{"id":"W4220811291","doi":"10.3390/cancers14061592","title":"Targeting an MDM2/MYC Axis to Overcome Drug Resistance in Multiple Myeloma","year":2022,"lang":"en","type":"article","venue":"Cancers","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Mdm2; Bortezomib; Chromatin immunoprecipitation; Cancer research; Transfection; Molecular biology; Oncogene; Biology; Cell culture; Viability assay; XIAP; Cell cycle; Apoptosis; Chemistry; Multiple myeloma; Gene expression; Gene; Programmed cell death; Immunology; Genetics; Caspase; Promoter","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":[0.0002913071,0.0001484323,0.0002572938,0.0002065916,0.0002331435,0.00001658636,0.0001745336,0.00002389606,0.0007200718],"category_scores_gemma":[0.00022792,0.0001493399,0.00005587454,0.0005374042,0.00003932066,0.00009691293,0.0001253143,0.0002911758,0.00004113432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003718642,"about_ca_system_score_gemma":0.0005138525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002896967,"about_ca_topic_score_gemma":0.002999088,"domain_scores_codex":[0.9981996,0.0001145052,0.0002235997,0.0004304594,0.0005042852,0.0005275203],"domain_scores_gemma":[0.9990908,0.00008535256,0.00004310475,0.0003541476,0.00004667948,0.0003799098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008647837,0.0004448455,0.869528,0.0003071971,0.0002193139,0.002814374,0.01408087,0.007649234,0.02689278,0.0002045023,0.05081417,0.01839686],"study_design_scores_gemma":[0.01749671,0.001079158,0.6589391,0.0002629084,0.0000474042,0.00002754305,0.007336662,0.01017736,0.005422826,0.0002383591,0.2980636,0.0009083595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950128,0.0009486655,0.00002147183,0.0009381863,0.0001865623,0.0007498959,0.00008749823,0.00006366282,0.001991284],"genre_scores_gemma":[0.991723,0.00003183895,0.002368278,0.0006459241,0.00009834115,0.0004482546,0.0001076155,0.00003412083,0.004542632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2472495,"threshold_uncertainty_score":0.972412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02718241795215181,"score_gpt":0.3077250464057237,"score_spread":0.2805426284535719,"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."}}