{"id":"W4396514595","doi":"10.2196/53441","title":"Precision Assessment of Real-World Associations Between Stress and Sleep Duration Using Actigraphy Data Collected Continuously for an Academic Year: Individual-Level Modeling Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Sleep and related disorders","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Drug Abuse; National Institute of Mental Health; National Institutes of Health","keywords":"Actigraphy; Psychology; Covariate; Clinical psychology; Medicine; Demography; Physical therapy; Statistics; Insomnia; Psychiatry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01294619,0.0006099014,0.0007204185,0.0005912469,0.0004318688,0.001172969,0.0013815,0.0008254439,0.0007244329],"category_scores_gemma":[0.02310608,0.000481403,0.001655732,0.0009328026,0.000481768,0.0005620975,0.0009693774,0.001002442,0.0003130981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005378941,"about_ca_system_score_gemma":0.0007877193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01468913,"about_ca_topic_score_gemma":0.01479332,"domain_scores_codex":[0.9969098,0.001546953,0.0001569453,0.001070012,0.0002241977,0.00009197074],"domain_scores_gemma":[0.9787822,0.01322712,0.001994042,0.004713122,0.001010284,0.0002731816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006307109,0.0003194969,0.9223964,0.0001382146,0.002855153,0.0001282253,0.0006071418,0.04266481,0.002154584,0.000907161,0.0009213443,0.02627675],"study_design_scores_gemma":[0.00009414891,0.0006899662,0.6682847,0.00006301508,0.0007929211,0.0003055572,0.0002660725,0.3237168,0.001112976,0.002608352,0.001999841,0.00006561248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9122333,0.0004210993,0.08487816,0.0001687124,0.00003843083,0.0001141694,0.001509658,0.0002219956,0.0004145688],"genre_scores_gemma":[0.9841208,0.0001027906,0.01383279,0.00005457142,0.00002118729,0.00008677407,0.001550656,0.00002475064,0.0002056611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01468913,"threshold_uncertainty_score":0.06846678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2983430321034505,"score_gpt":0.5331409701092705,"score_spread":0.2347979380058201,"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."}}