{"id":"W2072451811","doi":"10.1177/0022034514527288","title":"Gingival Tissue Transcriptomes Identify Distinct Periodontitis Phenotypes","year":2014,"lang":"en","type":"article","venue":"Journal of Dental Research","topic":"Oral microbiology and periodontitis research","field":"Dentistry","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Center for Advancing Translational Sciences; National Institute of General Medical Sciences; National Institutes of Health; National Institute of Dental and Craniofacial Research; Austrian Science Fund","keywords":"Periodontitis; Transcriptome; Phenotype; Chronic periodontitis; Biology; Aggressive periodontitis; Gene expression; Medicine; Pathology; Immunology; Gene; Dentistry; Genetics","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":[0.0002971143,0.0001970533,0.0003379129,0.0006124086,0.0002333271,0.000489268,0.0001028074,0.0003330472,0.0009668331],"category_scores_gemma":[0.0004971118,0.0001664098,0.0002344204,0.0004817369,0.0002083705,0.0001991716,0.0004442063,0.0002721185,0.0003399364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001241978,"about_ca_system_score_gemma":0.0001188005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003766709,"about_ca_topic_score_gemma":0.0006148624,"domain_scores_codex":[0.9998047,0.00003101139,0.00001579257,0.00006575883,0.00003438828,0.00004826782],"domain_scores_gemma":[0.9998038,0.00004768011,0.00006847966,0.00002232477,0.00002633816,0.00003135885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001343873,0.00006846821,0.2760857,0.0001058061,0.00006898027,0.0001476509,0.000764736,0.0003600044,0.7095715,0.0001290103,0.0001753582,0.01117893],"study_design_scores_gemma":[0.000008424419,0.0001510686,0.9903337,0.00001010943,0.00003527091,0.000338638,0.0005240169,0.0008705378,0.006903259,0.0002449047,0.0005710815,0.000008955313],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982775,0.0002187023,0.0006085201,0.00002231902,0.000002503979,0.00001034689,0.0006197777,0.000007257474,0.0002331787],"genre_scores_gemma":[0.9969458,0.0001793985,0.0009707067,0.00002683094,0.000004820433,0.00002719661,0.001551271,0.000005259065,0.0002886315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009668331,"threshold_uncertainty_score":0.003234446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05078945992478952,"score_gpt":0.4094863295323353,"score_spread":0.3586968696075458,"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."}}