{"id":"W4366828057","doi":"10.1101/2023.04.23.537879","title":"Screening non-conventional yeasts for organic acid tolerance and engineering <i>Pichia occidentalis</i> for production of <i>cis</i> , <i>cis</i> -muconic acid","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Commodity chemicals; Saccharomyces cerevisiae; Adipic acid; Yeast; Muconic acid; Metabolic engineering; Fermentation; Bioproduction; Bioproducts; Titer; Bioprocess; Biochemistry; Biology; Pichia; Chemistry; Food science; Biotechnology; Biofuel; Pichia pastoris; Genetics; Recombinant DNA; Organic chemistry; Enzyme; Gene; Catalysis","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006271793,0.0004940218,0.0005307579,0.000176014,0.0001206488,0.00006612649,0.0003058661,0.0004741255,0.000002679513],"category_scores_gemma":[0.000322039,0.0005776269,0.0002432076,0.0002555524,0.00008582735,0.00002171582,0.0002695556,0.0002675156,0.000002320799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004126733,"about_ca_system_score_gemma":0.0001816904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001021103,"about_ca_topic_score_gemma":0.000004641802,"domain_scores_codex":[0.9976118,0.00002568177,0.0005747725,0.001134269,0.0001876294,0.000465846],"domain_scores_gemma":[0.9983371,0.00001062149,0.0003566095,0.0007242992,0.0004394105,0.000131917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001363597,0.00004999698,0.0002734072,0.001177142,0.0002026358,6.829623e-7,0.000005709466,0.0005465226,0.9964646,0.00003771186,0.00109901,0.000006217047],"study_design_scores_gemma":[0.0007758304,0.0001301686,0.002565905,0.0003930853,0.0001527604,2.5642e-7,0.000003217954,0.0004047625,0.9878589,0.000001481545,0.00714708,0.0005665341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8628744,0.002790078,0.1278149,0.0001745603,0.004026141,0.001598377,0.0005605469,0.0001606324,3.25659e-7],"genre_scores_gemma":[0.9752883,0.0004894231,0.02123486,0.00005230974,0.002231314,0.0004535371,0.00002539992,0.0001890477,0.00003586917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1124138,"threshold_uncertainty_score":0.9996675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008578668360620045,"score_gpt":0.2059983989558137,"score_spread":0.1974197305951937,"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."}}