{"id":"W2971742974","doi":"10.2144/btn-2019-0081","title":"Optimized Transformation, Overexpression and Purification of S100A10","year":2019,"lang":"en","type":"article","venue":"BioTechniques","topic":"S100 Proteins and Annexins","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Université du Québec à Trois-Rivières; Université Laval; Hôpital du Saint-Sacrement","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Circular dichroism; Transformation (genetics); Yield (engineering); Chemistry; Chromatography; Biophysics; Computational biology; Materials science; Biological system; Biochemistry; Biology; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008667506,0.00005690971,0.00007003982,0.00002630577,0.00001631606,0.00000672509,0.00005529777,0.0001248167,0.00002216058],"category_scores_gemma":[0.000008291842,0.00004824549,0.00002842056,0.00002829366,0.0000250823,0.000005063941,0.00001931301,0.0000299309,0.00000162093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002249049,"about_ca_system_score_gemma":0.00001169577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001140587,"about_ca_topic_score_gemma":2.727021e-7,"domain_scores_codex":[0.9996479,0.00001637744,0.0001137779,0.0001148026,0.00004905191,0.0000581211],"domain_scores_gemma":[0.9997378,0.000002215419,0.00005095891,0.0001552694,0.00003526283,0.00001847795],"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":[0.00004399607,0.00001520542,0.0001131715,0.00002459221,0.000003964297,2.316456e-8,0.00002717121,0.000001836347,0.9962019,0.0006086337,0.0002226957,0.002736805],"study_design_scores_gemma":[0.0002046542,0.0001567083,0.0006262212,0.00003453025,0.00000220464,0.000001580889,0.00002040643,0.00005899593,0.9837184,0.0001154228,0.01499703,0.00006384939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796365,0.0003087032,0.01712491,0.0001179779,0.0000156646,0.0003299034,0.0000111875,0.00002602011,0.002429102],"genre_scores_gemma":[0.9870774,0.0003988922,0.01223727,0.00004376996,0.00002052858,0.00001350772,0.00004131924,0.00000670778,0.0001606362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01477433,"threshold_uncertainty_score":0.1967394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006764018811781547,"score_gpt":0.2423337512788236,"score_spread":0.2355697324670421,"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."}}