{"id":"W7028658869","doi":"","title":"Expression, purification and isotopic labelling of HAV and HRV14 3C protease","year":2000,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Biomedical and Chemical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Labelling; Protease; Enzyme; Nuclear magnetic resonance spectroscopy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004742558,0.0007167202,0.0006768858,0.0006613009,0.0008947913,0.001143318,0.001041917,0.0004761454,0.00247308],"category_scores_gemma":[0.0004011901,0.0004937591,0.000734938,0.00111687,0.0006118541,0.0003134786,0.0005437981,0.001406237,0.002524607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00267559,"about_ca_system_score_gemma":0.001894646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03179221,"about_ca_topic_score_gemma":0.03889506,"domain_scores_codex":[0.9994155,0.00005558485,0.00004778931,0.000100029,0.0002127859,0.0001683394],"domain_scores_gemma":[0.9997451,0.00003885168,0.00002549608,0.00006645391,0.00008635741,0.000037701],"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":[0.0002638614,0.00004766982,0.0002759337,0.00007689994,0.0000120133,0.00008233551,0.0000715018,0.0001460592,0.9937615,0.000921101,0.0007623902,0.003578922],"study_design_scores_gemma":[0.00002710855,0.0001037223,0.004311265,0.00001635331,0.00002909596,0.0002278446,0.00008160015,0.0009154939,0.9689354,0.0001639612,0.02517023,0.00001779671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8960499,0.005747705,0.04837307,0.001332736,0.0005572102,0.0006619222,0.0231917,0.0009738845,0.02311204],"genre_scores_gemma":[0.6925982,0.004025703,0.1205593,0.0004844195,0.0001019593,0.000425534,0.08906028,0.001107743,0.09163699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03179221,"threshold_uncertainty_score":0.06321436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004481241782860385,"score_gpt":0.1717834201699056,"score_spread":0.1673021783870452,"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."}}