{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003880914,0.0001685039,0.0003056289,0.0001412735,0.00003823013,0.00006343296,0.000267956,0.00008060178,0.000005794585],"category_scores_gemma":[0.00004537452,0.0001171069,0.00004024232,0.000218236,0.00007446799,0.0004250082,0.00003420564,0.000009523496,0.000003243491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002557727,"about_ca_system_score_gemma":0.00003286193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007798544,"about_ca_topic_score_gemma":0.000008865853,"domain_scores_codex":[0.9987449,0.00001498566,0.0003402274,0.0003219639,0.0001813723,0.0003965729],"domain_scores_gemma":[0.999499,0.00007518724,0.0000956308,0.0001985353,0.0000608587,0.0000707784],"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":[0.00006630104,0.00008014814,0.0007027169,0.00001751351,0.00000618924,0.000009653006,0.00005066815,0.00000983628,0.9983653,0.0002873443,0.000002608947,0.000401724],"study_design_scores_gemma":[0.000673543,0.0001880504,0.01038925,0.00002167721,0.000009412012,0.0001811074,0.00003270122,0.0008769872,0.9874185,0.000009115096,0.00003758979,0.0001620899],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986929,0.00003136722,0.01200043,0.000007588828,0.0003880505,0.0003801525,0.0001293524,0.0001218058,0.00001223042],"genre_scores_gemma":[0.9893277,0.00001611207,0.01049706,0.000002928693,0.00002209407,0.00003646596,0.00005013762,0.00001656798,0.00003094084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01094682,"threshold_uncertainty_score":0.4775482,"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."}}