{"id":"W3042189475","doi":"10.1101/2020.07.13.201442","title":"Curation of over 10,000 transcriptomic studies to enable data reuse","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Genome British Columbia; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metadata; Computer science; Reuse; Gemma; Software; Database; Data curation; World Wide Web; Information retrieval; Data mining; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000385686,0.0005058991,0.0006443207,0.0001196372,0.00009027989,0.00007917474,0.002095153,0.0004845929,0.00003667256],"category_scores_gemma":[0.0007516443,0.0005448008,0.0001517393,0.0002629415,0.0001159445,0.00002416474,0.001622491,0.0003380314,0.00002099881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006646876,"about_ca_system_score_gemma":0.0004112339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008507029,"about_ca_topic_score_gemma":0.000021348,"domain_scores_codex":[0.9972255,0.0001159216,0.0006459603,0.00131672,0.0002990376,0.0003968464],"domain_scores_gemma":[0.9952099,0.00002018009,0.0002810124,0.003819677,0.0004360443,0.0002331651],"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":[0.0002051062,0.0001183273,0.0008446276,0.0005058253,0.0003908748,0.000007932493,0.00003290125,0.0001008716,0.9859678,0.00004602328,0.01177765,0.000002054385],"study_design_scores_gemma":[0.0006302756,0.0002215861,0.002622478,0.0002394104,0.0002102299,1.072228e-8,0.000007673232,0.0002612099,0.9526212,0.000006000036,0.0425182,0.0006616814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882902,0.004299903,0.002849513,0.0006751464,0.001268595,0.0007742317,0.001731362,0.0000967049,0.00001434418],"genre_scores_gemma":[0.9910286,0.001297622,0.006254653,0.0004614628,0.0007303556,0.00006593295,0.00001671958,0.0001237041,0.00002097156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03334656,"threshold_uncertainty_score":0.9997004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05566424018684152,"score_gpt":0.2753523796656945,"score_spread":0.219688139478853,"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."}}