{"id":"W2898592278","doi":"10.5539/ijsp.v7n6p132","title":"Comparative Study of the Non-Homogeneous Poisson Process Type-I Generalized Half-Logistic Distribution","year":2018,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Poisson process; Homogeneous; Statistics; Poisson distribution; Logistic distribution; Type (biology); Logistic regression; Confidence interval; Distribution (mathematics); Applied mathematics; Combinatorics; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000401321,0.0001043638,0.0002447809,0.00002813018,0.0001148862,0.00003866641,0.0002813697,0.00003554785,0.00009371019],"category_scores_gemma":[0.001575887,0.00007118344,0.00003533046,0.0001518871,0.0003232319,0.00005311732,0.00005463327,0.0001234668,0.000002397443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007435745,"about_ca_system_score_gemma":0.0001121093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003061379,"about_ca_topic_score_gemma":0.00006233154,"domain_scores_codex":[0.9985318,0.000109423,0.0006547511,0.0001298265,0.0004821012,0.00009215221],"domain_scores_gemma":[0.9958302,0.0004422067,0.0006193711,0.0001473609,0.002895243,0.00006563628],"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":[0.0006215519,0.003044575,0.008335967,0.0001140782,0.0003909435,0.000009145811,0.003479755,0.0001686744,0.000545458,0.9743283,0.004926209,0.004035334],"study_design_scores_gemma":[0.001742817,0.000907907,0.1053877,0.00007575648,0.0001949875,0.00007325762,0.0006033135,0.01227857,0.001754497,0.8763213,0.0004854787,0.0001744021],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6358013,0.000007117083,0.3626167,0.0002297702,0.0002524812,0.0002806268,0.000720473,0.000004686658,0.00008686207],"genre_scores_gemma":[0.988243,0.000004255361,0.01157954,0.00002099163,0.00008706284,0.000007848627,0.00003345092,0.000004613782,0.00001920893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3524418,"threshold_uncertainty_score":0.2902776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09370919950661939,"score_gpt":0.4189738332249565,"score_spread":0.3252646337183371,"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."}}