{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000419686,0.0001699472,0.0001543113,0.00007883972,0.00004482521,0.00001337144,0.0001322867,0.0001692565,0.0001680153],"category_scores_gemma":[0.0000156472,0.000189322,0.00005274394,0.00004741276,0.00005372409,0.000002122801,0.00009110857,0.00007980036,0.00002774645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001608509,"about_ca_system_score_gemma":0.00002254886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000207002,"about_ca_topic_score_gemma":0.000009495317,"domain_scores_codex":[0.9990174,0.0000502866,0.0001495453,0.0004134335,0.00008347665,0.0002859269],"domain_scores_gemma":[0.9994952,0.000007174891,0.0000216476,0.0003249649,0.00001038124,0.0001406205],"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":[0.00003731637,0.00001843284,0.01344872,0.00001269348,0.00005174979,0.00002004166,0.00006116388,0.00599802,0.98024,0.00001721433,0.00002877447,0.0000658484],"study_design_scores_gemma":[0.0007861819,0.0007933675,0.757273,0.000003920027,0.00004072954,0.0001651418,0.00006949127,0.0002706621,0.2283791,0.00009337729,0.01178698,0.0003380964],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947092,0.0008519206,0.003481709,0.0001225965,0.0001587505,0.000403703,0.0001912044,0.00001410529,0.00006680392],"genre_scores_gemma":[0.9972871,0.00005261332,0.001381333,0.0006000212,0.00004048522,0.00002776153,0.0002211008,0.00003364826,0.0003559484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7518609,"threshold_uncertainty_score":0.7720328,"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."}}