{"id":"W4416603446","doi":"10.5256/f1000research.144734.r173282","title":"Referee report. For: The identification of high-preforming antibodies for Ubiquilin-2 for use in Western Blot, immunoprecipitation, and immunofluorescence [version 1; peer review: 1 approved]","year":2023,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Ubiquitin and proteasome pathways","field":"Biochemistry, Genetics and Molecular Biology","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; Identification (biology); Antibody; 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":[],"consensus_categories":[],"category_scores_codex":[0.005418596,0.0001026027,0.0002025189,0.000100736,0.000164411,0.00002993268,0.0002975813,0.0001059006,0.000001591468],"category_scores_gemma":[0.004958696,0.00007753848,0.00009465639,0.000176394,0.0001712419,0.00002147019,0.0001754501,0.00009136412,0.00000155713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002037721,"about_ca_system_score_gemma":0.00008802526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002358412,"about_ca_topic_score_gemma":0.0001559609,"domain_scores_codex":[0.9983757,0.00009207904,0.0005306865,0.0003202859,0.0004124246,0.0002688073],"domain_scores_gemma":[0.9962071,0.0003607364,0.0002335405,0.0004602458,0.002710218,0.00002813932],"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":[0.0004354359,0.00003732116,0.001470564,0.001603382,0.00005057201,3.985691e-7,0.0002781389,0.00001014719,0.9673769,0.00008780291,0.02362447,0.00502485],"study_design_scores_gemma":[0.0008038807,0.000371834,0.0111245,0.0005094879,0.00002234569,0.000003789955,0.0004434653,0.0003214983,0.822388,0.0003406429,0.1635501,0.0001204311],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98199,0.00369172,0.002989949,0.00622168,0.0000902928,0.003234689,0.001752268,0.00001242859,0.00001691759],"genre_scores_gemma":[0.9367773,0.01121432,0.004364556,0.00005111114,0.0001324149,0.001533661,0.01068413,0.00005384531,0.03518865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1449889,"threshold_uncertainty_score":0.5936381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06951730187943153,"score_gpt":0.3799372533053639,"score_spread":0.3104199514259324,"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."}}