{"id":"W6968059799","doi":"10.5256/f1000research.154210.r220232","title":"Referee report. For: Identification of high-performing antibodies for Moesin for use in Western Blot, immunoprecipitation, and immunofluorescence [version 2; peer review: 3 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; 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":[0.005674541,0.0001539645,0.0004274056,0.0003906738,0.0003352989,0.00003446335,0.0003213198,0.0001786195,0.000009885145],"category_scores_gemma":[0.004565484,0.0001290939,0.00008100636,0.0004526027,0.0002758426,0.0004056898,0.0001284482,0.0002079802,0.00000774477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006211516,"about_ca_system_score_gemma":0.0001292139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007044258,"about_ca_topic_score_gemma":0.0003042669,"domain_scores_codex":[0.9979054,0.0001725204,0.0008130657,0.0004167695,0.0002716193,0.0004206112],"domain_scores_gemma":[0.9936206,0.001031792,0.0003812395,0.0005241651,0.004424597,0.00001763699],"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":[0.001219103,0.0001056888,0.002662408,0.001459076,0.0001127901,8.287064e-7,0.0008147269,0.000009121594,0.9561625,0.0005770115,0.03461908,0.002257741],"study_design_scores_gemma":[0.004321419,0.001458287,0.0945712,0.003216076,0.00008397709,0.00001687137,0.002113209,0.0002519531,0.7617571,0.001241031,0.1306177,0.000351234],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819058,0.002072197,0.004333495,0.006023671,0.0001465837,0.003546595,0.001924142,0.00003972,0.000007781729],"genre_scores_gemma":[0.8210021,0.005329807,0.0143973,0.00003968929,0.00003355631,0.002084996,0.02173038,0.0000925731,0.1352896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1944053,"threshold_uncertainty_score":0.5465641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06742408109369794,"score_gpt":0.3621948928760227,"score_spread":0.2947708117823248,"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."}}