{"id":"W2899284980","doi":"10.1111/cid.12686","title":"A nomogram prediction of peri‐implantitis in treated severe periodontitis patients: A 1–5‐year prospective cohort study","year":2018,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nomogram; Medicine; Peri-implantitis; Periodontitis; Logistic regression; Implant; Dentistry; Prospective cohort study; Stepwise regression; Incidence (geometry); Surgery; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002196732,0.0004995572,0.0004305643,0.0008505746,0.0005997353,0.001038786,0.0004356522,0.0006038083,0.001165389],"category_scores_gemma":[0.004639648,0.0004012109,0.0009524262,0.0007032178,0.0002865679,0.0006555083,0.000512224,0.0007617478,0.0002105927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002688827,"about_ca_system_score_gemma":0.0003882013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002545538,"about_ca_topic_score_gemma":0.001932299,"domain_scores_codex":[0.9993517,0.0002494725,0.00005386338,0.0001489143,0.0001180211,0.00007800137],"domain_scores_gemma":[0.9971481,0.0007887739,0.00099453,0.0004018774,0.0003183329,0.0003483509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002867689,0.00005152282,0.9983077,0.000006046278,0.00007605791,0.00004448171,0.00004205435,0.00009602195,0.0000695847,0.00001526627,0.00006011342,0.0009444771],"study_design_scores_gemma":[0.00003483152,0.0004706666,0.995943,0.00001122178,0.0001080244,0.0002794405,0.0002027393,0.002580309,0.00007075505,0.00005568366,0.0002299622,0.00001332455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992751,0.0001149619,0.0003079014,0.00001729192,0.000006700895,0.00001089413,0.0001674154,0.000002654266,0.00009703777],"genre_scores_gemma":[0.9993967,0.00006189206,0.0001645823,0.000007284058,0.000007059002,0.00001306046,0.0002606247,0.000001582046,0.00008718171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002545538,"threshold_uncertainty_score":0.01161754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05811524136525264,"score_gpt":0.4179157370846039,"score_spread":0.3598004957193513,"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."}}