{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001073732,0.001068558,0.001180575,0.001081503,0.001024659,0.003631643,0.001448752,0.001494928,0.01356452],"category_scores_gemma":[0.002430408,0.0006688852,0.001334206,0.001936841,0.0005362071,0.003298344,0.0008743206,0.001193515,0.001845588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499152,"about_ca_system_score_gemma":0.002053641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007971575,"about_ca_topic_score_gemma":0.009491198,"domain_scores_codex":[0.9992005,0.000222649,0.00005365177,0.0002034576,0.0001824627,0.0001373315],"domain_scores_gemma":[0.9991634,0.00046198,0.00009504668,0.00007653853,0.0001582576,0.00004473489],"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":[0.0005013016,0.0005416229,0.008577855,0.002082297,0.0003246657,0.000893124,0.000643015,0.591531,0.01215389,0.06600499,0.0123716,0.3043747],"study_design_scores_gemma":[0.00007219535,0.0006434303,0.007139901,0.0003032618,0.0002825183,0.000999511,0.002027466,0.8797423,0.01122072,0.0558651,0.04157414,0.0001294681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2688166,0.009320501,0.6122009,0.002326723,0.0004003549,0.0005837848,0.002153764,0.001350471,0.1028468],"genre_scores_gemma":[0.7710064,0.00585651,0.1800427,0.0002132954,0.00009177763,0.000333045,0.001716218,0.0004141722,0.04032584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01356452,"threshold_uncertainty_score":0.04537785,"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."}}