{"id":"W2990560747","doi":"10.36565/jab.v7i1.67","title":"HUBUNGAN PENGETAHUAN DAN MOTIVASI IBU DENGAN PEMBERIAN MP-ASI DI WILAYAH KERJA PUSKESMAS RAWASARI KOTA JAMBI","year":2018,"lang":"en","type":"article","venue":"Jurnal Akademika Baiturrahim Jambi","topic":"Public Health and Nutrition","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alpha Technologies (Canada); WiLAN (Canada)","funders":"","keywords":"Bivariate analysis; Breast milk; Medicine; Malnutrition; Population; Habit; Univariate analysis; Environmental health; Breastfeeding; Gynecology; Pediatrics; Demography; Multivariate analysis; Psychology; Social psychology; Mathematics; Internal medicine; Statistics","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":[0.0003364528,0.0002108479,0.0001520114,0.000483027,0.0005918872,0.000663232,0.0001932701,0.0002194555,0.008593269],"category_scores_gemma":[0.0007835224,0.000169871,0.0001515101,0.0004065882,0.0002339613,0.0003592693,0.000432675,0.0003746413,0.0007049462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003109275,"about_ca_system_score_gemma":0.0007723178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001967235,"about_ca_topic_score_gemma":0.00397875,"domain_scores_codex":[0.999795,0.00006372889,0.00001693335,0.0000227876,0.00005540031,0.00004611157],"domain_scores_gemma":[0.9996293,0.0001139072,0.0001159613,0.00001358853,0.00004971274,0.00007758111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000204281,0.000722394,0.8514417,0.000611693,0.00005127428,0.001206176,0.006201843,0.0001346784,0.002865248,0.001486899,0.003324976,0.1317489],"study_design_scores_gemma":[0.00001155184,0.0002580117,0.9708727,0.0002729816,0.00004773998,0.001417536,0.01158922,0.000372627,0.0012237,0.0003908465,0.01352723,0.00001595306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832196,0.001151445,0.0003554963,0.0007648989,0.00004708917,0.00007377342,0.0002559841,0.00001410393,0.01411754],"genre_scores_gemma":[0.9921384,0.001135587,0.0005871667,0.00007758879,0.00001665201,0.00008776506,0.0001414091,0.000003005877,0.005812366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008593269,"threshold_uncertainty_score":0.02874732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297764495717015,"score_gpt":0.302168440566784,"score_spread":0.2791907956096139,"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."}}