{"id":"W4205895280","doi":"10.5539/ijsp.v11n1p10","title":"Alpha Power Extended Inverse Weibull Poisson Distribution: Properties, Inference, and Applications to lifetime data","year":2021,"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; Weibull distribution; Statistics; Poisson distribution; Applied mathematics; Inverse; Quantile","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007687727,0.0008487328,0.001195817,0.002401556,0.0006000284,0.001302907,0.002336563,0.001273588,0.002420445],"category_scores_gemma":[0.02665381,0.0005633214,0.001319187,0.002936835,0.001503584,0.003203165,0.001351443,0.002370953,0.0007192118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020253,"about_ca_system_score_gemma":0.001056402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002392079,"about_ca_topic_score_gemma":0.001318446,"domain_scores_codex":[0.9974756,0.0009267019,0.0001324342,0.0005250649,0.0007887012,0.0001515004],"domain_scores_gemma":[0.9857281,0.008863387,0.001819278,0.001628246,0.001757854,0.0002032319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002236397,0.0001130937,0.02662617,0.0003759967,0.0001792321,0.000912842,0.0006206757,0.5011005,0.004701203,0.2793732,0.004069792,0.1817036],"study_design_scores_gemma":[0.00001871,0.00007832385,0.00333821,0.00005245702,0.00003512888,0.0006764677,0.00009761421,0.8720427,0.001351687,0.1176575,0.004593937,0.00005727541],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01315645,0.0004907209,0.9843516,0.0001878256,0.00004095002,0.00005330295,0.0001554724,0.0002055221,0.001358189],"genre_scores_gemma":[0.6511258,0.003015984,0.3363336,0.0003149029,0.0003713964,0.000671308,0.001317896,0.0002958241,0.006553236],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007687727,"threshold_uncertainty_score":0.0406571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08588155593959314,"score_gpt":0.3732400990647888,"score_spread":0.2873585431251957,"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."}}