{"id":"W2004513576","doi":"10.1016/s1672-0229(10)60023-x","title":"Evolutionary Transients in the Rice Transcriptome","year":2010,"lang":"en","type":"article","venue":"Genomics Proteomics & Bioinformatics","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Beijing Municipal Science and Technology Commission; U.S. National Library of Medicine; National Natural Science Foundation of China; Chinese Academy of Sciences; National Science Foundation","keywords":"Transcriptome; Biology; Computational biology; Computer science; Genetics; Gene; Gene expression","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":[0.0003762019,0.0001095364,0.0002195314,0.0003807569,0.000382396,0.0005712531,0.0001783366,0.0003137142,0.00123029],"category_scores_gemma":[0.001120467,0.0001757052,0.0002285849,0.0005991066,0.0004190888,0.0006917284,0.0006789306,0.0006529046,0.000242961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004655446,"about_ca_system_score_gemma":0.000210384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004010885,"about_ca_topic_score_gemma":0.0004369763,"domain_scores_codex":[0.9998117,0.0000219959,0.00001415046,0.00008381029,0.00004041376,0.00002792162],"domain_scores_gemma":[0.9995112,0.0001704154,0.0001036505,0.00007547677,0.00006812525,0.00007108159],"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":[0.00055067,0.00002899513,0.02819386,0.00008542216,0.00003698235,0.0007906774,0.0009914007,0.0017128,0.9423891,0.005469469,0.0003704353,0.01938016],"study_design_scores_gemma":[0.0000382207,0.0003556039,0.8442992,0.00003207949,0.0001099581,0.003955514,0.001643874,0.008831141,0.1102997,0.01647197,0.01386836,0.0000944104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896361,0.0003150081,0.007131096,0.0002567542,0.00001928696,0.000005646651,0.0002834934,0.0001258414,0.002226918],"genre_scores_gemma":[0.9949877,0.0002086774,0.003061024,0.0001581665,0.00002235026,0.0000124295,0.0004338415,0.00004769065,0.001068099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00123029,"threshold_uncertainty_score":0.00411576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121114780693736,"score_gpt":0.1993053390737206,"score_spread":0.1880941912667833,"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."}}