{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001594126,0.0005417118,0.0008224937,0.001522036,0.0003090736,0.001558147,0.0003806685,0.0008860192,0.001905862],"category_scores_gemma":[0.003363624,0.0002087178,0.0006618469,0.0007008771,0.0002899114,0.000605449,0.0006846227,0.0008047792,0.000711043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002779803,"about_ca_system_score_gemma":0.0003518639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005888094,"about_ca_topic_score_gemma":0.00115462,"domain_scores_codex":[0.9993425,0.0002028624,0.00007804381,0.0001390509,0.0001106131,0.0001268747],"domain_scores_gemma":[0.9986908,0.000494904,0.0003931138,0.0001000811,0.0001970925,0.0001241045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002037543,0.0003951261,0.8640961,0.0001272274,0.0002146218,0.0001353877,0.0001304822,0.001969509,0.007908113,0.0002100153,0.001678642,0.1210972],"study_design_scores_gemma":[0.00009139826,0.0009266351,0.929783,0.00017291,0.0005094627,0.001050951,0.0006413085,0.05552634,0.004976427,0.002326003,0.003919379,0.0000762312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903319,0.002528709,0.004054248,0.0005345907,0.0001033599,0.00004605294,0.0006060249,0.00009693828,0.001698022],"genre_scores_gemma":[0.9965371,0.0004939162,0.001762128,0.0001409518,0.0000728733,0.00002448919,0.0005688131,0.00001132299,0.0003884125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001905862,"threshold_uncertainty_score":0.00843066,"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."}}