{"id":"W4211261516","doi":"10.1111/clr.13903","title":"Accuracy of bone‐level assessments following reconstructive surgical treatment of experimental peri‐implantitis","year":2022,"lang":"en","type":"article","venue":"Clinical Oral Implants Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vetenskapsrådet","keywords":"Peri-implantitis; Radiography; Medicine; Cone beam computed tomography; Dentistry; Implant; Orthodontics; Radiology; Computed tomography; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002059354,0.0002751993,0.00120105,0.0003323279,0.0003708955,0.00006084939,0.0006057456,0.0001791809,0.002363642],"category_scores_gemma":[0.0002862185,0.0002422588,0.0007825477,0.0004777396,0.0004162054,0.0003095102,0.0009140687,0.0006281786,0.00009301259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003167719,"about_ca_system_score_gemma":0.0002649561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001255097,"about_ca_topic_score_gemma":0.00006558327,"domain_scores_codex":[0.9941737,0.001321037,0.001609396,0.0006570613,0.001493182,0.0007456003],"domain_scores_gemma":[0.9953244,0.003221325,0.0004316742,0.0006151526,0.000134042,0.000273355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005051398,0.008662898,0.6440461,0.0001212953,0.001389023,0.03506645,0.0004706595,0.000002539354,0.01830433,0.002603812,0.0139345,0.270347],"study_design_scores_gemma":[0.03927546,0.03850394,0.4180718,0.0005265388,0.0004469227,0.08516519,0.0154581,0.0003751859,0.2393228,0.002576579,0.1576129,0.002664574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911488,0.0006397999,0.00001275287,0.00002900474,0.0020234,0.0007341363,0.002332614,0.00006024137,0.003019249],"genre_scores_gemma":[0.9963163,0.0002828038,0.0009066676,0.00001790315,0.0001062742,0.0001263498,0.0002395586,0.00004088381,0.001963226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2676824,"threshold_uncertainty_score":0.9985483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.443733119743106,"score_gpt":0.5934895983460483,"score_spread":0.1497564786029423,"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."}}