{"id":"W2981655730","doi":"10.1111/mec.15185","title":"Genome structure predicts modular transcriptome responses to genetic and environmental conditions","year":2019,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Biology; Transcriptome; Genome; Computational biology; Modular design; Genetics; Evolutionary biology; Gene; 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":[0.0001776686,0.0002183669,0.0002793158,0.0004283015,0.0001282105,0.0004365788,0.0001448826,0.0002605057,0.0007345911],"category_scores_gemma":[0.0005232066,0.0002679537,0.0002200799,0.0003155789,0.0002431084,0.0002818115,0.0004043514,0.0003572636,0.000237051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002384951,"about_ca_system_score_gemma":0.0001326971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004128054,"about_ca_topic_score_gemma":0.001007798,"domain_scores_codex":[0.9998789,0.00001276634,0.000005591936,0.00005721251,0.00002155034,0.0000239278],"domain_scores_gemma":[0.9996593,0.00009818238,0.0001384871,0.00004408009,0.0000324241,0.00002755738],"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":[0.0001448355,0.00001723592,0.03840619,0.0000488699,0.00003533289,0.00006598717,0.0000788868,0.004389872,0.9501356,0.0005369774,0.0001012272,0.00603885],"study_design_scores_gemma":[0.00001634044,0.0001372653,0.893472,0.00001811393,0.00006496681,0.0002753011,0.0001313683,0.03798706,0.06416295,0.002399401,0.001300313,0.00003501336],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953625,0.00008637357,0.003628023,0.00002314974,0.000002049103,0.000003501023,0.0003894474,0.00007778712,0.0004273396],"genre_scores_gemma":[0.9971914,0.00005127435,0.001828194,0.00001906777,0.000002245568,0.000007704296,0.0006903259,0.00003067102,0.0001791503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007345911,"threshold_uncertainty_score":0.0024575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002291063307580736,"score_gpt":0.2235145678281129,"score_spread":0.2212235045205322,"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."}}