{"id":"W4320486748","doi":"10.12688/f1000research.130126.1","title":"The identification of high-performing antibodies for Moesin for use in Western Blot, immunoprecipitation, and immunofluorescence","year":2023,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Mitacs; National Institutes of Health; Ontario Genomics; Genome Canada","keywords":"Moesin; Immunoprecipitation; Western blot; Immunofluorescence; Antibody; Cytoskeleton; Cell biology; Blot; Actin cytoskeleton; Biology; Radixin; Virology; Ezrin; Molecular biology; Immunology; Cell; Genetics; Gene","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":[0.003779691,0.002524884,0.001156124,0.002403801,0.001355316,0.001427207,0.001615916,0.001363631,0.01303976],"category_scores_gemma":[0.004382093,0.001281196,0.001045926,0.001504653,0.0007393383,0.001076896,0.001266964,0.002533443,0.01650969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001325913,"about_ca_system_score_gemma":0.001098839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001461812,"about_ca_topic_score_gemma":0.003843367,"domain_scores_codex":[0.9975187,0.0004411936,0.0004533989,0.0004416611,0.0008302335,0.0003148426],"domain_scores_gemma":[0.9971219,0.0004747131,0.0002366201,0.0006545164,0.001304572,0.0002077082],"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":[0.0001134915,0.00005397332,0.0003337261,0.0002956277,0.00002045981,0.00009412969,0.00009450028,0.00008487704,0.9859292,0.0009336307,0.003570475,0.008475855],"study_design_scores_gemma":[0.00004405306,0.0001322032,0.00477702,0.0001217349,0.00006649772,0.0007773318,0.00007273479,0.001239114,0.9030643,0.0005235454,0.0891427,0.00003871589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2090512,0.008995994,0.7153751,0.00275362,0.001807556,0.003597929,0.01961601,0.008247063,0.03055556],"genre_scores_gemma":[0.1232958,0.00591665,0.7773536,0.001036675,0.0002566557,0.004835659,0.05021379,0.004738973,0.03235232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01303976,"threshold_uncertainty_score":0.04362237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05407612481187787,"score_gpt":0.3541850419011253,"score_spread":0.3001089170892474,"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."}}