{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003893267,0.0006049773,0.00130502,0.0004061996,0.0002977702,0.000105348,0.0009913496,0.0004450536,0.02617855],"category_scores_gemma":[0.006082474,0.0004124472,0.0004687089,0.0006697975,0.00009870737,0.0001171163,0.0008238512,0.001452723,0.0001846267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001338594,"about_ca_system_score_gemma":0.0007004811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002084365,"about_ca_topic_score_gemma":0.0006069862,"domain_scores_codex":[0.9951466,0.0006040382,0.001121736,0.0007912215,0.001551338,0.000785043],"domain_scores_gemma":[0.9958848,0.001370574,0.0007116141,0.001107171,0.0005834505,0.0003423349],"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":[0.0002384926,0.0006673625,0.008567451,0.009200083,0.000153184,0.001481922,0.0002222746,0.00001977363,0.00009275542,0.000001018052,0.9792435,0.0001121687],"study_design_scores_gemma":[0.001031853,0.0002101879,0.01906362,0.007873889,0.00008595247,0.00006118663,0.0003964248,0.00005997523,0.0002159812,0.000009552792,0.9705853,0.0004060263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004801578,0.005729449,8.157087e-8,0.002338838,0.0001218632,0.001081927,0.9856651,0.00003100524,0.0002301382],"genre_scores_gemma":[0.001628871,0.001016193,0.00003512272,0.001668368,0.0005754688,0.0001423163,0.9945861,0.00004461725,0.0003029449],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02599392,"threshold_uncertainty_score":0.9998327,"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."}}