{"id":"W4416657586","doi":"10.5256/f1000research.157173.r234849","title":"Referee report. For: Identification of high-performing antibodies for Vacuolar protein sorting-associated protein 35 (hVPS35) for use in Western Blot, immunoprecipitation and immunofluorescence [version 2; peer review: 2 approved]","year":2024,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Genentech; Government of Canada; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Bayer; Pfizer; Bristol-Myers Squibb; Mitacs; Ontario Genomics; Genome Canada; Michael J. Fox Foundation for Parkinson's Research","keywords":"Immunoprecipitation; Immunofluorescence; Antibody; Identification (biology); Blot; Western blot; Subcellular localization","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":[0.008798832,0.0002173125,0.0006374443,0.0004676925,0.0002340416,0.00009353551,0.000248743,0.0001853916,0.00001080398],"category_scores_gemma":[0.009669038,0.0001769527,0.0002093317,0.0004764735,0.0002629518,0.0004223899,0.0001598727,0.0004399736,0.000004249609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050767,"about_ca_system_score_gemma":0.0003521495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001863882,"about_ca_topic_score_gemma":0.0002666203,"domain_scores_codex":[0.9958134,0.0001899201,0.001209087,0.0005943974,0.001608796,0.0005844479],"domain_scores_gemma":[0.9932156,0.0007336431,0.0003446713,0.0003938626,0.005213231,0.00009904494],"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":[0.002960073,0.0003569586,0.005788462,0.0271378,0.0002651409,0.00001837051,0.000757959,0.000002481048,0.9352521,0.0005602339,0.01262177,0.0142786],"study_design_scores_gemma":[0.005068953,0.004104416,0.06628636,0.04264817,0.0002371094,0.00004858083,0.0008231699,0.007273196,0.7477061,0.002423442,0.1227308,0.0006497249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728821,0.004780739,0.0007901502,0.01188203,0.00005425332,0.008308426,0.001238778,0.00003559312,0.00002792186],"genre_scores_gemma":[0.8729169,0.001999313,0.007474011,0.00002229727,0.000111507,0.002364309,0.006676654,0.00008125068,0.1083537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.187546,"threshold_uncertainty_score":0.998673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06849580166208004,"score_gpt":0.3994467008859696,"score_spread":0.3309508992238895,"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."}}