{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006868565,0.000431232,0.0001722728,0.001472892,0.002072185,0.001077587,0.0007209122,0.0004547616,0.01026875],"category_scores_gemma":[0.00100592,0.000428644,0.0002267357,0.003413301,0.0005245281,0.0004268908,0.0008953101,0.0004220572,0.00142931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01596286,"about_ca_system_score_gemma":0.03537655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9680246,"about_ca_topic_score_gemma":0.9904379,"domain_scores_codex":[0.9990622,0.00005151345,0.0000328175,0.0001074003,0.0005988424,0.000147169],"domain_scores_gemma":[0.9984472,0.0001063657,0.00006793199,0.00005423867,0.001164007,0.0001601887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002355667,0.0001248062,0.09010152,0.00157466,0.00005704526,0.001441427,0.003396936,0.001753799,0.01511307,0.001724765,0.1880416,0.6964349],"study_design_scores_gemma":[0.00003780563,0.0001406318,0.3783839,0.0004072914,0.00004146592,0.0003825242,0.002809556,0.001623177,0.004175859,0.0003369842,0.6116123,0.00004848186],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3159052,0.09514836,0.01445036,0.02795803,0.001567472,0.001664015,0.02245789,0.001401056,0.5194476],"genre_scores_gemma":[0.4277204,0.07289279,0.01444763,0.001073298,0.0003125813,0.0001879433,0.008022225,0.0002986032,0.4750445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03197539,"threshold_uncertainty_score":0.1158192,"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."}}