{"id":"W2156278274","doi":"10.1093/annhyg/mer011","title":"Improving Exposure Estimates by Combining Exposure Information","year":2011,"lang":"en","type":"article","venue":"The Annals of Occupational Hygiene","topic":"Noise Effects and Management","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute for Occupational Safety and Health","keywords":"Exposure assessment; Estimation; Occupational exposure; Computer science; Environmental science; Statistics; Environmental health; Engineering; Mathematics; 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":[0.01103225,0.001332931,0.001363482,0.003351868,0.0002882415,0.001555568,0.0008913836,0.000758003,0.001346967],"category_scores_gemma":[0.04363873,0.0007539231,0.001498888,0.002059014,0.0003693876,0.002203886,0.002349687,0.0008375156,0.0004667361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002913584,"about_ca_system_score_gemma":0.0005114624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001438964,"about_ca_topic_score_gemma":0.003047987,"domain_scores_codex":[0.9922935,0.003342352,0.0008542734,0.001311035,0.002080374,0.0001184141],"domain_scores_gemma":[0.9608221,0.02836256,0.003194094,0.002907867,0.004558725,0.0001545467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004478077,0.0002774068,0.08337238,0.001432259,0.001957675,0.00009126625,0.001014841,0.03799491,0.02306646,0.0007972293,0.0008516838,0.8486961],"study_design_scores_gemma":[0.0003229782,0.00540168,0.4857359,0.001144786,0.007768679,0.002285722,0.001390732,0.3873456,0.0693954,0.01590678,0.02231037,0.0009913561],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1662039,0.001367421,0.8288378,0.0001929496,0.00005266313,0.000215292,0.000346905,0.0009080859,0.001875024],"genre_scores_gemma":[0.4002306,0.0008004428,0.5973713,0.0001068695,0.0000953903,0.0002106158,0.0004992312,0.0001138121,0.0005717058],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01103225,"threshold_uncertainty_score":0.05834484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.135023544445614,"score_gpt":0.4057050838270028,"score_spread":0.2706815393813888,"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."}}