{"id":"W1982077008","doi":"10.5045/kjh.2012.47.1.1","title":"The premier statistical report of hematologic malignancies in Korea","year":2012,"lang":"en","type":"article","venue":"The Korean Journal of Hematology","topic":"Multiple and Secondary Primary Cancers","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Population; Hematologic malignancy; Hematologic Neoplasms; Disease; Statistics; Cancer; Environmental health; Pathology","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":[0.005306496,0.0007056641,0.0006953083,0.009238236,0.0003371638,0.001599689,0.0009750865,0.0004981945,0.01304299],"category_scores_gemma":[0.02203397,0.0004862802,0.001035911,0.01317964,0.000271107,0.001478025,0.001138056,0.001294292,0.01084813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462998,"about_ca_system_score_gemma":0.003695761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007472093,"about_ca_topic_score_gemma":0.006203479,"domain_scores_codex":[0.9955574,0.0006873591,0.001390908,0.0005802375,0.001388905,0.0003951785],"domain_scores_gemma":[0.9755104,0.002711233,0.006862747,0.002088362,0.01146092,0.001366275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003534541,0.00004954401,0.08190256,0.00166663,0.0003023905,0.0001475948,0.0001010691,0.0005164323,0.0003328438,0.001936749,0.8277722,0.08491862],"study_design_scores_gemma":[0.00007669764,0.0001396593,0.1908173,0.0006960634,0.0002287669,0.0005948822,0.0002591465,0.0005053228,0.0006798033,0.000437865,0.8054651,0.00009932316],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02214933,0.01467151,0.006548096,0.007089417,0.00645595,0.001292885,0.9109836,0.002761476,0.02804769],"genre_scores_gemma":[0.088524,0.01637122,0.008651992,0.004571296,0.003157458,0.002821207,0.8505851,0.001470016,0.02384781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01304299,"threshold_uncertainty_score":0.04363316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02527053222735736,"score_gpt":0.300460601014497,"score_spread":0.2751900687871396,"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."}}