{"id":"W2798035186","doi":"10.1186/s12864-018-4513-4","title":"Transcriptome profiling of two maize inbreds with distinct responses to Gibberella ear rot disease to identify candidate resistance genes","year":2018,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Mycotoxins in Agriculture and Food","field":"Agricultural and Biological Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Canadian Field Crop Research Alliance","keywords":"Biology; Quantitative trait locus; Candidate gene; Transcriptome; Genetics; Gene; Plant disease resistance; Gene expression profiling; RNA-Seq; Reference genes; Genome; Gibberella; Fusarium; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001666123,0.0003490457,0.0003369729,0.0004852342,0.0001978015,0.0003035875,0.0001880601,0.0002866299,0.0006749063],"category_scores_gemma":[0.0001686153,0.0001462255,0.0004530749,0.0003586768,0.0001619647,0.0001337053,0.0003301861,0.0004489351,0.0001952824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002811074,"about_ca_system_score_gemma":0.0001811833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001110826,"about_ca_topic_score_gemma":0.001366556,"domain_scores_codex":[0.9998733,0.000007934424,0.000008028228,0.00004518599,0.00003514353,0.00003045169],"domain_scores_gemma":[0.9998197,0.00002869819,0.00005977903,0.00001428155,0.0000317677,0.00004569037],"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":[0.0000660787,0.000007434201,0.0005675848,0.0000125555,0.000005647579,0.00001451231,0.00002550597,0.00001422279,0.9989328,0.00001699071,0.00000883979,0.0003278546],"study_design_scores_gemma":[0.00007284884,0.0008532913,0.5712658,0.00002062891,0.0002217305,0.0006429572,0.000341276,0.001890609,0.420331,0.0001977823,0.004114535,0.00004747082],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954146,0.0003031412,0.001748604,0.00003174074,0.00000914353,0.00003573762,0.002034238,0.0000413967,0.000381367],"genre_scores_gemma":[0.9857367,0.0003651393,0.003232674,0.0001534479,0.00001105998,0.0000892867,0.007927496,0.00006900285,0.002415262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001110826,"threshold_uncertainty_score":0.002257764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02691137984268317,"score_gpt":0.2680171232626456,"score_spread":0.2411057434199624,"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."}}