{"id":"W2742986982","doi":"10.33086/jhs.v8i2.209","title":"ASI EKSKLUSIF MENINGKATKAN PERKEMBANGAN BAYI USIA 6-12 BULAN DI WILAYAH KERJA PUSKESMAS BANYU URIP SURABAYA","year":2018,"lang":"en","type":"article","venue":"Journal of Health Sciences","topic":"Public Health and Nutrition","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Breastfeeding; Medicine; Breast milk; Simple random sample; Population; Statistical analysis; Demography; Environmental health; Pediatrics; Statistics; Mathematics","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":[0.0004315069,0.0005805873,0.0003454911,0.0004048584,0.001234589,0.001184267,0.0002999659,0.0004583621,0.01510914],"category_scores_gemma":[0.0005357747,0.0001958126,0.0002453063,0.0004813328,0.0003544345,0.0006176602,0.001034671,0.0006499444,0.001382067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001418924,"about_ca_system_score_gemma":0.004173081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03243371,"about_ca_topic_score_gemma":0.0365627,"domain_scores_codex":[0.9997762,0.00003358076,0.0000223942,0.00002628364,0.00005923889,0.00008234167],"domain_scores_gemma":[0.9997317,0.00005026074,0.00005547955,0.00001109777,0.00009755776,0.00005377975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001319402,0.0007691747,0.488471,0.003052109,0.0002164298,0.0138402,0.009433649,0.0009836701,0.0180524,0.009154156,0.03442872,0.4202791],"study_design_scores_gemma":[0.00008582366,0.000592828,0.7360721,0.002014073,0.0003101518,0.009235158,0.04364265,0.001713214,0.009248449,0.001622395,0.1953744,0.00008880068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.922878,0.01707349,0.0009377727,0.005825351,0.0007920694,0.0001471689,0.001592486,0.0001031681,0.05065055],"genre_scores_gemma":[0.9375024,0.01761805,0.002010934,0.0008477914,0.0001247774,0.0001095209,0.001571004,0.00002181799,0.04019374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03243371,"threshold_uncertainty_score":0.06448984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05880721725202018,"score_gpt":0.3771337370626553,"score_spread":0.3183265198106351,"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."}}