{"id":"W3153836838","doi":"10.1111/jphd.12455","title":"The influence of living conditions and individual behaviors on the oral‐systemic disease connection: a cross‐sectional analysis","year":2021,"lang":"en","type":"article","venue":"Journal of Public Health Dentistry","topic":"Dental Health and Care Utilization","field":"Dentistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Disease; Gerontology; Logistic regression; Cross-sectional study; Demography; Environmental health; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036886,0.0001228232,0.0002778677,0.000204735,0.0008973022,0.0004668855,0.0002723787,0.00008605863,0.0002599016],"category_scores_gemma":[0.003152939,0.0000861333,0.0002239772,0.0009712967,0.0001975592,0.0003572963,0.00008112891,0.0004213758,0.000008527806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002075903,"about_ca_system_score_gemma":0.001308059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006511069,"about_ca_topic_score_gemma":0.0004944126,"domain_scores_codex":[0.9964712,0.0009598694,0.001123635,0.0001909999,0.0009364783,0.0003178325],"domain_scores_gemma":[0.9956077,0.001440326,0.001188902,0.0002897607,0.0009777466,0.000495577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002575854,0.0001469562,0.9956657,0.0001392698,0.0002378988,0.0001048586,0.0001082477,0.0002871176,0.00003300817,0.001418141,0.001191171,0.0006418584],"study_design_scores_gemma":[0.0001979417,0.00006555024,0.9959502,0.0001800871,0.0001335795,0.001587109,0.001207542,0.00005041577,0.000008894853,0.00006814463,0.0004849827,0.0000655717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956445,0.001629021,0.0003450856,0.0008738229,0.001103782,0.0001331722,0.0002348296,0.00001096979,0.0000248755],"genre_scores_gemma":[0.9984983,0.000251884,0.00001210465,0.000677016,0.000143239,0.00001273032,0.00003435228,0.000009977981,0.0003604078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002853846,"threshold_uncertainty_score":0.6901414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06110350422026604,"score_gpt":0.3832565989553638,"score_spread":0.3221530947350978,"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."}}