{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004767727,0.001247846,0.0010835,0.001711091,0.0005699772,0.001470891,0.00108562,0.0006991723,0.001730716],"category_scores_gemma":[0.02008621,0.000410186,0.0005025314,0.001164211,0.0009604956,0.001283511,0.0006381569,0.001403107,0.000163288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042143,"about_ca_system_score_gemma":0.001447423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01100694,"about_ca_topic_score_gemma":0.006117061,"domain_scores_codex":[0.9976554,0.0007866486,0.0001765043,0.0003891904,0.0007727504,0.0002195035],"domain_scores_gemma":[0.9806191,0.01472714,0.001673079,0.0007669755,0.001839417,0.0003743721],"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":[0.0009823184,0.0001134929,0.001335903,0.0001649853,0.00004955608,0.0001544774,0.0001737457,0.8608006,0.004013008,0.01143846,0.001969269,0.1188041],"study_design_scores_gemma":[0.00001996923,0.00008737689,0.0004269552,0.00001455929,0.00001437228,0.00001285605,0.0000119134,0.9936422,0.001363868,0.004134235,0.0002580713,0.00001348501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1459727,0.001479059,0.8484331,0.0001811183,0.0001448028,0.0001048402,0.0003310791,0.00239996,0.0009533913],"genre_scores_gemma":[0.9369838,0.0004236869,0.06091785,0.00004822166,0.000086154,0.0001208828,0.0003986628,0.0002185678,0.0008022131],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01100694,"threshold_uncertainty_score":0.02521449,"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."}}