{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000258112,0.0004573789,0.0002941663,0.0002311049,0.0002233403,0.0005259707,0.0002841734,0.0003209634,0.0003886787],"category_scores_gemma":[0.0002433802,0.0001825637,0.0003124514,0.0003017831,0.0002042187,0.0003114313,0.0002895118,0.000853852,0.0004788864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003513552,"about_ca_system_score_gemma":0.0002312744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001391595,"about_ca_topic_score_gemma":0.001362662,"domain_scores_codex":[0.9998722,0.00001835014,0.00001708773,0.00002502812,0.0000331503,0.00003422766],"domain_scores_gemma":[0.9997501,0.00005041211,0.00004396289,0.00004529561,0.00005950215,0.00005073448],"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":[0.0000411538,0.00002769391,0.000286565,0.00002581737,0.000004209722,0.00004640617,0.00002847554,0.00003511438,0.9987904,0.0000578703,0.00003535705,0.0006208565],"study_design_scores_gemma":[0.00001266414,0.0001010559,0.01177394,0.000008886763,0.00002126954,0.000304349,0.00007611918,0.0006308364,0.9830849,0.00004652301,0.003932125,0.000007448275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909592,0.0007071128,0.00632689,0.0002214848,0.00004738702,0.00003620561,0.001035889,0.0000481824,0.0006177549],"genre_scores_gemma":[0.97372,0.001481207,0.0115464,0.0002113987,0.0000455033,0.00005079834,0.007127763,0.0001005892,0.005716372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001391595,"threshold_uncertainty_score":0.002766967,"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."}}