{"id":"W2968505602","doi":"10.4178/epih.e2019025","title":"Health Effects of Underground Workspaces cohort: study design and baseline characteristics","year":2019,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"Noise Effects and Management","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"Ministry of National Development - Singapore; National Research Foundation Singapore; Nemzeti Fejlesztési Minisztérium; National Research Foundation","keywords":"Medicine; Baseline (sea); Cohort; Cohort study; Workspace; Environmental health; Physical therapy; Internal medicine","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":[0.002999729,0.0006676138,0.000755474,0.001011846,0.001199909,0.0007934403,0.0008919439,0.0009880804,0.00177559],"category_scores_gemma":[0.002507837,0.0007391435,0.001124182,0.001322925,0.0004190521,0.0008507351,0.001209912,0.0007527281,0.0006030265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005586522,"about_ca_system_score_gemma":0.001220812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01019853,"about_ca_topic_score_gemma":0.01052167,"domain_scores_codex":[0.9984294,0.0004080016,0.0001706518,0.0004096852,0.0003208558,0.0002613512],"domain_scores_gemma":[0.9983682,0.0001908047,0.000388552,0.0004528339,0.000275583,0.0003239822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002662458,0.0007055667,0.9915895,0.00006329561,0.0003389798,0.0002184235,0.0002937385,0.00009690109,0.001021594,0.00009357768,0.0005367333,0.002379179],"study_design_scores_gemma":[0.0004364632,0.002160092,0.9947548,0.00003308875,0.0002831696,0.0002906188,0.0003673545,0.0002670953,0.0001975282,0.00008459306,0.00110701,0.00001827948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992428,0.0004017007,0.001069401,0.00008850681,0.00003289796,0.001181319,0.003885486,0.00001695891,0.0008956571],"genre_scores_gemma":[0.9913734,0.0001802523,0.001262268,0.0002352519,0.00009270598,0.002420006,0.003272498,0.0000192112,0.001144516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01019853,"threshold_uncertainty_score":0.02027833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08756148077570865,"score_gpt":0.4544972731454472,"score_spread":0.3669357923697386,"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."}}