{"id":"W2377388980","doi":"","title":"Numerical Simulation by MRS Vertical Coil Response for Tunnel Water Detection","year":2013,"lang":"en","type":"article","venue":"Research and Exploration in Laboratory","topic":"Geoscience and Mining Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Depth sounding; Amplitude; Electromagnetic coil; Earth's magnetic field; Excitation; Mechanics; Geodesy; Computer simulation; Geology; Magnetic field; Physics; Acoustics; Optics; Engineering; Electrical 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":[],"consensus_categories":[],"category_scores_codex":[0.0006439952,0.00005950718,0.00007091131,0.0002004789,0.00009773446,0.00005659256,0.00005930195,0.0001058771,0.00001698484],"category_scores_gemma":[0.0002951518,0.00005100828,0.000007033713,0.000310045,0.00008745613,0.0005052252,0.00001603104,0.0001625692,0.00007949542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006238105,"about_ca_system_score_gemma":0.00001999188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001479837,"about_ca_topic_score_gemma":0.000008726748,"domain_scores_codex":[0.9992034,0.00007545752,0.0001298485,0.0001447086,0.0001440524,0.0003024908],"domain_scores_gemma":[0.9994619,0.0001879451,0.00000364984,0.0001017481,0.0001760138,0.00006870291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002234365,0.00004528463,0.000228024,0.00003417641,0.000004576876,0.000001247149,0.0008075798,0.01331372,0.9714431,0.0001150024,0.003775823,0.0100081],"study_design_scores_gemma":[0.000788149,0.0006500798,0.001745658,0.00001774407,0.00000148011,6.230242e-7,0.001241598,0.6011083,0.3764747,0.003038931,0.01473858,0.0001941778],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826418,0.00006672096,0.0162172,0.0006155066,0.00007141913,0.0002585687,0.000003422309,0.0001074445,0.000017877],"genre_scores_gemma":[0.9993715,0.00002547973,0.0001570394,0.000019691,0.00002048672,0.0003559174,0.00000983755,0.00001132145,0.00002871346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5949683,"threshold_uncertainty_score":0.2080057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04033638055733653,"score_gpt":0.3125635775433462,"score_spread":0.2722271969860097,"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."}}