{"id":"W4416639802","doi":"10.5256/f1000research.145562.r247622","title":"Referee report. For: The identification of high-performing antibodies for Sequestosome-1 for use in Western blot, immunoprecipitation and immunofluorescence [version 1; peer review: 1 approved, 1 approved with reservations]","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":"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; Identification (biology); Antibody; Monoclonal 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":[0.00680478,0.000164593,0.0004198548,0.0003366671,0.0002639774,0.00009117874,0.0002652544,0.00009946652,0.000006745366],"category_scores_gemma":[0.004633699,0.0001031523,0.0001201138,0.0004879881,0.0004192118,0.0004071212,0.0001261629,0.0003400164,0.000002226257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001108039,"about_ca_system_score_gemma":0.0003000508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002020973,"about_ca_topic_score_gemma":0.0004046519,"domain_scores_codex":[0.996842,0.0001153779,0.0008039555,0.0004535515,0.00139327,0.0003918496],"domain_scores_gemma":[0.9912999,0.002238852,0.0001966347,0.0005078717,0.005692325,0.00006447757],"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":[0.01659346,0.0006296475,0.03611138,0.06166498,0.0009894151,0.00003399494,0.003889412,0.00005392019,0.6484805,0.003988414,0.174878,0.05268691],"study_design_scores_gemma":[0.004210322,0.003646384,0.1492769,0.02117545,0.0003458507,0.0001496134,0.002212858,0.01880098,0.1410333,0.001383664,0.6572291,0.0005356294],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8922572,0.01327718,0.005428107,0.07880446,0.000117728,0.008048905,0.001965949,0.00003845778,0.00006198983],"genre_scores_gemma":[0.7442636,0.01801034,0.02289939,0.0001036564,0.0002616506,0.002983753,0.009965993,0.0001211343,0.2013904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5074472,"threshold_uncertainty_score":0.5547305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09479813789126448,"score_gpt":0.4064691981680716,"score_spread":0.3116710602768071,"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."}}