{"id":"W4220720237","doi":"10.5281/zenodo.5903110","title":"Antibody Characterization Report for Neurosecretory protein VGF","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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Antibody; Characterization (materials science); Chemistry; Biology; Immunology; Materials science; Nanotechnology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004952252,0.002048649,0.0008909832,0.002090333,0.00109708,0.0008672275,0.001661737,0.0008835327,0.015595],"category_scores_gemma":[0.0008312232,0.000662651,0.001433033,0.001507548,0.0002846908,0.000888195,0.0005636372,0.001463598,0.01305364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008961637,"about_ca_system_score_gemma":0.0009579413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00248949,"about_ca_topic_score_gemma":0.002777852,"domain_scores_codex":[0.9993194,0.0000571108,0.00009791032,0.0002013574,0.0001403202,0.0001838941],"domain_scores_gemma":[0.9991871,0.0001541604,0.00008961592,0.000122506,0.0003085579,0.0001382468],"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":[0.0001886553,0.0001050532,0.0003823248,0.0004362925,0.00004823345,0.0003260669,0.00006157756,0.00005661948,0.9871903,0.0005862448,0.003569338,0.007049366],"study_design_scores_gemma":[0.0001098852,0.0006527607,0.01273953,0.0001547769,0.0002737163,0.006314636,0.0001830761,0.0009484057,0.7108203,0.0005191158,0.2672152,0.00006865093],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.4771475,0.05428739,0.348491,0.00316073,0.003857259,0.003610424,0.06146809,0.004148779,0.04382879],"genre_scores_gemma":[0.306997,0.04678508,0.175213,0.001954978,0.001222131,0.003288348,0.3946867,0.001353854,0.06849892],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.015595,"threshold_uncertainty_score":0.05217046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02487231341400453,"score_gpt":0.2543226338275601,"score_spread":0.2294503204135556,"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."}}