{"id":"W1948757686","doi":"","title":"Craftsmanship at Intier Automotive: Increasing product quality through improved acoustical engineering","year":2001,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Magna International (Canada)","funders":"","keywords":"Automotive industry; Interfacing; Anechoic chamber; Manufacturing engineering; Engineering; Quality (philosophy); Focus (optics); Center (category theory); Product (mathematics); Automotive engineering; Computer science; Telecommunications; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001500236,0.000490339,0.0003091826,0.0009339361,0.001238449,0.001731608,0.0008112635,0.0006433857,0.02191751],"category_scores_gemma":[0.001486789,0.0002157233,0.0002202392,0.0009080098,0.000564375,0.001082205,0.0009492008,0.0007636604,0.004697917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274047,"about_ca_system_score_gemma":0.002756361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02112303,"about_ca_topic_score_gemma":0.05180949,"domain_scores_codex":[0.998417,0.0001269787,0.00002161107,0.0001210204,0.00114921,0.0001640188],"domain_scores_gemma":[0.9989391,0.00007318192,0.00009446036,0.00007706991,0.0006066656,0.0002095964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004541503,0.0006013472,0.005057315,0.0003147115,0.00002762359,0.0001868073,0.0008164413,0.002159794,0.1083403,0.01036946,0.02327346,0.8483986],"study_design_scores_gemma":[0.0003084962,0.003041613,0.06509229,0.0002443536,0.0001597537,0.00123206,0.002053278,0.01528412,0.2607445,0.006953495,0.6446883,0.0001977498],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5381501,0.02880963,0.1474054,0.01279422,0.001485553,0.0003358276,0.000326684,0.003293208,0.2673993],"genre_scores_gemma":[0.690434,0.008311228,0.1167807,0.001090025,0.0004102369,0.00005316923,0.0004381146,0.0008424232,0.1816401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02191751,"threshold_uncertainty_score":0.07332134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516035329867055,"score_gpt":0.2285168129443809,"score_spread":0.2133564596457104,"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."}}