{"id":"W3205046932","doi":"10.1038/s41598-021-99063-9","title":"Integrative transcriptomic and gene co-expression network analysis of host responses upon Verticillium dahliae infection in Gossypium hirsutum","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute","funders":"National Key Research and Development Program of China; Xinjiang Production and Construction Corps","keywords":"Verticillium dahliae; Host (biology); Transcriptome; Gossypium hirsutum; Host response; Biology; Gossypium; Gene; Gene expression; Malvaceae; Genetics; Computational biology; Botany; Bioinformatics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007903039,0.0001127649,0.0002704925,0.00009251844,0.0002691119,0.0001379701,0.00006245905,0.00007443441,0.0002368546],"category_scores_gemma":[0.0001555475,0.00005040626,0.0001276984,0.001620906,0.0001110674,0.0002101523,0.00004339942,0.0001412892,0.000001910995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004116294,"about_ca_system_score_gemma":0.00003255413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00110467,"about_ca_topic_score_gemma":0.01050853,"domain_scores_codex":[0.9985318,0.0002273593,0.0004387591,0.0004278305,0.0001708506,0.0002033808],"domain_scores_gemma":[0.9992841,0.0001491008,0.0001954949,0.0001471781,0.0001680992,0.00005602244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004795221,0.00009057704,0.1118442,0.000003110614,0.00003969395,0.00004083656,0.0001814124,0.00007839754,0.886327,0.000003066022,0.0007453806,0.0005983501],"study_design_scores_gemma":[0.00003952278,0.00003674439,0.5760237,0.0000543213,0.00006199227,0.00004616065,0.0001643228,0.000208716,0.4144948,0.00009743249,0.008682283,0.00009001797],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979596,0.0002737067,0.00001661825,0.0000820006,0.001302487,0.00009557029,0.00004070927,0.00001724486,0.000212078],"genre_scores_gemma":[0.9987711,0.0001037314,0.00005346171,0.00001660903,0.00002888784,0.000006436149,0.0003508463,7.198741e-7,0.0006682198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4718322,"threshold_uncertainty_score":0.5864007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855344685189572,"score_gpt":0.2529869001794002,"score_spread":0.2344334533275045,"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."}}