{"id":"W2947337567","doi":"10.1186/s12864-019-5726-x","title":"Transcriptional reference map of hormone responses in wheat spikes","year":2019,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Biology; Computational biology; DNA microarray; Proteomics; Evolutionary biology; Genetics; Bioinformatics; 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":[0.0001599598,0.0003246147,0.0002616709,0.001075401,0.0002527625,0.0003533367,0.0001910418,0.0001662944,0.00188466],"category_scores_gemma":[0.000204326,0.0001341241,0.0004052822,0.001237272,0.0001341599,0.0002208844,0.0003164019,0.0002646458,0.0008641882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003176432,"about_ca_system_score_gemma":0.0002843788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001212343,"about_ca_topic_score_gemma":0.001422811,"domain_scores_codex":[0.9998392,0.000007759115,0.00001008151,0.00008591544,0.00003538305,0.0000215496],"domain_scores_gemma":[0.9998668,0.00002276912,0.00003453424,0.00001377815,0.00004553666,0.00001649903],"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":[0.0002784078,0.00002267577,0.005064429,0.0001477204,0.00001605474,0.00008187391,0.0001025705,0.0003552322,0.9827363,0.0002678701,0.0003117757,0.01061506],"study_design_scores_gemma":[0.00004810562,0.0007244863,0.4335476,0.00007452976,0.0002689148,0.001175405,0.00043829,0.008359788,0.5215696,0.001306737,0.03243985,0.00004670933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9044544,0.003568556,0.04846334,0.0001384264,0.00005567845,0.0001272265,0.03699091,0.000815716,0.005385832],"genre_scores_gemma":[0.872283,0.001729399,0.02560486,0.000116473,0.00004784947,0.0001864272,0.0953299,0.0001607694,0.004541446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00188466,"threshold_uncertainty_score":0.00630486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05303298575554557,"score_gpt":0.2525886858532714,"score_spread":0.1995557000977259,"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."}}