{"id":"W4283318495","doi":"10.1097/01.hs9.0000844896.35718.c4","title":"P502: CLINICAL IMPLEMENTATION OF GERMLINE GENETIC TESTING FOR HEMATOLOGIC DISORDERS","year":2022,"lang":"en","type":"article","venue":"HemaSphere","topic":"Chronic Lymphocytic Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Hospital for Sick Children; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Hematology; Genetic testing; Internal medicine; Germline; Cancer; Oncology; Germline mutation; Lynch syndrome; Population; Referral; Family medicine; Mutation; Genetics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005016398,0.000103543,0.0003322019,0.00003613767,0.0001182272,0.00000461548,0.0001265678,0.00004648121,0.001723178],"category_scores_gemma":[0.000480804,0.00009593348,0.0001310872,0.0003370121,0.00008274258,0.0000214724,0.000163164,0.000169248,0.000008285507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001268456,"about_ca_system_score_gemma":0.002804592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002949266,"about_ca_topic_score_gemma":0.00008463411,"domain_scores_codex":[0.9983696,0.0000800881,0.0005857381,0.0002869566,0.0003733565,0.0003043134],"domain_scores_gemma":[0.9986757,0.0006256757,0.0001710206,0.0003028711,0.0001318221,0.00009293541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.001509064,0.001770822,0.5183823,0.003799215,0.0005375306,0.0002175164,0.001074806,0.0007911284,0.005509862,0.001857598,0.02926532,0.4352849],"study_design_scores_gemma":[0.2947747,0.032473,0.2486222,0.000537961,0.001712042,0.004082627,0.04281722,0.2486694,0.02076077,0.01356639,0.08969488,0.002288862],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954761,0.0008113885,0.001053862,0.0004579285,0.000126179,0.001125894,0.0000291435,0.00005067355,0.0008687942],"genre_scores_gemma":[0.9778057,0.00002200525,0.02111301,0.0001756044,0.0001028387,0.0002822257,0.00005326137,0.00003011667,0.0004152613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.432996,"threshold_uncertainty_score":0.9991894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0748785243221959,"score_gpt":0.4288595605038129,"score_spread":0.353981036181617,"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."}}