{"id":"W1973455669","doi":"10.1902/jop.2008.080139","title":"Transcriptomes in Healthy and Diseased Gingival Tissues","year":2008,"lang":"en","type":"article","venue":"Journal of Periodontology","topic":"Oral microbiology and periodontitis research","field":"Dentistry","cited_by":204,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"National Institute of Dental and Craniofacial Research; National Institute of General Medical Sciences; U.S. Public Health Service; National Institutes of Health","keywords":"Periodontitis; Transcriptome; Bleeding on probing; Pathogenesis; Chronic periodontitis; Gene expression; Gene ontology; DNA microarray; Medicine; Microarray; Biology; Gene; Pathology; Bioinformatics; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000291947,0.0001144978,0.0004647785,0.0002671254,0.0001147446,0.00001696634,0.0001830313,0.0001599513,0.0005817231],"category_scores_gemma":[0.0001040112,0.00009765333,0.00009567518,0.0001202519,0.000379225,0.0001737353,0.00002507028,0.0004327973,0.00002833896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004384987,"about_ca_system_score_gemma":0.0001538411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001602431,"about_ca_topic_score_gemma":0.001018907,"domain_scores_codex":[0.9986855,0.0002645733,0.0004658921,0.0001506791,0.0001177868,0.0003156099],"domain_scores_gemma":[0.9994411,0.00008842101,0.0001322023,0.0001027673,0.00008698911,0.0001484796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001603954,0.0001375034,0.9775912,0.00005171859,0.00004505085,0.004166604,0.001467111,0.000001944464,0.009952385,0.0001233378,0.002092145,0.00276701],"study_design_scores_gemma":[0.002330105,0.0007310972,0.9577908,0.00002796294,0.00001108221,0.01059913,0.0002214613,0.000009556346,0.0002467018,0.0000843516,0.02783178,0.0001159903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866527,0.0109374,0.00004157633,0.00140384,0.0006040757,0.00007095144,0.00001239537,0.000008213679,0.0002687953],"genre_scores_gemma":[0.9977382,0.001050162,0.0003580081,0.0001965,0.000156067,0.000001810224,0.00000227625,0.0000098489,0.0004871367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02573964,"threshold_uncertainty_score":0.636946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03262391704199118,"score_gpt":0.3266461026913504,"score_spread":0.2940221856493592,"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."}}