{"id":"W2008192038","doi":"10.1007/s00477-012-0561-5","title":"Parameter and quantile estimation of the 2-parameter kappa distribution by maximum likelihood","year":2012,"lang":"en","type":"article","venue":"Stochastic Environmental Research and Risk Assessment","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quantile; Kappa; Mathematics; Statistics; Maximum likelihood; Shape parameter; Estimation theory; Estimation; Distribution (mathematics); Applied mathematics; Econometrics; Mathematical analysis; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006540348,0.0001533859,0.0002137077,0.00006405938,0.0004738478,0.0001376086,0.0003038989,0.00007619471,0.000142216],"category_scores_gemma":[0.001287336,0.00008812145,0.00006573795,0.0002003843,0.0008032863,0.0003074245,0.0004386363,0.0003810059,0.00002631046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001579489,"about_ca_system_score_gemma":0.00002833985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000750168,"about_ca_topic_score_gemma":0.000005984906,"domain_scores_codex":[0.9953423,0.0006423513,0.0004917309,0.0003964176,0.002617682,0.0005095538],"domain_scores_gemma":[0.9969898,0.00204779,0.000195488,0.0004887805,0.00003940273,0.0002387695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001595552,0.002170993,0.6711848,0.00004177249,0.0001148165,5.349438e-7,0.0007738524,0.0005298879,0.007147154,0.00117619,0.005238567,0.3114619],"study_design_scores_gemma":[0.0008513251,0.0008319677,0.8727956,0.00006055591,0.00005634855,0.000005786103,0.001971491,0.02425255,0.002524385,0.09496585,0.00143922,0.0002449585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9240686,0.000933395,0.07351641,0.0003697983,0.0001329731,0.0006427586,0.0002643858,0.000004517261,0.00006720391],"genre_scores_gemma":[0.9981385,0.0003781424,0.001250393,0.00001558567,0.00002524098,0.00006058919,0.00002620045,0.000007046101,0.00009832112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.311217,"threshold_uncertainty_score":0.3644502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07148164151909714,"score_gpt":0.3891359155073917,"score_spread":0.3176542739882945,"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."}}