{"id":"W4414765704","doi":"10.71128/kybernology.v2i2.145","title":"ANALISIS EFEKTIVITAS AKSI KONVERGENSI/INTEGRASI STUNTING DI WILAYAH KABUPATEN ACEH JAYA","year":2024,"lang":"id","type":"article","venue":"Kybernology Jurnal Ilmu Pemerintahan dan Administrasi Publik","topic":"Public Health and Nutrition","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Population; Statistical analysis; Xerophthalmia","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":[0.001865051,0.0005103214,0.0007293584,0.0006285599,0.0003226385,0.001013304,0.0005414385,0.0003795522,0.006809196],"category_scores_gemma":[0.002782097,0.0002023842,0.001676719,0.0009025877,0.0002303832,0.000561917,0.0005460217,0.001188158,0.000671753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009917954,"about_ca_system_score_gemma":0.002255496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02578064,"about_ca_topic_score_gemma":0.04431857,"domain_scores_codex":[0.9990263,0.0003184812,0.00006294292,0.000170999,0.0002743461,0.0001468595],"domain_scores_gemma":[0.9969771,0.001726909,0.0003518095,0.00009710265,0.0005433307,0.0003037183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01555207,0.006942552,0.6058671,0.006784373,0.003645428,0.0005177452,0.003617342,0.007959842,0.01436816,0.001464276,0.008690712,0.3245904],"study_design_scores_gemma":[0.0003220843,0.009822498,0.9454699,0.0008853481,0.003435032,0.0002074822,0.004411085,0.005347404,0.008074493,0.0009805519,0.02097209,0.00007201319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775439,0.003043254,0.001917298,0.0006437803,0.00007015854,0.000439782,0.006630361,0.00008583561,0.009625733],"genre_scores_gemma":[0.9797463,0.001827278,0.003570657,0.000209864,0.00002143247,0.0004944103,0.00329822,0.00003810879,0.01079378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02578064,"threshold_uncertainty_score":0.05126119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02869026321088102,"score_gpt":0.3240030764204182,"score_spread":0.2953128132095372,"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."}}