{"id":"W2266902985","doi":"10.1186/1751-0473-8-14","title":"GenePattern flow cytometry suite","year":2013,"lang":"en","type":"article","venue":"Source Code for Biology and Medicine","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University; Terry Fox Research Institute; BC Cancer Agency","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute on Drug Abuse; Michael Smith Health Research BC; Terry Fox Foundation; Genome British Columbia; National Institute of General Medical Sciences; Terry Fox Research Institute; Western Canada Research Grid; Compute Canada; Genome Canada","keywords":"Bioconductor; Computer science; Suite; Leverage (statistics); Mass cytometry; Data mining; Artificial intelligence; Biology","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":[0.002442731,0.001733425,0.001831978,0.004168211,0.001504615,0.002161152,0.003648692,0.002144882,0.05466199],"category_scores_gemma":[0.001875858,0.001094904,0.000997083,0.002112562,0.0008078326,0.001512149,0.001688029,0.002969217,0.03942262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001370462,"about_ca_system_score_gemma":0.001417192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00118288,"about_ca_topic_score_gemma":0.001917588,"domain_scores_codex":[0.9954581,0.0006712593,0.0003331956,0.001330963,0.001867172,0.0003392759],"domain_scores_gemma":[0.9989748,0.0002475565,0.00007746912,0.0002447274,0.000337427,0.0001180815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00124671,0.0003040739,0.00227335,0.001575316,0.0001594514,0.0002937115,0.0002539474,0.002978167,0.5247018,0.01772894,0.271722,0.1767624],"study_design_scores_gemma":[0.0002840093,0.0002254357,0.003319244,0.0001579595,0.0001062517,0.001335083,0.00003397533,0.03374322,0.4091595,0.008209214,0.5432367,0.0001894985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02448664,0.004830947,0.7582331,0.002780555,0.0008896604,0.002238474,0.05213221,0.08836859,0.06603972],"genre_scores_gemma":[0.0676721,0.00347801,0.7460652,0.00340921,0.000479134,0.01233825,0.0803605,0.009533039,0.07666461],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05466199,"threshold_uncertainty_score":0.1828626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590894428039323,"score_gpt":0.274967714797955,"score_spread":0.2590587705175617,"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."}}