{"id":"W3023613790","doi":"10.1111/cid.12905","title":"Histopathological analysis of biopsies of “peri‐implant inflammatory lesions.” Everything is not what it seems","year":2020,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Pyogenic granuloma; Peri-implantitis; Implant; Pathology; Biopsy; Lesion; Clinical pathology; Oral and maxillofacial pathology; Histopathology; Oral mucosa; Peri; Dentistry; Surgery; Internal medicine","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":[0.0009809788,0.0003300945,0.0002021761,0.002697406,0.000350296,0.0002624364,0.0002514566,0.000456412,0.001816166],"category_scores_gemma":[0.0006023159,0.0002183349,0.0002642568,0.001011202,0.0004229738,0.0002518539,0.0002271139,0.0002145127,0.0004063704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001960947,"about_ca_system_score_gemma":0.0002595613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006208834,"about_ca_topic_score_gemma":0.00154313,"domain_scores_codex":[0.999673,0.00005828116,0.00006112708,0.00005061672,0.0001083604,0.00004865631],"domain_scores_gemma":[0.9993539,0.0001457274,0.0001846949,0.00005778468,0.0001934825,0.00006437709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00184754,0.0002779257,0.5550877,0.001396449,0.0002429522,0.03169704,0.0008907442,0.0002317046,0.3672835,0.0002575175,0.0007891338,0.03999785],"study_design_scores_gemma":[0.00004543484,0.001188204,0.8716801,0.0001710941,0.0002275187,0.07365261,0.001393678,0.0003566458,0.04520869,0.0001127107,0.005938505,0.00002477894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860758,0.005184491,0.003423575,0.00008699713,0.00008237163,0.0003129456,0.000679072,0.00005234547,0.004102423],"genre_scores_gemma":[0.9834989,0.004160757,0.009016957,0.0001903798,0.00005848348,0.0001437535,0.001083844,0.00001673705,0.001830307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002697406,"threshold_uncertainty_score":0.006075621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2274416282076126,"score_gpt":0.4688302952454251,"score_spread":0.2413886670378125,"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."}}