{"id":"W2908171531","doi":"10.3324/haematol.2018.209031","title":"Convergence of risk prediction models in follicular lymphoma","year":2019,"lang":"en","type":"letter","venue":"Haematologica","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Princess Margaret Cancer Centre; University Health Network","funders":"Princess Margaret Cancer Foundation","keywords":"Follicular lymphoma; Lymphoma; Internal medicine; Medicine; Oncology; Follicular phase","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01755647,0.0009881016,0.001537376,0.001404886,0.0007737826,0.003220808,0.001663561,0.002349448,0.004085964],"category_scores_gemma":[0.1122791,0.000620464,0.001017045,0.001074976,0.0008157091,0.002596837,0.002343711,0.005827143,0.001908401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002104186,"about_ca_system_score_gemma":0.001307203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01152935,"about_ca_topic_score_gemma":0.007400447,"domain_scores_codex":[0.9928957,0.005400517,0.0002459916,0.000574774,0.0006346602,0.0002484196],"domain_scores_gemma":[0.9351867,0.0569889,0.001384835,0.001923892,0.003630256,0.0008854342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003120027,0.0003965926,0.1682256,0.0002977693,0.001019932,0.001637644,0.0006711877,0.284662,0.0006431155,0.04673517,0.07154056,0.4210503],"study_design_scores_gemma":[0.0001492709,0.000194871,0.009036705,0.0001853965,0.00009118634,0.0006982461,0.0001687004,0.8722906,0.0003314277,0.1108348,0.00596373,0.00005501592],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3156442,0.02028831,0.4653718,0.1600927,0.003079877,0.0002712001,0.002481994,0.001955018,0.03081497],"genre_scores_gemma":[0.8954747,0.004596882,0.07915928,0.01044006,0.003554737,0.0002411702,0.001989132,0.0003484747,0.004195612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01755647,"threshold_uncertainty_score":0.0928486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458733229021958,"score_gpt":0.2415827421129412,"score_spread":0.2169954098227216,"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."}}