{"id":"W2769697870","doi":"10.3390/data2040038","title":"Antibody Exchange: Information Extraction of Biological Antibody Donation and a Web-Portal to Find Donors and Seekers","year":2017,"lang":"en","type":"article","venue":"Data","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Killam Trusts; National Institute of Mental Health; University of Oxford","keywords":"Computer science; Donation; Web resource; Resource (disambiguation); World Wide Web; Political science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002354821,0.00006957326,0.00009148401,0.00003528468,0.00009907541,0.00004581004,0.0002100113,0.00013556,0.000007304106],"category_scores_gemma":[0.0004415334,0.00005646929,0.000009814706,0.00002068102,0.0001585324,0.00003046674,0.0003986295,0.0000441204,0.000002209536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000016273,"about_ca_system_score_gemma":0.00001795691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007949224,"about_ca_topic_score_gemma":0.00003920475,"domain_scores_codex":[0.999509,0.00001631946,0.0001308916,0.0001830359,0.00006707927,0.00009367578],"domain_scores_gemma":[0.9993654,0.00001135285,0.0001179684,0.0004229921,0.00003064739,0.00005160504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001178174,0.00003409803,0.06696552,0.00005315076,0.00003531913,0.000002543176,0.0001139726,3.917883e-7,0.7830461,0.00003771445,0.003357693,0.1462357],"study_design_scores_gemma":[0.0006408893,0.0003934691,0.7836111,0.00002978003,0.00001781018,0.00003848526,0.0002667978,0.0004214981,0.006895347,0.00002483798,0.207488,0.0001720268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961162,0.0001963734,0.002358872,0.000383223,0.00009775016,0.00009110865,0.0004136898,0.00000744959,0.0003352868],"genre_scores_gemma":[0.9919932,0.0013471,0.001680092,0.00008416025,0.00005886054,0.000002448961,0.004801308,0.000002605245,0.00003019677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7761507,"threshold_uncertainty_score":0.2302751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04546032027114084,"score_gpt":0.3692602853675317,"score_spread":0.3237999650963909,"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."}}