{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001091519,0.0008519695,0.001405433,0.0003822101,0.0005552371,0.0003113993,0.0007962233,0.0006489984,0.001986622],"category_scores_gemma":[0.0009226993,0.0008075488,0.00046183,0.001126793,0.0002896631,0.0007013973,0.0002684889,0.002264753,0.001825871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004579745,"about_ca_system_score_gemma":0.001081792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008202605,"about_ca_topic_score_gemma":0.00003397216,"domain_scores_codex":[0.9929826,0.000435802,0.001674248,0.001280875,0.001660947,0.00196548],"domain_scores_gemma":[0.9938393,0.0002586101,0.0005856946,0.0008453686,0.0003861867,0.004084846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008601667,0.004269034,0.4807437,0.01444037,0.002545668,0.007745868,0.0299261,0.000006695361,0.04955025,0.009703807,0.298894,0.09357273],"study_design_scores_gemma":[0.01164464,0.005005139,0.1847055,0.001837512,0.0009214407,0.0007997376,0.004277299,0.00158091,0.003760883,0.0003102997,0.7835516,0.001605032],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.609644,0.01597182,0.001086888,0.2710574,0.004276768,0.003970685,0.0004928165,0.0009698623,0.09252978],"genre_scores_gemma":[0.976222,0.001524968,0.0009231876,0.008706135,0.007982982,0.00008464544,0.0006440419,0.0002104236,0.003701597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4846575,"threshold_uncertainty_score":0.9994375,"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."}}