{"id":"W4229058777","doi":"10.1002/cap.10199","title":"Iatrogenic Peri‐Implantitis—Factors Interplaying the Implant Suprastructure Design","year":2022,"lang":"en","type":"article","venue":"Clinical Advances in Periodontics","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Implant; Peri-implantitis; Dentistry; Lead (geology); Intensive care medicine; Risk analysis (engineering); 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":[0.00189182,0.0006100223,0.0007630098,0.0008884558,0.000642804,0.002899701,0.0008081718,0.00147487,0.006372245],"category_scores_gemma":[0.006104629,0.0003584004,0.0005733502,0.0006150154,0.001370163,0.001850776,0.0007467595,0.001140183,0.001124025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007515813,"about_ca_system_score_gemma":0.001828335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006434139,"about_ca_topic_score_gemma":0.001131661,"domain_scores_codex":[0.9982565,0.0004897361,0.000198727,0.0001650307,0.0005829059,0.0003070714],"domain_scores_gemma":[0.993727,0.001915066,0.003202359,0.0001936046,0.0006741417,0.0002878618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001453852,0.001015125,0.632203,0.005164395,0.0004426916,0.01971615,0.001936541,0.001252932,0.03746262,0.007730784,0.0096609,0.2819609],"study_design_scores_gemma":[0.00006359469,0.001681968,0.7638966,0.003237874,0.0007634056,0.1259882,0.01560279,0.003595455,0.01416195,0.02012911,0.05066027,0.0002188326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.747812,0.1849374,0.01180487,0.03585785,0.001224617,0.0002909638,0.0002993777,0.0001518036,0.01762113],"genre_scores_gemma":[0.9561878,0.03571575,0.003303964,0.001939786,0.001013091,0.00005554129,0.00008382382,0.00002795976,0.001672288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006372245,"threshold_uncertainty_score":0.0213173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04569549024810184,"score_gpt":0.3781840021613021,"score_spread":0.3324885119132003,"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."}}