{"id":"W4416623456","doi":"10.5256/f1000research.155278.r214146","title":"Referee report. For: Identification of high-performing antibodies for Superoxide dismutase [Cu-Zn] 1 (SOD1) for use in Western blot, immunoprecipitation, and immunofluorescence [version 2; peer review: 2 approved]","year":2023,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Metal-Catalyzed Oxygenation Mechanisms","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Genentech; Government of Canada; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Mitacs; Ontario Genomics; Genome Canada; Bayer; Motor Neurone Disease Association; Pfizer; Bristol-Myers Squibb","keywords":"Immunofluorescence; Superoxide dismutase; Antibody; Identification (biology); Indirect immunofluorescence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007486704,0.0002113773,0.0005134755,0.0003964247,0.000244177,0.00007729852,0.0004771815,0.000169315,0.00002969276],"category_scores_gemma":[0.01210096,0.0002020934,0.0001588952,0.0004725803,0.0001805093,0.0005966512,0.0002194437,0.0002139121,0.000009532352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001418549,"about_ca_system_score_gemma":0.0001395669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005037748,"about_ca_topic_score_gemma":0.0001681698,"domain_scores_codex":[0.996197,0.00009472982,0.001262874,0.0006200826,0.001338023,0.0004872353],"domain_scores_gemma":[0.9923836,0.001205714,0.0004947508,0.0007931694,0.005040034,0.00008275048],"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":[0.0003739508,0.0001016457,0.001169407,0.006446309,0.00007559582,0.000002971311,0.0006967615,0.00001716845,0.9692668,0.0003574193,0.01879359,0.002698371],"study_design_scores_gemma":[0.001819731,0.0001160449,0.003857412,0.001546214,0.00006331743,0.00000844005,0.001343034,0.001635171,0.9594064,0.001122657,0.02881724,0.0002643108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845124,0.0008050636,0.004071189,0.003469891,0.00009517264,0.001987278,0.004983222,0.00005723844,0.00001852045],"genre_scores_gemma":[0.8281823,0.004822825,0.02015538,0.00003006538,0.0001233064,0.002464378,0.0579874,0.0001645911,0.0860698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1563302,"threshold_uncertainty_score":0.9962205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07391049739538678,"score_gpt":0.3774712152366056,"score_spread":0.3035607178412188,"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."}}