{"id":"W7027369374","doi":"","title":"Count Data Modeling and Classification Using Statistical 
\\nHierarchical Approaches and Multi-topic Models","year":2014,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nucleofection; TSG101; Gestational period; Hyporeflexia; Dysgeusia; Articular cartilage damage","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.006549468,0.001195234,0.001982172,0.004379911,0.00101528,0.004520346,0.004981579,0.002160958,0.00326131],"category_scores_gemma":[0.02072255,0.000969351,0.002981931,0.005444821,0.001492345,0.006608193,0.002067229,0.003315932,0.001724168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002642709,"about_ca_system_score_gemma":0.001807104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01082601,"about_ca_topic_score_gemma":0.01407281,"domain_scores_codex":[0.9959062,0.001693157,0.0003368949,0.001081924,0.0007119175,0.0002697289],"domain_scores_gemma":[0.9863874,0.009360348,0.001248748,0.001452983,0.001311574,0.0002389894],"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":[0.00018893,0.0002595754,0.01272837,0.0003854601,0.0003393411,0.0002094268,0.000682367,0.4918903,0.0014592,0.243154,0.007712758,0.2409901],"study_design_scores_gemma":[0.000006095851,0.00002302001,0.0006976729,0.00002170867,0.00002359632,0.00003466913,0.00005108079,0.9590768,0.0002365245,0.03807419,0.001737637,0.00001705003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0109464,0.0006487893,0.985653,0.0007087671,0.00007462681,0.00008399806,0.0004798416,0.0003957695,0.00100876],"genre_scores_gemma":[0.4157493,0.003623449,0.5613645,0.0006324418,0.001214499,0.001112423,0.004652743,0.000333329,0.01131736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01082601,"threshold_uncertainty_score":0.03463727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1837622912159007,"score_gpt":0.3413385955277431,"score_spread":0.1575763043118424,"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."}}