{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005134768,0.0006417001,0.000774314,0.004714271,0.001371284,0.007787142,0.001397192,0.001299865,0.1107224],"category_scores_gemma":[0.02351825,0.0003848807,0.0009639353,0.008258946,0.001149507,0.006168135,0.003572851,0.002725117,0.02674386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002947222,"about_ca_system_score_gemma":0.007313221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02170192,"about_ca_topic_score_gemma":0.02097967,"domain_scores_codex":[0.9951335,0.001123248,0.0006017417,0.0007369014,0.001977453,0.0004272395],"domain_scores_gemma":[0.9798374,0.008859646,0.001769979,0.001932087,0.00609386,0.001507065],"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":[0.0004101988,0.0001445681,0.0290456,0.005452623,0.0002274084,0.0003067188,0.004241761,0.0004509739,0.0008913398,0.02543888,0.4042174,0.5291725],"study_design_scores_gemma":[0.00002728166,0.00005512582,0.02958695,0.003160606,0.0001316759,0.000275112,0.003534994,0.0002673719,0.0008416918,0.004214158,0.9578451,0.00005997871],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04351005,0.07230151,0.01014869,0.1458402,0.010576,0.0006727791,0.11523,0.00239361,0.5993271],"genre_scores_gemma":[0.3952771,0.1777793,0.01820593,0.02729346,0.008726028,0.00162638,0.1006106,0.002065748,0.2684154],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1107224,"threshold_uncertainty_score":0.3704032,"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."}}