{"id":"W3154595484","doi":"10.24843/ach.2021.v08.i01.p06","title":"PEMETAAN DISTRIBUSI KEJADIAN DAN FAKTOR RISIKO STUNTING DI KABUPATEN BANGLI TAHUN 2019 DENGAN MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS","year":2021,"lang":"id","type":"article","venue":"ARCHIVE OF COMMUNITY HEALTH","topic":"Public Health and Nutrition","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Forestry; Geography","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","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004971341,0.0006430176,0.001806022,0.0005382856,0.002273821,0.0001218176,0.0008897585,0.0003021128,0.00009265888],"category_scores_gemma":[0.002092082,0.0006877663,0.0004910835,0.001111403,0.0005034923,0.0004744098,0.000789165,0.003801283,0.0000567384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006236307,"about_ca_system_score_gemma":0.004751869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01804587,"about_ca_topic_score_gemma":0.01710479,"domain_scores_codex":[0.9886977,0.005629149,0.00231417,0.0004210291,0.0009853361,0.00195261],"domain_scores_gemma":[0.9912501,0.002052227,0.001326552,0.002208715,0.000775345,0.002387041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009751486,0.007175884,0.6507746,0.02729127,0.001244381,0.0001446444,0.05809259,0.00001187263,0.001010005,0.007010182,0.01340203,0.2328674],"study_design_scores_gemma":[0.004580405,0.002336052,0.7983025,0.002434895,0.0001987122,0.0000916556,0.01923054,0.0002410087,0.000605593,0.0002563839,0.1712001,0.0005221559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532856,0.007937905,0.0004978202,0.02145782,0.0007812321,0.001742213,0.001297945,0.000169314,0.01283011],"genre_scores_gemma":[0.9780163,0.006283822,0.001175652,0.003047212,0.000451623,0.0000440185,0.01022067,0.00009096662,0.0006696975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2323452,"threshold_uncertainty_score":0.9995574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03138320415148733,"score_gpt":0.3171343716422239,"score_spread":0.2857511674907365,"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."}}