{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003272119,0.0003738998,0.0002000974,0.0006212744,0.0004704875,0.0004695101,0.0004684408,0.0001936425,0.001726341],"category_scores_gemma":[0.001190772,0.0001930401,0.0004457465,0.0009175123,0.0003285172,0.0002218263,0.000466984,0.0002648404,0.000110051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004900097,"about_ca_system_score_gemma":0.002676039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9383478,"about_ca_topic_score_gemma":0.9514849,"domain_scores_codex":[0.9997057,0.00004307338,0.00001944234,0.00006710464,0.00009252009,0.00007221446],"domain_scores_gemma":[0.9994986,0.00004133553,0.0001865227,0.00001626972,0.0001297336,0.0001276001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009525527,0.00001880269,0.9955887,0.00002026727,0.00009628734,0.00006071441,0.0002462698,0.0002331102,0.0003711601,0.00002596088,0.0002137322,0.0030298],"study_design_scores_gemma":[0.000001547637,0.00001776766,0.999652,0.000002058409,0.000009699511,0.00001309447,0.00006551377,0.0001299689,0.00001914197,0.000002752239,0.00008402913,0.000002387008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978656,0.0003967238,0.0001062536,0.00004377064,0.000002813539,0.00001507279,0.0009871827,0.000007916514,0.0005747225],"genre_scores_gemma":[0.9987829,0.0001358631,0.00007397772,0.00001312361,0.000002671882,0.000007301368,0.0004918418,0.000001939247,0.0004904023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06165218,"threshold_uncertainty_score":0.1240305,"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."}}