{"id":"W4206316730","doi":"10.1016/j.neuron.2021.11.017","title":"International data governance for neuroscience","year":2021,"lang":"en","type":"review","venue":"Neuron","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Wellcome Trust","keywords":"Corporate governance; Geopolitics; Data sharing; Data governance; Political science; Scale (ratio); Open data; Neuroinformatics; Public relations; Engineering ethics; Business; Neuroscience; Psychology; Finance; Engineering; Data quality; Law","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":[0.001351986,0.0001647481,0.0007806971,0.00003787744,0.00004445994,0.00006405921,0.001756975,0.0003007756,0.0001121705],"category_scores_gemma":[0.05918831,0.0001336233,0.0002356488,0.0002080981,0.0001434858,0.00007987407,0.001352924,0.001939838,0.00004370478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007076713,"about_ca_system_score_gemma":0.001398876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003528492,"about_ca_topic_score_gemma":0.000005240383,"domain_scores_codex":[0.9971434,0.0000816487,0.0004713511,0.0009894732,0.001076215,0.0002378551],"domain_scores_gemma":[0.9916628,0.005954162,0.00020326,0.001803765,0.0002466983,0.0001293202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006372109,0.00007181924,0.000002634848,0.008380173,0.0000130134,0.00009425406,0.000001110196,5.555995e-8,0.00000202058,0.003269405,0.01366499,0.9744942],"study_design_scores_gemma":[0.0001489153,0.00009917796,0.00001579547,0.00807049,0.0001321319,0.00006468058,3.706929e-7,0.00009110151,5.002562e-7,0.00007427856,0.9912169,0.000085685],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[1.731769e-7,0.9884563,0.0001439167,0.002533542,0.002318153,0.0006354925,0.0005164489,0.00002436908,0.005371601],"genre_scores_gemma":[6.477972e-7,0.9834372,0.0007281677,0.001098375,0.0007924912,0.00004839322,0.0004643626,0.000045307,0.01338507],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9775519,"threshold_uncertainty_score":0.9487365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8920934432281251,"score_gpt":0.7129083510835604,"score_spread":0.1791850921445647,"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."}}