{"id":"W3094745631","doi":"10.1115/detc2020-22397","title":"Objective Reduction Using Axiomatic Design and Product-Related Dependencies: A Layout Synthesis of an Autonomous Greenhouse Case Study","year":2020,"lang":"en","type":"article","venue":"","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Axiomatic design; Sorting; Mathematical optimization; Computer science; Reduction (mathematics); Multi-objective optimization; Genetic algorithm; Optimization problem; Product design; Product (mathematics); Mathematics; Engineering; Algorithm; Manufacturing engineering","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":[0.0005387085,0.000184654,0.0002605812,0.0002174235,0.0002089497,0.0001335047,0.0001037703,0.00004349743,0.00005694701],"category_scores_gemma":[0.0003574716,0.0001674148,0.00002459819,0.0007374171,0.00004385984,0.00162858,0.0000936155,0.0000721987,0.00001348524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003643314,"about_ca_system_score_gemma":0.00006202504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001099096,"about_ca_topic_score_gemma":0.00004654088,"domain_scores_codex":[0.9987465,0.00005891132,0.0003866379,0.0004446012,0.0001964798,0.0001669018],"domain_scores_gemma":[0.9993071,0.00003020516,0.0002704788,0.0001796802,0.0001911629,0.00002138242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00356752,0.01019278,0.1140546,0.006406853,0.004566759,0.00661519,0.2533667,0.1165686,0.1505978,0.00351812,0.001527761,0.3290172],"study_design_scores_gemma":[0.002702947,0.0002623804,0.006099034,0.0001309909,0.001560129,0.001264445,0.1417258,0.8199951,0.02389651,0.0008652868,0.00003442726,0.001462989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952745,0.00002736364,0.00278517,0.0001595958,0.0001025027,0.001159272,3.799153e-7,0.000231441,0.0002598075],"genre_scores_gemma":[0.9959421,0.000001001168,0.003734416,0.00005453693,0.0001736282,0.00002590436,0.000002862519,0.0000309928,0.00003454764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7034264,"threshold_uncertainty_score":0.6826977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03466494428779496,"score_gpt":0.2318187218356234,"score_spread":0.1971537775478284,"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."}}