{"id":"W4327575945","doi":"10.12688/f1000research.130991.1","title":"The identification of high-performing antibodies for Secreted frizzled-related protein 1 (sFRP-1) for use in Western Blot and immunoprecipitation","year":2023,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Genentech; Innovative Medicines Initiative; 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; Western blot; Antibody; Biology; Wnt signaling pathway; Frizzled; Blot; Immunology; Molecular biology; Cell biology; Gene; Signal transduction; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002003603,0.0024885,0.0009044902,0.001930231,0.001175114,0.001082342,0.001604163,0.00110892,0.01932358],"category_scores_gemma":[0.002831014,0.0009009311,0.0009456767,0.001417662,0.0006548061,0.0009184491,0.001021453,0.002252835,0.02253836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057656,"about_ca_system_score_gemma":0.0008636354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001523104,"about_ca_topic_score_gemma":0.003797427,"domain_scores_codex":[0.9985389,0.0002419204,0.0002280117,0.0003025583,0.0005127855,0.000175877],"domain_scores_gemma":[0.9986179,0.0003265634,0.0001634777,0.0003142349,0.0004637982,0.0001140722],"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":[0.000148826,0.0000432667,0.000392117,0.0004060766,0.00003104859,0.0001794029,0.00009509642,0.0000952173,0.9733376,0.00102881,0.01061185,0.01363056],"study_design_scores_gemma":[0.00005269301,0.00007541601,0.005537685,0.00007435259,0.00005111655,0.001121025,0.00005318555,0.001118122,0.8928491,0.0004646203,0.09856801,0.00003464331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2243939,0.01422006,0.6188702,0.007129091,0.003078052,0.002527997,0.05174522,0.01796388,0.06007153],"genre_scores_gemma":[0.140143,0.007650622,0.703904,0.001288766,0.0003394255,0.00340717,0.08520869,0.005970864,0.05208743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01932358,"threshold_uncertainty_score":0.06464386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03931388660979182,"score_gpt":0.3358131913428206,"score_spread":0.2964993047330288,"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."}}