{"id":"W4387025140","doi":"10.1190/geo2023-0224.1","title":"Detecting and recovering critical mineral resource systems using broadband total-field airborne natural source audio frequency magnetotellurics measurements","year":2023,"lang":"en","type":"article","venue":"Geophysics","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Aurora College","funders":"","keywords":"Geology; Magnetotellurics; Broadband; Mineral exploration; Geophysics; Remote sensing; Mineralogy; Electrical resistivity and conductivity; Electrical engineering; Telecommunications","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":[0.00008722583,0.000239238,0.0001108056,0.0005971526,0.0001447715,0.0002210323,0.0002200021,0.0002299551,0.0005786452],"category_scores_gemma":[0.0002117862,0.00007204889,0.0000840781,0.0003184048,0.0001337002,0.0002115099,0.0002481634,0.0001328272,0.000194487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001247361,"about_ca_system_score_gemma":0.000145511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001825635,"about_ca_topic_score_gemma":0.005017166,"domain_scores_codex":[0.9999137,0.000009500929,0.000003153684,0.00002754321,0.00003294749,0.0000132789],"domain_scores_gemma":[0.9999071,0.00001755351,0.00002043068,0.000009557439,0.00003653991,0.000008743574],"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":[0.000189538,0.00009595486,0.05051144,0.0001427236,0.00003529507,0.000301675,0.0003057454,0.008109858,0.8229401,0.0004478907,0.0007318695,0.1161879],"study_design_scores_gemma":[0.00009493586,0.0008468116,0.3321919,0.00005047514,0.0001042391,0.0009022025,0.001194377,0.2072653,0.4459581,0.001616299,0.009706588,0.00006869078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9357495,0.0001019701,0.06015984,0.00005616464,0.0000191581,0.00004517916,0.0003730374,0.0003468756,0.003148255],"genre_scores_gemma":[0.9796989,0.00004432878,0.01947316,0.00001649254,0.000007196667,0.00001471424,0.0001149968,0.000009465119,0.0006207244],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001825635,"threshold_uncertainty_score":0.003629982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03326876928253524,"score_gpt":0.254223332293262,"score_spread":0.2209545630107268,"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."}}