{"id":"W2609044635","doi":"10.1902/jop.2017.160751","title":"Biomarkers and Bacteria Around Implants and Natural Teeth in the Same Individuals","year":2017,"lang":"en","type":"article","venue":"Journal of Periodontology","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Gingivitis; Prevotella intermedia; Streptococcus oralis; Treponema denticola; Bleeding on probing; Medicine; Dentistry; Periodontitis; Mucositis; Peri-implantitis; Chronic periodontitis; Internal medicine; Implant; Porphyromonas gingivalis; Streptococcus mutans; Biology; Surgery; Bacteria","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":[0.0005943307,0.0001134931,0.0003242728,0.0001054568,0.0001772224,0.0003332261,0.0003847432,0.0001091467,0.00002571981],"category_scores_gemma":[0.0001424154,0.00006961687,0.00005329401,0.00002055441,0.0002170537,0.0003200366,0.0001143484,0.0002703201,0.000003107916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000188764,"about_ca_system_score_gemma":0.00001876326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002523047,"about_ca_topic_score_gemma":0.001280538,"domain_scores_codex":[0.9991271,0.0001098986,0.0003296556,0.0001078517,0.0001349579,0.0001905377],"domain_scores_gemma":[0.999172,0.0001340538,0.0004274455,0.0001900359,0.00002566405,0.0000507611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001088883,0.00002357027,0.980052,0.00001739714,0.00007462833,0.002054399,0.0007336437,7.615498e-9,0.003834486,0.0001764257,0.001232792,0.01169175],"study_design_scores_gemma":[0.0007338134,0.0000947654,0.9357924,0.00003067086,0.00002754048,0.05899372,0.0006817836,0.000003481005,0.0001341994,0.0003979185,0.003031205,0.00007852571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969139,0.0009003518,0.000005202831,0.0008353674,0.0009938463,0.00007816657,0.00001890735,0.000005071928,0.0002492052],"genre_scores_gemma":[0.9988033,0.0001749808,0.0005039372,0.0003172036,0.00008804804,0.000001208436,0.000001667454,0.000006073933,0.0001035372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05693933,"threshold_uncertainty_score":0.3213307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02711684684950404,"score_gpt":0.3354211156949017,"score_spread":0.3083042688453976,"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."}}