{"id":"W4390095668","doi":"10.59254/sbpo-2018-85285","title":"Meta-heurística híbrida aplicada ao Problema das Sequências Justas Ponderadas","year":2018,"lang":"pt","type":"article","venue":"Anais do Simpósio Brasileiro de Pesquisa Operacional","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"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","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001166799,0.00133218,0.001581649,0.0004509381,0.0009110945,0.0009301008,0.00108402,0.0007297807,0.01997735],"category_scores_gemma":[0.0007414395,0.00125689,0.0008597186,0.001171349,0.0005572303,0.0008625833,0.000526152,0.001164751,0.002849693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004970612,"about_ca_system_score_gemma":0.0004763606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000103402,"about_ca_topic_score_gemma":0.0000930076,"domain_scores_codex":[0.9931941,0.0003069019,0.001681304,0.001409223,0.001352995,0.002055481],"domain_scores_gemma":[0.9958146,0.0006813329,0.0002995615,0.001280617,0.0006892864,0.001234659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001250902,0.009299454,0.007503494,0.009120209,0.03622593,0.001540991,0.03044157,0.08997388,0.0121024,0.4341709,0.3094739,0.05889635],"study_design_scores_gemma":[0.006688249,0.001977606,0.005533121,0.001111404,0.01240569,0.001223387,0.00256757,0.6845257,0.005977893,0.008555898,0.2619796,0.007453883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2304509,0.01630179,0.6299897,0.01254969,0.006448474,0.009133964,0.001667661,0.005383738,0.08807401],"genre_scores_gemma":[0.9485886,0.0002488723,0.04075726,0.002402234,0.001499198,0.0002665978,0.000208916,0.0004023903,0.005625969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7181376,"threshold_uncertainty_score":0.999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06508167927139824,"score_gpt":0.3207927976729996,"score_spread":0.2557111184016013,"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."}}