{"id":"W4416610070","doi":"10.5256/f1000research.155278.r202703","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: 1 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004349081,0.0008630842,0.001287081,0.002991519,0.002647706,0.001980538,0.00246832,0.003631838,0.5999807],"category_scores_gemma":[0.0369241,0.0005587398,0.001057412,0.002367083,0.0006566803,0.00179174,0.002425195,0.002636093,0.3299378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003265855,"about_ca_system_score_gemma":0.003491394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02222533,"about_ca_topic_score_gemma":0.03775735,"domain_scores_codex":[0.9972301,0.0003691784,0.0003156196,0.0003945648,0.001477102,0.0002133883],"domain_scores_gemma":[0.971032,0.004349856,0.0005416879,0.001818131,0.02107402,0.001184387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001688465,0.00001825631,0.00005096413,0.00005878211,0.000002972495,0.0000402435,0.00001740473,0.00001088004,0.000298637,0.0003351398,0.9938787,0.00527123],"study_design_scores_gemma":[0.00002396198,0.00001707994,0.001065062,0.0000526212,0.000008281891,0.00010437,0.00006362728,0.00007052146,0.0006155311,0.001060183,0.9968919,0.00002696794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.001895725,0.004737405,0.01317024,0.2673849,0.3728584,0.002973086,0.08224238,0.00917503,0.2455629],"genre_scores_gemma":[0.007460959,0.002781811,0.007641908,0.03548721,0.02621031,0.001092224,0.02353695,0.002100354,0.8936884],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5999807,"threshold_uncertainty_score":0.5705791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07546286737185531,"score_gpt":0.3778775584135601,"score_spread":0.3024146910417048,"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."}}