{"id":"W2163185637","doi":"10.1109/cimat.1994.389058","title":"A new algorithm for discrete tolerance optimization","year":2002,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Dimension (graph theory); Algorithm; Computer science; Process (computing); Mathematical optimization; Selection (genetic algorithm); Mathematics; Artificial intelligence","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":[0.001079526,0.001205078,0.00111068,0.001140697,0.000672648,0.00179898,0.001830677,0.001543995,0.009064798],"category_scores_gemma":[0.002843611,0.0005866152,0.0009373311,0.001406791,0.0009934542,0.001834059,0.001594497,0.00227999,0.002823652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006872,"about_ca_system_score_gemma":0.001327858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00210507,"about_ca_topic_score_gemma":0.00197836,"domain_scores_codex":[0.999117,0.0002188678,0.00005208442,0.0002012966,0.0003367571,0.00007413336],"domain_scores_gemma":[0.9992487,0.000356406,0.00005332533,0.00009482771,0.0002104503,0.00003622],"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":[0.0001153667,0.00008027801,0.0002955933,0.0002087761,0.00006281042,0.00005554266,0.00007881168,0.5129735,0.003435146,0.09347425,0.00963214,0.3795878],"study_design_scores_gemma":[0.0000499235,0.00003720271,0.00004647581,0.00001469742,0.000008680146,0.00004625185,0.000009484271,0.9682431,0.001022789,0.01977773,0.01073105,0.00001262838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004897408,0.00005711087,0.9978712,0.00004694041,0.00005163874,0.00002724476,0.00002240366,0.0001927501,0.001241072],"genre_scores_gemma":[0.02371243,0.0001514336,0.9716163,0.00009030085,0.00006067614,0.0003081427,0.0001810826,0.0001779321,0.003701699],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009064798,"threshold_uncertainty_score":0.03032476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009379111525674087,"score_gpt":0.1969092752656167,"score_spread":0.1875301637399426,"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."}}