{"id":"W2537540552","doi":"10.1109/iembs.2004.1403818","title":"Consequences of deterministic and stochastic modeling of a promoter","year":2005,"lang":"en","type":"article","venue":"","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Stochastic modelling; Stochastic process; Statistical physics; Computer science; Mathematics; Applied mathematics; Physics; Statistics","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":[0.001476564,0.0004596532,0.0004110546,0.0003077601,0.0005903227,0.0007372378,0.000584123,0.0007289745,0.0009395911],"category_scores_gemma":[0.006923862,0.0003556781,0.0006980168,0.0002056306,0.0007268944,0.000706025,0.0005564542,0.0005799457,0.0001311878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108275,"about_ca_system_score_gemma":0.00129545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007750248,"about_ca_topic_score_gemma":0.002929586,"domain_scores_codex":[0.99887,0.0004026777,0.0000593623,0.0001727539,0.0003179737,0.00017719],"domain_scores_gemma":[0.9970524,0.001690976,0.0003003876,0.0004002814,0.0003963363,0.0001595468],"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":[0.00007949279,0.00003548806,0.002399843,0.00002148979,0.00002741759,0.000141677,0.00006016371,0.9359648,0.009372759,0.04919539,0.0001735632,0.002527919],"study_design_scores_gemma":[0.00000863992,0.00002154691,0.0003363851,0.000002113172,0.000007869692,0.00002231004,0.000009014528,0.9899585,0.001825427,0.007659653,0.0001411997,0.000007395628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7953553,0.000135271,0.1945333,0.0007795629,0.00006914318,0.0000541836,0.0002222148,0.0004440003,0.008407003],"genre_scores_gemma":[0.9913779,0.0000462137,0.007716982,0.00003533167,0.000007761857,0.00003543845,0.0000898137,0.00004243292,0.0006479594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007750248,"threshold_uncertainty_score":0.01541024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277396747406305,"score_gpt":0.2435004037883803,"score_spread":0.2307264363143172,"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."}}