{"id":"W3217246491","doi":"10.1093/nargab/lqab105","title":"RNA-Scoop: interactive visualization of transcripts in single-cell transcriptomes","year":2021,"lang":"en","type":"article","venue":"NAR Genomics and Bioinformatics","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Human Genome Research Institute; National Institutes of Health; Genome British Columbia; Canada's Michael Smith Genome Sciences Centre; Genome Canada","keywords":"Transcriptome; RNA; Computational biology; Visualization; Biology; Cell; Single-cell analysis; Computer science; Genetics; Gene expression; Gene; Data mining","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":[0.001112688,0.001235352,0.0007973045,0.001801823,0.0009192143,0.001564573,0.001568837,0.0009279342,0.0194229],"category_scores_gemma":[0.002131416,0.0005347704,0.001026539,0.001361473,0.0004982039,0.001498893,0.00221046,0.002062299,0.002606861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005335886,"about_ca_system_score_gemma":0.0009946839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003045668,"about_ca_topic_score_gemma":0.004678515,"domain_scores_codex":[0.9995909,0.00006379012,0.00003302083,0.0000922114,0.0001580724,0.00006189848],"domain_scores_gemma":[0.9988239,0.0006699109,0.00006866314,0.0001177075,0.0001683188,0.0001513618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002327893,0.000260565,0.007996872,0.003325416,0.0005516602,0.002033794,0.002986112,0.02205985,0.3037578,0.01585978,0.3843224,0.2545178],"study_design_scores_gemma":[0.0006768632,0.0002170823,0.01589712,0.0006213018,0.0001706282,0.002013463,0.00114471,0.4010266,0.2247116,0.06676086,0.2861866,0.0005732107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02794247,0.0006908601,0.5363787,0.0009405218,0.0004456374,0.0002035868,0.0400125,0.3870187,0.006367055],"genre_scores_gemma":[0.2622591,0.001444174,0.631652,0.001115423,0.0002667517,0.001740191,0.04744452,0.04704072,0.007037144],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0194229,"threshold_uncertainty_score":0.06497604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306987496882045,"score_gpt":0.228204744840605,"score_spread":0.2151348698717845,"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."}}