{"id":"W4416654227","doi":"10.5256/f1000research.144167.r183540","title":"Referee report. For: The identification of high-performing antibodies for transmembrane protein 106B (TMEM106B) for use in Western blot, immunoprecipitation, and immunofluorescence [version 1; peer review: 1 approved, 2 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; Mitacs; Government of Canada; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Ontario Genomics; Genome Canada; ALS Society of Canada; Bayer; Motor Neurone Disease Association; Pfizer; Bristol-Myers Squibb","keywords":"Immunofluorescence; Antibody; Identification (biology); Transmembrane protein; Cricetulus; Antibody therapy","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":[0.005316384,0.0008398036,0.001354873,0.002621199,0.003181744,0.002591333,0.002689043,0.005687678,0.5302241],"category_scores_gemma":[0.05848495,0.0005287005,0.001109437,0.001987047,0.0006929124,0.002023156,0.002321676,0.0036718,0.3407792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003133027,"about_ca_system_score_gemma":0.004603024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02365334,"about_ca_topic_score_gemma":0.03617184,"domain_scores_codex":[0.9960607,0.0005227502,0.0004814005,0.0005170235,0.002127382,0.0002907859],"domain_scores_gemma":[0.9424498,0.007857665,0.0008723041,0.003037095,0.04380656,0.001976615],"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":[0.00001178518,0.00001242256,0.00004190958,0.00004315882,0.000002186166,0.00004771226,0.00001558306,0.000006826594,0.00018725,0.0002788876,0.9953381,0.004014191],"study_design_scores_gemma":[0.00002028668,0.0000149196,0.0008903234,0.00007525042,0.000008562319,0.0001524504,0.00008839607,0.00006692822,0.0004055051,0.0009537449,0.9972963,0.00002728172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.001294613,0.003712722,0.008769196,0.3009964,0.4285753,0.002430859,0.04308539,0.006706206,0.2044294],"genre_scores_gemma":[0.006339802,0.002319742,0.006343585,0.05544669,0.03523562,0.001060382,0.01382099,0.001998055,0.877435],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9946836,"threshold_uncertainty_score":0.6700783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08977791704920979,"score_gpt":0.3908751944949849,"score_spread":0.3010972774457751,"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."}}