{"id":"W4288076094","doi":"10.1089/bio.2021.29084.abstracts","title":"The International Society for Biological and Environmental Repositories Presents Abstracts from Its 2021 Annual Meeting Connect and Collaborate through Biobanking: Powering Innovation and Discovery May 10–14, 2021","year":2021,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital","funders":"","keywords":"Biobank; World Wide Web; Data science; Business; Computer science; Biology; Bioinformatics","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":[],"consensus_categories":[],"category_scores_codex":[0.000549786,0.0002196572,0.0002248115,0.00002806035,0.0006991395,0.0008137159,0.0001173692,0.0002389135,0.00001980132],"category_scores_gemma":[0.0007334685,0.0001607508,0.00004322904,0.0002184093,0.0002193626,0.0006604738,0.0003231738,0.0001347549,7.698516e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006652589,"about_ca_system_score_gemma":0.00001804031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007584503,"about_ca_topic_score_gemma":0.00002683831,"domain_scores_codex":[0.9983032,0.0000892254,0.0005130506,0.0005945076,0.000237578,0.0002624213],"domain_scores_gemma":[0.9986027,0.0006997295,0.0003286339,0.0001402777,0.0001874387,0.00004114651],"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":[0.0003781045,0.00005202863,0.1907805,0.00004092845,0.0001522649,0.000003744067,0.001103725,0.000005054273,0.8020087,0.0009940881,0.001034455,0.003446395],"study_design_scores_gemma":[0.003151254,0.0003789774,0.4862563,0.000488791,0.0001082371,0.00006340036,0.01458582,0.003433086,0.3403259,0.00385638,0.146321,0.001030792],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908902,0.004148827,0.00006590582,0.003124536,0.0009289403,0.0003790707,0.0003124074,0.00002081654,0.0001292713],"genre_scores_gemma":[0.9964321,0.0009564745,0.001065598,0.0001991303,0.0006040452,0.00002994902,0.0004982738,0.00001327336,0.0002011962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4616828,"threshold_uncertainty_score":0.7846681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03688319006219379,"score_gpt":0.2773150585637556,"score_spread":0.2404318685015618,"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."}}