{"id":"W4394514511","doi":"10.6084/m9.figshare.14740689","title":"Germline IGHV3-53-encoded RBD-targeting neutralizing antibodies are commonly present in the antibody repertoires of COVID-19 patients","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Alberta","funders":"","keywords":"Virology; Germline; Antibody; Coronavirus disease 2019 (COVID-19); Neutralizing antibody; Biology; Genetics; Medicine; Gene; Infectious disease (medical specialty)","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":[0.0008770433,0.0009157564,0.001218072,0.001480446,0.0004184276,0.0009410192,0.001475898,0.001164396,0.01196417],"category_scores_gemma":[0.004225598,0.0003015332,0.0009943817,0.002162249,0.0002605342,0.0004832156,0.0007966669,0.0009744606,0.004741326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008145549,"about_ca_system_score_gemma":0.0009785924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006103605,"about_ca_topic_score_gemma":0.01215597,"domain_scores_codex":[0.999299,0.0001381133,0.00009527832,0.000279762,0.0001035551,0.0000842672],"domain_scores_gemma":[0.9988625,0.0006680117,0.0001582726,0.0001221441,0.0001063335,0.0000827553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002534946,0.000214236,0.07675483,0.0105086,0.001305582,0.0006311345,0.0002132331,0.009186435,0.00389783,0.003658081,0.8414491,0.04964599],"study_design_scores_gemma":[0.001229345,0.0001849969,0.08190852,0.001442305,0.001127857,0.001086929,0.0002762211,0.008056003,0.004095144,0.005762721,0.8947079,0.0001221839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00711464,0.0008680632,0.0003896914,0.0002448633,0.00002646863,0.00002082617,0.9900746,0.000342303,0.0009185041],"genre_scores_gemma":[0.01458684,0.0004767751,0.001276278,0.000172021,0.000008180424,0.0001205921,0.9829218,0.00006183574,0.0003756668],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01196417,"threshold_uncertainty_score":0.04002416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08357912697253451,"score_gpt":0.3874761282423484,"score_spread":0.3038970012698139,"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."}}