{"id":"W4405266558","doi":"10.59254/sbpo-2024-193524","title":"META-HEURÍSTICA VNS APLICADA A UM PROBLEMA DE SEQUENCIAMENTO JUSTO","year":2024,"lang":"pt","type":"article","venue":"Anais do Simpósio Brasileiro de Pesquisa Operacional","topic":"Business and Management Studies","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science","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","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.004759474,0.001294084,0.001781052,0.001145616,0.001335625,0.00353552,0.002247539,0.0004898239,0.01676147],"category_scores_gemma":[0.001384991,0.0009882597,0.001396572,0.003070674,0.0006869893,0.001548788,0.001836408,0.001036105,0.003525555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007799083,"about_ca_system_score_gemma":0.001427446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008899283,"about_ca_topic_score_gemma":0.0002700955,"domain_scores_codex":[0.9892908,0.0006539455,0.001942956,0.002691723,0.003252176,0.002168417],"domain_scores_gemma":[0.9945192,0.001984278,0.0003575802,0.001527576,0.0007590028,0.0008523949],"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":[0.0004041443,0.001730532,0.02489457,0.001712122,0.01409888,0.003196129,0.01262456,0.005783238,0.0028068,0.1240416,0.6991715,0.109536],"study_design_scores_gemma":[0.00151472,0.0006655637,0.04512684,0.0009710225,0.01008321,0.0004956877,0.005974951,0.08683828,0.0003219941,0.01518166,0.8296754,0.003150629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3622072,0.1962716,0.2130669,0.160422,0.01303866,0.008707977,0.003980106,0.002659855,0.03964576],"genre_scores_gemma":[0.9567052,0.002682233,0.002407383,0.005917111,0.0007339504,0.0006629307,0.00005810343,0.0001705473,0.03066254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.594498,"threshold_uncertainty_score":0.9999811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1934867701586463,"score_gpt":0.3959917213520012,"score_spread":0.2025049511933549,"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."}}