{"id":"W4225015021","doi":"10.1212/wnl.0000000000200366","title":"Cancer Screening in Patients With Multiple Sclerosis","year":2022,"lang":"en","type":"article","venue":"Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Colorectal cancer; Multiple sclerosis; Breast cancer; Cancer; Incidence (geometry); Context (archaeology); Hazard ratio; Population; Epidemiology of cancer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002508883,0.0001033041,0.0002838506,0.0008895603,0.000620093,0.0004786562,0.0001752217,0.0005513755,0.002859931],"category_scores_gemma":[0.002399915,0.0001297377,0.0002819031,0.001452628,0.0002366811,0.0004030266,0.0002660291,0.0006157071,0.0002110301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005360513,"about_ca_system_score_gemma":0.0005778901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01526866,"about_ca_topic_score_gemma":0.01808572,"domain_scores_codex":[0.9997146,0.00006708347,0.00002992843,0.00004774529,0.00007528256,0.00006536346],"domain_scores_gemma":[0.9992577,0.0001722669,0.0002744955,0.00002871375,0.00009823498,0.0001684878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007637368,0.00004130839,0.9941761,0.00002775862,0.00002028878,0.0003542779,0.0000932774,0.00001518327,0.0001068902,0.00002752265,0.0004020996,0.004658781],"study_design_scores_gemma":[0.000009450683,0.0001015169,0.9971718,0.00003399481,0.00002803827,0.001597139,0.0002352977,0.00006867888,0.00003868174,0.00009076303,0.0006205356,0.000004148986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853975,0.005117779,0.00007224159,0.001292106,0.0000567378,0.00003119331,0.0005903085,0.0000140303,0.007428135],"genre_scores_gemma":[0.9977463,0.001231938,0.00006241968,0.0003457007,0.00006039154,0.00001143764,0.0002053881,0.000001208834,0.000335189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01526866,"threshold_uncertainty_score":0.03035957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05981614959247015,"score_gpt":0.2878749324816538,"score_spread":0.2280587828891837,"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."}}