{"id":"W4402759664","doi":"10.12688/f1000research.133220.3","title":"The identification of high-performing antibodies for FUS (Uniprot ID: P35637)  for use in western blot, immunoprecipitation, immunofluorescence and flow cytometry","year":2024,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Ontario Genomics; Mitacs; ALS Society of Canada; Motor Neurone Disease Association; ALS Association","keywords":"Immunoprecipitation; Flow cytometry; Immunofluorescence; Western blot; Identification (biology); Antibody; Biology; Immunology; Biochemistry; Botany","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003942391,0.0003203747,0.0006387788,0.0009051198,0.0003202997,0.0005167843,0.0006827322,0.0003637174,0.00001481628],"category_scores_gemma":[0.002313208,0.0002349551,0.0001693042,0.0006030102,0.0005760481,0.0002045077,0.001565361,0.00127364,0.00001649076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003640476,"about_ca_system_score_gemma":0.0005818142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001353183,"about_ca_topic_score_gemma":0.0002214065,"domain_scores_codex":[0.9959513,0.0002016939,0.001131298,0.0008123694,0.001128856,0.0007745142],"domain_scores_gemma":[0.995282,0.001993975,0.0002326237,0.001046026,0.001314571,0.0001307887],"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":[0.008705055,0.0005833458,0.06643581,0.02444247,0.001342922,0.0000362239,0.006573568,0.0004528456,0.7134967,0.001794759,0.003727773,0.1724085],"study_design_scores_gemma":[0.00394802,0.001121154,0.8227826,0.004929881,0.000229299,0.00002404307,0.0007686529,0.1023389,0.04942849,0.01195931,0.001835926,0.0006337914],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812623,0.005462305,0.002095311,0.002837264,0.0004363002,0.00731676,0.0005200846,0.00005640924,0.00001331069],"genre_scores_gemma":[0.9828593,0.005411136,0.004463335,0.00001584038,0.0002343817,0.002732296,0.0004744333,0.0001181931,0.003691145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7563468,"threshold_uncertainty_score":0.958119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05863538052086094,"score_gpt":0.3738371257073795,"score_spread":0.3152017451865186,"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."}}