{"id":"W4229624329","doi":"10.1002/asmb.2432","title":"Authors' Rejoinder","year":2019,"lang":"en","type":"article","venue":"Applied Stochastic Models in Business and Industry","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Statistics; Library science; 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":[0.0001581093,0.000143237,0.0002156643,0.00007327258,0.00006171734,0.00003494115,0.0000947204,0.0002954563,0.0003785576],"category_scores_gemma":[0.0001020016,0.0001350529,0.0000136836,0.0003585735,0.00006810738,0.00008522063,0.0000559004,0.0003773657,0.00004865572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003298954,"about_ca_system_score_gemma":0.00004503828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001396065,"about_ca_topic_score_gemma":0.000002053718,"domain_scores_codex":[0.9990224,0.00001048632,0.0002981111,0.0002815779,0.0001743537,0.0002131278],"domain_scores_gemma":[0.9993104,0.0002146389,0.00007421794,0.0002375613,0.00007405227,0.00008909174],"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":[0.00001050644,0.00006698805,0.00002630219,0.00003924389,0.000004145751,4.615869e-7,0.00006184426,0.0044472,0.00005669372,0.9934866,0.0005884151,0.001211538],"study_design_scores_gemma":[0.0009051561,0.000005880122,0.005329334,0.00006423733,0.00001534359,0.000006591087,0.0001887565,0.1366856,0.00001170651,0.8564498,0.0001050719,0.0002324954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1047088,0.000009249589,0.8796363,0.0005307224,0.00006273946,0.0004069193,0.00003457959,0.00005859298,0.01455207],"genre_scores_gemma":[0.9943656,0.000001453922,0.004864928,0.0001389322,0.00003010748,0.0001241081,0.00002742692,0.00001717117,0.0004302688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8896568,"threshold_uncertainty_score":0.5507297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06822506974551125,"score_gpt":0.3187471800883497,"score_spread":0.2505221103428385,"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."}}