{"id":"W3042460069","doi":"10.1089/bio.2020.29072.cys","title":"ISBER in the Time of COVID","year":2020,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Digital Education and Society","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"International Society for Cellular Therapy","funders":"","keywords":"Biobank; Library science; Biopreservation; Coronavirus disease 2019 (COVID-19); Political science; Computer science; Medicine; 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":[0.000160704,0.00003191096,0.00004370645,0.00001442835,0.00002726189,0.00007969953,0.0002641827,0.00001874855,0.0000164258],"category_scores_gemma":[0.00005313884,0.00002200204,0.0000163836,0.0002789977,0.00002186248,0.0002537121,0.00006017793,0.00003310174,0.000009362164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003937686,"about_ca_system_score_gemma":0.00002392857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001626492,"about_ca_topic_score_gemma":0.000001347615,"domain_scores_codex":[0.9996302,0.00002314243,0.00009475993,0.00009165538,0.0001076937,0.0000525989],"domain_scores_gemma":[0.9997942,0.00003307532,0.00003513336,0.00009179399,0.00002251248,0.00002330337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002045546,0.0002961622,0.1183167,0.000181145,0.00002466005,0.000004768113,0.1493645,0.00004442194,0.01562967,0.6029174,0.05381399,0.05938616],"study_design_scores_gemma":[0.001401669,0.0002422516,0.4035547,0.00006538752,0.000008567864,0.00000824226,0.004563962,0.1698812,0.003935658,0.01682979,0.3989693,0.0005392481],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8364005,0.0002055291,0.01673114,0.1323269,0.00009276027,0.0002485845,0.000003577425,0.00007703753,0.01391397],"genre_scores_gemma":[0.989971,0.000009231813,0.001068744,0.008857739,0.00002028054,0.000001981896,0.000002610037,0.000001077826,0.00006727751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5860876,"threshold_uncertainty_score":0.08972172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04479928049460624,"score_gpt":0.262996042288375,"score_spread":0.2181967617937688,"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."}}