{"id":"W3149403225","doi":"10.4103/1735-3327.313124","title":"A new classification of peri implant gaps based on gap location (A case series of 210 immediate implants)","year":2021,"lang":"en","type":"article","venue":"Dental Research Journal","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Implant; Dentistry; Buccal administration; Medicine; Surgery","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":[0.001292336,0.001416772,0.0008743031,0.005243944,0.001437389,0.001953843,0.001237783,0.002002093,0.001700917],"category_scores_gemma":[0.003841856,0.0008975716,0.001191182,0.001665297,0.001478704,0.0017905,0.00231073,0.001132989,0.000748459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004579998,"about_ca_system_score_gemma":0.0006663021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005505731,"about_ca_topic_score_gemma":0.0006395582,"domain_scores_codex":[0.9983633,0.0001488014,0.0005444568,0.0003153223,0.0002475688,0.0003805243],"domain_scores_gemma":[0.9979528,0.0005159696,0.0005742081,0.0004187277,0.000213058,0.0003250867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007283486,0.0003947558,0.6805886,0.0004754585,0.0001122087,0.200224,0.002125843,0.0006536837,0.0079898,0.001175837,0.001284661,0.1042467],"study_design_scores_gemma":[0.00006117077,0.0006266313,0.1325424,0.0001968497,0.0001670791,0.8537833,0.001859052,0.001388179,0.003126482,0.001229826,0.004904793,0.0001142924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979321,0.006928942,0.009868606,0.0001442753,0.0001891298,0.0004176493,0.0001985946,0.00008702737,0.002844814],"genre_scores_gemma":[0.9926312,0.000887291,0.005485451,0.00007177553,0.0001056828,0.0001555433,0.0001866416,0.00001654442,0.0004599563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005243944,"threshold_uncertainty_score":0.006834567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117054537876118,"score_gpt":0.4176004605244111,"score_spread":0.3058950067367993,"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."}}