{"id":"W4413321299","doi":"10.1109/antem64578.2025.11114110","title":"Remote Sensing for Mining Detection: Comparative Analysis of Deep Learning Models","year":2025,"lang":"en","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Computer science; Deep learning; Artificial intelligence; Remote sensing; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003752373,0.002054162,0.001014144,0.002848883,0.0004434354,0.00170401,0.00180374,0.001554284,0.001495744],"category_scores_gemma":[0.00710706,0.0004085246,0.001213836,0.001577406,0.0004147022,0.0025748,0.001243812,0.001467334,0.001027819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777371,"about_ca_system_score_gemma":0.001555854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02409521,"about_ca_topic_score_gemma":0.02598575,"domain_scores_codex":[0.9984024,0.000344943,0.0001324867,0.0004516791,0.000493119,0.0001753775],"domain_scores_gemma":[0.9974808,0.001412422,0.0001566921,0.0002892219,0.0005553153,0.0001055211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008943105,0.000473116,0.02427889,0.0008807273,0.0008911142,0.0001137563,0.0001250691,0.3048668,0.005772341,0.003728082,0.01657716,0.6413985],"study_design_scores_gemma":[0.00003486457,0.0002308958,0.0046741,0.0001184538,0.0001356518,0.00007294501,0.0001080049,0.9826794,0.005249256,0.002259515,0.00440409,0.00003285817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4722053,0.03388584,0.4407507,0.003787685,0.001023235,0.0005005687,0.005749218,0.01849789,0.0235995],"genre_scores_gemma":[0.7739278,0.005246177,0.2031575,0.0008903309,0.0001701746,0.0001720315,0.01042892,0.0006915212,0.005315547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02409521,"threshold_uncertainty_score":0.04790992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03687047051528207,"score_gpt":0.280333674317379,"score_spread":0.2434632038020969,"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."}}