{"id":"W4384347870","doi":"10.59697/jsik.v6i2.159","title":"PEMILIHAN DUTA GENERASI BERENCANA DENGAN MENGGUNAKAN METODE SMART (STUDI KASUS DINAS PENGENDALIAN PENDUDUK DAN KELUARGA BERENCANA KOTA BINJAI)","year":2022,"lang":"id","type":"article","venue":"Jurnal Sistem Informasi Kaputama (JSIK)","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Humanities; Mathematics; Physics; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.006198852,0.002554871,0.00290121,0.001753773,0.005891125,0.002448352,0.00830319,0.0007586317,0.001318679],"category_scores_gemma":[0.000665831,0.002721381,0.001565068,0.004067442,0.0005746669,0.002641181,0.005740856,0.005250621,0.0006898221],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003924983,"about_ca_system_score_gemma":0.003548078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002727021,"about_ca_topic_score_gemma":0.002131151,"domain_scores_codex":[0.9787549,0.002929617,0.004728155,0.002956302,0.006249074,0.004381908],"domain_scores_gemma":[0.9878294,0.0009174423,0.003555596,0.00394405,0.001020598,0.002732867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001705753,0.005508512,0.3122339,0.005318681,0.01124988,0.009565615,0.1975579,0.0168205,0.01196114,0.03447912,0.1038354,0.2897636],"study_design_scores_gemma":[0.004835978,0.002384404,0.05205019,0.0003560339,0.0007220716,0.003225347,0.008649451,0.06002505,0.001412357,0.0000458228,0.8622595,0.004033786],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8105942,0.006680612,0.00303741,0.00798899,0.03320049,0.006966379,0.0005892871,0.002227284,0.1287154],"genre_scores_gemma":[0.9600657,0.0001978033,0.002107222,0.001045654,0.002337135,0.0006050963,0.0003919706,0.0003393705,0.03291009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7584241,"threshold_uncertainty_score":0.9998988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02509393602666182,"score_gpt":0.246677743741487,"score_spread":0.2215838077148252,"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."}}