{"id":"W1587982267","doi":"10.1080/21655979.2015.1011027","title":"Biosynthesis of poly(3-hydroxypropionate) from glycerol using engineered<i>Klebsiella pneumoniae</i>strain without vitamin B<sub>12</sub>","year":2015,"lang":"en","type":"article","venue":"Bioengineered","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Shandong Province; Chinese Academy of Sciences; University of Bristol; Public Health Agency of Canada; Arizona State University","keywords":"Klebsiella pneumoniae; Metabolic engineering; Glycerol; Escherichia coli; Biochemistry; Biosynthesis; Chemistry; Polyhydroxyalkanoates; Strain (injury); Cupriavidus necator; Yield (engineering); Microbiology; Bacteria; Enzyme; Biology; Gene; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005027638,0.0005189611,0.0007467762,0.0002267432,0.0001004916,0.0001111869,0.00059588,0.0003011654,0.0001420462],"category_scores_gemma":[0.0002013658,0.0004327864,0.0001918222,0.0002857519,0.0002086487,0.0002866052,0.000135975,0.0001632636,0.0001373902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000111214,"about_ca_system_score_gemma":0.0002028902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001113173,"about_ca_topic_score_gemma":0.00004132696,"domain_scores_codex":[0.9971474,0.0001601473,0.0007312279,0.0006259315,0.0006540007,0.000681275],"domain_scores_gemma":[0.9983472,0.0001567033,0.0002418269,0.0007422585,0.0001389682,0.0003730359],"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":[0.0001180148,0.0001003824,0.0002836471,0.00005187312,0.00006112951,0.000008155769,0.0004039784,0.0001221075,0.9904423,0.00005493019,0.0001796318,0.008173889],"study_design_scores_gemma":[0.0006084143,0.000119284,0.0001971465,0.0001574795,0.0001045757,0.00001623498,0.0002032554,0.01093719,0.9863211,0.00007331604,0.0007109946,0.0005510062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982353,0.01174263,0.002908034,0.0003301565,0.0009609451,0.0002701562,0.0009892225,0.0002555428,0.0001903668],"genre_scores_gemma":[0.993182,0.00007098056,0.006176752,0.00006668059,0.0002784765,0.00002292638,0.0000319372,0.00009312358,0.00007710376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01167165,"threshold_uncertainty_score":0.9998124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03455319428434555,"score_gpt":0.2193320812438028,"score_spread":0.1847788869594573,"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."}}