{"id":"W3210904702","doi":"10.5281/zenodo.5259945","title":"Antibody Characterization Report for RNA-binding protein FUS","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Computational biology; Characterization (materials science); RNA; RNA-binding protein; Antibody; Chemistry; Molecular biology; Biology; Biochemistry; Genetics; Nanotechnology; Gene; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001099176,0.00140769,0.0008830033,0.001850221,0.001168679,0.0008259974,0.001046829,0.001015209,0.01783409],"category_scores_gemma":[0.00214521,0.0005937766,0.00104923,0.001350806,0.0003120051,0.0006403243,0.0008093602,0.001764683,0.02046799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006408649,"about_ca_system_score_gemma":0.0009734181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001628017,"about_ca_topic_score_gemma":0.002115566,"domain_scores_codex":[0.9988348,0.0001423899,0.0001473951,0.000284257,0.0003865873,0.0002046011],"domain_scores_gemma":[0.998334,0.0002826947,0.00009609017,0.0002861108,0.0008051322,0.0001960177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001566843,0.00008994174,0.0003036287,0.0003166031,0.00005038514,0.0003278134,0.0001295271,0.0001147023,0.981135,0.0006128889,0.006930875,0.00983189],"study_design_scores_gemma":[0.00009142308,0.0004320426,0.005196655,0.0001082181,0.0002025046,0.003518089,0.0001579942,0.00137994,0.6748669,0.0006164894,0.3133663,0.00006349298],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.3236201,0.02089661,0.5136891,0.003769558,0.003793638,0.005136018,0.07010449,0.003959881,0.05503058],"genre_scores_gemma":[0.3013013,0.02168294,0.2666396,0.002227676,0.001052956,0.004080143,0.3205018,0.002003051,0.08051047],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01783409,"threshold_uncertainty_score":0.05966097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240395692685248,"score_gpt":0.2723265190688796,"score_spread":0.2499225621420271,"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."}}