{"id":"W7067826233","doi":"","title":"NBRHC 2019 Donor Wall List","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Key (lock); Table (database); MEDLINE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002648572,0.0008399988,0.001122297,0.003260211,0.004048331,0.005618014,0.002343919,0.00124598,0.8153668],"category_scores_gemma":[0.009442982,0.0008980561,0.0004932421,0.005356895,0.0005375494,0.002071785,0.004234808,0.001958907,0.7786376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006271439,"about_ca_system_score_gemma":0.02432723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1826205,"about_ca_topic_score_gemma":0.2544418,"domain_scores_codex":[0.9982919,0.0001331113,0.00009330436,0.0001898183,0.0008979383,0.000393951],"domain_scores_gemma":[0.9897611,0.0003771273,0.0002267868,0.0008412662,0.005435564,0.003358097],"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":[0.00001116681,0.000002947206,0.00003357033,0.00002108394,3.539564e-7,0.000004863108,0.000009345724,0.000005137162,0.00003327543,0.0005329011,0.9944485,0.004896759],"study_design_scores_gemma":[0.000004890301,0.000002685281,0.0001271721,0.00001982322,6.775548e-7,0.00001128263,0.000019849,0.00000851337,0.00005594085,0.0001625938,0.9995819,0.000004695015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006396569,0.0007303603,0.00179638,0.004755485,0.004795501,0.0004156411,0.2726237,0.006163015,0.7080804],"genre_scores_gemma":[0.001344604,0.00053939,0.001261921,0.001187779,0.0002514242,0.0002542206,0.08682235,0.002444872,0.9058934],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1846332,"threshold_uncertainty_score":0.3631151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006279574062167863,"score_gpt":0.2091133030840687,"score_spread":0.2028337290219008,"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."}}