; Obstetrics; Medicine; Surgery; Statistics; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02151462,0.0005806136,0.0009386118,0.0006720473,0.0008474882,0.002080803,0.0008732283,0.00133116,0.002884465],"category_scores_gemma":[0.06559828,0.0005382869,0.00207997,0.0007788003,0.001326902,0.001060526,0.001589127,0.001780933,0.0003439901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008424111,"about_ca_system_score_gemma":0.00124824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003083154,"about_ca_topic_score_gemma":0.002471497,"domain_scores_codex":[0.9767023,0.01867043,0.001293672,0.00127577,0.001441073,0.0006167522],"domain_scores_gemma":[0.9250935,0.05914743,0.009320635,0.00311522,0.001908768,0.001414516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01298938,0.002396685,0.9504814,0.0003754124,0.003721668,0.000125509,0.01110461,0.0009248934,0.0005200172,0.001345229,0.0006553425,0.01535991],"study_design_scores_gemma":[0.002420467,0.005876866,0.9590333,0.0003629631,0.001896351,0.0002695252,0.01309144,0.01048996,0.0009672161,0.003961263,0.001451088,0.0001796548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986707,0.00008550378,0.0004887311,0.0001037776,0.00001266078,0.00007508813,0.0002237591,0.000001633962,0.0003382419],"genre_scores_gemma":[0.998105,0.00006446425,0.0009534162,0.00009420758,0.00001210107,0.0002144303,0.000332668,0.000004815391,0.0002187528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02151462,"threshold_uncertainty_score":0.1137816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1317919849694823,"score_gpt":0.4490532091863084,"score_spread":0.317261224216826,"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."}}