{"id":"W4296522943","doi":"10.14710/mkmi.21.4.238-247","title":"Analisis Implementasi Keberhasilan Program Penurunan Angka Kematian Ibu (AKI) Melalui Studi Kasus Pemanfaatan Dana Alokasi Khusus (DAK) Non Fisik Tahun 2017","year":2022,"lang":"id","type":"article","venue":"MEDIA KESEHATAN MASYARAKAT INDONESIA","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Traditional medicine; Gynecology; Physics; Political science; Medicine","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":[0.007086907,0.000361132,0.0006070322,0.001268458,0.001002825,0.002452279,0.00107162,0.0006160896,0.02094871],"category_scores_gemma":[0.01994222,0.000300149,0.001227767,0.001909101,0.0005652778,0.00196184,0.001642529,0.002079819,0.002355675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003559,"about_ca_system_score_gemma":0.01018553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03010558,"about_ca_topic_score_gemma":0.04286356,"domain_scores_codex":[0.9947399,0.002251423,0.0003464025,0.0004736215,0.001320081,0.0008685518],"domain_scores_gemma":[0.9867145,0.006605159,0.001535144,0.0005560576,0.003158975,0.001430176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004683119,0.002876534,0.235052,0.01046885,0.001121075,0.0002960918,0.01403727,0.002325555,0.001788173,0.00858899,0.04336136,0.675401],"study_design_scores_gemma":[0.0006809519,0.004843426,0.7167386,0.009437807,0.002033178,0.0003251049,0.03286609,0.001844961,0.003610104,0.003499647,0.22401,0.0001101188],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7722386,0.01233869,0.005396335,0.01234687,0.0006642113,0.003714094,0.0204973,0.0006187096,0.1721853],"genre_scores_gemma":[0.947962,0.006170601,0.005786353,0.002920558,0.0001335461,0.003962377,0.004835283,0.0001939719,0.02803525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03010558,"threshold_uncertainty_score":0.0700804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03734713327376771,"score_gpt":0.2590810353798085,"score_spread":0.2217339021060408,"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."}}