{"id":"W1573639394","doi":"10.1111/cid.12181","title":"Treatment of Circumferential Defects with Osseoconductive Xenografts of Different Porosities: A Histological, Histometric, Resonance Frequency Analysis, and Micro‐<scp>CT</scp> Study in Dogs","year":2013,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Alveolar crest; Resonance frequency analysis; Implant; Histology; Barrier membrane; Dentistry; Biomedical engineering; Osseointegration; Dental alveolus; Membrane; Chemistry; Medicine; Pathology; Surgery","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":[0.0008958051,0.0007326186,0.001045845,0.0006911512,0.0002874372,0.0003212245,0.0006985113,0.0007181403,0.0009755386],"category_scores_gemma":[0.000605886,0.0004934194,0.0008042012,0.0002789954,0.001074007,0.0006484943,0.0002953229,0.0007296939,0.0003212313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003782868,"about_ca_system_score_gemma":0.0003134613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008240062,"about_ca_topic_score_gemma":0.0009217576,"domain_scores_codex":[0.9994557,0.00008703999,0.00004997685,0.0001150546,0.0001259801,0.0001663461],"domain_scores_gemma":[0.9993134,0.0001611081,0.0002304727,0.0001010002,0.00005828552,0.0001357673],"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":[0.01956256,0.01950112,0.009022812,0.0004849409,0.0001987398,0.001688011,0.0003655046,0.001573501,0.9301158,0.0001716877,0.0002407856,0.01707464],"study_design_scores_gemma":[0.002610039,0.4381129,0.078169,0.0000817144,0.0005118404,0.008710162,0.0008688549,0.003877468,0.4645316,0.0001290956,0.002309039,0.00008813527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992854,0.0001909023,0.0003057719,0.00001284776,0.000006886873,0.0000478608,0.00005348309,0.00001256983,0.00008424428],"genre_scores_gemma":[0.9965973,0.0005453093,0.001786936,0.00003875573,0.0000193756,0.0001035515,0.0003449433,0.0000119453,0.0005518941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001045845,"threshold_uncertainty_score":0.004737496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08815786419999905,"score_gpt":0.4121094641066514,"score_spread":0.3239515999066523,"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."}}