{"id":"W4309944801","doi":"10.1002/pld3.460","title":"An open source plant kinase chemogenomics set","year":2022,"lang":"en","type":"article","venue":"Plant Direct","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Foundation for Food and Agriculture Research; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Pew Charitable Trusts","keywords":"Arabidopsis; Kinase; Biology; Protein-Serine-Threonine Kinases; Biochemistry; Oryza sativa; Kinome; Protein kinase A; Cell biology; Gene; Mutant","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":[0.001143142,0.00182321,0.001834238,0.001592003,0.0008177119,0.00175568,0.001836313,0.001335358,0.03418641],"category_scores_gemma":[0.001215812,0.0009658567,0.001247416,0.001309853,0.0004155659,0.001287056,0.002203876,0.001786472,0.03833737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008930328,"about_ca_system_score_gemma":0.001312448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001356855,"about_ca_topic_score_gemma":0.002446214,"domain_scores_codex":[0.9993654,0.0000503562,0.00003642259,0.000231929,0.0002177591,0.00009811111],"domain_scores_gemma":[0.9994817,0.00009925153,0.00007424485,0.0001391729,0.00008846846,0.0001171241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005602662,0.0005898295,0.006673196,0.003639596,0.0005950328,0.001090275,0.0003579936,0.003700022,0.5369108,0.005975511,0.3165636,0.1183015],"study_design_scores_gemma":[0.001145599,0.0008852388,0.01606673,0.0001564157,0.0003919237,0.00110641,0.0001165086,0.02455048,0.2093995,0.006402456,0.7395098,0.0002689811],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"software","genre_gemma":"dataset","genre_scores_codex":[0.03362779,0.002650664,0.1059712,0.0007914918,0.000505226,0.001370267,0.3779962,0.4318649,0.04522223],"genre_scores_gemma":[0.0670227,0.001667221,0.1397142,0.001502237,0.0001192082,0.002989026,0.7268277,0.02966079,0.03049689],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03418641,"threshold_uncertainty_score":0.1143649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01990338988709907,"score_gpt":0.2525176582648995,"score_spread":0.2326142683778004,"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."}}