{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0191274,0.0001958427,0.001377023,0.0001098109,0.0005159347,0.00000264499,0.00007906959,0.0001470755,0.0000375308],"category_scores_gemma":[0.0008429968,0.0001516412,0.0000273635,0.0001007069,0.00008833067,0.00005711024,0.0001391721,0.0005145491,0.00002604917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009795625,"about_ca_system_score_gemma":0.0002835654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001989254,"about_ca_topic_score_gemma":0.0003285403,"domain_scores_codex":[0.9897309,0.008057616,0.0009768296,0.0004603794,0.0000886744,0.0006856054],"domain_scores_gemma":[0.9888883,0.009589941,0.000857812,0.0003231459,0.00004620762,0.0002946175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009279821,0.0001520669,0.9659916,0.002812597,0.00008074301,0.000001864484,0.001359099,0.000007147268,0.00000229382,0.007453693,0.01224394,0.009802117],"study_design_scores_gemma":[0.001250528,0.002011683,0.9914585,0.0004501998,0.00002599265,0.000001032218,0.0008416361,0.000475702,1.943001e-7,0.001250713,0.00212396,0.0001098334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9103394,0.008393649,0.03369068,0.03536283,0.001534905,0.01039664,0.000007918771,0.00008065985,0.0001932826],"genre_scores_gemma":[0.9715931,0.0069102,0.002886616,0.01731759,0.0001618881,0.0001636568,0.00002037627,0.00002218279,0.0009244177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06125364,"threshold_uncertainty_score":0.6629212,"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."}}