{"id":"W2083638310","doi":"10.1007/s12293-009-0020-0","title":"Multi-objective optimization by technical laws and heuristics","year":2009,"lang":"en","type":"article","venue":"Memetic Computing","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Heuristics; Computer science; Conceptual design; Heuristic; Mathematical optimization; Industrial engineering; Reliability engineering; Artificial intelligence; Engineering; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.00009951662,0.00008000893,0.0001136676,0.00004800658,0.00005746487,0.00003723592,0.00005124283,0.00004047802,0.000004825527],"category_scores_gemma":[0.00003505337,0.00008331757,0.00002495421,0.0001462101,0.00001286927,0.00001641624,0.00002224794,0.000102254,0.000002157804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002568361,"about_ca_system_score_gemma":0.00000219332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000783202,"about_ca_topic_score_gemma":0.000002576048,"domain_scores_codex":[0.9995535,0.000009200226,0.0001234861,0.000116615,0.00006881513,0.0001283937],"domain_scores_gemma":[0.9998098,0.00002944512,0.00001602201,0.00008412314,0.00002350772,0.00003707416],"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":[8.433157e-7,0.00003722917,0.0004222767,0.00001269601,0.00002026749,0.000002261065,0.0001014256,0.9743007,0.003299718,0.00005933518,0.0001838781,0.0215593],"study_design_scores_gemma":[0.0001461717,0.00001725967,0.003191968,0.00001125437,0.00002355124,0.000003817338,0.00001316284,0.996279,0.0001091651,0.00002697358,0.00008290191,0.00009479316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06019827,0.0001852661,0.9386296,0.00003634396,0.00004713035,0.00004977285,0.000001654403,0.0001893304,0.0006626807],"genre_scores_gemma":[0.8834662,0.00001901997,0.1164307,0.00002062906,0.00002207689,2.928973e-7,0.0000067951,0.000008707589,0.0000256177],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8232679,"threshold_uncertainty_score":0.3397592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005347936411961424,"score_gpt":0.2111883715157419,"score_spread":0.2058404351037804,"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."}}