{"id":"W1895331356","doi":"10.1177/0022034515590369","title":"Periodontal Bacteria and Prediabetes Prevalence in ORIGINS","year":2015,"lang":"en","type":"article","venue":"Journal of Dental Research","topic":"Oral microbiology and periodontitis research","field":"Dentistry","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"National Center for Advancing Translational Sciences; National Center for Research Resources; National Institute of Dental and Craniofacial Research; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Prediabetes; Tannerella forsythia; Treponema denticola; Medicine; Periodontitis; Internal medicine; Aggregatibacter actinomycetemcomitans; Odds ratio; Diabetes mellitus; Chronic periodontitis; Gastroenterology; Type 2 diabetes; Porphyromonas gingivalis; Endocrinology; Pathology","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":[0.0008873385,0.0003020793,0.0003381143,0.0009841406,0.0003371675,0.0007087705,0.0002846653,0.000527628,0.001198013],"category_scores_gemma":[0.002123246,0.0004094014,0.0003807993,0.0009278839,0.0002367578,0.0003519627,0.0007253803,0.0006716544,0.0001538303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001905835,"about_ca_system_score_gemma":0.0001573173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003663284,"about_ca_topic_score_gemma":0.00411129,"domain_scores_codex":[0.9993979,0.0002004141,0.00005111633,0.0001410111,0.0001001714,0.0001094419],"domain_scores_gemma":[0.9986556,0.0002212303,0.0007359443,0.00008700548,0.00008940098,0.000210861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002644209,0.00002979968,0.9981422,0.00000825899,0.00003565858,0.00002365393,0.00004888665,0.000009229504,0.0002364591,0.00001106924,0.00002592614,0.001164344],"study_design_scores_gemma":[0.000003731503,0.00005171445,0.9996641,0.000004038389,0.00001817751,0.00007571138,0.00005172649,0.00004022432,0.00003094281,0.00001140665,0.00004681355,0.000001431838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985526,0.0009281659,0.0000643742,0.00002421461,0.000003418801,0.000004410456,0.0001747589,0.000002538891,0.0002454326],"genre_scores_gemma":[0.9993185,0.0002576987,0.00008376902,0.00001521685,0.000009490161,0.000005162221,0.0001829277,0.000001435292,0.0001258317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003663284,"threshold_uncertainty_score":0.007283926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0996434585789007,"score_gpt":0.4100012759470261,"score_spread":0.3103578173681254,"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."}}