{"id":"W2565002883","doi":"10.1159/000450891","title":"Discrete Distribution Based on Compound Sum to Model Dental Caries Count Data","year":2016,"lang":"en","type":"article","venue":"Caries Research","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Count data; Negative binomial distribution; Binomial distribution; Statistics; Mathematics; Zero (linguistics); Overdispersion; Dentistry; Distribution (mathematics); Medicine; Econometrics; Poisson distribution","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":[0.009819071,0.001244005,0.002444532,0.002915512,0.0007743772,0.002232034,0.003442826,0.002131617,0.005194395],"category_scores_gemma":[0.02548802,0.000944027,0.002449896,0.002727282,0.002162278,0.003614775,0.002494507,0.003837291,0.001443949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001749125,"about_ca_system_score_gemma":0.001566107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00925348,"about_ca_topic_score_gemma":0.006186024,"domain_scores_codex":[0.9962424,0.002103893,0.0001801238,0.000582592,0.0006477601,0.0002431982],"domain_scores_gemma":[0.9843076,0.01289581,0.0008551693,0.000752788,0.0008653843,0.0003232619],"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":[0.000168828,0.00009736462,0.005544371,0.0001972342,0.0001593654,0.0002795579,0.0004253353,0.6218555,0.001027628,0.3307207,0.002164858,0.03735923],"study_design_scores_gemma":[0.00001155276,0.00003003682,0.0003589882,0.00001817629,0.00001856132,0.00006597777,0.00001884634,0.9357983,0.0001770704,0.06232656,0.001155397,0.00002053638],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01408047,0.000325183,0.9839724,0.0002633598,0.0000569259,0.00007133308,0.0002650593,0.0001998742,0.0007652809],"genre_scores_gemma":[0.4016652,0.001861617,0.578923,0.0003812665,0.0003133888,0.001368302,0.002185016,0.0004115175,0.01289064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009819071,"threshold_uncertainty_score":0.05192888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1513706930748966,"score_gpt":0.4157701148788177,"score_spread":0.2643994218039212,"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."}}