{"id":"W4296442391","doi":"10.14710/mkmi.21.4.271-278","title":"Evaluasi Penurunan Prevalensi Merokok dalam Upaya Inovasi Penghematan Alokasi APBN Ditjen P2P Kementerian Kesehatan","year":2022,"lang":"id","type":"article","venue":"MEDIA KESEHATAN MASYARAKAT INDONESIA","topic":"Public Health and Nutrition","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Business administration; Gynecology; Medicine; Business","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":[0.004215266,0.0004288304,0.0005512851,0.0006894624,0.0006495183,0.001470431,0.000383753,0.0005264246,0.007993793],"category_scores_gemma":[0.004959176,0.0002669679,0.00104531,0.000670097,0.0003422257,0.0008872312,0.0008802103,0.0008240297,0.0009738661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009315064,"about_ca_system_score_gemma":0.002248938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007375385,"about_ca_topic_score_gemma":0.01629464,"domain_scores_codex":[0.9980561,0.0008642451,0.0002196924,0.0002252597,0.0004433552,0.0001913775],"domain_scores_gemma":[0.9975373,0.001033185,0.0004019285,0.00009192249,0.0006803452,0.0002554133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007443231,0.002316745,0.6093639,0.007781753,0.001072778,0.0004975895,0.009350361,0.000560548,0.004436824,0.001198506,0.009421743,0.3465561],"study_design_scores_gemma":[0.0004768112,0.01051751,0.884294,0.003914736,0.003375401,0.000947832,0.01706619,0.0007466636,0.00962452,0.001526768,0.0673943,0.000115322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320536,0.02518274,0.002643178,0.002524707,0.0003070456,0.001972561,0.006325566,0.00008176734,0.02890894],"genre_scores_gemma":[0.9700806,0.009441816,0.003724578,0.0008492133,0.00008385576,0.002152409,0.001547942,0.00002071862,0.01209892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007993793,"threshold_uncertainty_score":0.02674186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03097893531874655,"score_gpt":0.2878221795428941,"score_spread":0.2568432442241476,"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."}}