{"id":"W4360829847","doi":"10.37119/jpss2023.v21i1.704","title":"Errata","year":2023,"lang":"en","type":"article","venue":"Journal of Probability and Statistical Science","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Weibull distribution; Mathematics; Applied mathematics; Statistics; Gompertz function; Class (philosophy); Statistical physics; Econometrics; Computer science; Physics; 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"],"consensus_categories":[],"category_scores_codex":[0.001741818,0.00004944786,0.0001242113,0.00006121476,0.0001819581,0.00005838259,0.0001572523,0.00001959579,0.0001503851],"category_scores_gemma":[0.01019849,0.0000359935,0.00001782616,0.0006008006,0.0008253972,0.000148103,0.0000484573,0.0001061264,0.00002417424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003615271,"about_ca_system_score_gemma":0.0001324438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001412743,"about_ca_topic_score_gemma":0.000001298208,"domain_scores_codex":[0.9989497,0.00003517115,0.0003407468,0.0001202464,0.0003955369,0.0001585876],"domain_scores_gemma":[0.998225,0.001081468,0.0001046736,0.000103523,0.0002816685,0.0002036598],"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":[0.000005430575,0.00004390206,0.0001512313,0.0000225937,0.000001608116,0.000003178565,0.00005185737,0.000002610069,0.0002379172,0.9903225,0.002919789,0.006237342],"study_design_scores_gemma":[0.0001099069,0.00005277031,0.05003215,0.000009583584,0.000009295003,0.00002207283,0.00004764317,0.005155883,0.00005542475,0.9439151,0.0005469465,0.00004319404],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06128022,0.000004568519,0.9356844,0.001730677,0.0000691907,0.00009689304,0.00009930488,0.00002786135,0.001006872],"genre_scores_gemma":[0.8588356,0.000005839885,0.1410504,0.00003977904,0.00002014808,0.000002956492,0.000001938684,0.000002041199,0.00004122498],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7975554,"threshold_uncertainty_score":0.998139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1567128432656807,"score_gpt":0.4311640988708961,"score_spread":0.2744512556052154,"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."}}