{"id":"W3217425495","doi":"10.2196/31807","title":"Importance of Getting Enough Sleep and Daily Activity Data to Assess Variability: Longitudinal Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Sleep and related disorders","field":"Psychology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NordForsk","keywords":"Observational study; Sleep (system call); Longitudinal data; Longitudinal study; Psychology; Statistics; Computer science; Data mining; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003741737,0.0001327434,0.0002685402,0.0001547192,0.000257723,0.00005817761,0.0004716115,0.0001039254,0.000437594],"category_scores_gemma":[0.0007402605,0.0001195482,0.00003081854,0.001022173,0.0001726129,0.0005594047,0.000961626,0.0006819448,0.0000439042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006352983,"about_ca_system_score_gemma":0.0001633874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001193391,"about_ca_topic_score_gemma":0.0001126306,"domain_scores_codex":[0.9967442,0.00109547,0.0003655026,0.0005893841,0.0007475034,0.0004579191],"domain_scores_gemma":[0.9968002,0.001336161,0.0001073899,0.001023378,0.0006043061,0.0001284971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003075083,0.003772083,0.9411729,0.00009604934,0.0008068178,0.00006457292,0.02378189,0.00001279138,0.0007765981,0.002899244,0.00387803,0.02243148],"study_design_scores_gemma":[0.00107652,0.0003333874,0.9839952,0.00002390234,0.00002239364,0.00001029187,0.01255667,0.0005829734,0.0001262508,0.0004626936,0.0006749537,0.0001347602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990433,0.0001020957,0.0005332601,0.001070613,0.0001734242,0.0007286427,0.00009859302,0.00002061494,0.006839765],"genre_scores_gemma":[0.999141,0.000008461592,0.0003555,0.00004331456,0.00004613308,0.0001299805,0.0000754771,0.00001422702,0.0001859147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04282228,"threshold_uncertainty_score":0.4875034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3352014059891876,"score_gpt":0.5004963496350366,"score_spread":0.165294943645849,"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."}}