{"id":"W3158717625","doi":"10.1093/sleep/zsab072.268","title":"269 Sleep Enhancement Technology: A Survey of Apps","year":2021,"lang":"en","type":"article","venue":"SLEEP","topic":"Sleep and related disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Sleep (system call); Actigraphy; Internet privacy; Latency (audio); Android (operating system); Psychology; Medicine; Audiology; Computer science; Circadian rhythm; Neuroscience; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002512083,0.0001454119,0.0002516456,0.0001653966,0.00005406225,0.000006985054,0.0002169116,0.0003152339,0.004310056],"category_scores_gemma":[0.0001085476,0.0001376266,0.00007808863,0.0009036916,0.000146045,0.00002534921,0.00008886532,0.0002482452,0.0008766866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000217329,"about_ca_system_score_gemma":0.00003088689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002552162,"about_ca_topic_score_gemma":0.0001539605,"domain_scores_codex":[0.9986583,0.0001431634,0.0003263582,0.0003686553,0.0001616513,0.0003418467],"domain_scores_gemma":[0.9990022,0.00005971607,0.0001112483,0.0005944087,0.0001771414,0.000055268],"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":[0.0004535812,0.005886454,0.2979714,0.00008262621,0.004987406,0.0004124264,0.004209395,0.0001053528,0.01727738,0.04077128,0.02475106,0.6030917],"study_design_scores_gemma":[0.03251222,0.002392981,0.5213193,0.0003984814,0.001906364,0.0002566973,0.02230354,0.001019471,0.2166848,0.01687157,0.1803551,0.003979532],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8780532,0.0111236,0.004232973,0.001072543,0.002379861,0.0002773686,0.00002783991,0.0001533257,0.1026793],"genre_scores_gemma":[0.99661,0.0001298407,0.0002517398,0.0001907039,0.00002354199,0.00003817334,0.00006119871,0.00002304721,0.002671782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5991121,"threshold_uncertainty_score":0.9999012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741664245607086,"score_gpt":0.2909530821984663,"score_spread":0.2735364397423954,"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."}}