{"id":"W2333838238","doi":"10.1190/segam2014-0133.1","title":"A multiple transmitter and receiver electromagnetic system for improved target detection","year":2014,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Transmitter; Computer science; Electronic engineering; Electrical engineering; Telecommunications; 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":[0.001152696,0.0005830186,0.0007561283,0.0009024479,0.0003332915,0.0007151936,0.0008838624,0.0008787698,0.005187788],"category_scores_gemma":[0.001483429,0.0004462324,0.0004763615,0.001903485,0.0001760508,0.001116163,0.001065073,0.0008196563,0.003006196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002863112,"about_ca_system_score_gemma":0.0004851672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006129664,"about_ca_topic_score_gemma":0.00211655,"domain_scores_codex":[0.9988124,0.0002724798,0.0000511604,0.0003176426,0.0004760257,0.00007016901],"domain_scores_gemma":[0.9990741,0.0002047876,0.00008645422,0.0002845451,0.0003044135,0.00004564881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008449272,0.0003847973,0.005793914,0.0003631137,0.0001332476,0.0002519138,0.0001781742,0.0122089,0.4127718,0.003811195,0.006004882,0.5572531],"study_design_scores_gemma":[0.000361368,0.002729002,0.03484626,0.0001018631,0.0003073039,0.002761269,0.0001079825,0.4767283,0.3767448,0.003165109,0.1017943,0.0003526619],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06736542,0.0002827946,0.9232951,0.0001420236,0.000221803,0.00019917,0.0008560229,0.004034258,0.003603347],"genre_scores_gemma":[0.1072991,0.00009272146,0.8875053,0.0001464824,0.00007371779,0.0001452655,0.0009652386,0.0001197285,0.003652371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005187788,"threshold_uncertainty_score":0.01735485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004211971536140985,"score_gpt":0.1871534435901988,"score_spread":0.1829414720540579,"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."}}