{"id":"W2108925141","doi":"10.1002/bit.21396","title":"Strategy for selecting and characterizing linker peptides for CBM9‐tagged fusion proteins expressed in <i>Escherichia coli</i>","year":2007,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"","keywords":"Linker; Escherichia coli; Fusion protein; Chemistry; Proteolysis; Biochemistry; Proteome; Recombinant DNA; Combinatorial chemistry; Enzyme; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003584175,0.0001482648,0.0002438727,0.0002220918,0.0001266642,0.00001634103,0.00005028804,0.0003250409,0.000001650202],"category_scores_gemma":[0.00009422281,0.0001268989,0.0000352603,0.0001766172,0.00007857399,0.00004847864,0.00005067688,0.0002801777,3.551832e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002063537,"about_ca_system_score_gemma":0.00002155992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003142634,"about_ca_topic_score_gemma":0.00005195355,"domain_scores_codex":[0.9990437,0.000004490732,0.0002156098,0.0002614667,0.00006372315,0.0004110046],"domain_scores_gemma":[0.9996381,0.0001288218,0.00003713272,0.00008176253,0.00003895203,0.00007519891],"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":[0.0004934671,0.00003618629,0.002952438,0.0005529504,0.00002848207,0.000009345919,0.00007390419,0.000003629601,0.9835283,0.0006365288,0.000009665911,0.01167509],"study_design_scores_gemma":[0.001880508,0.0009327765,0.02793943,0.0003398271,0.00002513645,0.00005186582,0.0002098515,0.006137258,0.9423445,0.000101672,0.01978905,0.0002481431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866335,0.0007505564,0.009034748,0.002442254,0.00004252009,0.0009606618,0.00001499291,0.00009759449,0.0000232003],"genre_scores_gemma":[0.9837693,0.0004105947,0.01535439,0.00009665207,0.0001261071,0.00008873609,0.00001697252,0.00002023729,0.0001170411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04118383,"threshold_uncertainty_score":0.5174789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02842222619904529,"score_gpt":0.2932474653219093,"score_spread":0.264825239122864,"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."}}