{"id":"W1965421273","doi":"10.1007/s11538-015-0073-9","title":"A Modelling Framework for Gene Regulatory Networks Including Transcription and Translation","year":2015,"lang":"en","type":"article","venue":"Bulletin of Mathematical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Victoria","funders":"","keywords":"Transcription (linguistics); Messenger RNA; Gene; Biology; Translation (biology); Gene expression; Mathematics; Genetics; Computer science; Computational biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001149089,0.001170973,0.001248324,0.0009372029,0.0008998922,0.001857143,0.002301036,0.001894929,0.004214335],"category_scores_gemma":[0.002907568,0.0005814321,0.001959245,0.001397767,0.001321504,0.00209872,0.001162135,0.001729647,0.0009479829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001897019,"about_ca_system_score_gemma":0.001736416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007527736,"about_ca_topic_score_gemma":0.006356266,"domain_scores_codex":[0.9995521,0.0001939396,0.00002655686,0.00009400242,0.00008357417,0.00004985028],"domain_scores_gemma":[0.9987788,0.000854059,0.0001064428,0.000072826,0.0001075066,0.00008034731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002175832,0.00002613425,0.0001464861,0.00006526951,0.0000304453,0.0001146262,0.00009353466,0.5593387,0.001966054,0.4333972,0.0007383612,0.004061322],"study_design_scores_gemma":[0.00001225664,0.00001395252,0.00004955157,0.000009081319,0.00001687017,0.00003192791,0.00001304384,0.8235666,0.0001641726,0.1735579,0.002554323,0.00001033295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009738892,0.0004370475,0.9813798,0.0008039614,0.00006581788,0.00004015845,0.0002627899,0.0001652351,0.007106254],"genre_scores_gemma":[0.5281685,0.002628221,0.442804,0.0004787423,0.0003246321,0.000902304,0.0007810402,0.0003760885,0.02353658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007527736,"threshold_uncertainty_score":0.01496786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05343283456217945,"score_gpt":0.2805075419571269,"score_spread":0.2270747073949475,"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."}}