{"id":"W2596072428","doi":"10.1111/biom.12691","title":"Joint Modeling of Zero-Inflated Panel Count and Severity Outcomes","year":2017,"lang":"en","type":"article","venue":"Biometrics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Joint (building); Zero (linguistics); Count data; Statistics; Computer science; Mathematics; Econometrics; Medicine; Engineering; Structural engineering; Poisson distribution","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04080389,0.001308372,0.002363466,0.001304761,0.0007157322,0.00243821,0.003507576,0.0025063,0.005265241],"category_scores_gemma":[0.09381355,0.0008677284,0.002703933,0.002409148,0.00220482,0.002209614,0.00224515,0.003842251,0.0009263901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220547,"about_ca_system_score_gemma":0.001938551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008779897,"about_ca_topic_score_gemma":0.007385924,"domain_scores_codex":[0.9770669,0.01784689,0.0006162961,0.00249886,0.001311082,0.0006600322],"domain_scores_gemma":[0.8867797,0.09087306,0.009358767,0.009752051,0.002422989,0.0008134299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001008955,0.0004158552,0.08667001,0.0004662614,0.0017434,0.0007499723,0.001221928,0.4885563,0.001238149,0.3050584,0.004692489,0.1081783],"study_design_scores_gemma":[0.0001091111,0.0003745114,0.01368664,0.0001123122,0.0003242853,0.0001633817,0.0001439187,0.8212577,0.000647353,0.1592123,0.003886353,0.00008217408],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03996395,0.000339228,0.9557871,0.0008185121,0.0001168246,0.0002734603,0.001112743,0.0002434608,0.001344735],"genre_scores_gemma":[0.6702569,0.0009344165,0.3153053,0.0005950683,0.000309382,0.001727061,0.003127035,0.0001067626,0.007638012],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04080389,"threshold_uncertainty_score":0.2157942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.284978990383951,"score_gpt":0.4061521849871645,"score_spread":0.1211731946032135,"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."}}