{"id":"W2116438120","doi":"10.5731/pdajpst.2012.00807","title":"A Case Study: Application of Statistical Process Control Tool for Determining Process Capability and Sigma Level","year":2012,"lang":"en","type":"article","venue":"PDA Journal of Pharmaceutical Science and Technology","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Six Sigma; Statistical process control; Process capability; Process (computing); Computer science; Process control; Process engineering; Manufacturing engineering; Work in process; Engineering; Operations management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006666202,0.0001375342,0.0004484807,0.0003861587,0.0002959591,0.00006635304,0.0004942691,0.00007827264,0.000007181857],"category_scores_gemma":[0.02072847,0.0000961294,0.00002106448,0.00115053,0.00199261,0.0008698411,0.0001071884,0.0003119472,5.412455e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004619732,"about_ca_system_score_gemma":0.0002107953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002204805,"about_ca_topic_score_gemma":0.00000197523,"domain_scores_codex":[0.9970963,0.00006691777,0.0009184488,0.0003740632,0.001083254,0.000461034],"domain_scores_gemma":[0.9943558,0.002581527,0.0004866945,0.0001715728,0.002093061,0.0003113364],"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":[0.0001603791,0.0003759498,0.2561454,0.00008196502,0.00001309326,0.00006183374,0.0007840681,0.00001976747,0.006538262,0.003847868,0.000002534384,0.7319689],"study_design_scores_gemma":[0.01502206,0.005645495,0.04755481,0.0001318118,0.0008251006,0.02140694,0.05662173,0.1369777,0.08519244,0.628096,0.001100459,0.001425444],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5681064,0.000101749,0.431192,0.0001961121,0.00006356805,0.0003104307,0.00001687241,0.000007679718,0.000005285605],"genre_scores_gemma":[0.9858941,0.000003459117,0.01396082,0.0000346682,0.00005848722,0.00004126735,5.874575e-8,0.000006151798,9.310865e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7305434,"threshold_uncertainty_score":0.9875203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1666873891233523,"score_gpt":0.5211296284501842,"score_spread":0.3544422393268319,"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."}}