{"id":"W3155671189","doi":"10.2196/23990","title":"Development of the Czech Childhood Cancer Information System: Data Analysis and Interactive Visualization","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Czech; Medicine; Cancer registry; Epidemiology; Cancer; Population; Childhood cancer; Incidence (geometry); Environmental health; Pathology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008474879,0.001337057,0.001110022,0.006374035,0.0007768584,0.005384542,0.00241552,0.0006609538,0.03247061],"category_scores_gemma":[0.02399207,0.0009343307,0.001659459,0.004555685,0.0004582236,0.003161576,0.00452743,0.001543799,0.01517019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539888,"about_ca_system_score_gemma":0.005817601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01192886,"about_ca_topic_score_gemma":0.006509745,"domain_scores_codex":[0.9954396,0.001000968,0.0008764463,0.000753513,0.001632811,0.0002966481],"domain_scores_gemma":[0.9882813,0.003677747,0.0006681298,0.002361161,0.003955463,0.001056224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001339425,0.0003237141,0.02044078,0.002618327,0.0003883383,0.0008434055,0.00185266,0.01132788,0.01022572,0.01252433,0.5501222,0.3879932],"study_design_scores_gemma":[0.0008960149,0.000212401,0.03108241,0.0009181321,0.0002148867,0.0006466754,0.0006548834,0.08583012,0.02264485,0.01170551,0.8447118,0.000482414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01787074,0.0008077201,0.3757285,0.002657639,0.0006638224,0.004464397,0.2035365,0.3648799,0.02939094],"genre_scores_gemma":[0.1065273,0.001000948,0.629591,0.0007283597,0.00024827,0.006496029,0.2117119,0.03036596,0.01333025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03247061,"threshold_uncertainty_score":0.108625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03265052986148601,"score_gpt":0.3530735435474898,"score_spread":0.3204230136860038,"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."}}