{"id":"W4413798012","doi":"10.3324/haematol.2025.288379","title":"The age of fit-equity: ignoring age and fitness in treatment selection for chronic lymphocytic leukemia","year":2025,"lang":"en","type":"article","venue":"Haematologica","topic":"Chronic Lymphocytic Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre","funders":"","keywords":"Chronic lymphocytic leukemia; Selection (genetic algorithm); Leukemia; Equity (law); Medicine; Internal medicine; Oncology; Gerontology; Computer science; Political science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0257219,0.0004061334,0.001126358,0.0007102364,0.0008386325,0.001608139,0.001899751,0.001995272,0.01453767],"category_scores_gemma":[0.1510909,0.0002761369,0.002375013,0.001429546,0.0007381373,0.002091387,0.001362218,0.00263684,0.0009862577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001398823,"about_ca_system_score_gemma":0.002165064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01041374,"about_ca_topic_score_gemma":0.02340831,"domain_scores_codex":[0.9761345,0.01927756,0.001255943,0.001060868,0.00124454,0.001026608],"domain_scores_gemma":[0.917152,0.0683832,0.006018937,0.004093187,0.002001238,0.002351473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01570247,0.0005941223,0.5753798,0.001728311,0.004643042,0.0006171346,0.0006465613,0.006098229,0.0003254999,0.01446156,0.05301711,0.3267861],"study_design_scores_gemma":[0.004206591,0.007969893,0.7177904,0.006945937,0.01258304,0.001852364,0.002851637,0.06944841,0.001699825,0.08144749,0.0929011,0.0003033074],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7419365,0.03979126,0.0281116,0.1146153,0.007261366,0.001103582,0.01900016,0.0001941125,0.04798615],"genre_scores_gemma":[0.9855075,0.001347412,0.003466899,0.005725871,0.0009403655,0.000276915,0.0008314255,0.00002669368,0.001876959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0257219,"threshold_uncertainty_score":0.136032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05969522121262728,"score_gpt":0.3744194007160023,"score_spread":0.314724179503375,"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."}}