{"id":"W4394979376","doi":"10.1093/sleep/zsae067.0291","title":"0291 Evaluating Sleep Quality Metrics Using Zero-Effort Technology: Implications for Public Health Dynamics","year":2024,"lang":"en","type":"article","venue":"SLEEP","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sleep quality; Zero (linguistics); Quality (philosophy); Public health; Dynamics (music); Sleep (system call); Psychology; Computer science; Medicine; Psychiatry; Insomnia; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005074923,0.0005755597,0.0003544252,0.001862955,0.0002311824,0.00184369,0.0007143221,0.0004923541,0.002361361],"category_scores_gemma":[0.01657075,0.0001357738,0.0004200888,0.002016983,0.000338612,0.001304087,0.0008445575,0.0003541834,0.0003936152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008500561,"about_ca_system_score_gemma":0.0006431521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006329027,"about_ca_topic_score_gemma":0.005625953,"domain_scores_codex":[0.9977251,0.001559604,0.0001120504,0.0002467051,0.000281839,0.00007464786],"domain_scores_gemma":[0.9928785,0.004356705,0.0009223633,0.0005436657,0.0011106,0.0001881738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003674662,0.0006769498,0.6013867,0.0004084833,0.0003460606,0.0000859677,0.0005952933,0.03334237,0.002878721,0.007323598,0.004100748,0.3484877],"study_design_scores_gemma":[0.00005773255,0.00137505,0.5151424,0.000354442,0.0001974981,0.0001555178,0.002895104,0.4522541,0.00397536,0.01772688,0.005785888,0.00007998748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8062488,0.002295607,0.1629034,0.00387456,0.0001982835,0.0004479183,0.005246904,0.0007879923,0.01799654],"genre_scores_gemma":[0.9751914,0.000326149,0.02293864,0.00009454257,0.00003387781,0.000118547,0.000715981,0.00001757922,0.0005633662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006329027,"threshold_uncertainty_score":0.02683908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2023539325016191,"score_gpt":0.4723561859486122,"score_spread":0.2700022534469931,"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."}}