{"id":"W3168400913","doi":"10.12688/openreseurope.13369.1","title":"Radical collaboration during a global health emergency: development of the RDA COVID-19 data sharing recommendations and guidelines","year":2021,"lang":"en","type":"article","venue":"Open Research Europe","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; York University; Environment and Climate Change Canada","funders":"Horizon 2020 Framework Programme; Royal Irish Academy; European Commission; EOSC-Life; Rural Development Administration; National Science Foundation","keywords":"Data sharing; Coronavirus disease 2019 (COVID-19); Alliance; Work (physics); Qualitative property; Survey data collection; Knowledge management; Data collection; Pandemic; European commission; Public relations; Psychology; Business; Political science; Computer science; Medicine; Engineering; Sociology; Disease; European union; Infectious disease (medical specialty)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003425893,0.0000627912,0.0001447797,0.00004385888,0.0008104591,0.00009411619,0.0005631432,0.00003096821,0.0004162811],"category_scores_gemma":[0.008466293,0.00004909254,0.00001015779,0.001276597,0.00007775724,0.0001895849,0.001672442,0.0001970474,0.00001840922],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003059949,"about_ca_system_score_gemma":0.009157769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001876381,"about_ca_topic_score_gemma":0.005752014,"domain_scores_codex":[0.9978933,0.0003961549,0.0006346683,0.0004093036,0.0004172764,0.0002493077],"domain_scores_gemma":[0.9974617,0.0000826588,0.0001009289,0.0007844644,0.001252563,0.0003176601],"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":[0.0004165272,0.0007403726,0.2390785,0.001360864,0.0001286814,0.00003699844,0.01277523,0.00003492006,0.004655662,0.007074047,0.3757715,0.3579267],"study_design_scores_gemma":[0.0004166462,0.0002067974,0.07048652,0.001127609,0.00002259805,0.0001147768,0.01659399,0.001981992,0.01109419,0.001921042,0.8958011,0.0002327237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5362644,0.002219633,0.0007042015,0.4562157,0.000522437,0.001450259,0.00009029384,0.00001811297,0.002514981],"genre_scores_gemma":[0.9033356,0.02118303,0.05721464,0.006234161,0.0008493322,0.0001775593,0.001506124,0.00006127023,0.009438272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5200296,"threshold_uncertainty_score":0.9998858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7831107430733687,"score_gpt":0.6673586419413645,"score_spread":0.1157521011320042,"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."}}