{"id":"W4383100841","doi":"10.1016/s2666-7568(23)00109-5","title":"Sleep diplomacy: an approach to boosting global brain health","year":2023,"lang":"en","type":"article","venue":"The Lancet Healthy Longevity","topic":"Neuroscience of respiration and sleep","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"Fogarty International Center; Agencia Nacional de Investigación y Desarrollo; Alzheimer's Association; Portland State University; National Institute on Aging; National Institutes of Health","keywords":"Diplomacy; Boosting (machine learning); Global health; Sleep (system call); Psychology; Political science; Medicine; Computer science; Artificial intelligence; Public health; Nursing","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":[0.002660231,0.000212012,0.0003963676,0.00008334351,0.001179286,0.0002089165,0.001070693,0.00004999934,0.00001381721],"category_scores_gemma":[0.001693769,0.0001568652,0.000063418,0.002088436,0.0001660002,0.0003162159,0.0002474463,0.0003426496,0.0006046829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001533826,"about_ca_system_score_gemma":0.0001641919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001212301,"about_ca_topic_score_gemma":0.00007647607,"domain_scores_codex":[0.995842,0.001099518,0.0003751356,0.000833813,0.0006903987,0.001159104],"domain_scores_gemma":[0.997936,0.0003456312,0.0001672598,0.0009268245,0.00002879121,0.0005954771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001338078,0.00150773,0.02168991,0.0007314171,0.00001172741,0.0001129156,0.008750447,0.01026119,0.04557549,0.2253677,0.1666945,0.5179589],"study_design_scores_gemma":[0.004441923,0.003681101,0.5120818,0.000100929,0.00001639969,0.0003183009,0.0009737338,0.1913167,0.00501482,0.01196528,0.2680644,0.002024589],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8359463,0.00004247848,0.00268419,0.1444323,0.0007439349,0.00126144,0.0001025553,0.00119351,0.01359331],"genre_scores_gemma":[0.8458765,0.0000349443,0.0004422225,0.1528414,0.0005405943,0.0000541766,0.000005812957,0.00002097324,0.0001833828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5159343,"threshold_uncertainty_score":0.9070233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1638563341337576,"score_gpt":0.4022659791605052,"score_spread":0.2384096450267476,"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."}}