{"id":"W4416632664","doi":"10.5256/f1000research.142858.r177143","title":"Referee report. For: The identification of high-performing antibodies for Moesin for use in Western Blot, immunoprecipitation, and immunofluorescence [version 1; peer review: 2 approved with reservations]","year":2023,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Toxin Mechanisms and Immunotoxins","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Genentech; Ontario Genomics; National Institutes of Health; Government of Canada; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Mitacs; Genome Canada; Bayer; Pfizer; Bristol-Myers Squibb","keywords":"Immunofluorescence; Identification (biology); Antibody; Moesin; 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":[0.006803554,0.0001380721,0.0003453406,0.0002605066,0.0004580188,0.000038305,0.0003825744,0.0001440138,0.000009061887],"category_scores_gemma":[0.004951919,0.0000961936,0.00007842344,0.0004284412,0.0003282396,0.0003223279,0.0001346515,0.0002175525,0.000006237565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004946688,"about_ca_system_score_gemma":0.0001146097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008406428,"about_ca_topic_score_gemma":0.000370446,"domain_scores_codex":[0.9980763,0.0001737234,0.0007576372,0.000350793,0.0002649576,0.0003766307],"domain_scores_gemma":[0.9934398,0.001781465,0.0003704433,0.0005725635,0.003822887,0.00001287345],"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":[0.001175217,0.00008739037,0.001998225,0.001041974,0.0001516643,6.007917e-7,0.001064178,0.00001526541,0.9451649,0.0007262743,0.04522699,0.003347309],"study_design_scores_gemma":[0.003907704,0.001237437,0.1141676,0.002631851,0.000119113,0.00001806076,0.003440712,0.0004577246,0.6495631,0.001148083,0.2229851,0.0003235524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671354,0.004508423,0.006263553,0.01490276,0.0002052804,0.005026311,0.001909638,0.00004112008,0.000007529859],"genre_scores_gemma":[0.839691,0.008630811,0.00770671,0.00005270548,0.0000378181,0.002498277,0.01213846,0.00008161869,0.1291626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2956018,"threshold_uncertainty_score":0.5928268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06890991913986805,"score_gpt":0.3611044894922271,"score_spread":0.292194570352359,"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."}}