{"id":"W4307036673","doi":"10.1093/nar/gkac909","title":"The Chemical Probes Portal: an expert review-based public resource to empower chemical probe assessment, selection and use","year":2022,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"Cancer Prevention and Research Institute of Texas; Institute of Cancer Research; Wellcome Trust; Ontario Institute for Cancer Research; Janssen Biotech; Ontario Genomics Institute; Structural Genomics Consortium; Merck KGaA; Pfizer; Takeda Pharmaceuticals U.S.A.; Chordoma Foundation; Deutsches Krebsforschungszentrum","keywords":"Biology; Selection (genetic algorithm); Resource (disambiguation); Computational biology; Computer science; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.04677089,0.001666301,0.002722848,0.02014233,0.001839839,0.008277041,0.006131806,0.004907303,0.173292],"category_scores_gemma":[0.1078091,0.001703077,0.001961101,0.0144579,0.001357047,0.006346005,0.008948985,0.003504176,0.1049168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00363736,"about_ca_system_score_gemma":0.03134238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003089169,"about_ca_topic_score_gemma":0.008008565,"domain_scores_codex":[0.9702345,0.009398728,0.003579676,0.001774875,0.0138634,0.001148755],"domain_scores_gemma":[0.8478442,0.05541186,0.01334041,0.01383348,0.05954259,0.0100274],"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":[0.000163587,0.00006761639,0.0003173782,0.009167389,0.0001065963,0.0001832508,0.0002813693,0.0003168695,0.002815127,0.00508671,0.7694161,0.212078],"study_design_scores_gemma":[0.00004544479,0.00002057377,0.0001583807,0.001331845,0.00005867,0.00006224423,0.00005481511,0.0001269225,0.001094505,0.002623457,0.9943928,0.00003053092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002535868,0.06463715,0.1802378,0.0836987,0.01090793,0.01352066,0.2750938,0.07172453,0.2976436],"genre_scores_gemma":[0.02154203,0.07290836,0.4114835,0.03859043,0.008066918,0.02186022,0.2337552,0.02115477,0.1706386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.173292,"threshold_uncertainty_score":0.5797194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04640446147400395,"score_gpt":0.378704125134632,"score_spread":0.3322996636606281,"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."}}