{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00355912,0.001469493,0.001430202,0.005382548,0.003148139,0.003505463,0.002054889,0.002862077,0.2670455],"category_scores_gemma":[0.06152005,0.0008045369,0.001624255,0.003853487,0.001284911,0.003065772,0.001966082,0.00516285,0.1590469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002839638,"about_ca_system_score_gemma":0.00473594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009266998,"about_ca_topic_score_gemma":0.009568121,"domain_scores_codex":[0.9946486,0.0007738721,0.0009557763,0.0005347573,0.002860285,0.0002265938],"domain_scores_gemma":[0.9617255,0.006903405,0.00154049,0.002539119,0.02640488,0.0008867225],"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":[0.00003336976,0.000007531925,0.00008203887,0.0001635056,0.000005757407,0.000122173,0.00003071415,0.00003872921,0.0000501884,0.001512543,0.984322,0.01363142],"study_design_scores_gemma":[0.00001132711,0.00001211383,0.0002189283,0.0002622909,0.000009738839,0.0002439347,0.00006598273,0.00003812317,0.0001293294,0.001053144,0.9979405,0.00001456762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0009412293,0.007176047,0.006256273,0.06578638,0.8189824,0.0003300443,0.02090216,0.002071652,0.07755385],"genre_scores_gemma":[0.01221355,0.02004242,0.01565371,0.06488995,0.1167351,0.0007817458,0.03490935,0.004879409,0.7298949],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2670455,"threshold_uncertainty_score":0,"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."}}