{"id":"W6920655096","doi":"10.6084/m9.figshare.21622454.v1","title":"Additional file 3 of Is the cholesterol-perfluoroalkyl substance association confounded by dietary fiber intake?: a Bayesian analysis of NHANES data with adjustment for measurement error in fiber intake","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Dietary fiber; Bayesian probability; Observational error; Association (psychology); Fiber; Standard error","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002859841,0.001138509,0.001409044,0.002179282,0.0009994555,0.001744939,0.00223867,0.001430286,0.8805499],"category_scores_gemma":[0.04771964,0.0008821809,0.001568007,0.003639848,0.0003211841,0.001771079,0.001038766,0.00108375,0.1695713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010489,"about_ca_system_score_gemma":0.002014488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02025224,"about_ca_topic_score_gemma":0.02661455,"domain_scores_codex":[0.9989699,0.0002761223,0.0001457233,0.0002809238,0.0001912366,0.0001360335],"domain_scores_gemma":[0.9479993,0.04535193,0.001577063,0.001698317,0.002853163,0.0005202571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004044194,0.00009167266,0.00603425,0.002077192,0.0001549325,0.0001106164,0.0001030316,0.001107835,0.0000929262,0.001031601,0.9805038,0.008287735],"study_design_scores_gemma":[0.012357,0.000487764,0.07191875,0.004259255,0.001029857,0.001116058,0.0008939193,0.00707595,0.001151746,0.027886,0.8715035,0.0003203024],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002164238,0.00001275792,0.0003538124,0.00007199028,0.00001356102,0.0000468447,0.9983632,0.0002461008,0.0006752492],"genre_scores_gemma":[0.01566144,0.0001391784,0.00677215,0.0006968704,0.0001260102,0.002082908,0.959078,0.001769014,0.01367454],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8805499,"threshold_uncertainty_score":0.170381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06431942365575223,"score_gpt":0.2751673513144345,"score_spread":0.2108479276586823,"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."}}