{"id":"W4407272116","doi":"10.1101/2025.02.05.636540","title":"Sex Differences in Cancer Functional Genomics: Gene Dependency and Drug Sensitivity","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; National Human Genome Research Institute; Jonsson Comprehensive Cancer Center; National Institutes of Health","keywords":"Functional genomics; Dependency (UML); Genomics; Drug; Computational biology; Cancer; Biology; Genetics; Gene; Bioinformatics; Medicine; Pharmacology; Genome; Computer science","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":[0.0008192312,0.0002344801,0.000372677,0.0004994362,0.0001550159,0.0005314081,0.0002064443,0.0002503789,0.003232799],"category_scores_gemma":[0.0009086204,0.0001443307,0.0004397652,0.0003898543,0.0004097609,0.0002638459,0.0003349919,0.0004992309,0.0003753371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002485192,"about_ca_system_score_gemma":0.0002178441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003704537,"about_ca_topic_score_gemma":0.0006061814,"domain_scores_codex":[0.9995043,0.0001317193,0.00003683291,0.0001218137,0.0001496738,0.00005570521],"domain_scores_gemma":[0.9991322,0.0003545071,0.0001881535,0.0001576261,0.00009327226,0.00007420954],"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":[0.0004255553,0.00004718239,0.0470155,0.000225619,0.0001190628,0.0003278552,0.0001278953,0.0007757688,0.9225664,0.001186363,0.00038459,0.02679829],"study_design_scores_gemma":[0.00001979842,0.0006962164,0.4181601,0.00002728259,0.0001688457,0.002894155,0.0001689849,0.002103387,0.5667686,0.001721576,0.007235402,0.00003567794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765952,0.006319576,0.009213612,0.0006447962,0.00003883778,0.00002769997,0.002833792,0.0001851874,0.004141289],"genre_scores_gemma":[0.9948266,0.001392589,0.001319539,0.0001949545,0.0000123331,0.00001750759,0.0008376915,0.00007892882,0.001319827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003232799,"threshold_uncertainty_score":0.01081485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181217830982702,"score_gpt":0.2167102064959798,"score_spread":0.2048980281861528,"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."}}