{"id":"W2940353781","doi":"10.1111/joor.12798","title":"Where periodontitis meets metabolic syndrome—The role of common health‐related risk factors","year":2019,"lang":"en","type":"article","venue":"Journal of Oral Rehabilitation","topic":"Oral microbiology and periodontitis research","field":"Dentistry","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Periodontitis; Metabolic syndrome; Diabetes mellitus; Blood pressure; Abdominal obesity; Waist; Internal medicine; Stroke (engine); Obesity; Population; Logistic regression; Environmental health; Endocrinology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001686791,0.0001459255,0.000656869,0.0002050937,0.0001437816,0.00004450234,0.0003475511,0.0001695542,0.001219186],"category_scores_gemma":[0.0004795965,0.00009933567,0.0003429184,0.0003293667,0.0001988846,0.0003869717,0.00005410559,0.0006258882,0.0001445151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008636393,"about_ca_system_score_gemma":0.0001467076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693207,"about_ca_topic_score_gemma":0.0006590915,"domain_scores_codex":[0.9971802,0.001068334,0.0009872885,0.0001580601,0.0003500742,0.0002560682],"domain_scores_gemma":[0.9976982,0.0005596977,0.0009994295,0.0002871553,0.0003572283,0.00009827626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001480738,0.000165277,0.9781087,0.0000966714,0.0001988526,0.00001289965,0.00185534,0.0001412679,0.008642615,0.0004649541,0.001214981,0.008950352],"study_design_scores_gemma":[0.0007818378,0.001547004,0.9606264,0.000133741,0.00004115297,0.0003626538,0.00209571,0.00004617579,0.0007213842,0.0009601526,0.03258164,0.0001021012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986133,0.011138,0.000004815318,0.001418367,0.0007606305,0.0003238437,0.00007523459,0.000009656108,0.0001364524],"genre_scores_gemma":[0.9985283,0.0003763481,0.0006928596,0.00001319144,0.00001901872,0.000002217536,0.00001131984,0.00001802212,0.0003387326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03136666,"threshold_uncertainty_score":0.9996938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008856857762237455,"score_gpt":0.2901703120088737,"score_spread":0.2813134542466362,"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."}}