{"id":"W4409165677","doi":"10.1590/pboci.2025.088","title":"Influence of Different Immersion Solutions and Polishing Protocols on the Roughness of Conventional and CAD/CAM Restorative Materials","year":2025,"lang":"en","type":"article","venue":"Pesquisa Brasileira em Odontopediatria e Clínica Integrada","topic":"Dental materials and restorations","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Polishing; CAD; Materials science; Immersion (mathematics); Surface finish; Surface roughness; Metallurgy; Engineering drawing; Composite material; Engineering; Mathematics; Geometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001020279,0.0008265408,0.000487328,0.0003766903,0.0002364228,0.0004386086,0.0002714029,0.0004153736,0.001357562],"category_scores_gemma":[0.002024976,0.0004250078,0.0005144469,0.0002900972,0.0004271967,0.0005566149,0.0004534071,0.0005603074,0.0002181742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000243904,"about_ca_system_score_gemma":0.000284259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005890294,"about_ca_topic_score_gemma":0.001160111,"domain_scores_codex":[0.9989846,0.0002510319,0.0001706739,0.0001835207,0.0003091991,0.0001009885],"domain_scores_gemma":[0.9987923,0.0005033736,0.0002648771,0.00009629706,0.0002747974,0.00006831142],"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":[0.002219871,0.0002941659,0.001408791,0.0004902786,0.0000485864,0.0000714875,0.0002302228,0.0002041802,0.9837571,0.00003577924,0.00005469106,0.01118499],"study_design_scores_gemma":[0.0001665189,0.01050934,0.03463791,0.00007866538,0.0003596894,0.0002913895,0.0004219075,0.001507885,0.9491319,0.0000995304,0.002739079,0.00005612693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928164,0.004276083,0.001811608,0.00002808352,0.00005801737,0.0001362031,0.00008015434,0.00002358388,0.0007698612],"genre_scores_gemma":[0.9877403,0.001928756,0.008752086,0.00006217432,0.00003714185,0.0002683569,0.0001670895,0.00003671956,0.001007419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001357562,"threshold_uncertainty_score":0.00539583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0279711523289173,"score_gpt":0.3071617076097186,"score_spread":0.2791905552808013,"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."}}