{"id":"W1540301262","doi":"","title":"Stochastic Conditional Duration Models with Mixture Processes","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Weibull distribution; Gamma distribution; Econometrics; Duration (music); Generalized gamma distribution; Mathematics; Conditional probability distribution; Statistics; Bayesian inference; Bayesian probability; Computer science","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":[0.007072865,0.001244936,0.001719416,0.002165458,0.0007089221,0.00285795,0.004043155,0.002857622,0.005641058],"category_scores_gemma":[0.02055289,0.001178248,0.002118765,0.002214907,0.002212221,0.004915243,0.002301506,0.003703359,0.001119936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001803557,"about_ca_system_score_gemma":0.001243631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01054133,"about_ca_topic_score_gemma":0.00578137,"domain_scores_codex":[0.9974086,0.001090334,0.0001243691,0.0006516877,0.0004102714,0.0003147202],"domain_scores_gemma":[0.9865725,0.009600574,0.00150726,0.0008962012,0.0009402244,0.0004832105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001854489,0.00008168139,0.005839294,0.00009345546,0.0001212302,0.0002338561,0.0004647712,0.4948061,0.0007369,0.478377,0.001587892,0.01747222],"study_design_scores_gemma":[0.00002246412,0.00002628596,0.0008695265,0.00002025303,0.00002620587,0.00007424391,0.00003012899,0.9222568,0.0001073526,0.07527347,0.001261814,0.00003149089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05936684,0.0007984869,0.9352725,0.0007090399,0.0001029837,0.00009573239,0.000723473,0.0003637566,0.002567147],"genre_scores_gemma":[0.8571706,0.001387241,0.1255845,0.0002928015,0.0003702815,0.0005194321,0.002033037,0.0001812171,0.01246086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01054133,"threshold_uncertainty_score":0.03740531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00862254094133715,"score_gpt":0.2442067302055928,"score_spread":0.2355841892642556,"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."}}