{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002019423,0.0001627182,0.0002016916,0.0001274132,0.0004769583,0.0005554982,0.002404314,0.0000910829,0.0000118176],"category_scores_gemma":[0.0005695426,0.0001077826,0.00004338416,0.0004502823,0.0003716058,0.0006010231,0.001620165,0.0002631673,0.00006100408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002755619,"about_ca_system_score_gemma":0.0004380026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001584199,"about_ca_topic_score_gemma":0.0001335311,"domain_scores_codex":[0.996837,0.0003886551,0.0001975693,0.0007845617,0.001105685,0.0006864888],"domain_scores_gemma":[0.996604,0.0005776629,0.00002861106,0.002174396,0.0003230934,0.0002922607],"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":[0.0002630014,0.000126614,0.0006748013,0.00004755652,0.00003248173,0.00007785744,0.0006219332,0.0004760008,0.005468266,0.79457,0.122517,0.07512444],"study_design_scores_gemma":[0.0005693575,0.0002408217,0.0004713816,0.0001084788,0.000006074863,0.000006182956,0.00003415688,0.92443,0.004964134,0.02933427,0.03950049,0.0003346815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002060066,0.00006877959,0.9874871,0.007653511,0.0002298569,0.000315702,0.0008841644,0.00007206727,0.001228732],"genre_scores_gemma":[0.8908721,0.00001725799,0.1073174,0.0003449874,0.0001267137,0.00004596098,0.0001639475,0.00001762751,0.001094025],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.923954,"threshold_uncertainty_score":0.5356682,"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."}}