{"id":"W2996423427","doi":"10.1007/s11517-019-02084-w","title":"Transcranial magnetic stimulation safety from operator exposure perspective","year":2019,"lang":"en","type":"article","venue":"Medical & Biological Engineering & Computing","topic":"Electromagnetic Fields and Biological Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Torso; Electromagnetic coil; Transcranial magnetic stimulation; Operator (biology); Context (archaeology); Head (geology); Nuclear magnetic resonance; Physics; Acoustics; Biomedical engineering; Simulation; Computer science; Electrical engineering; Engineering; Stimulation; Medicine; Anatomy; Chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003076943,0.0002610598,0.0003157937,0.00002553838,0.00006224932,0.00002482255,0.0003060716,0.0005918713,0.001115561],"category_scores_gemma":[0.0005130816,0.0001866664,0.0001458183,0.0001240346,0.00006592278,0.000003123779,0.0001382915,0.0003990415,0.00007354878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000277225,"about_ca_system_score_gemma":0.00004220368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004870863,"about_ca_topic_score_gemma":0.000002825501,"domain_scores_codex":[0.9982939,0.0001092931,0.0003173643,0.0006114882,0.0002372431,0.0004307482],"domain_scores_gemma":[0.9992841,0.0001854668,0.00004070862,0.0002168627,0.00006287928,0.0002099393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002418709,0.0001385644,0.01775794,0.00001821191,0.0000533458,0.0000206176,0.00006334189,0.003237714,0.9617268,0.0007162745,0.00008925538,0.01593606],"study_design_scores_gemma":[0.00975544,0.03543752,0.6710171,0.0004713521,0.0000939091,0.0001147431,0.0002301695,0.2395782,0.02615662,0.0004700731,0.01372588,0.002949035],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834709,0.001513748,0.01335723,0.0002883656,0.0003365739,0.0002900709,0.00001023514,0.00007421333,0.0006586618],"genre_scores_gemma":[0.9967017,0.00007289597,0.001772595,0.0005836997,0.0006729891,0.000005555905,0.0001209021,0.00001668572,0.00005298639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9355702,"threshold_uncertainty_score":0.9997976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003570435755988536,"score_gpt":0.2097553942815277,"score_spread":0.2061849585255392,"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."}}