{"id":"W6922474323","doi":"10.12114/j.issn.1007-9572.2023.0096","title":"Latent Profile Analysis of Sleep Subtypes in Older Adults with Subjective Cognitive Decline and Its Influencing Factors","year":2023,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognitive decline; Pittsburgh Sleep Quality Index; Sleep (system call); Cognition; Dementia; Multinomial logistic regression; Sleep deprivation; Logistic regression; Young adult; Latent class model","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001075993,0.0003058006,0.0009541005,0.003584909,0.0001619798,0.0003442781,0.002683989,0.00012006,0.0001469572],"category_scores_gemma":[0.0006344692,0.0002559307,0.0001266381,0.006997853,0.000178647,0.001872552,0.002042755,0.0003691416,0.000004423153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001109497,"about_ca_system_score_gemma":0.0001319437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007168394,"about_ca_topic_score_gemma":0.0004329134,"domain_scores_codex":[0.9972992,0.0002071812,0.000750297,0.0006495088,0.0006924282,0.0004013771],"domain_scores_gemma":[0.9971232,0.0007935184,0.0009225981,0.0004296512,0.0006063529,0.0001247253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001257707,0.0001192812,0.9854872,0.0000687557,0.0004953304,0.00005187558,0.003283498,0.001589977,0.002286153,0.00008355902,0.00009004939,0.006318587],"study_design_scores_gemma":[0.0005534139,0.00003162102,0.9617687,0.0005961228,0.0001401987,0.000002773705,0.0003710797,0.01493307,0.02084155,0.0004518512,0.00001105703,0.0002984924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944034,0.002590419,0.001929071,0.00006916089,0.000118426,0.0005385909,0.00002314127,0.0001783488,0.0001494119],"genre_scores_gemma":[0.9986061,0.0005798388,0.0006862946,0.00003538655,0.00001033752,0.00002695156,0.000008212196,0.00002192505,0.00002492905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0237184,"threshold_uncertainty_score":0.9999893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1081371498494535,"score_gpt":0.4510335974596457,"score_spread":0.3428964476101922,"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."}}