{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001066272,0.0001492112,0.0001411081,0.0001409435,0.0008843271,0.0002471845,0.0002898277,0.00007546837,0.0001532396],"category_scores_gemma":[0.00006410448,0.0001204377,0.00006025622,0.0004322406,0.0002154391,0.001133133,0.00001484718,0.0008105439,0.00005872464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004805336,"about_ca_system_score_gemma":0.002593896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006871208,"about_ca_topic_score_gemma":0.01253418,"domain_scores_codex":[0.9970767,0.0001258805,0.0002450891,0.0002065154,0.0007711692,0.001574615],"domain_scores_gemma":[0.9990117,0.0000467089,0.0002173629,0.000106626,0.0005098623,0.0001077507],"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":[0.00003624682,0.0001315543,0.001969397,0.0000209753,0.0002481847,0.000003399174,0.002622932,0.005186078,0.00001833637,0.985904,0.0009466577,0.002912233],"study_design_scores_gemma":[0.0004837689,0.0001753167,0.00229128,0.00002879666,0.00005681406,0.00004910018,0.009530708,0.0004538951,0.000005943393,0.9859496,0.0007252257,0.000249523],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4732622,0.002726651,0.4946525,0.007014002,0.000384241,0.001514373,0.00001182308,0.0002072132,0.02022707],"genre_scores_gemma":[0.9967564,0.0009522655,0.0001998218,0.0001726687,0.0004417942,0.00006313164,0.00001269998,0.00001730405,0.001383946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5234942,"threshold_uncertainty_score":0.6994368,"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."}}