{"id":"W2893407044","doi":"10.1111/cid.12676","title":"Titanium as a modifier of the peri‐implant microbiome structure","year":2018,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Dental and Craniofacial Research","keywords":"Titanium; Peri-implantitis; Peri; Microbiome; Dentistry; Implant; Materials science; Medicine; Metallurgy; Bioinformatics; Biology; 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":[0.0006913695,0.0003088152,0.0003386217,0.0006561658,0.0003052031,0.001155711,0.0002721637,0.0005843265,0.001928557],"category_scores_gemma":[0.001274001,0.0002164278,0.0004725829,0.0004832549,0.0005224295,0.0003066954,0.0006474631,0.0003514763,0.0002389328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000542693,"about_ca_system_score_gemma":0.0006596312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001430812,"about_ca_topic_score_gemma":0.001355047,"domain_scores_codex":[0.999494,0.00009890351,0.00003197146,0.00009179413,0.0001672572,0.0001161195],"domain_scores_gemma":[0.9993324,0.0001634148,0.0002746407,0.00004536892,0.0001082177,0.00007604969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003753605,0.000217282,0.2733549,0.0005533942,0.0002546785,0.0003177857,0.0004574569,0.0005283798,0.6907649,0.0002529766,0.0003010994,0.02924354],"study_design_scores_gemma":[0.00004436658,0.00210429,0.9390562,0.00007522148,0.0003354756,0.0009287749,0.0009481951,0.00186947,0.05130763,0.0003751513,0.002923734,0.00003148145],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996884,0.001471687,0.0006718245,0.0001149134,0.00002161133,0.00002250594,0.0001596687,0.00001455992,0.0006391588],"genre_scores_gemma":[0.9976761,0.0006105479,0.0009604502,0.00006953524,0.00001099974,0.00001813138,0.0001781435,0.000007562573,0.0004687092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001928557,"threshold_uncertainty_score":0.006451726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0960036644186075,"score_gpt":0.462960695144327,"score_spread":0.3669570307257195,"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."}}