{"id":"W4384573861","doi":"10.59697/jsik.v6i2.192","title":"OPTIMALISASI RUTE PENGANGKUTAN SAMPAH MENGGUNAKAN METODE TRAVELLING SALESMAN PROBLEM (STUDI KASUS DINAS LINGKUNGAN HIDUP KOTA BINJAI)","year":2022,"lang":"id","type":"article","venue":"Jurnal Sistem Informasi Kaputama (JSIK)","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.006116219,0.001809513,0.002142916,0.001671104,0.004669652,0.001715931,0.006635817,0.0008328074,0.000134255],"category_scores_gemma":[0.0003158186,0.001935358,0.001168955,0.003949362,0.0006298121,0.002683692,0.004021743,0.004338811,0.0003524877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002622282,"about_ca_system_score_gemma":0.001687786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001114068,"about_ca_topic_score_gemma":0.00007791403,"domain_scores_codex":[0.9852144,0.00113082,0.00434697,0.002144321,0.004224025,0.002939463],"domain_scores_gemma":[0.991465,0.0009219597,0.003168901,0.002548546,0.0009000071,0.0009956334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00138949,0.004625994,0.02246821,0.004117717,0.007568356,0.004186476,0.08625625,0.08426354,0.01432541,0.7035921,0.01793547,0.04927097],"study_design_scores_gemma":[0.00760329,0.004822182,0.006087668,0.001301756,0.0009154656,0.007493965,0.01015529,0.1418457,0.009834697,0.003380807,0.8004988,0.006060424],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7334338,0.01307434,0.06274709,0.02824135,0.02402676,0.01362725,0.0007489354,0.006739542,0.1173609],"genre_scores_gemma":[0.969521,0.0002278439,0.01524612,0.001043713,0.001001746,0.0006661193,0.0002306493,0.0002494836,0.01181327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7825633,"threshold_uncertainty_score":0.999465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02442072895856977,"score_gpt":0.2454203295750108,"score_spread":0.220999600616441,"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."}}