{"id":"W2098657179","doi":"10.1177/1087057110394181","title":"A High-Content Screening (HCS) Assay for the Identification of Chemical Inducers of PML Oncogenic Domains (PODs)","year":2011,"lang":"en","type":"article","venue":"SLAS DISCOVERY","topic":"Retinoids in leukemia and cellular processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Allergy and Infectious Diseases; National Cancer Institute; National Institutes of Health; U.S. Department of Defense","keywords":"High-content screening; Inducer; Identification (biology); Chemistry; Computational biology; Cancer research; Biochemistry; Cell biology; Biology; Botany; Cell; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0003730151,0.0001148845,0.0001544214,0.00002435087,0.00004635641,0.00001645955,0.0003063596,0.0001304609,0.000007406119],"category_scores_gemma":[0.0002146033,0.00008453315,0.0001790631,0.00007201844,0.0002237583,0.00001199577,0.00008610232,0.00006653408,9.224797e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001320094,"about_ca_system_score_gemma":0.0001167212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006421256,"about_ca_topic_score_gemma":0.000004794279,"domain_scores_codex":[0.9990545,0.00003571156,0.0003786621,0.000237083,0.0001396378,0.0001543974],"domain_scores_gemma":[0.9991574,0.00004648583,0.0002880291,0.0003677796,0.0001139839,0.00002630272],"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":[0.0001910487,0.00006391296,0.0008486737,0.00006161608,0.0001399269,2.796896e-7,0.0001404372,0.00001266274,0.9955865,0.001355681,0.0001330839,0.001466137],"study_design_scores_gemma":[0.0004643126,0.0001145164,0.0009130272,0.00002073359,0.00008464089,0.000002986744,0.0003839539,0.00004084107,0.9971272,0.0004467925,0.0002984614,0.0001025446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9351012,0.0006594724,0.06362445,0.00002177256,0.0001494821,0.0002272352,0.00004773648,0.00000421965,0.0001644793],"genre_scores_gemma":[0.9981135,0.00009116397,0.001200984,0.00003627684,0.0001165629,0.0000527553,0.00008369669,0.00001803989,0.0002870944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06301227,"threshold_uncertainty_score":0.3447162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03362138102360207,"score_gpt":0.249642490822663,"score_spread":0.2160211097990609,"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."}}