{"id":"W3126587577","doi":"10.36359/scivp.2020-21-2.25","title":"SPECTROPHOTOMETRIC DETERMINATION OF ANTIOXIDANT SODIUM METABISULPHITE CONTENT IN PREPARED MEDICINAL FORMS OF VETERINARY MEDICINAL PRODUCTS","year":2020,"lang":"en","type":"article","venue":"Scientific and Technical Bulletin оf State Scientific Research Control Institute of Veterinary Medical Products and Fodder Additives аnd Institute of Animal Biology","topic":"Sulfur Compounds in Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Sodium; Chemistry; SIGNAL (programming language); Chromatography; Analytical Chemistry (journal); Computer science; Organic chemistry","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":[0.00109189,0.0007550893,0.0004398165,0.001175797,0.000358147,0.0003742386,0.000592527,0.0007391228,0.0009509138],"category_scores_gemma":[0.001242918,0.0003835433,0.000463186,0.0007248814,0.0004148056,0.0003995828,0.000449005,0.001038749,0.0003874091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003946693,"about_ca_system_score_gemma":0.0006342618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000561711,"about_ca_topic_score_gemma":0.00164015,"domain_scores_codex":[0.9984186,0.0003675821,0.0001041141,0.0001954342,0.0008631939,0.00005114969],"domain_scores_gemma":[0.9993943,0.00009658455,0.0001428556,0.0000480212,0.0002912593,0.00002691865],"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":[0.00009249866,0.00008731911,0.001148702,0.0005512257,0.0000461544,0.00006642045,0.0001241925,0.0002541748,0.9838792,0.0003743366,0.0002528677,0.01312275],"study_design_scores_gemma":[0.00001165425,0.0004795631,0.002438706,0.00003802672,0.00004334661,0.0002387855,0.00006151308,0.001690475,0.9894209,0.0001558064,0.005400506,0.00002061598],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.624869,0.03052865,0.3280205,0.0007822749,0.0007111403,0.0008459626,0.001169969,0.0009979603,0.01207452],"genre_scores_gemma":[0.6779204,0.01353984,0.2929211,0.0003053111,0.0001199629,0.0009591893,0.001285167,0.00007267227,0.01287642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001175797,"threshold_uncertainty_score":0.005774498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08555581080743951,"score_gpt":0.3481325170049065,"score_spread":0.262576706197467,"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."}}