{"id":"W4404845831","doi":"10.1016/j.ijadhadh.2024.103895","title":"Preheated composite resins versus luting cement: Degree of conversion, film thickness, color stability and bond strength to enamel and ceramic veneers","year":2024,"lang":"en","type":"article","venue":"International Journal of Adhesion and Adhesives","topic":"Dental materials and restorations","field":"Dentistry","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Materials science; Enamel paint; Composite material; Ceramic; Adhesive; Composite number; Cement; Bond strength; Bonding strength; Luting agent; Layer (electronics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0002209299,0.0001131221,0.0001963494,0.0001677416,0.0000780776,0.0001799194,0.0001159649,0.0000601332,0.000091175],"category_scores_gemma":[0.0001217458,0.00009144446,0.00004996142,0.0000695197,0.0001132192,0.0002603106,0.0001162413,0.0001150363,0.000004393372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000505826,"about_ca_system_score_gemma":0.00005782041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003991529,"about_ca_topic_score_gemma":0.00002015949,"domain_scores_codex":[0.9989507,0.00006233008,0.0004133251,0.0001619959,0.0003172341,0.00009442727],"domain_scores_gemma":[0.9991503,0.0002614917,0.0001770552,0.00006081157,0.0002373046,0.0001130423],"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":[0.002749697,0.0001565176,0.01441822,0.0003295439,0.0004024237,0.0002692481,0.001818838,0.00002322134,0.9740478,0.001256487,0.001688122,0.00283982],"study_design_scores_gemma":[0.006072444,0.001871557,0.4282514,0.002664373,0.000285346,0.000836735,0.006712461,0.00166017,0.54289,0.0007012468,0.007523466,0.0005307765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962797,0.001333314,0.00003377465,0.0005673184,0.001386851,0.00009792788,0.000116682,0.00001152831,0.0001729047],"genre_scores_gemma":[0.9989256,0.0004535777,0.0003713318,0.0000412195,0.00009793073,0.000001152649,0.00001119229,0.000009353348,0.00008864353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4311579,"threshold_uncertainty_score":0.3728997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02944212551149794,"score_gpt":0.2999785364894668,"score_spread":0.2705364109779688,"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."}}