{"id":"W1487068628","doi":"10.1002/9781118445112.stat04025.pub2","title":"Quality Control, Computing in","year":2015,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Nonparametric statistics; Statistical process control; Control chart; Computer science; Statistical hypothesis testing; Sample size determination; Quality (philosophy); Contingency table; Software; Statistics; Data mining; Sample (material); Control (management); Statistical power; Process (computing); Mathematics; Machine learning; Artificial intelligence","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003051593,0.0008179236,0.001975313,0.0009510738,0.0001070153,0.0002595636,0.001702693,0.000523305,0.001875763],"category_scores_gemma":[0.02274417,0.0006969033,0.00006600202,0.001239407,0.0004938979,0.0001736067,0.0003953775,0.001412035,0.0008254398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003574481,"about_ca_system_score_gemma":0.0007906963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00085313,"about_ca_topic_score_gemma":0.006200882,"domain_scores_codex":[0.990042,0.0008743849,0.002571915,0.001692476,0.003751401,0.001067822],"domain_scores_gemma":[0.9893388,0.005729171,0.001755659,0.001370116,0.001198076,0.0006081327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001392554,0.0003859442,0.002443099,0.0001415886,0.00005717042,0.0002410253,0.0001772737,0.0006307234,0.00001072696,0.02831732,0.8084384,0.1590175],"study_design_scores_gemma":[0.002572395,0.000199887,0.0023742,0.0007410923,0.00004029465,0.000006600041,0.0005520706,0.009064355,0.000001107216,0.250652,0.7324485,0.001347537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002937207,0.001447535,0.8243522,0.00007761655,0.001288054,0.0005635684,0.06734291,0.0002761027,0.1046226],"genre_scores_gemma":[0.01482543,0.0005103865,0.6605157,0.000341979,0.001190628,0.00002848547,0.004269977,0.000940168,0.3173773],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2223347,"threshold_uncertainty_score":0.9999526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2618686953878598,"score_gpt":0.5078292100740123,"score_spread":0.2459605146861524,"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."}}