{"id":"W3022732536","doi":"","title":"Control Charts for Short Production Runs in Aerospace Manufacturing","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Aerospace; Production (economics); Manufacturing engineering; Control chart; Control (management); Computer science; Engineering; Operations management; Artificial intelligence; Process (computing); Economics","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":[0.001590815,0.0001040363,0.0002181861,0.0001149743,0.0001011751,0.00008722713,0.0002399787,0.00004076011,0.00004171706],"category_scores_gemma":[0.006277223,0.00007714002,0.00003586843,0.0001394531,0.00004202361,0.0003650265,0.0000305816,0.00009447736,0.00005550578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004152919,"about_ca_system_score_gemma":0.00001086384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009377052,"about_ca_topic_score_gemma":0.00007628914,"domain_scores_codex":[0.9982847,0.0000386379,0.0003762849,0.0004927872,0.0005268204,0.0002807526],"domain_scores_gemma":[0.9981444,0.001292248,0.00005964828,0.0002959376,0.0001280954,0.00007964244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003165601,0.0001522755,0.03278607,0.00005465715,0.00001512959,0.000004280049,0.0004757787,0.02241767,0.01595559,0.0289156,0.004255687,0.8946507],"study_design_scores_gemma":[0.002122861,0.0003029954,0.1078693,0.00006930587,0.00001967678,0.000009546819,0.0007774596,0.05223398,0.2920824,0.4833709,0.06027098,0.0008705827],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1234203,0.000008345391,0.872728,0.001034035,0.0006989388,0.0003674345,0.000003117803,0.00005240944,0.001687374],"genre_scores_gemma":[0.9806662,8.20616e-7,0.01678872,0.00007824342,0.0002989121,0.0000639369,6.711636e-7,0.00001056371,0.002091944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8937801,"threshold_uncertainty_score":0.7514876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09701939295615772,"score_gpt":0.4173051405176763,"score_spread":0.3202857475615185,"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."}}