{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002034759,0.0007997844,0.0004089366,0.0004177968,0.000205827,0.000659472,0.000430665,0.0002835996,0.001099264],"category_scores_gemma":[0.000283924,0.0001627006,0.0003009502,0.0004153489,0.0001924835,0.0001986265,0.0005780631,0.0003841637,0.0007328982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002450908,"about_ca_system_score_gemma":0.0001891999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001473115,"about_ca_topic_score_gemma":0.002933968,"domain_scores_codex":[0.9997569,0.00002360392,0.00002592586,0.00006537283,0.00009853614,0.00002960753],"domain_scores_gemma":[0.9998272,0.00003513594,0.00004720381,0.00003599147,0.00002546532,0.0000289343],"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":[0.00002416154,0.00001988536,0.0003874663,0.00003187374,0.000004433424,0.00004036454,0.0000103407,0.00004444136,0.9978294,0.00001970032,0.00003121939,0.001556735],"study_design_scores_gemma":[0.000003080027,0.0001289655,0.004712927,0.000005332096,0.00001897331,0.0001792557,0.00003583077,0.000339337,0.993079,0.0000185385,0.001472405,0.000006267909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847031,0.0008366958,0.009092165,0.0001570723,0.0000302955,0.00008357161,0.001902523,0.0005815355,0.002613012],"genre_scores_gemma":[0.9699744,0.001183556,0.01654557,0.0001086195,0.00001320612,0.0000835922,0.006360124,0.0002566929,0.005474275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001473115,"threshold_uncertainty_score":0.003677368,"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."}}