{"id":"W1869516088","doi":"10.1038/nmeth.f.202","title":"Protein production and purification","year":2008,"lang":"en","type":"review","venue":"Nature Methods","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":921,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Biological and Environmental Research; Medical Research Council; Knut och Alice Wallenbergs Stiftelse; Karolinska Institutet; Stiftelsen för Strategisk Forskning; Ministry of Education, Culture, Sports, Science and Technology; U.S. Department of Energy; European Commission; RIKEN; Ontario Genomics Institute; Directorate for Biological Sciences; National Institutes of Health; Ontario Genomics; Genome Canada; GlaxoSmithKline; Ontario Innovation Trust; Wellcome Trust; National Institute of General Medical Sciences; Bundesministerium für Bildung und Forschung","keywords":"Computer science; Protein expression; Computational biology; Data science; Operations research; Biology; Genetics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001420701,0.002864137,0.002102147,0.002849889,0.001114206,0.001289873,0.002207106,0.001065814,0.01038261],"category_scores_gemma":[0.0008534709,0.001080647,0.001271495,0.002536256,0.0007817638,0.001062658,0.001621184,0.0031967,0.04577398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00077127,"about_ca_system_score_gemma":0.0009883412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001139899,"about_ca_topic_score_gemma":0.001986513,"domain_scores_codex":[0.9989522,0.0001261169,0.00008972327,0.0001966204,0.0005139249,0.0001214255],"domain_scores_gemma":[0.9996824,0.00004826942,0.00002619088,0.00009191166,0.0001008753,0.00005034797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001470661,0.0003101813,0.0003646491,0.003781844,0.0001082065,0.0002788307,0.0001415801,0.000391249,0.6804559,0.006086885,0.06382928,0.2441043],"study_design_scores_gemma":[0.00005159329,0.0001713742,0.00170845,0.0002067195,0.0000825682,0.001411019,0.00003241856,0.0006989475,0.3186125,0.001754506,0.6752074,0.00006250164],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01600203,0.120614,0.7328838,0.002980792,0.004129312,0.006187249,0.02445683,0.01100087,0.08174501],"genre_scores_gemma":[0.04238841,0.1668966,0.5003929,0.002636645,0.001322487,0.007848213,0.101447,0.001900446,0.1751674],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01038261,"threshold_uncertainty_score":0.03473336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02896211272572656,"score_gpt":0.4097533592668457,"score_spread":0.3807912465411191,"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."}}