{"id":"W4379879292","doi":"10.1182/bloodadvances.2023010722","title":"CNL and aCML are prognostically distinct: a large National Cancer Database analysis","year":2023,"lang":"en","type":"letter","venue":"Blood Advances","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sierra Oncology; MorphoSys; Astellas Pharma; Galecto; Incyte; Bristol-Myers Squibb; Constellation Pharmaceuticals; CTI Biopharma; Gilead Sciences; Karyopharm Therapeutics; Celgene","keywords":"Oncology; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007623649,0.0002757667,0.0005379234,0.0002814443,0.0001471925,0.00004543135,0.0000887339,0.0001674969,0.0002290315],"category_scores_gemma":[0.0002771354,0.0002114295,0.0001473861,0.0005010997,0.00008195918,0.0001275101,0.00007076083,0.0004336253,0.00002653586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007430983,"about_ca_system_score_gemma":0.000292726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008005656,"about_ca_topic_score_gemma":0.0008311166,"domain_scores_codex":[0.998197,0.00002679531,0.0002629912,0.0005864477,0.0005894898,0.0003373036],"domain_scores_gemma":[0.9989474,0.0002554784,0.0001924726,0.0002469903,0.0002553226,0.0001023123],"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":[0.00004811585,0.0004796878,0.3050797,0.001500871,0.01132009,0.00233621,0.0001663274,0.00001042546,0.00001182695,0.0001245185,0.676855,0.002067221],"study_design_scores_gemma":[0.001616681,0.00008405235,0.06077284,0.0004774639,0.01724303,0.00002296288,0.00004680537,0.00005922584,0.00001461668,0.0001973036,0.919173,0.0002920008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005227699,0.03944387,0.0004775994,0.8985239,0.0009772162,0.00239588,0.04606457,0.0005883239,0.006300949],"genre_scores_gemma":[0.04623806,0.01329664,0.00886632,0.7540694,0.02036144,0.005129538,0.07846024,0.0004519051,0.07312645],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2443068,"threshold_uncertainty_score":0.8621846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02160825577376911,"score_gpt":0.3620123949419686,"score_spread":0.3404041391681994,"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."}}