{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004328044,0.0008617764,0.001284553,0.002985168,0.00264321,0.001984373,0.002450219,0.00360767,0.6012603],"category_scores_gemma":[0.03669482,0.0005617504,0.001051741,0.002370228,0.0006526237,0.001795233,0.002411815,0.002624104,0.3316929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003241942,"about_ca_system_score_gemma":0.003485171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02187083,"about_ca_topic_score_gemma":0.03701624,"domain_scores_codex":[0.9972409,0.0003664239,0.0003148195,0.0003964845,0.001468278,0.0002131022],"domain_scores_gemma":[0.9711958,0.004292243,0.0005407263,0.001833282,0.02095836,0.00117964],"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":[0.00001715997,0.00001849319,0.0000519837,0.00005807447,0.000003024259,0.00004035958,0.0000173729,0.00001103724,0.0003043697,0.0003348972,0.9938552,0.005288058],"study_design_scores_gemma":[0.00002468012,0.00001745579,0.001086047,0.0000524347,0.000008411784,0.0001055052,0.00006344338,0.00007224376,0.0006332769,0.001070447,0.9968387,0.00002732116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.001942336,0.00466794,0.01336131,0.2652126,0.3715176,0.003020111,0.08370671,0.009291825,0.2472796],"genre_scores_gemma":[0.007506483,0.002719721,0.007596496,0.03501599,0.02591862,0.001097839,0.02378066,0.002115116,0.8942491],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6012603,"threshold_uncertainty_score":0.5687538,"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."}}