{"id":"W4245656680","doi":"10.4133/1.2927142","title":"Application of Remote Sensing and Airborne Geophysics to Mine Tailings Monitoring, Copper Cliff, Ontario","year":2002,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2002","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McMaster University","funders":"","keywords":"Tailings; Cliff; Remote sensing; Copper mine; Geology; Mining engineering; Environmental science; Copper","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001238851,0.0001854143,0.0001885378,0.00004063279,0.00008720611,0.00002172721,0.0002474603,0.0000567487,0.000002064457],"category_scores_gemma":[0.000005583455,0.0001715228,0.00003544404,0.0001710819,0.00004793441,0.00007264606,0.0001781584,0.0001302303,0.0000302914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005004905,"about_ca_system_score_gemma":0.000003130164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006616202,"about_ca_topic_score_gemma":0.000006025365,"domain_scores_codex":[0.9989668,0.000009358037,0.0002553806,0.0003804759,0.0001914594,0.000196498],"domain_scores_gemma":[0.9991894,0.00005015299,0.0001232577,0.0005191905,0.00001929729,0.00009874372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007475704,0.00008452929,0.00018341,0.00008837251,0.00002403773,2.579168e-7,0.001640253,0.06149832,0.8821784,0.001285115,0.00007694333,0.05293287],"study_design_scores_gemma":[0.0004457552,0.0004115552,0.007613989,0.0001674209,0.0000363468,0.00001278072,0.00007766266,0.8009675,0.1660004,0.001907893,0.02172588,0.0006327705],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6748991,0.0000777946,0.3206156,0.002198613,0.00006242613,0.0007922251,0.000007141686,0.0000677934,0.001279247],"genre_scores_gemma":[0.9885924,0.00003386205,0.01058728,0.00006469642,0.00004637902,0.00001857139,0.000004064263,0.000008934884,0.000643849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7394692,"threshold_uncertainty_score":0.6994495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006536766435000323,"score_gpt":0.1681531896897077,"score_spread":0.1616164232547074,"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."}}