{"id":"W1914766264","doi":"10.1002/cncr.29301","title":"Identification of geographic clustering and regions spared by cutaneous T‐cell lymphoma in Texas using 2 distinct cancer registries","year":2015,"lang":"en","type":"article","venue":"Cancer","topic":"Cutaneous lymphoproliferative disorders research","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Cancer Institute; National Heart, Lung, and Blood Institute; National Institutes of Health; Canadian Dermatology Foundation","keywords":"Mycosis fungoides; Medicine; Population; Cancer; Confidence interval; Cancer registry; Incidence (geometry); Demography; Database; Lymphoma; Gerontology; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00184408,0.0002073245,0.0001991119,0.002811278,0.0004456874,0.0008228135,0.000529821,0.0002097119,0.0008907486],"category_scores_gemma":[0.004877789,0.0001708169,0.0003061961,0.003623849,0.0002756565,0.0004530844,0.001259107,0.0002466121,0.0001264499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001376632,"about_ca_system_score_gemma":0.001888711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05502184,"about_ca_topic_score_gemma":0.07795464,"domain_scores_codex":[0.9987715,0.0003713268,0.0001674213,0.0003120513,0.0001715889,0.0002061387],"domain_scores_gemma":[0.9926468,0.001008214,0.004585312,0.0003459063,0.0009368199,0.0004770041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002453235,0.000006442235,0.9985895,0.0000098954,0.00001579192,0.00003488227,0.0001534788,0.00006439726,0.00009028698,0.00003009711,0.0001320231,0.000848764],"study_design_scores_gemma":[0.000004613351,0.00001990188,0.9981253,0.00001678874,0.00002855071,0.0001668633,0.0008856693,0.0003411435,0.0000972319,0.00001244391,0.000297749,0.000003932859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978932,0.00008342989,0.0001853586,0.00007611796,0.000002963349,0.00002667475,0.001280078,0.000006875704,0.000445353],"genre_scores_gemma":[0.9974617,0.0001280963,0.0003353234,0.00003319823,0.000005584523,0.00003622782,0.001918236,0.000002399643,0.00007928367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05502184,"threshold_uncertainty_score":0.1094031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04851901330553127,"score_gpt":0.3389687867594625,"score_spread":0.2904497734539312,"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."}}