{"id":"W2954065469","doi":"10.33088/jmk.v9i2.314","title":"HUBUNGAN INDEKSMASSA TUBUH DAN LINGKAR PINGGANG DENGAN TEKANAN DARAH LAKI-LAKI DEWASA","year":2018,"lang":"en","type":"article","venue":"JURNAL MEDIA KESEHATAN","topic":"Public Health and Nutrition","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Medicine; Waist; Blood pressure; Internal medicine; Body mass index","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00132274,0.0003756322,0.0006371738,0.0005390841,0.0004355856,0.0001002665,0.0003633869,0.0003955154,0.0001485525],"category_scores_gemma":[0.002415478,0.0003331274,0.000169383,0.0008266127,0.0003388287,0.000417357,0.00009887993,0.001052706,0.0002206636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003070324,"about_ca_system_score_gemma":0.0008094241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001549533,"about_ca_topic_score_gemma":0.0006542889,"domain_scores_codex":[0.9963116,0.0001870495,0.0007951989,0.0005924558,0.001011239,0.001102442],"domain_scores_gemma":[0.9966109,0.0003480723,0.0002629417,0.0007097397,0.000502062,0.001566295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001022554,0.001091998,0.8760871,0.0006869299,0.000215619,0.000967233,0.004228659,2.302391e-7,0.03459294,0.001556241,0.01502368,0.06452683],"study_design_scores_gemma":[0.006350036,0.002194908,0.790589,0.001358745,0.0002547504,0.0008698768,0.00166319,0.0002452507,0.02853027,0.0004722314,0.1666684,0.0008033797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861032,0.0007332131,0.000141362,0.005384327,0.002315638,0.0005775352,0.00004409945,0.0002688042,0.004431759],"genre_scores_gemma":[0.9895436,0.000176051,0.001143094,0.001612325,0.006993648,0.00004218174,0.0002220473,0.00008027377,0.0001867789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1516447,"threshold_uncertainty_score":0.9999121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03107535918423266,"score_gpt":0.3169270388182246,"score_spread":0.285851679633992,"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."}}