{"id":"W2973193225","doi":"10.31602/tji.v10i3.2232","title":"APLIKASI DATA PASIEN DAN PENENTUAN GIZI IBU HAMIL PADA PUSKESMAS SUNGAI TABUK","year":2019,"lang":"id","type":"article","venue":"Technologia Jurnal Ilmiah","topic":"Public Health and Nutrition","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Physics; Medicine; Gynecology","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","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.001899792,0.0007998566,0.001300646,0.0008738694,0.0004039205,0.0001824316,0.002793935,0.001725439,0.0007448711],"category_scores_gemma":[0.001395008,0.0007253755,0.000220033,0.001560806,0.0005339599,0.0009016266,0.001146897,0.00336114,0.003171512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005835586,"about_ca_system_score_gemma":0.001292843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004307916,"about_ca_topic_score_gemma":0.0001199417,"domain_scores_codex":[0.9933034,0.0002018409,0.001442799,0.001678602,0.001241534,0.002131876],"domain_scores_gemma":[0.9933609,0.0002522648,0.0007080027,0.004396835,0.0003671759,0.0009147664],"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":[0.001837349,0.00410526,0.5256761,0.003640365,0.001026197,0.001701565,0.000390099,0.000002144765,0.08110213,0.01088971,0.1789863,0.1906428],"study_design_scores_gemma":[0.01078989,0.003971118,0.1483793,0.002278416,0.0007286856,0.001193373,0.002914198,0.001359634,0.01560614,0.0008515948,0.8102527,0.001674876],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9386576,0.0130885,0.0001581625,0.02950413,0.00299199,0.002397657,0.0004448892,0.001380381,0.0113767],"genre_scores_gemma":[0.9841264,0.005689181,0.0009963636,0.001431792,0.0009906264,0.00006822999,0.001638329,0.0001350748,0.004924042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6312665,"threshold_uncertainty_score":0.9995705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03968550385607194,"score_gpt":0.3043051276012261,"score_spread":0.2646196237451541,"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."}}