{"id":"W4387229515","doi":"10.33024/jkpm.v6i10.11424","title":"Penguatan Kapasitas Manajemen Data Berbasis Digital Health untuk Pencegahan Stunting","year":2023,"lang":"id","type":"article","venue":"JURNAL KREATIVITAS PENGABDIAN KEPADA MASYARAKAT (PKM)","topic":"Public Health and Nutrition","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Medicine; Gynecology","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.006101158,0.001546466,0.002607522,0.001784787,0.002099423,0.001436422,0.002390019,0.0006329524,0.001266639],"category_scores_gemma":[0.002948196,0.001595612,0.0005220874,0.004175506,0.0005130123,0.004182436,0.001701028,0.002831245,0.004881681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163476,"about_ca_system_score_gemma":0.004430208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001344838,"about_ca_topic_score_gemma":0.0008539289,"domain_scores_codex":[0.9856958,0.001103881,0.002918324,0.002899399,0.002955949,0.00442664],"domain_scores_gemma":[0.9889084,0.001489637,0.001455893,0.003718247,0.0005117328,0.003916151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001190807,0.002572131,0.1377568,0.006782389,0.001580652,0.004878287,0.003875213,0.000007875909,0.0003935357,0.00120289,0.6068607,0.2328987],"study_design_scores_gemma":[0.01315621,0.00477287,0.3191727,0.00718124,0.001069791,0.001388696,0.01918912,0.004535933,0.0002465725,0.0006912446,0.6252347,0.003360921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6448176,0.02689741,0.0005154302,0.169405,0.007768649,0.01167092,0.01913733,0.002974672,0.1168129],"genre_scores_gemma":[0.9528954,0.005872327,0.0005055289,0.00276715,0.00416672,0.0001469692,0.01679364,0.0003874711,0.01646477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3080778,"threshold_uncertainty_score":0.9997284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08427461233941651,"score_gpt":0.3613540508933583,"score_spread":0.2770794385539418,"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."}}