{"id":"W2332237314","doi":"10.1071/aseg2006ab097","title":"Field Tests of Geotech’s Airborne AFMAG EM System","year":2006,"lang":"pt","type":"article","venue":"ASEG Extended Abstracts","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro Geotech (Canada); Thornhill Medical (Canada)","funders":"","keywords":"Test site; Range (aeronautics); Remote sensing; Fixed wing; Electrical conductor; Structural basin; Marine engineering; Noise (video); Geology; Meteorology; Engineering; Environmental science; Aerospace engineering; Geography; Wing; Electrical engineering; Mining engineering; Computer science; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007659792,0.0003195263,0.0002094026,0.0003190314,0.000649019,0.0002775961,0.0004984,0.000372613,0.002025901],"category_scores_gemma":[0.001061267,0.0001176434,0.00009805564,0.0002789887,0.0003717076,0.0002774971,0.0003439552,0.0002234641,0.0004450073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008671258,"about_ca_system_score_gemma":0.001078914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05891978,"about_ca_topic_score_gemma":0.08474289,"domain_scores_codex":[0.9995831,0.00007269368,0.00001606614,0.00008152757,0.0001552681,0.0000913677],"domain_scores_gemma":[0.9989392,0.0002194981,0.00003667483,0.00006757754,0.0006286333,0.00010836],"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":[0.007656895,0.0020269,0.1461145,0.0004529863,0.0001786958,0.001805736,0.004149958,0.02606322,0.637619,0.001653274,0.01238232,0.1598965],"study_design_scores_gemma":[0.002055808,0.02842511,0.4912867,0.00009531462,0.0002255046,0.001219569,0.004429831,0.05935072,0.3810672,0.0005342974,0.03119452,0.0001154556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933588,0.00002949734,0.003462719,0.00007474476,0.0000214707,0.00009716949,0.0002799863,0.0001782878,0.002497373],"genre_scores_gemma":[0.9951472,0.00002513588,0.002167616,0.00005975094,0.000007636793,0.00003264323,0.0004096241,0.00001377656,0.002136712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05891978,"threshold_uncertainty_score":0.1171536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152921710896677,"score_gpt":0.2356563522257958,"score_spread":0.224127135116829,"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."}}