{"id":"W2982169628","doi":"10.35959/jik.v7i2.158","title":"SISTEM PENDUKUNG KEPUTUSAN CALON PENERIMA BANTUAN PROGRAM KELUARGA HARAPAN (PKH) MENGGUNAKAN METODE ANALYTICAL HIERARCY PROCESS (AHP)","year":2019,"lang":"id","type":"article","venue":"Jurnal Informasi dan Komputer","topic":"Varied Academic Research Topics","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Mathematics; Humanities; Operating system; Computer science; Philosophy","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":[0.003163315,0.0005464785,0.0006528103,0.001151387,0.001180748,0.004083518,0.0009669836,0.000697438,0.01067115],"category_scores_gemma":[0.005462302,0.0003701354,0.00066623,0.002044668,0.0009129337,0.001963303,0.002349158,0.001096803,0.001123953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002121361,"about_ca_system_score_gemma":0.005768929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009098221,"about_ca_topic_score_gemma":0.01182665,"domain_scores_codex":[0.9981599,0.0007857591,0.0001079715,0.0003441814,0.0004859641,0.0001162079],"domain_scores_gemma":[0.9972842,0.001571639,0.0002858442,0.0001691507,0.0005886906,0.000100487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000556962,0.0007316103,0.06964025,0.002464896,0.0003002944,0.001067723,0.01605879,0.04201316,0.007117945,0.1587203,0.01183553,0.6894925],"study_design_scores_gemma":[0.000234828,0.001169849,0.1215634,0.001747284,0.0006017188,0.0009538447,0.04602386,0.3755343,0.02396137,0.2320056,0.1958614,0.0003426814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3741728,0.003595217,0.5261456,0.003707786,0.000259196,0.001483184,0.003478294,0.001057395,0.08610052],"genre_scores_gemma":[0.7707989,0.002191138,0.1999143,0.0002353613,0.00006573277,0.0009547389,0.001519452,0.0001737416,0.02414666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01067115,"threshold_uncertainty_score":0.03569853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0232780678040928,"score_gpt":0.2953908503199225,"score_spread":0.2721127825158297,"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."}}