{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000428165,0.0002379395,0.0002223894,0.0002269038,0.0001346093,0.0003756172,0.0002636196,0.0003536172,0.0009411725],"category_scores_gemma":[0.003296824,0.0001399946,0.0001206013,0.0002305239,0.0003367397,0.0004784302,0.000232097,0.0001591594,0.0002004379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001703719,"about_ca_system_score_gemma":0.00009010064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003384533,"about_ca_topic_score_gemma":0.0004454088,"domain_scores_codex":[0.9995864,0.0001371192,0.00001966484,0.00006967045,0.00015733,0.00002982772],"domain_scores_gemma":[0.9963916,0.002737296,0.0003805687,0.0001814613,0.0002563694,0.00005273125],"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":[0.0008018896,0.00007698062,0.008742549,0.0001631031,0.0000450332,0.0004170341,0.000138719,0.01733766,0.9484397,0.0002796835,0.00009493661,0.02346285],"study_design_scores_gemma":[0.00001767894,0.0008478811,0.02118273,0.00001661947,0.0000556858,0.0007015717,0.0001584729,0.06617471,0.9097158,0.0002684268,0.0008348589,0.00002565944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721751,0.0002501123,0.02626486,0.00004543548,0.00001852539,0.00001968592,0.00005809796,0.0001258798,0.001042281],"genre_scores_gemma":[0.9976318,0.00006754215,0.001981602,0.00001579446,0.000002733507,0.000003948822,0.00001761823,0.000009677148,0.0002693793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009411725,"threshold_uncertainty_score":0.003148556,"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."}}