{"id":"W2087992115","doi":"10.1016/j.chembiol.2011.06.001","title":"“Going KiNativ”: Probing the Native Kinome","year":2011,"lang":"en","type":"letter","venue":"Chemistry & Biology","topic":"Chronic Lymphocytic Leukemia Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Kinome; Biology; Kinase; Computational biology; Profiling (computer programming); Biochemistry; 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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0003325861,0.000442481,0.0006764905,0.00005274426,0.0002398474,0.00004406391,0.0006923601,0.001583175,0.001205101],"category_scores_gemma":[0.0005446154,0.0002834572,0.0002414565,0.0002060611,0.0009787598,0.00002562672,0.0004038415,0.003421017,0.0002550365],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00674064,"about_ca_system_score_gemma":0.005341444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001633935,"about_ca_topic_score_gemma":0.000001346657,"domain_scores_codex":[0.9975393,0.0001098332,0.0004022674,0.0007861916,0.0002789899,0.000883357],"domain_scores_gemma":[0.9979114,0.0005082748,0.0002493069,0.001003254,0.0002328987,0.00009488479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001001466,0.00004934669,0.00006350141,0.00188537,0.0005593592,0.001479039,0.0005107287,1.674129e-7,0.04866769,0.00004397378,0.9451401,0.001500556],"study_design_scores_gemma":[0.002590312,0.00008217066,0.00000819559,0.0002952642,0.0001211468,0.001125792,0.00003951262,0.00009142726,0.0551591,0.0003882573,0.9397846,0.0003141673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.06090456,0.006043834,0.00008377119,0.5575293,0.001107211,0.002539588,0.0001327781,0.0004505989,0.3712084],"genre_scores_gemma":[0.1711442,0.0004703695,0.000346847,0.5696025,0.02582245,0.0008759509,0.003264114,0.0003898375,0.2280836],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1431247,"threshold_uncertainty_score":0.9999617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04041498815992353,"score_gpt":0.3051539833706344,"score_spread":0.2647389952107109,"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."}}