{"id":"W4312010338","doi":"10.5281/zenodo.7459541","title":"Antibody Characterization Report for Ubiquilin-2","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ubiquitin and proteasome pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Antibody; Characterization (materials science); Computer science; Computational biology; Biology; Immunology; Materials science; Nanotechnology","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":[0.001159746,0.001600621,0.0009048777,0.001815519,0.001221212,0.0009674242,0.001276495,0.0009243269,0.01950594],"category_scores_gemma":[0.002455901,0.0007442279,0.0008245827,0.001112712,0.0003046583,0.0006975453,0.0009173392,0.001776758,0.02451171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006065701,"about_ca_system_score_gemma":0.0009268271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001503428,"about_ca_topic_score_gemma":0.002375087,"domain_scores_codex":[0.9987394,0.0001757715,0.0001765539,0.0003311547,0.0003578622,0.0002192539],"domain_scores_gemma":[0.997996,0.0002677431,0.0001065547,0.0003750114,0.001001993,0.0002527084],"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":[0.0002268224,0.00009826577,0.0005098741,0.0006041212,0.00006948988,0.0003841717,0.0001571799,0.0001317885,0.9686067,0.0009176259,0.01250235,0.01579173],"study_design_scores_gemma":[0.0001234856,0.0004386392,0.005789411,0.0001884214,0.0001861979,0.003947488,0.0001344963,0.001352249,0.5081627,0.0006878073,0.4789119,0.00007713151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.283094,0.0395374,0.5165253,0.004960407,0.006078901,0.006584736,0.07374071,0.004199919,0.06527871],"genre_scores_gemma":[0.2440075,0.0271808,0.249962,0.002823623,0.001270217,0.005252194,0.3477123,0.002324596,0.1194668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01950594,"threshold_uncertainty_score":0.06525391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633870426784682,"score_gpt":0.2659857198891712,"score_spread":0.2396470156213244,"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."}}