{"id":"W2559630315","doi":"10.3389/fpls.2016.01784","title":"Comparative Transcriptomic Analysis of Virulence Factors in Leptosphaeria maculans during Compatible and Incompatible Interactions with Canola","year":2016,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Manitoba; Université Laval","funders":"Agriculture and Agri-Food Canada; Saskatchewan Canola Development Commission; Université Laval","keywords":"Leptosphaeria maculans; Biology; Blackleg; Canola; Effector; Transcriptome; Genetics; Gene; Virulence; Fungus; Brassica; Mycosphaerella graminicola; RNA-Seq; Computational biology; Gene expression; Botany; Cell 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001437651,0.0004019191,0.0006262491,0.0006549543,0.0003757684,0.0006184581,0.0001834218,0.0003669897,0.0006720258],"category_scores_gemma":[0.0002136644,0.0002141048,0.0004883491,0.0004653796,0.0002059884,0.0003922128,0.0004395561,0.0006287807,0.0003517428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002589868,"about_ca_system_score_gemma":0.000228032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001394782,"about_ca_topic_score_gemma":0.002213753,"domain_scores_codex":[0.9998521,0.000009768332,0.000006699925,0.0000590073,0.00003214716,0.000040301],"domain_scores_gemma":[0.9998555,0.0000319733,0.00003061908,0.000009172401,0.00003810446,0.00003451218],"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":[0.0001550937,0.00002101711,0.001754692,0.00007671759,0.00001272549,0.00008199766,0.0001366759,0.00005039109,0.9964401,0.00003491035,0.00005168432,0.001183958],"study_design_scores_gemma":[0.00003643607,0.0009007191,0.649712,0.0001017603,0.0002354104,0.0007266667,0.002079404,0.005129997,0.3315264,0.0004145298,0.009039922,0.00009672593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913235,0.002136118,0.001324184,0.00009135006,0.00003371071,0.00004167122,0.003889766,0.00007553805,0.001084153],"genre_scores_gemma":[0.9814463,0.001418505,0.002896143,0.0003607329,0.00004171818,0.0001834765,0.009071178,0.00008180606,0.004500086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001394782,"threshold_uncertainty_score":0.002773404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783109866336547,"score_gpt":0.2309656849478194,"score_spread":0.213134586284454,"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."}}