{"id":"W3143003889","doi":"10.25077/jmu.9.4.294-301.2020","title":"APLIKASI ALGORITMA GREEDY UNTUK PEWARNAAN WILAYAH PADA PETA KOTA PADANG BERBASIS TEOREMA EMPAT WARNA","year":2021,"lang":"id","type":"article","venue":"Jurnal Matematika UNAND","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Physics; Biology","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001294511,0.001144422,0.001503071,0.0008062051,0.001063469,0.003529123,0.001089836,0.0004386069,0.006307061],"category_scores_gemma":[0.0003750824,0.001097138,0.0006199361,0.002077532,0.0002003202,0.003032405,0.001289608,0.0007025664,0.001549048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835236,"about_ca_system_score_gemma":0.0001559351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004512459,"about_ca_topic_score_gemma":0.0002754415,"domain_scores_codex":[0.9937394,0.0001749243,0.0020101,0.001287423,0.001511374,0.001276763],"domain_scores_gemma":[0.9955264,0.0001483529,0.001720716,0.001294068,0.001151971,0.000158515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005667824,0.003478813,0.08337863,0.04078085,0.003432381,0.006261734,0.001944344,0.0004392804,0.002274913,0.05257291,0.7637134,0.04115603],"study_design_scores_gemma":[0.006547457,0.0002585094,0.02694681,0.009547696,0.004042308,0.0002974828,0.005345486,0.02549902,0.009192315,0.01172507,0.8947573,0.005840498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2948123,0.01962154,0.02041267,0.03139796,0.01079071,0.006880468,0.0001933759,0.003597415,0.6122935],"genre_scores_gemma":[0.7766918,0.006878261,0.01101828,0.009078481,0.006670131,0.0002351251,0.001134586,0.0007815573,0.1875118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4818795,"threshold_uncertainty_score":0.9992284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345838394310877,"score_gpt":0.2228997079751372,"score_spread":0.2094413240320284,"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."}}