{"id":"W2507661753","doi":"10.3390/ijerph13080809","title":"Sleep Disturbance from Road Traffic, Railways, Airplanes and from Total Environmental Noise Levels in Montreal","year":2016,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Noise Effects and Management","field":"Health Professions","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; McGill University; Université de Montréal","funders":"Institut National de Santé Publique du Québec","keywords":"Disturbance (geology); Sleep disorder; Noise (video); Traffic noise; Environmental noise; Noise pollution; Environmental science; Aircraft noise; Population; Sleep (system call); Geography; Statistics; Environmental health; Medicine; Mathematics; Computer science; Noise reduction; Biology; Sound (geography)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001648714,0.0001607498,0.0003014306,0.0002724883,0.0002366467,0.00004794575,0.0003014412,0.00009450704,0.001385947],"category_scores_gemma":[0.0001389229,0.0001105661,0.00004358527,0.00004251625,0.0002608449,0.0004815611,0.000341219,0.0005779117,0.00006971868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008365916,"about_ca_system_score_gemma":0.0001116867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002340252,"about_ca_topic_score_gemma":0.0008119617,"domain_scores_codex":[0.9966522,0.0007128728,0.0006833157,0.0003194468,0.00102867,0.0006035278],"domain_scores_gemma":[0.9979929,0.0009641858,0.0002929301,0.0001473425,0.00001983202,0.0005827522],"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":[0.0004720077,0.0008084251,0.2385529,0.00001757792,0.000167101,0.0001629945,0.00254107,0.000003715608,0.004225922,0.0001121839,0.002079827,0.7508563],"study_design_scores_gemma":[0.003133804,0.000372494,0.9814469,0.0001702553,0.000002825437,0.00001063526,0.002011983,0.00007841227,0.00001637814,0.000667826,0.01198034,0.0001082032],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809448,0.002130023,0.0001086823,0.01481472,0.0004231592,0.0003711115,0.0009979114,0.000005617565,0.0002040213],"genre_scores_gemma":[0.9939879,0.004149981,0.0001170755,0.0005032201,0.0005748285,0.00002092649,0.00005266147,0.00001697757,0.0005764367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.750748,"threshold_uncertainty_score":0.9995269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05913106671690804,"score_gpt":0.3847532327836066,"score_spread":0.3256221660666986,"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."}}