{"id":"W3124264060","doi":"10.3390/proteomes9010003","title":"Proteomics-Based Regression Model for Assessing the Development of Chronic Lymphocytic Leukemia","year":2021,"lang":"en","type":"article","venue":"Proteomes","topic":"Chronic Lymphocytic Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Chronic lymphocytic leukemia; Medicine; Oncology; Internal medicine; Disease; Regression; Regression analysis; Leukemia; Statistics; Machine learning; Computer science","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":[0.002755516,0.001155655,0.00116181,0.0007386235,0.0003392798,0.001105947,0.00119668,0.0009364331,0.002070373],"category_scores_gemma":[0.004281486,0.0003953612,0.001102958,0.0005327569,0.0003963386,0.0005676551,0.0007805958,0.001459908,0.000565568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007804051,"about_ca_system_score_gemma":0.001021291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01231494,"about_ca_topic_score_gemma":0.00567673,"domain_scores_codex":[0.9991559,0.000307329,0.00004289789,0.000288859,0.00008771841,0.0001174084],"domain_scores_gemma":[0.9984498,0.001067256,0.0001703267,0.00005377414,0.0002107956,0.00004802828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003278215,0.0001545691,0.01667765,0.000106564,0.0002392721,0.0001232221,0.00007550723,0.938903,0.002346896,0.003428593,0.001066332,0.03655056],"study_design_scores_gemma":[0.0000062665,0.00002593071,0.0009190446,0.000003155415,0.00001782249,0.000007925489,0.000004745429,0.9982666,0.0001505016,0.0004575381,0.0001343332,0.000006177796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1964264,0.001116308,0.797716,0.0006031162,0.0001083927,0.0001755235,0.0009451646,0.001259935,0.00164919],"genre_scores_gemma":[0.9402097,0.00053079,0.05292109,0.0001196173,0.00008935014,0.0003854021,0.001279055,0.00008543512,0.004379617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01231494,"threshold_uncertainty_score":0.02448654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05631168032578947,"score_gpt":0.3681074432243905,"score_spread":0.311795762898601,"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."}}