{"id":"W2766231815","doi":"10.1534/g3.117.300271","title":"ARSDA: A New Approach for Storing, Transmitting and Analyzing Transcriptomic Data","year":2017,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Peking University","keywords":"Computer science; File format; Software; Throughput; Process (computing); Workflow; Reference genome; Uncompressed video; Operating system; Data mining; Database; DNA sequencing; Biology; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005308953,0.002427899,0.002160338,0.003706436,0.001534871,0.004695024,0.006289422,0.001670498,0.01313975],"category_scores_gemma":[0.007502928,0.002843179,0.003095867,0.00366721,0.00132696,0.004017076,0.004708538,0.005563983,0.01532681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009998669,"about_ca_system_score_gemma":0.001631046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001732019,"about_ca_topic_score_gemma":0.002170573,"domain_scores_codex":[0.9943494,0.0006902731,0.0008457806,0.001553306,0.002345311,0.0002158884],"domain_scores_gemma":[0.9932855,0.002179167,0.0004855425,0.002508577,0.001147618,0.0003935434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001808849,0.0004746864,0.004469738,0.001596112,0.0009370617,0.001069247,0.001166101,0.008538117,0.1996732,0.01302424,0.1464169,0.6208258],"study_design_scores_gemma":[0.0006316413,0.000445214,0.003641984,0.0003786918,0.0003672634,0.002144926,0.0003352309,0.1654165,0.3034005,0.0262784,0.4959955,0.000964113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002835374,0.0003779706,0.7949003,0.0003097794,0.0005715546,0.0002401082,0.00436959,0.1946293,0.001766051],"genre_scores_gemma":[0.01298683,0.0003446257,0.9625503,0.0003882247,0.0001621619,0.0007664892,0.007994075,0.01133697,0.003470354],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01313975,"threshold_uncertainty_score":0.04395688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07106256639307731,"score_gpt":0.2993402912540782,"score_spread":0.2282777248610009,"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."}}