{"id":"W4220841928","doi":"10.5281/zenodo.5903684","title":"Antibody Characterization Report for Annexin A11","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"S100 Proteins and Annexins","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; Annexin; Molecular biology; Chemistry; Computational biology; Medicine; Biology; Immunology","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":[0.000560392,0.001030125,0.0004917814,0.001437456,0.001022046,0.0007969551,0.0009179111,0.000901174,0.02224172],"category_scores_gemma":[0.001172361,0.0005603945,0.000718786,0.001230559,0.0002127745,0.0006360039,0.0005008352,0.00168896,0.01796278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007616276,"about_ca_system_score_gemma":0.00112131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002257142,"about_ca_topic_score_gemma":0.003057844,"domain_scores_codex":[0.999353,0.00009591225,0.00009325107,0.00017218,0.0001622806,0.0001234065],"domain_scores_gemma":[0.998952,0.0002617709,0.00007580681,0.0001573803,0.000391361,0.0001616786],"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":[0.0001628244,0.0001163133,0.0002268181,0.0002134523,0.00002133488,0.0002146186,0.00005390757,0.0001149505,0.9859659,0.0008479267,0.003857755,0.008204202],"study_design_scores_gemma":[0.0001494367,0.0005674097,0.006473534,0.00009542496,0.00009851051,0.003365874,0.0001390862,0.001646063,0.6350281,0.0009700577,0.351413,0.00005347012],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.3526267,0.02045862,0.5002029,0.00442139,0.002985432,0.006378726,0.04728834,0.002314754,0.06332306],"genre_scores_gemma":[0.3493835,0.03003256,0.2398602,0.002997739,0.0008062855,0.004251134,0.2427542,0.001016533,0.1288978],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02224172,"threshold_uncertainty_score":0.07440591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224598776545981,"score_gpt":0.2629888064011036,"score_spread":0.2407428186356438,"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."}}