{"id":"W2989505126","doi":"10.1080/22020586.2019.12073169","title":"Combined potential field and airborne electromagnetic interpretation to unravel the geological history of the Curaca Valley Region, Bahia, Brazil","year":2019,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mira Geoscience (Canada)","funders":"","keywords":"Outcrop; Geology; Interpretation (philosophy); Geophysics; Context (archaeology); Scale (ratio); Electromagnetics; Field (mathematics); Exploration geophysics; Set (abstract data type); Earth science; Remote sensing; Cartography; Geomorphology; Geography; Paleontology; Computer science; Engineering; Engineering physics","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":[0.0002067144,0.0002779181,0.0002147364,0.0009103206,0.0001992614,0.0009363305,0.0004211969,0.0002645459,0.0009940777],"category_scores_gemma":[0.001004874,0.000164497,0.0003456062,0.001210032,0.0002157329,0.0004900395,0.0006578499,0.0002101382,0.0001513657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030619,"about_ca_system_score_gemma":0.001186713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2706725,"about_ca_topic_score_gemma":0.3449484,"domain_scores_codex":[0.9999055,0.00002288905,0.000006409865,0.00003161259,0.00001573703,0.00001787207],"domain_scores_gemma":[0.9998397,0.00005583039,0.00002092961,0.00002307938,0.00004761547,0.00001289151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001134028,0.0001110395,0.4118315,0.0002608312,0.0002498328,0.001480235,0.001832578,0.4342712,0.01415538,0.007453821,0.00261701,0.1256232],"study_design_scores_gemma":[0.00003825543,0.0000387225,0.2546922,0.0001030908,0.0001002262,0.0003171772,0.001937943,0.7268272,0.001842726,0.002977278,0.01107086,0.00005427121],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711336,0.0005919925,0.01552931,0.0004670158,0.0000213936,0.00004526565,0.00326165,0.0003601704,0.008589505],"genre_scores_gemma":[0.9938963,0.0001151019,0.005005311,0.0000131637,0.000003802548,0.00001233879,0.0006103219,0.00002108764,0.0003225301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2706725,"threshold_uncertainty_score":0.5381941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007092317204741597,"score_gpt":0.2088422442035913,"score_spread":0.2017499269988497,"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."}}