{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004577164,0.0007576603,0.001207772,0.002829148,0.002929253,0.002155914,0.00220721,0.004037884,0.5699655],"category_scores_gemma":[0.04961177,0.0004804335,0.0009776708,0.002131305,0.0006273794,0.001926151,0.002321459,0.002952022,0.3022316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00304483,"about_ca_system_score_gemma":0.003562118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02660926,"about_ca_topic_score_gemma":0.04077293,"domain_scores_codex":[0.9969078,0.0004316108,0.0003701434,0.0004093402,0.001645418,0.0002355787],"domain_scores_gemma":[0.9535466,0.007240493,0.0006906338,0.002268659,0.03459138,0.001662113],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001447388,0.00001329625,0.00005519167,0.00004380652,0.000002485688,0.00004823131,0.00002086112,0.000008750581,0.0001911679,0.0002926569,0.9945851,0.004724028],"study_design_scores_gemma":[0.0000222344,0.00001564737,0.001244274,0.00006474816,0.000008490342,0.0001417467,0.0001081504,0.00007585524,0.000409198,0.001049065,0.9968323,0.00002831385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.001725064,0.003686933,0.009071126,0.3217126,0.3786202,0.002491655,0.05444525,0.006795499,0.2214515],"genre_scores_gemma":[0.008511666,0.002225956,0.006678291,0.04867946,0.03187985,0.0009141022,0.01503273,0.002107957,0.8839701],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9954228,"threshold_uncertainty_score":0.6133919,"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."}}