{"id":"W4389099077","doi":"10.1097/rlu.0000000000004913","title":"68Ga-FAPI-04 PET/CT in Assessment of Fibroblast Activation in Keloids","year":2023,"lang":"en","type":"article","venue":"Clinical Nuclear Medicine","topic":"Dermatologic Treatments and Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Nuclear medicine; Fibroblast; Fibroblast activation protein, alpha; PET-CT; Radiology; Positron emission tomography; Internal medicine; Cancer; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.001208095,0.0001296775,0.0006734859,0.0003667485,0.00002536673,0.000003600719,0.00012061,0.00003461329,0.0007824088],"category_scores_gemma":[0.001153418,0.0000844743,0.00008552198,0.0008043376,0.0003437188,0.00005173379,0.00009654949,0.0005412345,0.0001146429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008830659,"about_ca_system_score_gemma":0.0001065902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001351911,"about_ca_topic_score_gemma":0.00001426252,"domain_scores_codex":[0.9978606,0.000171164,0.0008884054,0.0003161406,0.0004608977,0.0003027648],"domain_scores_gemma":[0.9986298,0.0007099892,0.0001170635,0.0003189866,0.00006161062,0.0001625502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008197221,0.002836298,0.9042484,0.0006899415,0.0001739738,0.007568874,0.0003447804,0.00003533493,0.006013538,0.001823968,0.04679597,0.02864916],"study_design_scores_gemma":[0.006518517,0.001328916,0.9802087,0.001397979,0.00001736374,0.00008532393,0.0007890083,0.002359458,0.00003944281,0.0002280475,0.006949891,0.00007738493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694466,0.00001725773,0.000003033303,0.01846882,0.0001213635,0.0003996985,0.000001716699,0.00005773763,0.01148379],"genre_scores_gemma":[0.9977285,0.0003633571,0.0002618229,0.0006701116,0.0001077034,0.000009723004,0.00004029726,0.00002367684,0.0007948318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07596023,"threshold_uncertainty_score":0.8566827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1099830610419501,"score_gpt":0.4898138121126199,"score_spread":0.3798307510706698,"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."}}