{"id":"W2061496234","doi":"10.1002/bit.21725","title":"At‐line monitoring of bioreactor protein production by surface plasmon resonance","year":2007,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute; Polytechnique Montréal","funders":"","keywords":"Bioreactor; Bioprocess; Surface plasmon resonance; Context (archaeology); Biopharmaceutical; Biosensor; Biochemical engineering; Chemistry; Nanotechnology; Chromatography; Materials science; Biochemistry; Biology; Biotechnology; Chemical engineering; Nanoparticle; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009060722,0.0007746727,0.0007047132,0.0007249142,0.0002727783,0.00084693,0.001091796,0.0009406552,0.0004090828],"category_scores_gemma":[0.0012384,0.0003317512,0.0002843113,0.0004978214,0.0004171829,0.0006514523,0.0005273208,0.001614254,0.0005980284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003885877,"about_ca_system_score_gemma":0.0003881614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003975754,"about_ca_topic_score_gemma":0.0004220126,"domain_scores_codex":[0.9982589,0.0002862781,0.00007738378,0.0003596769,0.0009256836,0.00009209107],"domain_scores_gemma":[0.9987065,0.000383362,0.0002651149,0.0001657355,0.0003953589,0.00008396975],"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":[0.00003500201,0.00002388246,0.0001822689,0.00001984631,0.000004302519,0.00001276136,0.00001708211,0.00008425366,0.9959704,0.00003760844,0.00007236536,0.003540268],"study_design_scores_gemma":[0.000006650359,0.0001213762,0.000753822,0.000002715205,0.000008139104,0.00005717442,0.00001208838,0.004837854,0.993458,0.00005448197,0.0006770766,0.00001069504],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4749883,0.001085572,0.5168315,0.0003877393,0.0001714579,0.0003529796,0.0008286195,0.003563853,0.001790042],"genre_scores_gemma":[0.687353,0.001237904,0.3059691,0.0003563929,0.00007845453,0.000704226,0.0009096464,0.0003349355,0.003056389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001091796,"threshold_uncertainty_score":0.004791796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006083029038732438,"score_gpt":0.2255754427014444,"score_spread":0.219492413662712,"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."}}