{"id":"W3159597621","doi":"10.7150/thno.57775","title":"Machine learning-assisted immune profiling stratifies peri-implantitis patients with unique microbial colonization and clinical outcomes","year":2021,"lang":"en","type":"article","venue":"Theranostics","topic":"Oral microbiology and periodontitis research","field":"Dentistry","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"National Institute of Dental and Craniofacial Research","keywords":"Peri-implantitis; Immune system; Colonization; Medicine; Internal medicine; Immunology; Biology; Microbiology; 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":[0.0001869225,0.000152509,0.0003133712,0.0000352987,0.0001779798,0.0001154903,0.00009796638,0.0002014952,0.0001755987],"category_scores_gemma":[0.0003438217,0.0001245244,0.00005318507,0.0001224268,0.0002200517,0.00007447557,0.00008341236,0.0004380621,0.00002165372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001849608,"about_ca_system_score_gemma":0.0001039375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001031593,"about_ca_topic_score_gemma":0.0008782463,"domain_scores_codex":[0.998649,0.0004215251,0.0003348932,0.0002657904,0.0001055033,0.0002232686],"domain_scores_gemma":[0.999094,0.0002920811,0.0001016167,0.0001720337,0.0002858829,0.00005436453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002114184,0.000166281,0.9855772,0.00003499581,0.0001499882,0.0001055284,0.00007468402,0.000005713533,0.01227268,0.0002181824,0.00004647487,0.001136832],"study_design_scores_gemma":[0.001816797,0.0002897973,0.9908208,0.00004119984,0.00004834534,0.00008309899,0.00004294112,0.0000504244,0.005064616,0.00001977541,0.001545648,0.0001765508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981568,0.0003784505,0.0003408104,0.0001030124,0.0003636679,0.0002216209,0.0002091259,0.0001200089,0.0001064574],"genre_scores_gemma":[0.99595,0.0002601753,0.001167519,0.00007826577,0.00004163384,0.000003461388,0.0009224708,0.00004685626,0.001529624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007208061,"threshold_uncertainty_score":0.5077959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063903710065383,"score_gpt":0.3025967111423246,"score_spread":0.2819576740416708,"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."}}