{"id":"W3122779936","doi":"","title":"Asymmetric Stochastic Conditional Duration Model — A Mixture-of-Normal Approach","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Waterloo","funders":"","keywords":"Duration (music); Bivariate analysis; Econometrics; IBM; Extension (predicate logic); Mathematics; Statistics; 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":[0.0060271,0.001138638,0.002010769,0.002235232,0.0006488505,0.00236274,0.004583518,0.002457932,0.006094265],"category_scores_gemma":[0.01698713,0.001081694,0.00171659,0.0022312,0.00188747,0.004469594,0.00228404,0.003417533,0.001534173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707562,"about_ca_system_score_gemma":0.001660974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008346668,"about_ca_topic_score_gemma":0.005573315,"domain_scores_codex":[0.9972966,0.001105083,0.0001411282,0.000684127,0.0004543525,0.0003186255],"domain_scores_gemma":[0.9912394,0.005201152,0.001284782,0.0008549234,0.000962706,0.0004570349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002276982,0.00009455613,0.005478095,0.0001130854,0.0001512038,0.0003002902,0.0003523916,0.2916434,0.001168833,0.6659929,0.002781481,0.03169622],"study_design_scores_gemma":[0.00002164532,0.00002832753,0.0009221313,0.00001915319,0.00004414588,0.0001478546,0.00002609196,0.8943172,0.0001913001,0.1017063,0.002533203,0.00004268067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02902473,0.0005663042,0.9653035,0.0006285975,0.0001111411,0.00007895326,0.0006434888,0.0003200374,0.003323249],"genre_scores_gemma":[0.8028497,0.002036767,0.1700652,0.0003454935,0.0005212683,0.0005205584,0.002171765,0.0002800676,0.02120923],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008346668,"threshold_uncertainty_score":0.03187472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02981319778057598,"score_gpt":0.2039262805476842,"score_spread":0.1741130827671082,"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."}}