{"id":"W4390129940","doi":"10.59254/sbpo-2019-106895","title":"APLICAÇÃO DA METODOLOGIA GERAR-E-RESOLVER AO PROBLEMA DA ARBORESCÊNCIA MÍNIMA DE COBERTURA","year":2019,"lang":"pt","type":"article","venue":"Anais do Simpósio Brasileiro de Pesquisa Operacional","topic":"Agricultural and Food Sciences","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Resolver; Humanities; Computer science; Philosophy; Telecommunications","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":[0.00161862,0.001210988,0.001249157,0.0001171758,0.001297712,0.001479844,0.002592964,0.000999787,0.01425142],"category_scores_gemma":[0.0003760277,0.0005307206,0.0008129291,0.001801545,0.0007205194,0.001373547,0.0009437587,0.001237353,0.002442053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004106927,"about_ca_system_score_gemma":0.0003126472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001838286,"about_ca_topic_score_gemma":0.000730375,"domain_scores_codex":[0.9917058,0.0006753193,0.001236541,0.002205391,0.001611466,0.00256549],"domain_scores_gemma":[0.996222,0.001023509,0.0005606642,0.0004913583,0.0005304132,0.00117208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006243293,0.001289523,0.5966801,0.0001678317,0.0003575379,0.000179348,0.002606236,0.0006875978,0.3086315,0.007962435,0.05423758,0.02657597],"study_design_scores_gemma":[0.0008794388,0.001909472,0.943263,0.0002678263,0.0001392192,0.0002884291,0.003063583,0.00289784,0.00223769,0.001031287,0.04206197,0.001960248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826733,0.002281298,0.00001628564,0.008219915,0.0009255232,0.001306704,0.0004536475,0.0002308335,0.00389242],"genre_scores_gemma":[0.9822586,0.0003494198,0.0004930586,0.004615419,0.00149058,0.0001136456,0.0003438215,0.0000174951,0.010318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3465829,"threshold_uncertainty_score":0.9997144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03513030990115121,"score_gpt":0.2716452943186248,"score_spread":0.2365149844174736,"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."}}