{"id":"W3028851061","doi":"10.1093/nar/gkaa437","title":"CReSCENT: CanceR Single Cell ExpressioN Toolkit","year":2020,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children’s Health Research Institute; Ontario Institute for Cancer Research; Western University; Hospital for Sick Children; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Ontario Genomics Institute; Leukemia and Lymphoma Society; Genome Canada; Ontario Genomics; Princess Margaret Cancer Foundation; Government of Canada; Ontario Institute for Cancer Research","keywords":"Biology; Computational biology; Cancer; Expression (computer science); Genetics; Evolutionary biology; Programming language; Computer science","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":[0.001805347,0.001207941,0.002027538,0.001207503,0.000928745,0.002442985,0.004581108,0.001237303,0.03604308],"category_scores_gemma":[0.00299635,0.001603246,0.001552095,0.00161676,0.0003738154,0.001333418,0.002310104,0.002750439,0.04403573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207833,"about_ca_system_score_gemma":0.002850468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008526515,"about_ca_topic_score_gemma":0.01563203,"domain_scores_codex":[0.9989497,0.0001481805,0.00008548951,0.0001923331,0.0004830593,0.0001413356],"domain_scores_gemma":[0.9992331,0.0002062326,0.00006007947,0.0001911056,0.0001991583,0.000110372],"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":[0.00078347,0.00005323014,0.001789369,0.002503272,0.0002846235,0.0003610761,0.0003036222,0.006490223,0.04620898,0.01045651,0.8889965,0.04176909],"study_design_scores_gemma":[0.0004474957,0.00008993354,0.002623137,0.0002394066,0.0001380729,0.0005860646,0.00006572447,0.04614855,0.04571961,0.01237345,0.8913205,0.0002481608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.006191726,0.003621649,0.2983788,0.001060056,0.0005795647,0.0006322135,0.2574375,0.4104419,0.02165663],"genre_scores_gemma":[0.04195482,0.003288756,0.2732976,0.002014364,0.0001049191,0.004005467,0.5603631,0.08928335,0.02568767],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.03604308,"threshold_uncertainty_score":0.1205761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07408769249949063,"score_gpt":0.3192408678604278,"score_spread":0.2451531753609372,"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."}}