{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007539637,0.0002236403,0.0004274372,0.00009803079,0.000264124,0.00005472286,0.0002323548,0.0001473046,0.00008252388],"category_scores_gemma":[0.000614009,0.0001429492,0.0001653162,0.0002938718,0.0001686587,0.00009101072,0.0001497998,0.0002007554,0.00001566802],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.05669791,"about_ca_system_score_gemma":0.1960867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002358642,"about_ca_topic_score_gemma":0.00001537408,"domain_scores_codex":[0.997797,0.00006709814,0.0005578703,0.0004239196,0.0006491826,0.0005049298],"domain_scores_gemma":[0.9983022,0.0002425029,0.0002007774,0.0006648676,0.0004622545,0.0001273768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001001929,0.0003399477,0.0003896288,0.01198285,0.0004901676,0.0001207629,0.003556306,0.0325156,0.8736149,0.0005764044,0.00117814,0.07423338],"study_design_scores_gemma":[0.006715548,0.00004457255,0.00006318947,0.0006496767,0.00003626606,0.00002553109,0.00006160837,0.5347617,0.4570331,0.000199169,0.0003112833,0.0000983318],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7782592,0.001155635,0.2162924,0.0004510189,0.0000766924,0.003233647,0.000006555159,0.00007750701,0.0004473168],"genre_scores_gemma":[0.8200523,0.00001623455,0.1765927,0.0001194271,0.0001320364,0.001196607,0.00004003874,0.00005533825,0.001795369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5022461,"threshold_uncertainty_score":0.9469233,"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."}}