{"id":"W4416660354","doi":"10.5256/f1000research.156691.r228353","title":"Referee report. For: Identification of high-performing antibodies for Apolipoprotein E for use in Western Blot and immunoprecipitation [version 3; peer review: 1 approved, 2 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00457274,0.0001287631,0.0004131768,0.0002387877,0.0002319791,0.00002770333,0.0001953838,0.0001396183,0.000003529699],"category_scores_gemma":[0.00341519,0.00010595,0.0001480811,0.0003100812,0.000233198,0.0002662158,0.00009198317,0.0001254916,0.000004055045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004630182,"about_ca_system_score_gemma":0.00007355714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007095119,"about_ca_topic_score_gemma":0.0002781322,"domain_scores_codex":[0.9982429,0.000192884,0.0005656136,0.0003866813,0.0002888043,0.0003231478],"domain_scores_gemma":[0.995654,0.0004744135,0.0002766612,0.0004621232,0.003112153,0.00002063471],"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":[0.00232617,0.0002779103,0.01467653,0.005446267,0.0006084521,9.868022e-7,0.0008611387,0.00005743797,0.8973511,0.0003925719,0.06347949,0.01452198],"study_design_scores_gemma":[0.008166156,0.001503547,0.3763084,0.004540962,0.0003193118,0.00001343274,0.003209316,0.0002914742,0.3950251,0.0008294997,0.2092489,0.0005438512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869893,0.0026433,0.002688302,0.002525683,0.00005132578,0.003367917,0.00169952,0.00002814269,0.000006543733],"genre_scores_gemma":[0.9462048,0.00267927,0.002067901,0.00001724721,0.00003132566,0.002290067,0.01684257,0.00005117641,0.0298156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.502326,"threshold_uncertainty_score":0.4320515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07845826487662061,"score_gpt":0.3569641237009238,"score_spread":0.2785058588243032,"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."}}