{"id":"W2171225770","doi":"10.1016/j.dental.2014.10.006","title":"Can quaternary ammonium methacrylates inhibit matrix MMPs and cathepsins?","year":2014,"lang":"en","type":"article","venue":"Dental Materials","topic":"Dental materials and restorations","field":"Dentistry","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Dental and Craniofacial Research; King Abdulaziz University; Suomen Hammaslääkäriseura Apollonia; Academy of Finland","keywords":"Matrix metalloproteinase; Methacrylate; Materials science; Quaternary; Ammonium; Cathepsin; Matrix (chemical analysis); Composite material; Biology; Biochemistry; Polymer; Organic chemistry; Paleontology; Enzyme; Chemistry; Copolymer","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003600341,0.0002644086,0.0003951126,0.00009848222,0.000195682,0.0005406245,0.0002022273,0.0001538821,0.0007879735],"category_scores_gemma":[0.00004408274,0.0002273654,0.0000587036,0.00007897536,0.0001275986,0.0002204473,0.0002349687,0.00006447325,0.001092382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004629279,"about_ca_system_score_gemma":0.00001258587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001684396,"about_ca_topic_score_gemma":0.0004728805,"domain_scores_codex":[0.9983565,0.000207624,0.0004848158,0.0003721885,0.0002466498,0.0003322606],"domain_scores_gemma":[0.9992763,0.00004725295,0.000183917,0.0003093168,0.00003231021,0.0001509473],"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":[0.00008724472,0.00006642011,0.00639936,0.0000889548,0.00003282271,0.00007315122,0.0001426498,0.000001360237,0.9889916,0.00320078,0.000694456,0.0002212129],"study_design_scores_gemma":[0.0007729415,0.0001038321,0.04609957,0.00006977465,0.00004851684,0.0005622454,0.0001883288,0.0000137312,0.9459272,0.002137024,0.00367403,0.0004028217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994588,0.000140342,0.00001821945,0.0001509674,0.003658894,0.0002589974,0.0003761798,0.0001508223,0.0006575759],"genre_scores_gemma":[0.9972644,0.00004024829,0.0002773688,0.0001277223,0.000503946,0.00003864734,0.0001898885,0.00005457381,0.001503163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04306441,"threshold_uncertainty_score":0.9996854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034546295188586,"score_gpt":0.2674353919174144,"score_spread":0.2570899289655285,"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."}}