{"id":"W4232792048","doi":"10.1515/iupac.66.0001","title":"Biochemical Engineering in Biotechnology","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bioprocess; Biotechnology; Bioprocess engineering; Biochemical engineering; Industrial biotechnology; Engineering; Process (computing); Metabolic engineering; Chemistry; Computer science; 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":[0.001168098,0.002086377,0.00221609,0.006653587,0.0007700099,0.003903225,0.002003266,0.002213323,0.06371479],"category_scores_gemma":[0.009101342,0.0006733173,0.001506435,0.01764249,0.000542798,0.003163963,0.002349235,0.00263475,0.05829727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001984264,"about_ca_system_score_gemma":0.0035814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01032631,"about_ca_topic_score_gemma":0.01273065,"domain_scores_codex":[0.9980705,0.000312037,0.0003627537,0.0004438733,0.0006271247,0.0001836571],"domain_scores_gemma":[0.9959645,0.001981002,0.0004884316,0.0007819192,0.0005418536,0.0002422527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001509635,0.00003212072,0.001454894,0.009717199,0.0001095077,0.00007866752,0.0000439408,0.001727289,0.0004580139,0.007913879,0.9228673,0.05544626],"study_design_scores_gemma":[0.00003071994,0.000008784322,0.0009417186,0.0008211173,0.00001833221,0.00005592632,0.0000145539,0.0001448528,0.0001343991,0.004044277,0.9937748,0.00001043051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003564809,0.01141637,0.001028779,0.0006293478,0.0001553416,0.00003951896,0.9757906,0.001522145,0.009061501],"genre_scores_gemma":[0.001414415,0.009998293,0.002080026,0.0006150043,0.00004073213,0.0001229793,0.9835736,0.0002630581,0.001891958],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06371479,"threshold_uncertainty_score":0.2131472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00679838833076612,"score_gpt":0.2973679026912721,"score_spread":0.290569514360506,"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."}}