{"id":"W6936227656","doi":"10.57945/manara.23939403","title":"Rising blood pressure in Bangladesh","year":2023,"lang":"en","type":"other","venue":"Qatar National Library","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blood pressure; Anthropometry; Waist; Obesity; Population; Stroke (engine); Quarter (Canadian coin); Family history","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005120827,0.0003881381,0.0003356607,0.001300627,0.001783357,0.001314956,0.0003985674,0.0005534408,0.01095222],"category_scores_gemma":[0.001231379,0.0002497059,0.0003436489,0.002633583,0.0004707638,0.0006944226,0.001064293,0.001128895,0.00215339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002143768,"about_ca_system_score_gemma":0.001868591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07011593,"about_ca_topic_score_gemma":0.06152554,"domain_scores_codex":[0.999562,0.00008343038,0.00007611259,0.00007621886,0.0001013875,0.0001008308],"domain_scores_gemma":[0.9993536,0.00005713291,0.0001292908,0.00003497114,0.0001779872,0.0002470099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003492207,0.0001967423,0.7385696,0.001067297,0.0001660446,0.01415009,0.011522,0.0001316831,0.005197261,0.006305786,0.05254212,0.1698022],"study_design_scores_gemma":[0.00007550184,0.0002454776,0.8118232,0.0007832855,0.00009630456,0.01317744,0.0150428,0.0002326834,0.0003602132,0.002325411,0.1556885,0.0001491887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7666373,0.03204898,0.000722527,0.0404116,0.001449122,0.0003260334,0.008829993,0.0001629335,0.1494115],"genre_scores_gemma":[0.9597766,0.01997574,0.0007300651,0.005611626,0.0003467741,0.000140127,0.00225682,0.000029208,0.011133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07011593,"threshold_uncertainty_score":0.1394156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588669224145105,"score_gpt":0.253741761386281,"score_spread":0.23785506914483,"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."}}