{"id":"W1811274566","doi":"10.1111/j.1365-2478.2011.01035.x","title":"Influence of dispersive soil electromagnetic properties on hand‐held time domain electromagnetic sensors","year":2012,"lang":"en","type":"article","venue":"Geophysical Prospecting","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Geoscience BC","funders":"","keywords":"Detector; Time domain; Electromagnetic induction; Electromagnetic radiation; Electromagnetic noise; Noise (video); Soil science; Frequency domain; SIGNAL (programming language); Geology; Acoustics; Physics; Optics; Electrical engineering; Computer science; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003328433,0.0003481627,0.0005194324,0.00009560752,0.00033595,0.00005918629,0.0002956502,0.0001094022,0.0002950651],"category_scores_gemma":[0.0003901059,0.000257685,0.0001872352,0.0007917879,0.0003006383,0.0002915697,0.00003217772,0.0005385651,0.001224303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001746065,"about_ca_system_score_gemma":0.00004306459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007953321,"about_ca_topic_score_gemma":0.00002349581,"domain_scores_codex":[0.9971321,0.0002509232,0.000400338,0.0004664234,0.0005597256,0.001190446],"domain_scores_gemma":[0.9986252,0.0004776412,0.0001854821,0.0003008982,0.00009896482,0.0003118099],"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":[0.0007134294,0.0009091868,0.02758129,0.0002106142,0.0001210988,0.00001622633,0.002117194,0.006357338,0.9162503,0.002013698,0.000109219,0.04360043],"study_design_scores_gemma":[0.0005040233,0.004106829,0.8520182,0.00008403743,0.00006016873,0.00001962331,0.00006682323,0.003368358,0.1278314,0.01124745,0.00009730662,0.0005957309],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951593,0.0002734019,0.000007209225,0.0002309015,0.00007064114,0.0003732316,0.000008569733,0.00008168704,0.003795045],"genre_scores_gemma":[0.9978251,0.000005129299,0.0007568224,0.0001320409,0.000481198,0.000007534431,0.000008280842,0.00001337336,0.0007704616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.824437,"threshold_uncertainty_score":0.9999875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008015219684929301,"score_gpt":0.2024059759127959,"score_spread":0.1943907562278666,"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."}}