{"id":"W4416662107","doi":"10.5256/f1000research.153492.r201058","title":"Referee report. For: The identification of high-performing antibodies for Apolipoprotein E for use in Western Blot and immunoprecipitation [version 2; peer review: 1 approved, 1 approved with reservations]","year":2023,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Genentech; Government of Canada; Ontario Genomics Institute; Emory University; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Mitacs; Ontario Genomics; Genome Canada; Bristol-Myers Squibb; Bayer; Pfizer","keywords":"Immunoprecipitation; Antibody; Identification (biology); Western blot; Blot; Apolipoprotein E","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":[0.007397445,0.0009256808,0.001524882,0.003239484,0.003728182,0.003306372,0.002729252,0.006500262,0.4749709],"category_scores_gemma":[0.09257868,0.0006609103,0.001376887,0.002487805,0.0008609971,0.002261565,0.002659392,0.004725693,0.3312907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003459933,"about_ca_system_score_gemma":0.005124349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02862685,"about_ca_topic_score_gemma":0.03965335,"domain_scores_codex":[0.9942476,0.000843903,0.0007512875,0.0006964056,0.003055955,0.000404767],"domain_scores_gemma":[0.8836273,0.01515605,0.001847513,0.005989995,0.08983678,0.003542474],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001014395,0.00001267108,0.0000409237,0.00003994247,0.000002243812,0.00003685559,0.00001608822,0.000005891694,0.0001523005,0.0001833055,0.9965618,0.002937944],"study_design_scores_gemma":[0.0000253964,0.00001829967,0.001336664,0.0001027314,0.00001141024,0.0001623728,0.0001292218,0.00008559361,0.0004930673,0.001016953,0.9965757,0.00004267382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.001156695,0.003012401,0.00823871,0.3286949,0.4759836,0.002254516,0.04564687,0.007419278,0.1275931],"genre_scores_gemma":[0.006844308,0.002416288,0.007207374,0.08255273,0.05214802,0.001504885,0.01769195,0.002898053,0.8267364],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9926025,"threshold_uncertainty_score":0.7488903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08285252196130624,"score_gpt":0.3564027963724331,"score_spread":0.2735502744111269,"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."}}