{"id":"W2790083589","doi":"10.1101/286054","title":"Metabolic adaptations underlie epigenetic vulnerabilities in chemoresistant breast cancer","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; McGill University Health Centre; Structural Genomics Consortium; University Health Network; University of Toronto; Princess Margaret Cancer Centre","funders":"Canadian Institutes of Health Research; Genome Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Government of Ontario; Ontario Institute for Cancer Research; Novartis Pharma; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Ontario Ministry of Research, Innovation and Science; Ontario Genomics; Terry Fox Research Institute; Cancer Research Society; Princess Margaret Cancer Foundation; Pfizer","keywords":"Epigenome; Biology; Epigenetics; Taxane; Chromatin; Cancer research; Cell biology; DNA methylation; Cancer; Breast cancer; Genetics; DNA","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000801836,0.0001578999,0.0001711622,0.0001822158,0.0001038815,0.0002125742,0.0001067838,0.0001949763,0.001342499],"category_scores_gemma":[0.00008317055,0.0000932428,0.0001135991,0.0001055431,0.0001727419,0.0001201287,0.0002041998,0.0002900076,0.0001807556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002540186,"about_ca_system_score_gemma":0.0001177503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003489088,"about_ca_topic_score_gemma":0.0005762406,"domain_scores_codex":[0.999946,0.000006827812,0.000004266958,0.0000130024,0.00001833073,0.00001146335],"domain_scores_gemma":[0.9999598,0.000003523898,0.00001649706,0.000005275227,0.000005496071,0.000009396595],"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":[0.00008072449,0.000007385874,0.001033206,0.00002231513,0.000006332179,0.00007128254,0.00001337035,0.00008100815,0.9964507,0.0001934193,0.00005677636,0.001983493],"study_design_scores_gemma":[0.00002065398,0.0002055652,0.05579566,0.000007763657,0.0000283523,0.001272788,0.00007704573,0.001100484,0.9348418,0.0005142632,0.00612866,0.000007173077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936404,0.00189085,0.001782188,0.0002372886,0.00001790912,0.0000144326,0.0003090804,0.00008203417,0.002025868],"genre_scores_gemma":[0.9977204,0.0005371398,0.0003955698,0.00004301733,0.000006607663,0.000007916931,0.0001705508,0.000006741831,0.001111907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001342499,"threshold_uncertainty_score":0.00449115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583700337619525,"score_gpt":0.2474057032433052,"score_spread":0.2315686998671099,"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."}}