{"id":"W4376321302","doi":"10.12688/f1000research.132952.1","title":"The identification of high-performing antibodies for Superoxide dismutase [Cu-Zn] 1 (SOD1) for use in Western blot, immunoprecipitation, and immunofluorescence","year":2023,"lang":"en","type":"preprint","venue":"F1000Research","topic":"S100 Proteins and Annexins","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Genentech; Mitacs; Motor Neurone Disease Association; Government of Canada; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Bayer; ALS Society of Canada; Ontario Genomics; Genome Canada; Bristol-Myers Squibb; Pfizer; ALS Association","keywords":"Western blot; Immunoprecipitation; Immunofluorescence; Superoxide dismutase; Antibody; SOD1; Chemistry; Medicine; Immunology; Biology; Biochemistry; Oxidative stress","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":[0.002853763,0.002554029,0.001001718,0.002088758,0.001255065,0.001129498,0.001316654,0.001277005,0.01188922],"category_scores_gemma":[0.003309291,0.001102412,0.0009670675,0.001264179,0.0006151804,0.0009583246,0.0009512283,0.002478301,0.01101564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000921219,"about_ca_system_score_gemma":0.0008831064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009186211,"about_ca_topic_score_gemma":0.00280096,"domain_scores_codex":[0.998033,0.0004277721,0.0003392187,0.0004156186,0.0005545507,0.0002298765],"domain_scores_gemma":[0.9975199,0.0005398584,0.0001904451,0.0005673723,0.0009973338,0.0001849564],"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":[0.0000925367,0.00007181394,0.0004926887,0.0002624361,0.00002139768,0.00009379354,0.00006222647,0.00008177145,0.987345,0.0006343542,0.00258106,0.008260842],"study_design_scores_gemma":[0.00004360469,0.0001560919,0.005075593,0.00008808231,0.00008946582,0.0008028353,0.00005255398,0.001147283,0.9293425,0.0004874691,0.06267978,0.00003461678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2389013,0.01015929,0.6984641,0.002804822,0.001795032,0.002978425,0.01194805,0.007402414,0.02554656],"genre_scores_gemma":[0.1484307,0.006664528,0.7598105,0.001016819,0.0002909118,0.003849731,0.04262727,0.002661057,0.03464844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01188922,"threshold_uncertainty_score":0.0397734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04927090813427621,"score_gpt":0.3451217760037129,"score_spread":0.2958508678694367,"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."}}