{"id":"W4386325558","doi":"10.12688/f1000research.132952.2","title":"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":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; 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; SOD1; Neurodegeneration; Antibody; Superoxide dismutase; Biology; Immunoprecipitation; Immunofluorescence; Molecular biology; Amyotrophic lateral sclerosis; Oxidative stress; Immunology; Medicine; Gene; Genetics; Biochemistry; Pathology","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":[0.003146706,0.003558806,0.001468698,0.002558283,0.001474403,0.001329126,0.001543097,0.00147662,0.01166111],"category_scores_gemma":[0.003444887,0.001397512,0.001368011,0.001523627,0.0005817603,0.001067688,0.000991444,0.002589989,0.01215513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009815121,"about_ca_system_score_gemma":0.0008161176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007573395,"about_ca_topic_score_gemma":0.002298572,"domain_scores_codex":[0.9972681,0.0005879749,0.0005724733,0.000555122,0.0006587098,0.0003577337],"domain_scores_gemma":[0.9969926,0.0006515625,0.0002383113,0.0006463793,0.001238888,0.0002323151],"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":[0.0001328488,0.0001109318,0.0005382649,0.0003674213,0.00003566725,0.0001077325,0.00006869176,0.0001010377,0.9876496,0.0004227598,0.002836495,0.007628608],"study_design_scores_gemma":[0.00008201441,0.0003226354,0.007188787,0.0001629531,0.000194885,0.00108908,0.00007718704,0.001562471,0.9132946,0.0004521325,0.0755162,0.00005707744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2899153,0.01514126,0.6346335,0.003074532,0.002038574,0.004731598,0.01664244,0.007898638,0.02592415],"genre_scores_gemma":[0.1421614,0.008810981,0.7534622,0.001398199,0.0003980526,0.006057987,0.05978073,0.002782179,0.02514825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01166111,"threshold_uncertainty_score":0.03901029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09753846487308164,"score_gpt":0.3840156451767812,"score_spread":0.2864771803036995,"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."}}