{"id":"W4412884518","doi":"10.1111/1365-2478.70061","title":"Multiscale Borehole Seismic Imaging for Mineral Exploration in the Blötberget Mining Area (Central Sweden, Ludvika)","year":2025,"lang":"en","type":"article","venue":"Geophysical Prospecting","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Iron Ore Company (Canada)","funders":"Horizon 2020 Framework Programme; Technische Universität Bergakademie Freiberg; Uppsala Universitet; European Commission","keywords":"Geology; Borehole; Economic geology; Regional geology; Geophysical imaging; Igneous petrology; Seismology; Mineral exploration; Telmatology; Geobiology; Metamorphic petrology; Mineral resource classification; Environmental geology; Engineering geology; Geophysics; Mining engineering; Geochemistry; Tectonics; Volcanism; Paleontology","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":[0.0003386087,0.0001439423,0.0001610341,0.00009086006,0.000313492,0.000138997,0.00023079,0.00003465664,0.00001877915],"category_scores_gemma":[0.0001296471,0.0001088853,0.00008592905,0.0003418178,0.00006656715,0.0003944211,0.00001772629,0.0001968198,0.000008697208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001620921,"about_ca_system_score_gemma":0.00003135625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00266195,"about_ca_topic_score_gemma":0.0001468019,"domain_scores_codex":[0.9988142,0.00005797854,0.000236305,0.0003184364,0.0001456413,0.0004273917],"domain_scores_gemma":[0.9994391,0.0002537748,0.00007143785,0.0001645638,0.00003585517,0.00003525327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001357217,0.0001702798,0.7195815,0.0001078931,0.00002682708,0.00001910562,0.006292987,0.00676193,0.00142081,0.0006216285,0.04873704,0.2161243],"study_design_scores_gemma":[0.0004226122,0.00004120106,0.09884711,0.00007845673,0.0000128661,0.000003372965,0.002211952,0.8867732,0.001262038,0.006835433,0.003346035,0.0001656817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689288,0.000165392,0.01873552,0.005516528,0.0005104401,0.0006442839,0.00002237468,0.0001920253,0.005284635],"genre_scores_gemma":[0.9939535,0.000003877103,0.003192994,0.002127814,0.0002196997,0.00001931011,0.00007591472,0.000004506026,0.000402348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8800113,"threshold_uncertainty_score":0.4440213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0182048300819165,"score_gpt":0.2473196992332367,"score_spread":0.2291148691513202,"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."}}