{"id":"W2149907692","doi":"10.1159/000226402","title":"Cytogenetic Studies in Secondary Leukemia: Statistical Analysis","year":2009,"lang":"en","type":"article","venue":"Oncology","topic":"DNA and Nucleic Acid Chemistry","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Leukemia; Statistical analysis; Medicine; Oncology; Biology; Computational biology; Internal medicine; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03255603,0.000730036,0.002668878,0.01056876,0.0009539651,0.001322068,0.001588713,0.001346119,0.009076168],"category_scores_gemma":[0.07618045,0.0003821028,0.00306376,0.005911997,0.002713667,0.001384166,0.002011797,0.002428501,0.0007699802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007247242,"about_ca_system_score_gemma":0.0008573139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008139791,"about_ca_topic_score_gemma":0.0004631467,"domain_scores_codex":[0.9500262,0.02928618,0.003497866,0.005222154,0.01050471,0.001462905],"domain_scores_gemma":[0.863263,0.1104962,0.007963527,0.01095606,0.004460029,0.002861108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01220874,0.0006823207,0.9171029,0.0008918197,0.006535999,0.001347275,0.0007132495,0.004744545,0.006182717,0.002419052,0.002578003,0.04459329],"study_design_scores_gemma":[0.0004990353,0.01124636,0.8899144,0.0001533114,0.002294955,0.00328962,0.002296397,0.07418224,0.003727224,0.003579229,0.008634727,0.0001823789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9238721,0.002789574,0.06241291,0.0003347241,0.0003354744,0.001951696,0.002506233,0.0006253624,0.005171995],"genre_scores_gemma":[0.9885774,0.0001991509,0.007959791,0.00007514963,0.0001613108,0.001302294,0.0007759272,0.0001003689,0.0008486193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03255603,"threshold_uncertainty_score":0.1721749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277298379757441,"score_gpt":0.3533308525622704,"score_spread":0.330557868764696,"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."}}