{"id":"W2984772099","doi":"10.1111/cid.12865","title":"Influence of bio‐aging on corrosion behavior of different implant materials","year":2019,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Streptococcus sanguinis; Biofilm; Titanium; Contact angle; Corrosion; Adhesion; Saliva; Materials science; Surface roughness; Dentistry; Implant; Metallurgy; Chemistry; Composite material; Bacteria; Medicine; Biochemistry; Biology","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":[0.0003950233,0.0003948434,0.0002362764,0.0002063026,0.0001275839,0.0002612299,0.0001363032,0.0002478021,0.0006397185],"category_scores_gemma":[0.00047897,0.0001582258,0.0003202159,0.0001317012,0.0001755926,0.0002393174,0.0001601352,0.0002608392,0.0001050552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001852146,"about_ca_system_score_gemma":0.0001288899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005969617,"about_ca_topic_score_gemma":0.0007703181,"domain_scores_codex":[0.9997129,0.000062512,0.00003376144,0.00004323939,0.000101012,0.00004656781],"domain_scores_gemma":[0.9996029,0.00007702226,0.000125912,0.00002443369,0.0001360994,0.00003364959],"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":[0.0004097016,0.00004878643,0.00442098,0.000168581,0.00003087314,0.00007074965,0.00009046697,0.00008929506,0.9907185,0.000015974,0.00002572164,0.003910349],"study_design_scores_gemma":[0.00001420031,0.003298516,0.08334251,0.00002767931,0.0001331518,0.0003719658,0.0002327663,0.0008551555,0.9102308,0.00003743367,0.001438609,0.00001724377],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966072,0.002509329,0.00046686,0.00001740196,0.00001420172,0.00001466674,0.00007003058,0.00000948315,0.0002908303],"genre_scores_gemma":[0.997712,0.0008185915,0.0009955405,0.00002865709,0.000006298875,0.00001416355,0.0001362339,0.000005541503,0.0002829376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006397185,"threshold_uncertainty_score":0.002140045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0885391650399311,"score_gpt":0.4583618379107944,"score_spread":0.3698226728708633,"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."}}