{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007795766,0.0001315669,0.000382135,0.0003237867,0.0003108714,0.00004038361,0.0002502315,0.0000818839,0.000005022549],"category_scores_gemma":[0.007338128,0.000083179,0.00009381364,0.0006081263,0.0003530132,0.0002633643,0.0001340426,0.000242114,0.000003087123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006495424,"about_ca_system_score_gemma":0.0002142121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001254541,"about_ca_topic_score_gemma":0.0003575409,"domain_scores_codex":[0.9969985,0.0001090483,0.0007452734,0.0003604991,0.00139409,0.0003925893],"domain_scores_gemma":[0.9897438,0.002446601,0.0002606823,0.000477485,0.007016454,0.00005500151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01873286,0.0005024886,0.1439646,0.02934816,0.0005566773,0.00001707846,0.002851061,0.00005921101,0.5819116,0.001286178,0.1962715,0.02449853],"study_design_scores_gemma":[0.004658028,0.002614038,0.6004623,0.008005565,0.0001813434,0.00004005482,0.002567997,0.009909362,0.1654512,0.0006412967,0.20513,0.000338777],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404243,0.001466315,0.0007928071,0.05053965,0.00004452726,0.005596467,0.001093766,0.00002103696,0.00002109659],"genre_scores_gemma":[0.6727125,0.01501284,0.01620349,0.00008727754,0.0001877079,0.00368915,0.01595246,0.0001004335,0.2760541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4564976,"threshold_uncertainty_score":0.8784955,"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."}}