{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001210663,0.001841767,0.001324974,0.0006293464,0.001460143,0.003107674,0.002202477,0.001805026,0.01432834],"category_scores_gemma":[0.00261594,0.0005048068,0.001227071,0.001129309,0.0007934557,0.002912248,0.001501891,0.001950696,0.005731489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792925,"about_ca_system_score_gemma":0.003212008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007054861,"about_ca_topic_score_gemma":0.01229078,"domain_scores_codex":[0.99883,0.0002405662,0.00009239533,0.0003109552,0.0002664115,0.0002596723],"domain_scores_gemma":[0.9989191,0.0004037568,0.0000679216,0.0002174936,0.000306941,0.00008479931],"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":[0.001294924,0.000417615,0.003705169,0.001469525,0.0003441031,0.0005517467,0.0006831165,0.1930697,0.03373671,0.04108164,0.06975321,0.6538925],"study_design_scores_gemma":[0.0001674618,0.0004256586,0.001659212,0.0001318826,0.0002230397,0.0007622535,0.0008429342,0.8417956,0.02001647,0.04802902,0.08582968,0.0001168287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04282406,0.002847062,0.9107173,0.002720457,0.001054043,0.0004629941,0.0006630652,0.005487642,0.03322338],"genre_scores_gemma":[0.4056845,0.002495567,0.5082976,0.001702258,0.0004171126,0.0006665845,0.001475506,0.00110056,0.07816037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01432834,"threshold_uncertainty_score":0.04793304,"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."}}