{"id":"W4415020952","doi":"10.7454/bikfokes.v5i3.1115","title":"Inovasi Aplikasi Adhimukti Brata Care Stunting Berbasis AppSheet Untuk Pendataan Status Gizi Anak di Kabupaten Banggai","year":2025,"lang":"id","type":"article","venue":"Jurnal Biostatistik Kependudukan dan Informatika Kesehatan","topic":"Public Health and Nutrition","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Nursing care","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":[0.001911253,0.001017582,0.0007110785,0.001068969,0.001142052,0.003649771,0.001060981,0.001278613,0.02338033],"category_scores_gemma":[0.004740768,0.0004713453,0.001086124,0.0009313902,0.0008468868,0.002257569,0.002088715,0.001599109,0.007198642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369111,"about_ca_system_score_gemma":0.002890379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01190967,"about_ca_topic_score_gemma":0.01606051,"domain_scores_codex":[0.9980586,0.0003734907,0.0001781663,0.0003256074,0.0007516341,0.0003125196],"domain_scores_gemma":[0.9963954,0.001143929,0.00047275,0.0002867724,0.001228922,0.0004722991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001367252,0.000973257,0.1612858,0.005465841,0.0002921679,0.002233534,0.006982794,0.0009299034,0.02656818,0.005382381,0.05225088,0.736268],"study_design_scores_gemma":[0.0002322461,0.002303446,0.4125215,0.005483792,0.001560832,0.00789104,0.01747023,0.006971952,0.03439489,0.008657496,0.5021904,0.000322202],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.588823,0.03916116,0.03971723,0.02037693,0.002070449,0.00147433,0.009171476,0.005253402,0.2939521],"genre_scores_gemma":[0.8540249,0.01769929,0.02529803,0.00283868,0.0003465959,0.0009539495,0.003337409,0.0005577073,0.09494343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02338033,"threshold_uncertainty_score":0.078215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422903403810326,"score_gpt":0.299183789526151,"score_spread":0.2849547554880478,"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."}}