{"id":"W3194763961","doi":"10.5539/ijsp.v10n5p70","title":"Severity of Infestation Levels of Tunga Penetrans in Central, Kenya: A Bayesian Cumulative Logit Model","year":2021,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Dermatological diseases and infestations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Infestation; Logistic regression; Statistics; Toxicology; Medicine; Demography; Mathematics; Biology; Agronomy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003523839,0.0008146344,0.0008979012,0.001023476,0.0005968861,0.001853228,0.001759404,0.001501535,0.003812537],"category_scores_gemma":[0.005780616,0.0008617325,0.00101367,0.0007437678,0.0008540957,0.001184174,0.0009959617,0.00131719,0.0004667241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558672,"about_ca_system_score_gemma":0.001304676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05089109,"about_ca_topic_score_gemma":0.0318592,"domain_scores_codex":[0.9987434,0.0006796339,0.00004378217,0.0002131105,0.00008184954,0.0002383544],"domain_scores_gemma":[0.9960759,0.002993461,0.0004720601,0.00006939261,0.0002247671,0.0001643295],"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":[0.001105205,0.0006063219,0.2016502,0.0002259766,0.0005936707,0.00113935,0.0006931568,0.7520378,0.001062118,0.01892671,0.002149395,0.01981002],"study_design_scores_gemma":[0.00004575916,0.0001339846,0.02018165,0.00003332706,0.00008925769,0.0001221166,0.0001837143,0.9754297,0.00004996781,0.003253392,0.0004469756,0.00003011438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9547299,0.0005954952,0.03853842,0.001220173,0.00003097485,0.0001746115,0.001387913,0.0001139117,0.003208609],"genre_scores_gemma":[0.9922996,0.000270499,0.003665844,0.00005204399,0.00001592161,0.00009898438,0.0004942034,0.00001087913,0.003091994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05089109,"threshold_uncertainty_score":0.1011898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04186270545734436,"score_gpt":0.3321936192949065,"score_spread":0.2903309138375622,"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."}}