{"id":"W4416228976","doi":"10.1002/jemt.70091","title":"Epigallocatechin‐Gallate Methacrylate as a Novel Addition to Pit and Fissure Sealants: An In Vitro Analysis of Physical Properties and Microscopy","year":2025,"lang":"en","type":"article","venue":"Microscopy Research and Technique","topic":"Dental materials and restorations","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sealant; Seal (emblem); Penetration (warfare); Methacrylate; Fissure; Enamel paint; Confocal laser scanning microscopy; Penetration depth","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":[0.0007173487,0.000166363,0.0004291656,0.0009135479,0.0001801216,0.0002248278,0.0001570924,0.0001497872,0.00001698564],"category_scores_gemma":[0.00008746468,0.0001390693,0.00003804627,0.001103421,0.0003210023,0.0001816755,0.0002637721,0.0002789899,0.000003473345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000440954,"about_ca_system_score_gemma":0.00006734526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002166777,"about_ca_topic_score_gemma":0.0007485329,"domain_scores_codex":[0.9985618,0.0001636017,0.0002855179,0.0004538001,0.0002099108,0.0003253841],"domain_scores_gemma":[0.9993212,0.00007197209,0.00004847956,0.0002727303,0.0001517219,0.0001338621],"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":[0.0004929345,0.0002490811,0.001451007,0.000170802,0.0001114566,0.00001341869,0.0002958779,0.000002240124,0.9962549,0.0002385497,0.0000945719,0.0006252159],"study_design_scores_gemma":[0.0003405941,0.0003414149,0.01357842,0.0002009766,0.0000536723,0.0000102003,0.0001587843,0.0002658447,0.9836511,0.0008156052,0.0004481871,0.0001351886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975675,0.0002969779,0.0005613461,0.0001880706,0.00002590768,0.0008167746,0.000380106,0.00004052861,0.0001228085],"genre_scores_gemma":[0.9967906,0.0001395824,0.002317867,0.00004384542,0.00001469855,0.0002068713,0.0000631567,0.00001543843,0.0004078664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01260373,"threshold_uncertainty_score":0.5671082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03899837457028538,"score_gpt":0.3919645145166822,"score_spread":0.3529661399463969,"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."}}