{"id":"W4399363240","doi":"10.3390/jpm14060598","title":"Revolutionizing Sleep Health: The Emergence and Impact of Personalized Sleep Medicine","year":2024,"lang":"en","type":"article","venue":"Journal of Personalized Medicine","topic":"Sleep and related disorders","field":"Psychology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Wearable computer; Personalized medicine; Precision medicine; Sleep (system call); Wearable technology; Health care; Sleep medicine; Obstructive sleep apnea; Medicine; Computer science; Data science; Cognition; Bioinformatics; Sleep disorder; Psychiatry","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":[],"consensus_categories":[],"category_scores_codex":[0.005139594,0.0006301323,0.0009569834,0.001291939,0.0009534167,0.003819132,0.00135577,0.0035852,0.00613521],"category_scores_gemma":[0.007065143,0.0003049987,0.001002809,0.0009417412,0.003825238,0.006178867,0.003828102,0.006530337,0.001771047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001747022,"about_ca_system_score_gemma":0.00371509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00217855,"about_ca_topic_score_gemma":0.002887388,"domain_scores_codex":[0.9979395,0.0009125475,0.0001030069,0.0002549395,0.0005637951,0.0002262249],"domain_scores_gemma":[0.9930272,0.004588379,0.0002701887,0.0004368877,0.0008001973,0.0008771254],"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":[0.0002706413,0.0001851044,0.002994015,0.00374986,0.0001643611,0.0004403951,0.001623921,0.001434147,0.003730883,0.1692754,0.1157148,0.7004165],"study_design_scores_gemma":[0.00005156228,0.0002943629,0.004138956,0.003106468,0.0001073886,0.0008350919,0.001423756,0.002740786,0.001357406,0.2502614,0.7355872,0.00009577243],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008063622,0.6194599,0.03680807,0.3027304,0.009167441,0.00008487294,0.0005402857,0.000582583,0.02256291],"genre_scores_gemma":[0.1466315,0.6655335,0.05169041,0.0975925,0.02604276,0.0002260647,0.000724464,0.0003063469,0.01125245],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00613521,"threshold_uncertainty_score":0.02718109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03671396294586788,"score_gpt":0.3827885854878587,"score_spread":0.3460746225419908,"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."}}