{"id":"W4399108714","doi":"10.5357/koubyou.91.1_8","title":"Characterizing Bacterial Communities among Healthy, Peri-implant Mucositis, and Peri-implantitis Statuses by 16S rRNA Gene Amplicon Sequencing","year":2024,"lang":"en","type":"article","venue":"THE JOURNAL OF THE STOMATOLOGICAL SOCIETY JAPAN","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Peri-implantitis; Mucositis; Amplicon; Amplicon sequencing; 16S ribosomal RNA; Biology; Peri; Gene; Dentistry; Medicine; Genetics; Implant; Internal medicine; Polymerase chain reaction; Surgery","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":[0.000892595,0.0003145549,0.0005883556,0.00003488584,0.0007622135,0.0005282392,0.0007899268,0.0002135197,0.0001786346],"category_scores_gemma":[0.00003169309,0.0001662873,0.0004410332,0.0001458433,0.0005357912,0.0003862457,0.000477767,0.0009917527,0.0000133591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002039051,"about_ca_system_score_gemma":0.00006905495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008822748,"about_ca_topic_score_gemma":0.0001839431,"domain_scores_codex":[0.9976862,0.0004742836,0.0007204785,0.000164261,0.0004436398,0.0005111465],"domain_scores_gemma":[0.9984678,0.000557491,0.0004340414,0.000317226,0.00005900194,0.0001644522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"case_report","study_design_scores_codex":[0.0008097196,0.0002763064,0.1077211,0.001109481,0.002044021,0.00139762,0.03436163,0.000006571409,0.595009,0.001785382,0.2481237,0.007355417],"study_design_scores_gemma":[0.002535267,0.001658456,0.3927879,0.002412863,0.001188773,0.4354417,0.04448778,0.001117028,0.06115321,0.001368936,0.0540259,0.001822163],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939032,0.001944317,0.0001262028,0.001143883,0.001936836,0.0002432184,0.0004592723,0.0001607901,0.00008227482],"genre_scores_gemma":[0.9954993,0.002503364,0.0002159545,0.001323518,0.0002265792,0.000004789278,0.00003588019,0.00003549356,0.0001551213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5338558,"threshold_uncertainty_score":0.6781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02547995166345248,"score_gpt":0.278307429283456,"score_spread":0.2528274776200036,"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."}}