{"id":"W4409758955","doi":"10.53876/001aa.129525","title":"Spot on CML: Expanding Access to Chronic Myeloid Leukemia Diagnostics in Low- and Middle-Income Countries","year":2025,"lang":"en","type":"article","venue":"International Journal of Cancer Care and Delivery","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Max Bell Foundation","funders":"","keywords":"Myeloid leukemia; Medicine; Low and middle income countries; Chronic myeloid leukaemia; Internal medicine; Developing country; Economics; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008391803,0.0001345954,0.0002678919,0.0004530544,0.00003424805,0.00009578263,0.0001673589,0.00006352497,0.00004770248],"category_scores_gemma":[0.0001023595,0.0001155791,0.0000552814,0.0001128284,0.00004640599,0.0002004935,0.0001147588,0.0002018511,0.000002215531],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004536415,"about_ca_system_score_gemma":0.001322198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004094165,"about_ca_topic_score_gemma":0.0006102719,"domain_scores_codex":[0.9989255,0.00001530181,0.0003504415,0.0001612713,0.0004009073,0.0001465833],"domain_scores_gemma":[0.9990439,0.0002357829,0.0001286806,0.00008127861,0.0004073185,0.0001030411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003642909,0.0000783213,0.9068774,0.001006157,0.0009477722,0.002068577,0.002036017,0.00165107,0.0003724172,0.0003612662,0.001704489,0.07925364],"study_design_scores_gemma":[0.01665417,0.001316356,0.9023451,0.04203974,0.0003790196,0.0003128635,0.001013229,0.0002616132,0.01996088,0.0002315415,0.01510196,0.0003835031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745455,0.02234617,0.00002840096,0.001305689,0.0008922932,0.0001517416,0.00003191609,0.00000629732,0.0006920407],"genre_scores_gemma":[0.9713242,0.02629622,0.0000679194,0.001738819,0.0004251975,0.00001256356,0.000004949759,0.000009906021,0.0001202448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07887013,"threshold_uncertainty_score":0.999285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564780581915147,"score_gpt":0.3300885698329976,"score_spread":0.3144407640138461,"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."}}