{"id":"W3136470136","doi":"10.1021/acschembio.1c00036","title":"The Promise and Peril of Chemical Probe Negative Controls","year":2021,"lang":"en","type":"letter","venue":"ACS Chemical Biology","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Wellcome Trust","keywords":"Phenotype; Chemical biology; Ligand (biochemistry); Chemical modification; Computational biology; Target protein; Gene; Loss function; Chemistry; Function (biology); Biology; Biophysics; Genetics; Biochemistry; Receptor","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":[0.008769864,0.0009431469,0.000827019,0.0007593789,0.0005822903,0.002824416,0.002186138,0.002095935,0.004192567],"category_scores_gemma":[0.01341645,0.0005182731,0.0007757121,0.0004027844,0.004187277,0.003968157,0.001801542,0.004390629,0.001128857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267436,"about_ca_system_score_gemma":0.0008479858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004675497,"about_ca_topic_score_gemma":0.0005136409,"domain_scores_codex":[0.9936614,0.001422034,0.0002174171,0.0009375949,0.0033771,0.000384494],"domain_scores_gemma":[0.9892001,0.005099315,0.001234555,0.001907263,0.002006514,0.0005521988],"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":[0.001243394,0.0004388816,0.003795195,0.001512984,0.0001822322,0.0008757319,0.0004639894,0.005833532,0.5413265,0.1932835,0.0123416,0.2387025],"study_design_scores_gemma":[0.0002076017,0.003914075,0.003112784,0.0003205355,0.0001669567,0.002518204,0.0003680794,0.01359736,0.5941074,0.07858519,0.3029073,0.0001945563],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.2570265,0.09640853,0.5006204,0.04086469,0.00666765,0.0009040798,0.001425619,0.005191736,0.09089072],"genre_scores_gemma":[0.75574,0.02998508,0.1666768,0.01781417,0.001302955,0.001030554,0.001428567,0.00125985,0.02476191],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.008769864,"threshold_uncertainty_score":0.04638004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00968408167549901,"score_gpt":0.23258081880757,"score_spread":0.2228967371320709,"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."}}