{"id":"W4416613601","doi":"10.5256/f1000research.146471.r184169","title":"Referee report. For: The identification of high-performing antibodies for Coiled-coil-helix-coiled-coil-helix domain containing protein 10 (CHCHD10) for use in Western Blot, immunoprecipitation and immunofluorescence [version 1; peer review: 1 approved, 1 approved with reservations]","year":2023,"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":"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":"Immunoprecipitation; Immunofluorescence; Antibody; Identification (biology); Domain (mathematical analysis); HEK 293 cells","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":[0.01270817,0.000310229,0.0008016231,0.0005455982,0.0006483067,0.0001145496,0.0005060331,0.000189212,0.00002022338],"category_scores_gemma":[0.01176826,0.0002142442,0.0001935376,0.0009616315,0.0006599638,0.0005335917,0.0002830638,0.0005295184,0.00001066596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001681398,"about_ca_system_score_gemma":0.0004252404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003180577,"about_ca_topic_score_gemma":0.001051524,"domain_scores_codex":[0.9944777,0.0002972194,0.001437953,0.0007330938,0.002255522,0.0007985018],"domain_scores_gemma":[0.9851004,0.002960494,0.0006464943,0.0008546793,0.01030955,0.000128334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.03686141,0.000677888,0.02890822,0.02433361,0.0008073309,0.00004391701,0.004430724,0.00008366215,0.7855945,0.00128315,0.09364571,0.02332986],"study_design_scores_gemma":[0.01800274,0.009021144,0.2504848,0.02769266,0.0004336819,0.0001470904,0.01351716,0.01875556,0.2267134,0.002116512,0.4317716,0.001343723],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487262,0.001796095,0.001291975,0.0373103,0.00005753146,0.009150659,0.001554909,0.00004928149,0.00006300862],"genre_scores_gemma":[0.7073798,0.00693526,0.02271497,0.000161786,0.0003096576,0.009193489,0.01744129,0.0002153394,0.2356484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5588812,"threshold_uncertainty_score":0.996556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08556049456937136,"score_gpt":0.3896617367678882,"score_spread":0.3041012421985168,"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."}}