{"id":"W4320164150","doi":"10.35730/jk.v11i1.573","title":"APLIKASI MEDCO DALAM MENINGKATKAN PENGETAHUAN KADER TERKAIT KOMPLIKASI KEHAMILAN","year":2020,"lang":"id","type":"article","venue":"Jurnal Kesehatan","topic":"Public Health and Nutrition","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Medicine; Gynecology; Obstetrics","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":[0.002186022,0.0006026326,0.0008314261,0.001077662,0.0009331973,0.001817317,0.0005392619,0.0008458045,0.02998083],"category_scores_gemma":[0.004573083,0.0003128287,0.0007751741,0.000885601,0.0005233926,0.0008038722,0.0009251041,0.001061107,0.00476136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047235,"about_ca_system_score_gemma":0.002654707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003347201,"about_ca_topic_score_gemma":0.005420984,"domain_scores_codex":[0.998322,0.0005258064,0.0001980513,0.0002670891,0.0005082792,0.0001787918],"domain_scores_gemma":[0.9969554,0.001140686,0.0004452126,0.0002341676,0.0007102228,0.0005143756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007876218,0.003648239,0.1155401,0.004730307,0.0003939324,0.001712559,0.00359455,0.0008880448,0.05018363,0.002705865,0.0253174,0.7834092],"study_design_scores_gemma":[0.001315835,0.02252501,0.4399072,0.003209311,0.001378102,0.006928615,0.009891215,0.003211979,0.08774208,0.004797707,0.4187991,0.0002938889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8059144,0.0438575,0.0225205,0.01102156,0.00260871,0.003802797,0.006523994,0.001567642,0.1021828],"genre_scores_gemma":[0.8399749,0.0217515,0.02907534,0.003258177,0.0007187718,0.002276293,0.002618049,0.0002487864,0.1000782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02998083,"threshold_uncertainty_score":0.1002959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05219251089238679,"score_gpt":0.3027371062497695,"score_spread":0.2505445953573827,"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."}}