{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001768703,0.0007847482,0.001393533,0.002258903,0.0008703678,0.001950756,0.00147667,0.002397263,0.0048304],"category_scores_gemma":[0.005576709,0.0006304174,0.001331584,0.002165702,0.000658287,0.001162976,0.0008452507,0.001182612,0.0003499485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001883152,"about_ca_system_score_gemma":0.002633065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01009663,"about_ca_topic_score_gemma":0.0115028,"domain_scores_codex":[0.9991309,0.0003731733,0.00004749513,0.000152554,0.0001635234,0.0001322883],"domain_scores_gemma":[0.9969036,0.002337872,0.0001330919,0.000183626,0.0003127542,0.0001289799],"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":[0.0002473344,0.0002101032,0.0007534482,0.0003151491,0.00007707602,0.0001049064,0.0001357337,0.8998563,0.001644125,0.01318192,0.001199654,0.08227424],"study_design_scores_gemma":[0.00003803105,0.00007640529,0.0001512291,0.0000352076,0.00003934935,0.00003243962,0.00005265094,0.9942499,0.0009313468,0.003001238,0.001385851,0.000006324717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2423252,0.00201383,0.7267453,0.001109053,0.000402008,0.0003216717,0.0004042784,0.0008091026,0.0258696],"genre_scores_gemma":[0.5768874,0.0005497673,0.4156381,0.0001337738,0.00009692236,0.0002860443,0.0002470544,0.0001497214,0.006011192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01009663,"threshold_uncertainty_score":0.02007574,"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."}}