{"id":"W3198715952","doi":"10.37034/jidt.v3i4.165","title":"Monte Carlo Prediksi Tingkat Prevalensi Stunting Kabupaten Lima Puluh Kota Menggunakan Metode Monte Carlo","year":2021,"lang":"id","type":"article","venue":"Jurnal Informasi dan Teknologi","topic":"Public Health and Nutrition","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics","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":[0.0014719,0.0006295078,0.001070251,0.0008478864,0.0006832965,0.001668507,0.001149733,0.001184089,0.009676141],"category_scores_gemma":[0.005636123,0.0007660803,0.001761654,0.00123071,0.0004274613,0.0009747507,0.0005462117,0.0009767928,0.001604598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143662,"about_ca_system_score_gemma":0.001939481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03384151,"about_ca_topic_score_gemma":0.03303231,"domain_scores_codex":[0.9991571,0.0003070423,0.00004202724,0.0001989334,0.00020501,0.00008997306],"domain_scores_gemma":[0.996628,0.002451322,0.0002020073,0.0001935251,0.0004324305,0.00009274473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009291618,0.0002639226,0.07492868,0.0008817462,0.0007348355,0.000452564,0.0003842977,0.795315,0.004327695,0.02247162,0.009390482,0.08992001],"study_design_scores_gemma":[0.0001443224,0.000264846,0.02152642,0.000283189,0.0003847833,0.0004003223,0.0002844189,0.9358065,0.004027681,0.01902567,0.01770055,0.0001512847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4120799,0.007942132,0.5090593,0.00276675,0.0005674359,0.0007086346,0.008584761,0.002840327,0.05545073],"genre_scores_gemma":[0.8615696,0.003896585,0.104915,0.0006780848,0.0001047038,0.0006864116,0.00455273,0.0004444343,0.0231525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03384151,"threshold_uncertainty_score":0.06728905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03346989242473568,"score_gpt":0.2962119544017937,"score_spread":0.262742061977058,"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."}}