{"id":"W2100818016","doi":"10.1109/acc.2013.6580543","title":"Sensitivity analysis in Petri net representation of biological systems","year":2013,"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":"Concordia University","funders":"","keywords":"Petri net; Computer science; Sensitivity (control systems); Cascade; Systems biology; Measure (data warehouse); Representation (politics); Data mining; Distributed computing; Engineering; Computational biology; Biology; Electronic engineering","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":[0.002688678,0.001153144,0.0008080751,0.001847552,0.0004206167,0.001741028,0.0008836712,0.0007355192,0.001806491],"category_scores_gemma":[0.007366795,0.0004778427,0.00147001,0.0009098692,0.001527313,0.001704389,0.001095145,0.001376598,0.0002050345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002052991,"about_ca_system_score_gemma":0.001101213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004510285,"about_ca_topic_score_gemma":0.002008785,"domain_scores_codex":[0.9978795,0.0009554974,0.000112675,0.0002995098,0.0005864921,0.0001664396],"domain_scores_gemma":[0.9944455,0.004463622,0.0003607503,0.0002162412,0.0003960766,0.0001178276],"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":[0.00003314128,0.00001554724,0.0003453566,0.00005693769,0.00003991191,0.0001067189,0.00005156293,0.909285,0.001734829,0.08145058,0.000234181,0.00664623],"study_design_scores_gemma":[0.000002402935,0.0000108237,0.00006042675,0.000005269688,0.000006938438,0.00001382977,0.000004554212,0.9540887,0.0003910743,0.04514476,0.0002650284,0.000006137983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01082049,0.0002293736,0.986344,0.0001216002,0.00003123891,0.00003656813,0.00008590704,0.0002663024,0.002064433],"genre_scores_gemma":[0.8320156,0.0007402651,0.1621189,0.0001329935,0.0001022462,0.0002535572,0.0003136649,0.0001611854,0.004161591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004510285,"threshold_uncertainty_score":0.01489556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01559221364109085,"score_gpt":0.2545587543439712,"score_spread":0.2389665407028804,"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."}}