{"id":"W3018733063","doi":"10.1002/bit.27364","title":"The importance and future of biochemical engineering","year":2020,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Army Research Laboratory; Army Research Office; Center for Bioenergy Innovation; Division of Chemical, Bioengineering, Environmental, and Transport Systems; Division of Molecular and Cellular Biosciences; National Institute of Allergy and Infectious Diseases; Multidisciplinary University Research Initiative; McGill University; U.S. Department of Energy; National Institutes of Health; National Science Foundation","keywords":"Biochemical engineering; Chemistry; Computational biology; Biotechnology; Engineering; Biology","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":[0.00004756122,0.0001191,0.0001218025,0.00004085829,0.00002983266,0.000009515225,0.00009661243,0.0002109856,0.000001931666],"category_scores_gemma":[0.00002035948,0.00009093149,0.0000176415,0.000208659,0.00008803561,0.00003171774,0.00003965971,0.0002175818,8.348081e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007324194,"about_ca_system_score_gemma":0.000003364189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.130156e-7,"about_ca_topic_score_gemma":1.465563e-7,"domain_scores_codex":[0.9995093,0.000001400335,0.0001495209,0.0001189653,0.00004913295,0.0001716586],"domain_scores_gemma":[0.9997724,0.00002772334,0.00001268216,0.00009705916,0.000007465557,0.00008263772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001360511,0.00001176291,0.0007807096,0.001475283,0.0001788313,0.000006439689,0.0003191246,0.0008431832,0.9037902,0.02302414,0.001493434,0.06806324],"study_design_scores_gemma":[0.0005621408,0.0001613793,0.007587209,0.00009911586,0.00005628248,0.00009487452,0.0003533174,0.3796,0.3596239,0.0001329364,0.2509921,0.0007367106],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.944499,0.03427041,0.007163642,0.01254188,0.0005044338,0.0001127327,0.000007439443,0.0008662504,0.00003425763],"genre_scores_gemma":[0.9935892,0.004389615,0.001750449,0.00002685084,0.0002168017,0.000006840873,0.000002180908,0.00001670211,0.000001425254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5441663,"threshold_uncertainty_score":0.3708079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003876316995506645,"score_gpt":0.1662079303624929,"score_spread":0.1623316133669862,"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."}}