{"id":"W2045275095","doi":"10.1007/s10910-011-9911-7","title":"A linear programming approach to weak reversibility and linear conjugacy of chemical reaction networks","year":2011,"lang":"en","type":"article","venue":"Journal of Mathematical Chemistry","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Conjugacy class; Mathematics; Linear programming; Algebraic number; Set (abstract data type); Applied mathematics; Transformation (genetics); Mathematical optimization; Pure mathematics; Computer science; Mathematical analysis; Chemistry","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":[0.003339403,0.001466729,0.001653638,0.001395959,0.0009102382,0.002871239,0.002634186,0.001816271,0.007111183],"category_scores_gemma":[0.01054574,0.001251442,0.002414106,0.001330941,0.004278058,0.00513655,0.003332237,0.005361383,0.0006087979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002296653,"about_ca_system_score_gemma":0.001940295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002120021,"about_ca_topic_score_gemma":0.00174151,"domain_scores_codex":[0.998476,0.0007935151,0.00006365726,0.000266231,0.0002391877,0.0001613244],"domain_scores_gemma":[0.9910066,0.007447654,0.0004751879,0.0004193399,0.0003509125,0.0003004633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000298476,0.00007699915,0.0001449081,0.0000777961,0.00003227668,0.00005777352,0.0000999195,0.1706337,0.0006335711,0.8169252,0.0007643015,0.01052378],"study_design_scores_gemma":[0.00001337368,0.000029988,0.0000349015,0.000009503822,0.00001290092,0.00001403243,0.00001330345,0.4117444,0.0003069835,0.5869888,0.0008197246,0.00001199079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01611005,0.0003559612,0.9712488,0.0009529314,0.00007402482,0.00006010971,0.00008051535,0.00009648214,0.01102122],"genre_scores_gemma":[0.6558967,0.001757237,0.2963592,0.0006702668,0.0007244298,0.0006274251,0.0003029695,0.0003999434,0.04326187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007111183,"threshold_uncertainty_score":0.02378929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04313480971413392,"score_gpt":0.2913362394099454,"score_spread":0.2482014296958115,"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."}}