{"id":"W2014762089","doi":"10.1115/detc2009-86263","title":"Customer-Centric Product Modeling for Rapid Product Identification in One-of-a-Kind Production","year":2009,"lang":"en","type":"article","venue":"","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Identification (biology); Product (mathematics); Data mining; Production (economics); Fuzzy logic; Process (computing); New product development; Cluster analysis; Industrial engineering; Quality (philosophy); Scheme (mathematics); Machine learning; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007701585,0.0005154083,0.0003972646,0.0007756814,0.0003326937,0.0009179657,0.0009608814,0.0005356736,0.001120403],"category_scores_gemma":[0.001295366,0.0003601632,0.0008550403,0.0009501622,0.0003360353,0.001200448,0.0004574431,0.0004779418,0.0002756118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007126884,"about_ca_system_score_gemma":0.001012019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005540716,"about_ca_topic_score_gemma":0.006434705,"domain_scores_codex":[0.9994853,0.0001966348,0.00003641893,0.00009197841,0.0001594561,0.00003017655],"domain_scores_gemma":[0.9994086,0.0002299901,0.0001179903,0.0001134258,0.0001110842,0.00001901415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008380335,0.00009559989,0.00371764,0.00007978336,0.00004598531,0.000216031,0.000315693,0.8932537,0.005810832,0.02689331,0.0008570013,0.06863074],"study_design_scores_gemma":[0.000001941786,0.00001764279,0.0002462018,0.000003474393,0.00000664058,0.00003645325,0.00001772425,0.9959995,0.0006990283,0.002157714,0.00080889,0.000004845841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04790581,0.0001032259,0.9487478,0.0000789904,0.00001003572,0.00008379634,0.0001406271,0.0002906714,0.002639055],"genre_scores_gemma":[0.6073006,0.000235263,0.3895459,0.00003942173,0.000009333954,0.0001696149,0.0003687131,0.00004862153,0.002282567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005540716,"threshold_uncertainty_score":0.01101696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03366742587689762,"score_gpt":0.236577956702112,"score_spread":0.2029105308252144,"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."}}