{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001036197,0.0004883375,0.0004354744,0.001151972,0.001894445,0.004079771,0.0005662857,0.000770346,0.03160183],"category_scores_gemma":[0.002098512,0.0003682886,0.0004191703,0.002912065,0.0006502095,0.001460936,0.002191664,0.001331605,0.00881517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002930516,"about_ca_system_score_gemma":0.003373406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06998242,"about_ca_topic_score_gemma":0.1064006,"domain_scores_codex":[0.9990005,0.0001875957,0.00007385017,0.0001895878,0.0003318341,0.0002167381],"domain_scores_gemma":[0.9981776,0.0003576138,0.0002755793,0.0001622688,0.000726503,0.0003005047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008369365,0.0002539541,0.4477764,0.00257657,0.0003130313,0.001828782,0.01738338,0.001292251,0.006754483,0.01608905,0.1211091,0.3837861],"study_design_scores_gemma":[0.00002432199,0.0001850529,0.4877212,0.0006811159,0.0001742299,0.0007811155,0.02190255,0.0009608151,0.003730001,0.001765315,0.4819898,0.00008444321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6096041,0.0145105,0.007462612,0.01899441,0.001220279,0.0003225771,0.0404409,0.001019725,0.3064249],"genre_scores_gemma":[0.7988155,0.01090625,0.004972478,0.001888741,0.0002083712,0.0001720436,0.01692281,0.0002094373,0.1659044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06998242,"threshold_uncertainty_score":0.1391501,"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."}}