{"id":"W6910983532","doi":"10.5256/f1000research.145159.r168349","title":"Referee report. For: The identification of high-performing antibodies for Profilin-1 for use in Western blot, immunoprecipitation and immunofluorescence [version 1; peer review: 1 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; 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; Indirect immunofluorescence; Monoclonal antibody","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":[0.006587172,0.0009067536,0.001406131,0.002972137,0.003598535,0.003264911,0.002605873,0.006799602,0.448622],"category_scores_gemma":[0.08428422,0.0005740416,0.001215922,0.002303621,0.0007957648,0.002246,0.002497301,0.004662128,0.2990205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003406852,"about_ca_system_score_gemma":0.005409932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02494624,"about_ca_topic_score_gemma":0.03814637,"domain_scores_codex":[0.994805,0.0006823472,0.0006440221,0.0006153577,0.002884239,0.0003689332],"domain_scores_gemma":[0.8999304,0.01273518,0.001426905,0.004309117,0.07875308,0.00284531],"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":[0.000008982582,0.000009746875,0.00003745721,0.00003823345,0.000001906145,0.00004729358,0.00001556652,0.00000640582,0.0001303991,0.0002213948,0.9962381,0.003244469],"study_design_scores_gemma":[0.00002002036,0.00001662344,0.0010101,0.0001084821,0.00001037111,0.0001753726,0.0001412697,0.0000848888,0.0003772598,0.001037566,0.9969816,0.00003641313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.001090239,0.003381894,0.006565737,0.3548492,0.4561632,0.002148153,0.02810899,0.005628054,0.1420646],"genre_scores_gemma":[0.006448329,0.002524409,0.005791813,0.08407653,0.04986067,0.001282007,0.01011406,0.001904811,0.8379973],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9934129,"threshold_uncertainty_score":0.7864738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.114091866590142,"score_gpt":0.4167977692117613,"score_spread":0.3027059026216192,"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."}}