{"id":"W2899001777","doi":"10.1186/s13104-018-3890-8","title":"Incidence of chronic myeloid leukemia in Calgary, Alberta, Canada","year":2018,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Incidence (geometry); Myeloid leukemia; Medicine; Gerontology; Immunology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004977005,0.0003484906,0.0002810042,0.002279799,0.001508607,0.001081784,0.001427361,0.0003249866,0.002846888],"category_scores_gemma":[0.001589781,0.0002366691,0.000360844,0.005182188,0.0004666198,0.0002188144,0.0006589549,0.0005442511,0.0003747027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03440928,"about_ca_system_score_gemma":0.04619733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962969,"about_ca_topic_score_gemma":0.9976957,"domain_scores_codex":[0.998785,0.00005169613,0.00006792659,0.0001229596,0.0007192533,0.0002531372],"domain_scores_gemma":[0.9985093,0.00004991391,0.0002492489,0.00002716579,0.0008489829,0.0003153523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007655954,0.00003153185,0.9609774,0.0002004253,0.00009526117,0.0002251805,0.0004497297,0.0004498942,0.0003308623,0.000445028,0.01277799,0.02394013],"study_design_scores_gemma":[0.0000123407,0.00002031932,0.9919905,0.0001220284,0.00003379241,0.0002234621,0.0007403017,0.0003142552,0.0001036803,0.00004784401,0.006379023,0.00001243548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8823451,0.01794648,0.000791102,0.004645173,0.0002207351,0.0002312058,0.06440149,0.0002252442,0.02919351],"genre_scores_gemma":[0.9688569,0.008209314,0.00108587,0.0006004742,0.00005653846,0.00004459493,0.01422619,0.00002429121,0.006895689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03440928,"threshold_uncertainty_score":0.249658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06340959391161845,"score_gpt":0.3653251082496032,"score_spread":0.3019155143379848,"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."}}