{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001572419,0.0001965603,0.0002404612,0.0001432611,0.0002549115,0.0002082065,0.0005139678,0.0002342187,0.000001085154],"category_scores_gemma":[0.001092593,0.0001609087,0.0001117711,0.0001005992,0.0002754006,0.00001596005,0.0007244067,0.0002174067,0.000001808887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002687907,"about_ca_system_score_gemma":0.0001685598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073585,"about_ca_topic_score_gemma":0.0009472923,"domain_scores_codex":[0.9981466,0.0001052464,0.0005926204,0.0005370408,0.0002340846,0.0003844292],"domain_scores_gemma":[0.9982533,0.0003791101,0.0001804238,0.0006662482,0.0004774673,0.00004346676],"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":[0.0007317564,0.00008036609,0.01778996,0.0006652757,0.0001376017,0.000001172092,0.0004226836,0.000204968,0.9720542,0.0003342803,0.0008893555,0.00668833],"study_design_scores_gemma":[0.001336848,0.0004632388,0.1358931,0.0004022566,0.00004009222,0.000002604609,0.0008700877,0.002689393,0.851027,0.003114242,0.003731393,0.0004297361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906988,0.002162746,0.003749877,0.0003653164,0.0002305781,0.002004843,0.0007729947,0.00001326614,0.000001632528],"genre_scores_gemma":[0.9895586,0.004284244,0.001309074,0.00001089249,0.0001476196,0.00134806,0.001308189,0.00006405154,0.001969274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1210272,"threshold_uncertainty_score":0.6561668,"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."}}