{"id":"W2008683695","doi":"10.1016/s0167-7799(03)00190-2","title":"Making recombinant proteins in animals – different systems, different applications","year":2003,"lang":"en","type":"review","venue":"Trends in biotechnology","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":171,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Recombinant DNA; Transgene; Bioreactor; Genetically engineered; Biology; Genetically modified organism; Biotechnology; Genetically modified mouse; Computational biology; Cell biology; Biochemical engineering; Gene; Biochemistry; Engineering","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001884463,0.0005552311,0.001249857,0.0008783686,0.00005744069,0.00002481723,0.0004762821,0.001741164,0.00001527396],"category_scores_gemma":[0.00002126211,0.000435529,0.0002362966,0.0006337538,0.0001416531,0.000001341514,0.0002651527,0.0006185544,0.00001174377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568968,"about_ca_system_score_gemma":0.0000519875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001550173,"about_ca_topic_score_gemma":0.0001417566,"domain_scores_codex":[0.9971099,0.0002023806,0.0008659428,0.00118986,0.000116802,0.0005150676],"domain_scores_gemma":[0.9985136,0.000008801587,0.0003898127,0.001021077,0.00002410119,0.00004262454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001391399,0.0003865375,0.00006779227,0.002032152,0.00006894468,0.00001091558,0.000006184259,0.000005027991,0.002860927,0.003289452,0.0001584318,0.9910997],"study_design_scores_gemma":[0.0002429234,0.0003258583,0.00008167761,0.001201392,0.00007689386,0.00009911608,0.00001753878,0.0000056247,0.0006555596,0.00007698587,0.9967287,0.0004877122],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009724355,0.9965068,0.0004587065,0.000078953,0.0003576238,0.001211825,0.00002939098,0.00004033495,0.0003438907],"genre_scores_gemma":[0.01176189,0.9848955,0.0001575254,0.000006344444,0.0001338732,0.001613675,0.0002517641,0.00007685309,0.001102595],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9965703,"threshold_uncertainty_score":0.9998096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06481439490415292,"score_gpt":0.3525455596611378,"score_spread":0.2877311647569849,"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."}}