{"id":"W4280614566","doi":"10.1097/01.cot.0000832032.91182.b2","title":"A Look at Germline Predisposition to Hematologic Malignancies","year":2022,"lang":"en","type":"article","venue":"Oncology Times","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hematologist; Hematology; Germline; Medicine; Genetic predisposition; Internal medicine; Genetics; Disease; Biology","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":[0.002244854,0.0003240013,0.0003469745,0.00187582,0.002101698,0.002396052,0.0006241127,0.003376877,0.01040323],"category_scores_gemma":[0.005579401,0.0002880045,0.0005283899,0.001207124,0.002964546,0.004893804,0.002238451,0.006854134,0.001151545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002413636,"about_ca_system_score_gemma":0.002318115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007895987,"about_ca_topic_score_gemma":0.01671665,"domain_scores_codex":[0.9988565,0.0004913707,0.00005042011,0.0001244555,0.0002722854,0.0002049327],"domain_scores_gemma":[0.9960107,0.0021089,0.0003037181,0.00009077154,0.0005804392,0.0009054904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004708593,0.00009255069,0.0104305,0.0007459163,0.00003857373,0.003087697,0.02173428,0.00009626585,0.0007780305,0.02491463,0.7932795,0.1447551],"study_design_scores_gemma":[0.000008626587,0.00008996917,0.008839636,0.002703341,0.00002971625,0.007322723,0.0171725,0.0000429815,0.0001367485,0.01091019,0.9527103,0.00003325239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.01454705,0.2708407,0.001124434,0.6453373,0.02489491,0.00001925571,0.000228674,0.0001211695,0.04288649],"genre_scores_gemma":[0.1287781,0.2796325,0.001729995,0.5272392,0.03798783,0.00005979474,0.0003188963,0.0001811136,0.02407255],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01040323,"threshold_uncertainty_score":0.0348022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007065111168085586,"score_gpt":0.2495754130493755,"score_spread":0.2425103018812899,"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."}}