{"id":"W2484738098","doi":"10.1021/acsbiomaterials.6b00265","title":"Electrochemical Treatment of Contaminated Titanium Surfaces in Vitro: An Approach for Implant Surface Decontamination","year":2016,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé; Canada Foundation for Innovation; Islamic Development Bank; Fondation de l’Ordre des dentistes du Québec; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; Biomet 3i","keywords":"Titanium; Human decontamination; Contamination; Biofilm; Materials science; Electrochemistry; Peri-implantitis; Implant; Bacteria; Chemistry; Metallurgy; Electrode; Waste management; Medicine; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006124863,0.0007139559,0.0007590207,0.0003002163,0.000272144,0.0006199867,0.0005461265,0.0008800493,0.0005195457],"category_scores_gemma":[0.0006133906,0.000358666,0.0005490083,0.0003646108,0.0002781609,0.0003585333,0.0005758928,0.0005469499,0.0002020967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002576898,"about_ca_system_score_gemma":0.0003419811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006117256,"about_ca_topic_score_gemma":0.001357603,"domain_scores_codex":[0.9993304,0.0001533032,0.00006576884,0.0001065719,0.0002519418,0.00009202934],"domain_scores_gemma":[0.9997113,0.0001052425,0.00004923217,0.00004032847,0.00007159168,0.00002228195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005044972,0.00003314394,0.0001523543,0.0001557208,0.00001095715,0.0000318507,0.00003200831,0.00005765656,0.9958306,0.00001893162,0.00001508949,0.003611333],"study_design_scores_gemma":[0.00000972047,0.0006790128,0.00229532,0.00001627146,0.0000472209,0.0001949636,0.00005714863,0.0007129222,0.994399,0.00004644578,0.001528612,0.00001342865],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271587,0.02560116,0.04437955,0.000414289,0.0002803541,0.0002384277,0.0002183408,0.0001025972,0.001606615],"genre_scores_gemma":[0.9286584,0.01261528,0.05622587,0.0002569208,0.00008752061,0.0002139072,0.000331681,0.00004393797,0.001566353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008800493,"threshold_uncertainty_score":0.003239155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703613311455248,"score_gpt":0.281121060780052,"score_spread":0.2640849276654995,"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."}}