{"id":"W4411410602","doi":"10.1371/journal.pone.0321761","title":"Machine learning driven dashboard for chronic myeloid leukemia prediction using protein sequences","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Princess Nourah Bint Abdulrahman University","keywords":"Support vector machine; Artificial intelligence; Computer science; Machine learning; Random forest; Dashboard; Decision tree; Data mining; Medicine; Database","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":[0.001211575,0.001829892,0.001039316,0.002222265,0.0003790162,0.001430125,0.001431594,0.001118346,0.01354341],"category_scores_gemma":[0.005812253,0.0003575907,0.0006349976,0.001339936,0.0001737816,0.001320099,0.0009082209,0.0009368284,0.007312962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004572974,"about_ca_system_score_gemma":0.0005137929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00303022,"about_ca_topic_score_gemma":0.003249892,"domain_scores_codex":[0.9993303,0.0001034041,0.00007715084,0.0002070437,0.0002354715,0.00004654764],"domain_scores_gemma":[0.9968046,0.001630813,0.0002821706,0.0003295786,0.0006790637,0.0002736676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004103031,0.001456579,0.02030569,0.0008227395,0.0002371487,0.001500701,0.0002513188,0.05908163,0.01887973,0.002212086,0.1483691,0.7427803],"study_design_scores_gemma":[0.0001289371,0.0005266992,0.009873294,0.0001049558,0.00004676095,0.0002589725,0.0001500116,0.9253293,0.02363129,0.005371389,0.03449675,0.00008173472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.1838112,0.0011598,0.3084963,0.001984698,0.0009984089,0.0007831752,0.06470234,0.4286099,0.00945422],"genre_scores_gemma":[0.5394596,0.001043755,0.3357258,0.000941786,0.0003062427,0.0012997,0.1017924,0.002502198,0.01692857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01354341,"threshold_uncertainty_score":0.04530728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01942231184426383,"score_gpt":0.2502078489115112,"score_spread":0.2307855370672473,"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."}}