{"id":"W2100693118","doi":"10.1007/s10295-015-1627-4","title":"Engineering <i>Escherichia coli</i> for high-level production of propionate","year":2015,"lang":"en","type":"article","venue":"Journal of Industrial Microbiology & Biotechnology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Propionate; Escherichia coli; Biochemistry; Glycerol; Chemistry; Metabolic engineering; Dissimilation; Biology; Microbiology; Enzyme; Gene","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":[0.0007007706,0.0001814755,0.0004025466,0.000225668,0.00002704997,0.000005016246,0.0002691601,0.0009025887,0.00000206555],"category_scores_gemma":[0.001260069,0.0001554889,0.0001177283,0.000227689,0.0001468459,0.000007969846,0.00006748174,0.0003452104,0.000001479078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003692498,"about_ca_system_score_gemma":0.0002254489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009513039,"about_ca_topic_score_gemma":0.000002695743,"domain_scores_codex":[0.9988073,0.00004734155,0.0005957268,0.0002553688,0.00004840816,0.0002458376],"domain_scores_gemma":[0.9987458,0.000007439493,0.0005021108,0.0002383406,0.0004459348,0.00006034809],"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":[0.0004789311,0.00007807651,0.00004845927,0.00001555357,0.0001373912,9.787966e-7,0.00001284877,0.0005896744,0.9872137,0.0002043423,0.008794754,0.002425267],"study_design_scores_gemma":[0.001362004,0.00112178,0.00001654773,0.00003334078,0.00005207005,0.0002690358,0.00003139391,0.000003001079,0.8881198,0.00003452032,0.1088216,0.0001348643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880541,0.0006753157,0.004880725,0.001712155,0.004297989,0.0003130725,0.00004547978,0.00001817954,0.000002975992],"genre_scores_gemma":[0.9855104,0.0001495419,0.01217444,0.0000415395,0.001866334,0.000009017795,0.00005316644,0.00002663676,0.0001689374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1000269,"threshold_uncertainty_score":0.6961591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02756752779827467,"score_gpt":0.2228252308906708,"score_spread":0.1952577030923961,"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."}}