{"id":"W4285085760","doi":"10.1002/cam4.5009","title":"Global incidence, mortality and temporal trends of cancer in children: A joinpoint regression analysis","year":2022,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incidence (geometry); Demography; Confidence interval; Epidemiology; Medicine; Internal medicine","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":[0.007631151,0.000676146,0.001078135,0.002710896,0.0003725414,0.0009861554,0.001032751,0.0004442292,0.004265294],"category_scores_gemma":[0.009857477,0.0003862965,0.003794158,0.003825452,0.0003035869,0.0006099266,0.0009662239,0.001584238,0.0006431126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005129596,"about_ca_system_score_gemma":0.0006292387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009469392,"about_ca_topic_score_gemma":0.004969921,"domain_scores_codex":[0.9953529,0.002499079,0.000272583,0.0009941065,0.000550428,0.0003309657],"domain_scores_gemma":[0.9940839,0.003003733,0.001404507,0.0008824712,0.0004142968,0.0002111093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007304249,0.00008561292,0.9757147,0.0001288465,0.003698893,0.0001463319,0.0002415391,0.004709695,0.0002046277,0.0003739702,0.00193276,0.01203245],"study_design_scores_gemma":[0.00009125085,0.0005255916,0.9451452,0.0000566127,0.002021184,0.0004690926,0.0004924299,0.0451107,0.0003371113,0.0004992965,0.005211529,0.0000399424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974093,0.001149158,0.01285757,0.0002256447,0.00007279799,0.0002213105,0.01002697,0.0002099232,0.001143661],"genre_scores_gemma":[0.9815763,0.0003724025,0.007618181,0.00003239473,0.00006002441,0.0003631789,0.008735008,0.000111512,0.001131059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009469392,"threshold_uncertainty_score":0.04035789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651901277828657,"score_gpt":0.3835178730420515,"score_spread":0.356998860263765,"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."}}