{"id":"W4394354970","doi":"10.6084/m9.figshare.21026443.v2","title":"RNA-Seq data and pseudotargeted lipidomic analysis (LC-MS data) in \"Retinoids inhibit ferroptosis through their radical-trapping properties and RAR-SCD-mediated monounsaturated fatty acids generation\".","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chemistry; Trapping; Lipidomics; RNA; Biochemistry; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001731317,0.001832956,0.001588754,0.002132607,0.0008315314,0.001783598,0.002089443,0.002348453,0.02719929],"category_scores_gemma":[0.004811312,0.0005307083,0.001833323,0.002761203,0.0004047031,0.0007452005,0.001703121,0.001528672,0.02215967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000995047,"about_ca_system_score_gemma":0.001669569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008666608,"about_ca_topic_score_gemma":0.01908834,"domain_scores_codex":[0.9989994,0.0001820968,0.0001026888,0.0003983192,0.0001716945,0.0001458281],"domain_scores_gemma":[0.9982681,0.0008609577,0.0001599803,0.0003133618,0.0002619662,0.0001357137],"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":[0.001080251,0.0001634754,0.01550562,0.01088656,0.001192879,0.0003630005,0.0002055707,0.003595591,0.008466036,0.002240197,0.9402781,0.01602269],"study_design_scores_gemma":[0.0009643144,0.0001358814,0.02999469,0.000889961,0.0006645456,0.0003416779,0.000170335,0.002280672,0.004196783,0.003407318,0.9568299,0.0001239227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008867198,0.0003008656,0.0001967884,0.00008416867,0.00003256794,0.00001522098,0.9977203,0.0003557501,0.0004075897],"genre_scores_gemma":[0.002199481,0.0001773375,0.001094025,0.0001106302,0.000007259904,0.0001524987,0.9956743,0.00008206955,0.0005024127],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02719929,"threshold_uncertainty_score":0.09099072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07124943328886843,"score_gpt":0.272017828722232,"score_spread":0.2007683954333636,"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."}}