{"id":"W2928238017","doi":"10.2196/11930","title":"Smartphones as Sleep Duration Sensors: Validation of the iSenseSleep Algorithm","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Sleep and related disorders","field":"Psychology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme","keywords":"Smartwatch; Sleep (system call); Duration (music); Computer science; Sleep patterns; Actigraphy; Psychology; Wearable computer; Audiology; Medicine; Circadian rhythm; Embedded system","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":[0.002403514,0.0007029236,0.0004987961,0.0008870457,0.000254499,0.0007391812,0.0007028694,0.0007230661,0.00101063],"category_scores_gemma":[0.007977822,0.0001754368,0.0004812163,0.0005716765,0.0002200526,0.0005865009,0.0007037611,0.0003967792,0.000615437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002615961,"about_ca_system_score_gemma":0.0004402968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004932971,"about_ca_topic_score_gemma":0.004720383,"domain_scores_codex":[0.9987583,0.0004860459,0.0001189616,0.0003026225,0.0002746233,0.00005942255],"domain_scores_gemma":[0.9974278,0.001312996,0.0002232736,0.0002628255,0.0007034722,0.0000696981],"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":[0.003689581,0.001047552,0.3143423,0.0008906609,0.001056823,0.0003172981,0.0006417739,0.08467799,0.03194768,0.001623498,0.004406893,0.555358],"study_design_scores_gemma":[0.0002391746,0.001889034,0.1814149,0.0001288042,0.0002222678,0.000608887,0.0003518995,0.7975839,0.01343799,0.0007814508,0.003275151,0.0000664837],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8481526,0.0011951,0.1441101,0.0002482628,0.0001884047,0.000441626,0.001654784,0.001091251,0.002917822],"genre_scores_gemma":[0.9036605,0.0003710465,0.09236485,0.0001044905,0.00004400478,0.0003393655,0.0019088,0.00006364431,0.001143417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004932971,"threshold_uncertainty_score":0.01271117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02081396899971547,"score_gpt":0.3394374149618561,"score_spread":0.3186234459621407,"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."}}