{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.03500411,0.0006894758,0.0009407013,0.003218381,0.002532482,0.01043561,0.002116407,0.006247777,0.00794334],"category_scores_gemma":[0.06351709,0.0004579559,0.001037748,0.004811184,0.01117318,0.01653004,0.01051201,0.008347209,0.002088945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006406644,"about_ca_system_score_gemma":0.02646146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003483565,"about_ca_topic_score_gemma":0.003397184,"domain_scores_codex":[0.9735744,0.01574857,0.003211452,0.001924561,0.004647494,0.0008935365],"domain_scores_gemma":[0.9527389,0.02814274,0.004430829,0.00624054,0.006410529,0.002036455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000144453,0.00001713539,0.0003481992,0.002618158,0.00004172149,0.00007680953,0.001526727,0.0002539675,0.0001250328,0.7399026,0.05402029,0.2010549],"study_design_scores_gemma":[0.000006232332,0.000007689961,0.0003598961,0.008841391,0.00002369676,0.0002361992,0.0006067674,0.00006978601,0.0001106418,0.135516,0.8542098,0.00001199286],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001172567,0.6454294,0.04517493,0.1912467,0.007405764,0.0003394484,0.00045477,0.0002544985,0.1085219],"genre_scores_gemma":[0.09346782,0.697508,0.06205587,0.1120626,0.00915558,0.00207238,0.001934501,0.0004401492,0.02130313],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9978836,"threshold_uncertainty_score":0.1851217,"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."}}