{"id":"W4389551065","doi":"10.12688/f1000research.143928.1","title":"Identification of high-performing antibodies for Rab1A and Rab1B for use in Western Blot, immunoprecipitation and immunofluorescence","year":2023,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Cellular transport and secretion","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Government of Canada; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Mitacs; Ontario Genomics; Genome Canada; Genentech; Bayer; Pfizer; Bristol-Myers Squibb","keywords":"Golgi apparatus; Western blot; Immunoprecipitation; Antibody; Immunofluorescence; Biology; Endoplasmic reticulum; Cell biology; GTPase; Gene isoform; Blot; Immunology; Gene; Biochemistry","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":[0.0009054355,0.000146399,0.0002252943,0.0001901988,0.00007735378,0.00007529864,0.0001603798,0.0002601607,9.417512e-7],"category_scores_gemma":[0.0001825701,0.0001564254,0.00006354725,0.00006096708,0.0001387741,0.00001308595,0.0001999112,0.0001462073,4.49004e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001534527,"about_ca_system_score_gemma":0.00007245522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004200558,"about_ca_topic_score_gemma":0.0004517956,"domain_scores_codex":[0.9987171,0.00004836218,0.0004024308,0.000457345,0.0001563085,0.0002184741],"domain_scores_gemma":[0.9991543,0.0001105576,0.000128033,0.000302924,0.0002715935,0.00003257687],"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":[0.0005196183,0.00002848608,0.03595295,0.0009502011,0.00004900394,5.570583e-7,0.0003386386,0.00007894395,0.9599457,0.00005040736,0.00002351297,0.002061985],"study_design_scores_gemma":[0.001669891,0.0003500495,0.3571529,0.0003819664,0.00005652141,0.000002328601,0.0002853563,0.005042659,0.6324958,0.001389044,0.0008256339,0.0003478444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698067,0.001633125,0.02670224,0.00008523848,0.0001560084,0.001334567,0.0002717882,0.000009371159,0.000001017366],"genre_scores_gemma":[0.9858848,0.004838957,0.001130995,0.000003544078,0.00007246787,0.0003365261,0.00698482,0.00004038667,0.0007074391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3274499,"threshold_uncertainty_score":0.6378844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04622431068204498,"score_gpt":0.3258503832681999,"score_spread":0.2796260725861549,"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."}}