{"id":"W3001250034","doi":"10.1177/0022034520902452","title":"Modeling Normal and Dysbiotic Subgingival Microbiomes: Effect of Nutrients","year":2020,"lang":"en","type":"article","venue":"Journal of Dental Research","topic":"Oral microbiology and periodontitis research","field":"Dentistry","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Dental and Craniofacial Research","keywords":"Saliva; Microbiome; Dysbiosis; Microbiology; Oral Microbiome; Biology; Periodontitis; Species richness; Biofilm; Bacteroides; Bacteria; Medicine; Dentistry; Bioinformatics; Ecology; Genetics; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001946108,0.0001214436,0.0004040391,0.0003343007,0.0001419796,0.00008292588,0.0004486177,0.0001422173,0.0002556043],"category_scores_gemma":[0.0005897561,0.00009572393,0.0001559913,0.0004366501,0.0003003228,0.0002426536,0.0003515381,0.001004106,0.0001050774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000552603,"about_ca_system_score_gemma":0.00009660429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005337725,"about_ca_topic_score_gemma":0.00001282132,"domain_scores_codex":[0.9976794,0.0006227565,0.0004876631,0.000184521,0.0005971874,0.0004284445],"domain_scores_gemma":[0.9988572,0.0003075905,0.0001018388,0.0001129066,0.0003404313,0.0002800064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002634533,0.0001029391,0.2484664,0.0005103738,0.0001556358,0.0008347316,0.0002901369,0.00006250809,0.7430959,0.00001543119,0.001325835,0.002505579],"study_design_scores_gemma":[0.01432225,0.0135154,0.03748536,0.001060495,0.0001269063,0.006771732,0.001665922,0.008869325,0.9134303,0.0001098214,0.002054734,0.0005877028],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99705,0.002167383,0.0000856206,0.000134003,0.0002068819,0.0001676041,0.00003046836,0.000004704532,0.0001532747],"genre_scores_gemma":[0.9992867,0.0002503712,0.0001015942,0.000016961,0.0001916158,8.779289e-7,0.000004647533,0.00001622433,0.0001310591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2109811,"threshold_uncertainty_score":0.4362399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05218876648773164,"score_gpt":0.379076558930676,"score_spread":0.3268877924429444,"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."}}