{"id":"W7036275524","doi":"","title":"Bonus Interview - Linda Leatherdale, on how bone marrow donation saved her daughter's life","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conversation; Vice president; Daughter; Donation; Bone marrow transplantation; Bone marrow","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":[],"consensus_categories":[],"category_scores_codex":[0.0008794684,0.0003104714,0.000252429,0.0002542844,0.007865249,0.001613657,0.000400379,0.002949785,0.09078243],"category_scores_gemma":[0.003278801,0.0002340883,0.0001787941,0.0003178001,0.001075796,0.00208176,0.001906134,0.006836359,0.0180331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003319014,"about_ca_system_score_gemma":0.003669319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04243938,"about_ca_topic_score_gemma":0.1773073,"domain_scores_codex":[0.9995682,0.0001397151,0.000009950155,0.00003397222,0.0001020376,0.0001461717],"domain_scores_gemma":[0.9986332,0.000276847,0.00004301416,0.00002241365,0.0002314194,0.0007931055],"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":[0.0000061636,0.000004463,0.0001734573,0.000009199181,2.92759e-7,0.0001033922,0.0009207152,0.000003108707,0.00003783708,0.0004980164,0.9959167,0.00232674],"study_design_scores_gemma":[0.000003176765,0.000009958069,0.0007031637,0.00007285289,8.281145e-7,0.0001910025,0.006509043,0.000006996062,0.00004950466,0.0001507081,0.9922972,0.00000558013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.007508878,0.005773988,0.0001996748,0.7876591,0.01630292,0.00007940971,0.001310994,0.0001263322,0.1810387],"genre_scores_gemma":[0.02405858,0.004496215,0.0001690205,0.2822396,0.002676125,0.0001354735,0.0003453144,0.0001241473,0.6857556],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09078243,"threshold_uncertainty_score":0.3036975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399415515536813,"score_gpt":0.2213302311892263,"score_spread":0.2073360760338581,"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."}}