{"id":"W4254031646","doi":"10.1080/08982112.2019.1599946","title":"Rejoinder","year":2019,"lang":"en","type":"article","venue":"Quality Engineering","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Business; Computer science","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":[0.0003832515,0.00007403388,0.000158749,0.00001984749,0.00001073749,0.000007615721,0.00005582711,0.00003607985,0.0001307455],"category_scores_gemma":[0.0006400548,0.00006825753,0.000035244,0.00004805229,0.000004680758,0.00005134965,0.00002222229,0.00009960118,0.00005291442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002008089,"about_ca_system_score_gemma":0.000004973353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002640213,"about_ca_topic_score_gemma":3.179395e-7,"domain_scores_codex":[0.9994088,0.00002435295,0.0001752996,0.0001257249,0.0001118873,0.0001538745],"domain_scores_gemma":[0.9990393,0.0006550238,0.00002609241,0.0002118085,0.00001909167,0.00004866537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002616403,0.00001125155,0.00005505759,0.0001351572,0.000008220021,9.45904e-7,0.00008478351,0.0009312741,0.004042696,0.9925509,0.00006012188,0.002116953],"study_design_scores_gemma":[0.0005230152,0.00004280867,0.001364902,0.00007895512,0.00001396302,0.000004679884,0.00008766523,0.04694803,0.00313027,0.9378192,0.00951293,0.0004735119],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07079105,0.00001437796,0.9255254,0.00004157591,0.0001559541,0.0000880345,0.00000418316,0.0001195535,0.003259878],"genre_scores_gemma":[0.3133228,0.000001149047,0.6856785,0.00003788461,0.00003584305,0.000005185805,8.280621e-7,0.00001767503,0.0009001074],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2425317,"threshold_uncertainty_score":0.2783462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1774402571883473,"score_gpt":0.4654979450843673,"score_spread":0.2880576878960199,"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."}}