{"id":"W1570490998","doi":"10.1371/journal.pone.0130720","title":"De novo Transcriptome Assemblies of Rana (Lithobates) catesbeiana and Xenopus laevis Tadpole Livers for Comparative Genomics without Reference Genomes","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Canada's Michael Smith Genome Sciences Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Genome British Columbia","keywords":"Biology; Transcriptome; De novo transcriptome assembly; Xenopus; Lithobates; RNA-Seq; Bullfrog; Gene; Genetics; Model organism; Evolutionary biology; Computational biology; Genomics; Genome; Gene expression; Ecology","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":[0.0007718899,0.0008409262,0.0006386367,0.0008514155,0.0008955773,0.001188846,0.0006711454,0.0005371468,0.001593037],"category_scores_gemma":[0.001578855,0.0006895879,0.001232153,0.0007883891,0.0002369843,0.0008120713,0.0007730275,0.001246857,0.001222003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006033484,"about_ca_system_score_gemma":0.000807437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002945769,"about_ca_topic_score_gemma":0.009587463,"domain_scores_codex":[0.99955,0.00005551196,0.00003593225,0.0002176393,0.00009638206,0.00004440279],"domain_scores_gemma":[0.9992225,0.0001822886,0.0001317779,0.0001536329,0.0002537827,0.00005591739],"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":[0.0004120174,0.00006639373,0.007198475,0.00077108,0.0002544159,0.0005681295,0.000817916,0.007900611,0.9495883,0.002051563,0.002265678,0.02810545],"study_design_scores_gemma":[0.0001192459,0.0007284501,0.1675703,0.0004148275,0.0009416592,0.001485837,0.001763639,0.1354022,0.54084,0.006856443,0.1436621,0.0002153018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6656576,0.004259072,0.2884078,0.0005018357,0.0004815482,0.0002911497,0.02995367,0.005234227,0.005213045],"genre_scores_gemma":[0.4331961,0.002420241,0.4319402,0.0003786079,0.0001212322,0.0005978288,0.1208862,0.003387286,0.007072326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002945769,"threshold_uncertainty_score":0.005857289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.10758093301548,"score_gpt":0.2763952880962873,"score_spread":0.1688143550808074,"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."}}