{"id":"W2080381436","doi":"10.1021/bp000098l","title":"293SF Metabolic Flux Analysis during Cell Growth and Infection with an Adenoviral Vector","year":2000,"lang":"en","type":"article","venue":"Biotechnology Progress","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Flux (metallurgy); Metabolic flux analysis; Viral vector; Vector (molecular biology); Biology; Cell; Cell biology; Virology; Chemistry; Metabolism; Recombinant DNA; Genetics; Biochemistry; 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":[0.0001242799,0.0001999015,0.0002215317,0.000285687,0.0001580294,0.00003858589,0.0002151966,0.0004306021,0.00008749539],"category_scores_gemma":[0.000006728827,0.0001737015,0.00006331489,0.0006604496,0.0004209025,0.00001063864,0.00007502412,0.0001987012,0.00001071241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009201031,"about_ca_system_score_gemma":0.00003690103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004044011,"about_ca_topic_score_gemma":0.0002375723,"domain_scores_codex":[0.9986753,0.0001008476,0.0001419457,0.0005634663,0.0001362435,0.0003821367],"domain_scores_gemma":[0.9993099,0.000002698477,0.00005272955,0.0004977497,0.00004501606,0.00009191644],"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":[0.001953922,0.0002040779,0.05691087,0.0000283902,0.0005620181,0.00001672722,0.00002656456,0.00002238253,0.9249731,0.00004072125,0.000007782781,0.01525349],"study_design_scores_gemma":[0.0008308802,0.002888247,0.02951832,0.000002508725,0.0001563181,0.0000279545,0.0000115346,0.0000639923,0.9653261,0.00001124745,0.0009346298,0.0002282216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964722,0.00277485,0.00003897384,0.0002642298,0.00001440423,0.0002337152,0.00001114652,0.0001059056,0.00008454728],"genre_scores_gemma":[0.9980011,0.0009039499,0.0005127444,0.00003266082,0.00008004101,0.00006385039,0.00007824808,0.00003107485,0.0002963601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04035309,"threshold_uncertainty_score":0.7083343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006331879986093009,"score_gpt":0.252406612608593,"score_spread":0.2460747326225,"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."}}