{"id":"W3091917636","doi":"10.1093/jjco/hyaa189","title":"Age-specific corpus uteri cancer incidence rate in the world","year":2020,"lang":"en","type":"article","venue":"Japanese Journal of Clinical Oncology","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Corpus Uteri; Cancer; Incidence (geometry); Obstetrics; Gynecology; Cancer incidence; Oncology; Internal medicine; Cervix","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":[0.0005485938,0.0002239543,0.0003004404,0.003765875,0.0001465314,0.0004743786,0.0002651949,0.0001920987,0.002140944],"category_scores_gemma":[0.00199216,0.0001337277,0.0004912075,0.004525176,0.0001085406,0.0004700052,0.000279877,0.000370586,0.0005496825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004681814,"about_ca_system_score_gemma":0.0003701817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01452965,"about_ca_topic_score_gemma":0.01311691,"domain_scores_codex":[0.9995259,0.00007969735,0.0001194935,0.0001387754,0.00007954153,0.00005657762],"domain_scores_gemma":[0.9991659,0.00008219461,0.0003491907,0.00006053765,0.0002670432,0.00007513569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007582775,0.0000232545,0.9681931,0.000299133,0.0002460076,0.0002532702,0.00028753,0.000480942,0.0005564571,0.0007012128,0.008563652,0.02031964],"study_design_scores_gemma":[0.000007981078,0.00004450741,0.97843,0.00006819892,0.0001475379,0.0008493461,0.0002508679,0.000595213,0.0002880005,0.0001186435,0.01918253,0.00001713284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.855217,0.0112095,0.002736587,0.0005281452,0.0002781856,0.0001637837,0.1090213,0.0003626521,0.02048289],"genre_scores_gemma":[0.9159475,0.006405647,0.002837665,0.0002986037,0.0001323695,0.0002750806,0.07068305,0.00007423795,0.003345841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01452965,"threshold_uncertainty_score":0.02889013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.288066666590769,"score_gpt":0.5258858251614382,"score_spread":0.2378191585706692,"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."}}