{"id":"W3029730465","doi":"10.1109/access.2020.2997643","title":"Human Postural Control Under High Levels of Extremely Low Frequency Magnetic Fields","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Electromagnetic Fields and Biological Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Mitacs; Electricité de France; Hydro-Québec; Electric Power Research Institute; National Grid","keywords":"Extremely low frequency; Homogeneous; Electromagnetic field; Vestibular system; Low frequency; Audiology; Physical medicine and rehabilitation; Physics; Medicine; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006173876,0.0001622588,0.0002217596,0.00001572264,0.00004842732,0.00002898469,0.0004278046,0.0002483608,0.0001872094],"category_scores_gemma":[0.00005079504,0.0001252082,0.00009880192,0.00008968421,0.00008573038,0.000006041555,0.00006536916,0.0001401341,0.000005559411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000394771,"about_ca_system_score_gemma":0.00002958771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009956069,"about_ca_topic_score_gemma":0.00003681675,"domain_scores_codex":[0.9990119,0.0000731381,0.0002318708,0.0003198372,0.0001129152,0.0002503254],"domain_scores_gemma":[0.9995096,0.00002382239,0.00008473581,0.0002063975,0.00007690911,0.00009848721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004811105,0.00004060966,0.001192349,0.00003450995,0.00002669136,0.000006404443,0.000008344726,0.0000238164,0.9959627,0.0002460801,0.0009703086,0.001440107],"study_design_scores_gemma":[0.002980908,0.01626546,0.1495275,0.00003771782,0.0000798469,0.00001190368,0.00001392019,0.0001384799,0.8266732,0.003522442,0.0001329553,0.0006157801],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952386,0.0006755227,0.001535043,0.001490551,0.0001176206,0.0002170529,0.00002991475,0.00001621522,0.0006794506],"genre_scores_gemma":[0.9950686,0.00002241518,0.0001063238,0.004343409,0.0003057448,0.00001241597,0.00001858524,0.00001161681,0.000110894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1692895,"threshold_uncertainty_score":0.5105842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02514796551742745,"score_gpt":0.2761555899724104,"score_spread":0.251007624454983,"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."}}