{"id":"W1518687984","doi":"10.1002/cam4.472","title":"Demographic patterns of cutaneous T‐cell lymphoma incidence in Texas based on two different cancer registries","year":2015,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Cutaneous lymphoproliferative disorders research","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Cancer Institute; National Institutes of Health; Canadian Dermatology Foundation","keywords":"Mycosis fungoides; Incidence (geometry); Malignancy; Medicine; Population; Disease; Cutaneous T-cell lymphoma; Cancer registry; Demography; Cancer; Logistic regression; Lymphoma; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002831314,0.0003571899,0.0008828903,0.0005959717,0.00003832994,0.000008245316,0.0002729745,0.0001185342,0.0006190912],"category_scores_gemma":[0.0005280441,0.0002613459,0.00009088404,0.0007368632,0.0004847642,0.00004100146,0.00005873261,0.0002780266,0.000007795791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009334444,"about_ca_system_score_gemma":0.001229957,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01205692,"about_ca_topic_score_gemma":0.006398525,"domain_scores_codex":[0.9968684,0.0001445006,0.000588271,0.000548373,0.001309202,0.0005412546],"domain_scores_gemma":[0.9979054,0.0002987092,0.0002089688,0.0006239957,0.0004975217,0.000465357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002466982,0.0005328781,0.9790378,0.0004866024,0.00004679448,0.0008264115,0.0009463212,0.0005097741,0.00250137,0.00002953344,0.002369943,0.01024564],"study_design_scores_gemma":[0.1228895,0.01619359,0.6787262,0.02324897,0.0009256778,0.001540371,0.006439637,0.04625643,0.08823588,0.0008334242,0.01248426,0.00222602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849277,0.00587221,0.0001458143,0.005746032,0.0003139155,0.00084429,0.00005792349,0.00004405866,0.002048112],"genre_scores_gemma":[0.9947098,0.001655815,0.00002042811,0.001833572,0.0002884339,0.0001769531,0.00004012658,0.00005251962,0.001222372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3003115,"threshold_uncertainty_score":0.9999838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04285967885431222,"score_gpt":0.3518137454640474,"score_spread":0.3089540666097352,"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."}}