{"id":"W4416640559","doi":"10.5256/f1000research.168592.r315013","title":"Referee report. For: A guide to selecting high-performing antibodies for Huntingtin (UniProt ID: P42858) for use in western blot, immunoprecipitation, and immunofluorescence [version 1; peer review: 2 approved]","year":2024,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Mitacs; Government of Canada; Ontario Genomics; Genome Canada","keywords":"Immunofluorescence; Antibody; Huntingtin; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006349304,0.001152024,0.001505384,0.004906432,0.002922863,0.003093956,0.003341316,0.00365542,0.7304372],"category_scores_gemma":[0.05518787,0.0008989122,0.00136429,0.003511635,0.0007703336,0.002633443,0.003832445,0.003071939,0.5939462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002206289,"about_ca_system_score_gemma":0.004743918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01626795,"about_ca_topic_score_gemma":0.0353978,"domain_scores_codex":[0.9958192,0.0007102569,0.0006016099,0.0004909686,0.002068771,0.0003091885],"domain_scores_gemma":[0.9442531,0.007267624,0.001084096,0.003865846,0.04113847,0.002390813],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007516996,0.000009603572,0.00002642231,0.0000711137,0.000001464818,0.00002094267,0.00001532194,0.000006677287,0.000172902,0.0001353898,0.9928283,0.006704371],"study_design_scores_gemma":[0.0000143507,0.00001043097,0.0004962092,0.0001065411,0.000005234807,0.00008273929,0.00007466137,0.00003100629,0.0002836672,0.0006679805,0.9982055,0.00002169631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.001254039,0.005675186,0.02749817,0.1530499,0.3065971,0.004857008,0.1894206,0.02033816,0.2913098],"genre_scores_gemma":[0.003365091,0.003574563,0.01649212,0.02624066,0.02243466,0.002421662,0.0511235,0.007029049,0.8673186],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9936507,"threshold_uncertainty_score":0.3844987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08585563132364424,"score_gpt":0.4099042134806287,"score_spread":0.3240485821569844,"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."}}