{"id":"W2194109169","doi":"","title":"Reconstrução imediata de diferentes defeitos peri-implantares em implantes pós-exodônticos: análise histomorfométrica em cães","year":2013,"lang":"pt","type":"article","venue":"Americanae (AECID Library)","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peri; Physics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00163792,0.0003095628,0.0003177341,0.002084119,0.000266579,0.0006844152,0.0002534469,0.0003960097,0.001390563],"category_scores_gemma":[0.001060672,0.0003626105,0.0002815137,0.001016191,0.0005578758,0.0003446793,0.000332435,0.000188776,0.000346818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000178683,"about_ca_system_score_gemma":0.0001120858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000521474,"about_ca_topic_score_gemma":0.001031966,"domain_scores_codex":[0.9993094,0.0001067701,0.00008923483,0.00009966747,0.0003291149,0.00006571911],"domain_scores_gemma":[0.9983054,0.0004488676,0.0005561869,0.0000794326,0.000542297,0.00006767715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001805934,0.0003121984,0.3867225,0.0005983567,0.0001368676,0.000449975,0.001682278,0.0002412278,0.5670391,0.0001215979,0.00008197663,0.04080804],"study_design_scores_gemma":[0.00001639416,0.001980593,0.8612795,0.0000436005,0.0001640518,0.001470563,0.00210414,0.0007477743,0.1297659,0.00005719352,0.002347777,0.00002239171],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966676,0.001146703,0.001199902,0.000005989073,0.0000072995,0.00003533113,0.00008948308,0.00001338376,0.0008344441],"genre_scores_gemma":[0.9951695,0.0007745912,0.002557214,0.00001521368,0.00001362044,0.00005620707,0.0002066959,0.0000103405,0.001196663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002084119,"threshold_uncertainty_score":0.008662283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298861537909847,"score_gpt":0.2431961046481856,"score_spread":0.2302074892690871,"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."}}