{"id":"W2070317036","doi":"10.2113/jeeg17.1.1","title":"Historical Development and Performance of Airborne Magnetic and Electromagnetic Systems for Mapping and Detection of Unexploded Ordnance","year":2012,"lang":"en","type":"article","venue":"Journal of Environmental and Engineering Geophysics","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Systems, Applications & Products in Data Processing (Canada)","funders":"Environmental Security Technology Certification Program; Battelle","keywords":"Unexploded ordnance; Magnetometer; Remote sensing; Geology; Boom; Environmental science; Earth science; Aerospace engineering; Engineering; Oceanography; Magnetic field","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":[0.00007996964,0.00008839866,0.0001911492,0.00003674932,0.00002315222,0.000004390271,0.00002126544,0.00002800066,2.084954e-7],"category_scores_gemma":[0.000003666865,0.00008306701,0.00001619198,0.00003596011,0.00002220423,0.00009028613,0.000014948,0.00006963314,6.28764e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003431382,"about_ca_system_score_gemma":0.000001804607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001623533,"about_ca_topic_score_gemma":2.962592e-8,"domain_scores_codex":[0.999544,0.000003997176,0.0002246611,0.0000521322,0.00006381742,0.0001114503],"domain_scores_gemma":[0.9997849,0.00004123254,0.00006698307,0.00003676485,0.000006050485,0.00006399531],"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":[0.000009809017,0.00003235752,0.0009422302,0.0005395836,0.00002149547,9.447756e-8,0.0002475401,0.0002837626,0.9596594,0.000062065,9.300902e-7,0.03820074],"study_design_scores_gemma":[0.0004913544,0.0005798837,0.9651864,0.0001217838,0.00006073639,0.00004253318,0.00007981778,0.0135433,0.01839159,0.00004347678,0.001269655,0.0001894166],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878318,0.008861934,0.003153528,0.000003923609,0.00006344793,0.00007700922,0.000001618845,0.000004846134,0.000001943135],"genre_scores_gemma":[0.9906923,0.001236421,0.007989014,7.454135e-7,0.00005416095,0.00000871605,2.404463e-7,0.0000107747,0.000007625387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9642442,"threshold_uncertainty_score":0.3387374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006725561777762277,"score_gpt":0.1578288570487889,"score_spread":0.1511032952710266,"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."}}