{"id":"W3033074986","doi":"10.1038/srep37381","title":"Correction: Corrigendum: Bioluminescence Microscopy as a Method to Measure Single Cell Androgen Receptor Activity Heterogeneous Responses to Antiandrogens","year":2016,"lang":"en","type":"erratum","venue":"Scientific Reports","topic":"bioluminescence and chemiluminescence research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Congressionally Directed Medical Research Programs; Fonds de Recherche du Québec - Santé; Movember Canada; Astellas Pharma; Prostate Cancer Canada; DOD Prostate Cancer Research Program; Movember Foundation; Canadian Urological Association; Université Laval","keywords":"Antiandrogens; Androgen receptor; Bioluminescence; Measure (data warehouse); Computer science; Bioinformatics; Computational biology; Data science; Information retrieval; Medicine; Chemistry; Biology; Internal medicine; Data mining; Biochemistry; Prostate cancer","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002069467,0.000888233,0.0008214774,0.0005218338,0.000697127,0.0005728564,0.0009855246,0.001252367,0.0002713762],"category_scores_gemma":[0.001108652,0.0007856559,0.0005087659,0.001280168,0.0004459001,0.00002960036,0.0007965093,0.0005495295,0.0005125109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002479081,"about_ca_system_score_gemma":0.002125912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001306637,"about_ca_topic_score_gemma":0.0001538582,"domain_scores_codex":[0.9922448,0.000375818,0.0008524543,0.003687232,0.001338636,0.001501107],"domain_scores_gemma":[0.9940924,0.00004113758,0.0005807226,0.002859472,0.001327703,0.001098581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002462805,0.0001507011,0.0003229938,0.00004899481,0.00003763464,0.0001520819,0.00003846499,4.841158e-7,0.5152242,3.459271e-8,0.4799889,0.003789153],"study_design_scores_gemma":[0.00008819228,0.0003796506,0.00001212738,0.0002636776,0.00002818753,0.0005912581,0.00002295132,0.000001729107,0.5268018,0.00000389782,0.4712484,0.0005581324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5759771,0.007456391,0.009662066,0.001918817,0.3841501,0.006413611,0.0008529,0.0003927091,0.01317633],"genre_scores_gemma":[0.09692424,0.0002551101,0.00247192,0.0003744902,0.003262972,0.0003269961,0.001133427,0.0002418691,0.895009],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8818327,"threshold_uncertainty_score":0.9994594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02593450655019517,"score_gpt":0.3101908235057077,"score_spread":0.2842563169555125,"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."}}