{"id":"W2804601337","doi":"","title":"A Simulation Study to Evaluate Bayesian LASSO’s Performance in Zero-Inflated Poisson (ZIP) Models","year":2016,"lang":"en","type":"dissertation","venue":"University Library - University of Saskatchewan (University of Saskatchewan)","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lasso (programming language); Zero-inflated model; Poisson distribution; Zero (linguistics); Bayesian probability; Statistics; Poisson regression; Econometrics; Mathematics; Computer science; Medicine; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02117726,0.001118976,0.001158042,0.00106456,0.0009033839,0.001185162,0.001418788,0.00169906,0.002091082],"category_scores_gemma":[0.04634684,0.0003838385,0.001464181,0.001304457,0.001107796,0.001341375,0.001418161,0.003265684,0.000294297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004745,"about_ca_system_score_gemma":0.001366644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008891486,"about_ca_topic_score_gemma":0.00639912,"domain_scores_codex":[0.9932509,0.005306322,0.0002476211,0.0004034691,0.0004794598,0.000312243],"domain_scores_gemma":[0.8652211,0.123144,0.003194255,0.003162745,0.004276098,0.001001728],"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":[0.0007579725,0.0004720594,0.02628426,0.0004751379,0.0003372534,0.0002985757,0.0003787783,0.9124354,0.0008343408,0.02461659,0.005676329,0.02743332],"study_design_scores_gemma":[0.00009717601,0.0002394736,0.002422456,0.00008178125,0.00005749537,0.00006107477,0.0001783201,0.9906676,0.000418717,0.004893023,0.0008566017,0.00002631519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6925132,0.00405523,0.2851785,0.00386554,0.000414283,0.0005605362,0.001598329,0.0005043286,0.01130996],"genre_scores_gemma":[0.8801584,0.00126905,0.1128322,0.0006545751,0.0001503055,0.0005509024,0.002407236,0.00009561611,0.001881603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02117726,"threshold_uncertainty_score":0.1119974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02799752970689343,"score_gpt":0.2580870734305496,"score_spread":0.2300895437236562,"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."}}