{"id":"W2102437866","doi":"10.1006/prep.1999.1176","title":"Extracellular Expression, Purification, and Characterization of a Winter Flounder Antifreeze Polypeptide from Escherichia coli","year":2000,"lang":"en","type":"article","venue":"Protein Expression and Purification","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Biological Sciences; SickKids Foundation; Hospital for Sick Children; University of Toronto; McMaster University","funders":"Medical Research Council Canada; Hong Kong University of Science and Technology","keywords":"Escherichia coli; Periplasmic space; Biochemistry; Biology; Amino acid; Extracellular; Winter flounder; Recombinant DNA; Antifreeze protein; Peptide sequence; Molecular biology; lac operon; Flounder; Chemistry; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009894979,0.0001408939,0.0001444595,0.00001902862,0.0001458049,0.00003467099,0.0001284065,0.0001197462,0.002936381],"category_scores_gemma":[0.00002633594,0.0001069034,0.0000282793,0.0001308504,0.0002014795,0.0002730835,0.00005488771,0.00009934264,0.00006217725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001296822,"about_ca_system_score_gemma":0.000005112043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006032687,"about_ca_topic_score_gemma":0.000001312837,"domain_scores_codex":[0.9988657,0.00009292072,0.000311764,0.0004024992,0.0001906082,0.0001364792],"domain_scores_gemma":[0.9994529,0.0000273088,0.0001512534,0.0002385181,0.00001938691,0.0001106044],"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":[0.00006445972,0.0001263037,0.0009426057,0.000009899722,0.00000260656,1.818068e-7,0.0002351682,0.000002987331,0.9877946,0.00005540842,0.00009240447,0.01067336],"study_design_scores_gemma":[0.000213255,0.00002869235,0.1375709,0.00006650814,0.000006756173,3.564191e-7,0.00002987136,0.0004345621,0.8542293,0.001812572,0.005467665,0.0001395539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964781,0.0002154086,0.002014938,0.0004040369,0.00001552343,0.0004358131,0.00003349964,0.00003823304,0.0003644199],"genre_scores_gemma":[0.9931775,0.0001521845,0.00463848,0.00006497761,0.00003810592,0.0001030592,0.000184638,0.000009649649,0.001631412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1366283,"threshold_uncertainty_score":0.9979751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208797251556004,"score_gpt":0.2052260915291056,"score_spread":0.1931381190135456,"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."}}