{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003219516,0.002537861,0.001252091,0.002218803,0.001146795,0.001374408,0.001410411,0.001275414,0.009234037],"category_scores_gemma":[0.00369159,0.0010695,0.001216564,0.001651725,0.0007094294,0.0007953671,0.0009036461,0.002118832,0.01354689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331562,"about_ca_system_score_gemma":0.0009998035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001766328,"about_ca_topic_score_gemma":0.003864584,"domain_scores_codex":[0.9976649,0.0005209295,0.0004042462,0.0003568971,0.0007206031,0.0003324623],"domain_scores_gemma":[0.9975504,0.0004826532,0.0001727848,0.0005766338,0.001086232,0.0001313034],"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":[0.00008918639,0.00005602392,0.0003789438,0.0002392328,0.00002275846,0.00008290362,0.00006888602,0.0001345198,0.9898469,0.0005249059,0.001869438,0.006686227],"study_design_scores_gemma":[0.00005051373,0.0001607241,0.007277152,0.00008064061,0.00009379263,0.0006743349,0.00009621128,0.002033267,0.9151149,0.0004623262,0.0739137,0.00004238004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2332046,0.008207739,0.6903939,0.001877905,0.001527569,0.005222371,0.02275783,0.005050658,0.03175752],"genre_scores_gemma":[0.1350776,0.004999831,0.7631661,0.0009510003,0.0001885614,0.005363499,0.06274214,0.003208641,0.02430271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009234037,"threshold_uncertainty_score":0.03089094,"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."}}