{"id":"W2156623745","doi":"10.1080/00401706.2012.680394","title":"Compliance Testing for Random Effects Models With Joint Acceptance Criteria","year":2012,"lang":"en","type":"article","venue":"Technometrics","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Queen's University; Acadia University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Acceptance sampling; Consistency (knowledge bases); Variance (accounting); Acceptance testing; Sample (material); Quality (philosophy); Computer science; Process (computing); Joint (building); Sampling (signal processing); Statistics; Econometrics; Sample size determination; Mathematics; Engineering; Artificial intelligence; Accounting; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2712128,0.003541348,0.006490643,0.006316639,0.00264257,0.006110287,0.008845524,0.008791741,0.00759934],"category_scores_gemma":[0.6289378,0.002396948,0.006935344,0.005927657,0.009481632,0.009861029,0.006211403,0.008240672,0.001236941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003676087,"about_ca_system_score_gemma":0.005435389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003880656,"about_ca_topic_score_gemma":0.001884306,"domain_scores_codex":[0.5920468,0.344115,0.01234159,0.01999532,0.02669642,0.004804819],"domain_scores_gemma":[0.1612458,0.7823828,0.02223849,0.01971903,0.01309861,0.001315393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003570568,0.001233458,0.04502368,0.001530735,0.003801774,0.00171347,0.00315481,0.4911021,0.001350753,0.347492,0.003871721,0.0961549],"study_design_scores_gemma":[0.0003630213,0.0006448876,0.002696514,0.0001275335,0.000166959,0.0002214422,0.0002009432,0.8865857,0.0005975565,0.1073108,0.0009983185,0.0000864156],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05190193,0.0002290182,0.9422331,0.001081904,0.000120133,0.001117763,0.0003258598,0.0006790242,0.002311257],"genre_scores_gemma":[0.6499322,0.0002058599,0.3409528,0.000738249,0.0001944759,0.005375308,0.001100761,0.0002432389,0.001257112],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2712128,"threshold_uncertainty_score":0.8987244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4396874233131604,"score_gpt":0.4636181893257912,"score_spread":0.02393076601263078,"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."}}