{"id":"W2001536515","doi":"10.1260/095830503322364476","title":"Foreseeable Health Risk of Electric and Magnetic Field Residential Exposures","year":2003,"lang":"en","type":"article","venue":"Energy & Environment","topic":"Noise Effects and Management","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Environmental health; Medicine; Public health; Population; Business; Risk analysis (engineering); Pathology","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":[0.003305048,0.0003063532,0.0004816003,0.000886831,0.0003136879,0.0009003241,0.0005190772,0.00141307,0.002596795],"category_scores_gemma":[0.007950779,0.00021101,0.0008425444,0.0004384136,0.0006381016,0.001092331,0.0007639974,0.0006323773,0.0003087399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003368439,"about_ca_system_score_gemma":0.0007544657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001189102,"about_ca_topic_score_gemma":0.001711618,"domain_scores_codex":[0.9982007,0.0007858953,0.0001223088,0.0002431333,0.000517066,0.0001309215],"domain_scores_gemma":[0.9932168,0.004953071,0.001038367,0.0002550413,0.0004357925,0.0001008534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001924644,0.0003753506,0.4795389,0.003829836,0.001258285,0.004794533,0.001177094,0.01053976,0.008368965,0.01833913,0.003619832,0.4662337],"study_design_scores_gemma":[0.0001776594,0.007165455,0.6324597,0.004644891,0.005601786,0.02242908,0.00454129,0.005658058,0.02872749,0.1492675,0.1391109,0.0002161254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6106819,0.2420725,0.05479896,0.02270901,0.0006983695,0.000263531,0.002267681,0.0002178445,0.06629021],"genre_scores_gemma":[0.9422539,0.04804855,0.005327221,0.0009250076,0.0005086096,0.00005509205,0.0003922382,0.000005751914,0.002483497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003305048,"threshold_uncertainty_score":0.01747894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009575604671834348,"score_gpt":0.2792218905447766,"score_spread":0.2696462858729423,"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."}}