{"id":"W3186350435","doi":"10.3390/ijerph18147595","title":"The Incidence and Predictors of Solid- and Hematological Malignancies in Patients with Giant Cell Arteritis: A Large Real-World Database Study","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Israel Cancer Association; Israel Cancer Research Fund","keywords":"Giant cell arteritis; Incidence (geometry); Medicine; Arteritis; Solid tumor; Database; Pathology; Internal medicine; Computer science; Disease; Vasculitis; Cancer","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":[0.001330827,0.0003111238,0.0006756732,0.001592107,0.0003903158,0.001017789,0.00069794,0.0006426387,0.0009631917],"category_scores_gemma":[0.004256994,0.00047295,0.0007283762,0.003518588,0.0003032312,0.0009052891,0.0008531074,0.0006061922,0.0002227504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00061349,"about_ca_system_score_gemma":0.0007048223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007867813,"about_ca_topic_score_gemma":0.01223302,"domain_scores_codex":[0.9982457,0.0005114693,0.0003277485,0.0004878331,0.0002564591,0.0001708653],"domain_scores_gemma":[0.9951708,0.0009850742,0.002447834,0.0005761853,0.0004138943,0.0004061111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005997738,0.0000218394,0.9992177,0.00001970011,0.00008997629,0.00004932674,0.00003304797,0.00002194588,0.00004568734,0.000008622946,0.00009916619,0.000332935],"study_design_scores_gemma":[0.00002379283,0.00004597643,0.9986424,0.00001829532,0.00008368688,0.0004110773,0.0002104847,0.0002938696,0.00003347084,0.00001601105,0.0002146933,0.00000629594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996595,0.0003983371,0.0001123618,0.00004625721,0.000004661224,0.00002136417,0.002680967,0.000003751094,0.0001373138],"genre_scores_gemma":[0.9963704,0.0002648762,0.0002109758,0.00004274433,0.00001194634,0.00003720331,0.00302323,0.000002477196,0.00003605731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007867813,"threshold_uncertainty_score":0.01564401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02784849673506568,"score_gpt":0.3421276846057147,"score_spread":0.3142791878706491,"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."}}