{"id":"W4386986858","doi":"10.1016/j.mex.2023.102395","title":"Determining superoxide dismutase content and catalase activity in mammalian cell lines","year":2023,"lang":"en","type":"article","venue":"MethodsX","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Water Research Commission; Department of Science and Technology, Ministry of Science and Technology, India; National Research Foundation","keywords":"Superoxide dismutase; Catalase; Cuvette; Absorbance; Enzyme; Chemistry; Cell culture; Biochemistry; Food science; Molecular biology; Chromatography; Biology","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":[0.0006761843,0.0001369518,0.0001982312,0.0001125251,0.00006893621,0.00003022327,0.00009320577,0.00004131864,0.00001121388],"category_scores_gemma":[0.0004398414,0.0001227821,0.00003699931,0.0001749681,0.0000750711,0.000124162,0.0001463887,0.0001525091,0.00004007905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000179716,"about_ca_system_score_gemma":0.00001157149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004946211,"about_ca_topic_score_gemma":0.00003044321,"domain_scores_codex":[0.9988896,0.0003163766,0.0001575796,0.0002971464,0.00008868302,0.0002505995],"domain_scores_gemma":[0.998997,0.0007037185,0.00005165345,0.0001517548,0.00001548416,0.00008039632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002424667,0.00009692515,0.137073,0.0001377879,0.00001106257,0.002104576,0.002760606,0.00001003925,0.7682955,0.00003030469,0.00005520793,0.08918259],"study_design_scores_gemma":[0.00115405,0.0008080981,0.8239643,0.0001436482,0.00002255481,0.0001138589,0.001729039,0.009394755,0.1611218,0.0004460982,0.0006387159,0.0004630274],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984019,0.00005201552,0.0007701262,0.0001073506,0.00009679306,0.00009831084,0.00003041784,0.0001403607,0.0003027591],"genre_scores_gemma":[0.9785326,0.00001357589,0.02041467,0.00003666102,0.00006901831,0.00002136052,0.000006324834,0.0000221125,0.0008837096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6868914,"threshold_uncertainty_score":0.500691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4266191546687027,"score_gpt":0.4608607187683876,"score_spread":0.03424156409968493,"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."}}