{"id":"W1974021426","doi":"10.1190/1.3011019","title":"Using reversed polarity airborne transient electromagnetic data to map tailings around mine sites","year":2008,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Transient (computer programming); Polarizability; Conductivity; Constant (computer programming); Polarity (international relations); Transient response; Loop (graph theory); Electrical resistivity and conductivity; Tailings; Sign (mathematics); Frequency response; Function (biology); Geology; Geophysics; Physics; Mechanics; Materials science; Mathematical analysis; Mathematics; Chemistry; Computer science; Electrical engineering; 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":[0.0004818778,0.0001584905,0.0002310024,0.00005610517,0.0003608261,0.00004148402,0.0006453958,0.00005357286,0.0002224814],"category_scores_gemma":[0.000178717,0.0001067277,0.00005437679,0.000592353,0.0001037892,0.0001552101,0.00003431751,0.0002824925,0.00069266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007961098,"about_ca_system_score_gemma":0.00004233237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001502181,"about_ca_topic_score_gemma":0.0004627514,"domain_scores_codex":[0.9985067,0.0001803934,0.0001854326,0.0003806837,0.0002447662,0.0005020777],"domain_scores_gemma":[0.9988797,0.0003691009,0.00004226979,0.0005072022,0.00002999783,0.0001717255],"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":[0.001218488,0.0006738887,0.09551214,0.0003016863,0.0003041364,0.0003812595,0.006533437,0.007659422,0.5271378,0.000342876,0.06700567,0.2929292],"study_design_scores_gemma":[0.0008815846,0.001631977,0.7693033,0.00007053006,0.0002238113,0.0002186362,0.0001105354,0.123015,0.006864055,0.003045811,0.09351092,0.00112388],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949494,0.0005004042,0.0009531577,0.002473849,0.0001958898,0.0002026231,0.00003847141,0.0000529028,0.0006333197],"genre_scores_gemma":[0.984212,0.00001332425,0.01289823,0.0010952,0.0003633701,5.001822e-7,0.00007867187,0.000005419997,0.001333315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6737911,"threshold_uncertainty_score":0.8902975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1134248063527225,"score_gpt":0.2958124724518241,"score_spread":0.1823876660991016,"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."}}