{"id":"W2973019116","doi":"10.1139/gen-2018-0152","title":"Comparative transcriptome profiling reveals the reprogramming of gene networks under arsenic stress in Indian mustard","year":2019,"lang":"en","type":"article","venue":"Genome","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; KEGG; Transcriptome; Gene expression profiling; Metabolic pathway; Arsenic; Phytoremediation; Arsenic toxicity; Genetics; Gene; Gene expression; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006290113,0.0001630579,0.0003129143,0.0004960407,0.0003182027,0.0003480392,0.0001125394,0.0001941744,0.0005880735],"category_scores_gemma":[0.00007255012,0.0001302749,0.0003722148,0.000644218,0.0001537394,0.0002179987,0.0002190108,0.0003393769,0.0001267752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002717418,"about_ca_system_score_gemma":0.0002735672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004080755,"about_ca_topic_score_gemma":0.00560759,"domain_scores_codex":[0.9999155,0.000006169844,0.000004223138,0.00003619854,0.00001768227,0.0000202978],"domain_scores_gemma":[0.9999509,0.00000837381,0.00001078634,0.000004162755,0.00001474773,0.00001111119],"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":[0.0001183428,0.000007936132,0.001973455,0.00003895264,0.00001105319,0.00004816467,0.0001183203,0.00007228788,0.9957603,0.00005508977,0.00003663438,0.001759582],"study_design_scores_gemma":[0.00001297136,0.000295476,0.7043376,0.00002028782,0.0001961472,0.0006624129,0.0009624077,0.004115872,0.2824982,0.0004413541,0.006417713,0.00003960633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952355,0.0006730167,0.001440373,0.0000593126,0.000007666384,0.00001446187,0.001572086,0.00005632891,0.0009412689],"genre_scores_gemma":[0.9887158,0.0006946429,0.002493402,0.0001340368,0.00000759226,0.00004521872,0.004200927,0.00003594365,0.003672496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004080755,"threshold_uncertainty_score":0.00811398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684087745841356,"score_gpt":0.2440075056324471,"score_spread":0.2271666281740335,"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."}}