{"id":"W2275058037","doi":"10.14288/1.0042437","title":"Reclamation research and monitoring at Highland Valley Copper","year":2009,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Land reclamation; Environmental science; Geography; Archaeology","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":[0.0007237748,0.0002433421,0.0002528266,0.001478731,0.001680396,0.0006518231,0.0007850141,0.0004020615,0.00107051],"category_scores_gemma":[0.0008777384,0.0002117121,0.0001520856,0.001706406,0.0005181474,0.0003541299,0.0003787366,0.0003625208,0.0001762285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003068912,"about_ca_system_score_gemma":0.003060464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1687135,"about_ca_topic_score_gemma":0.3784457,"domain_scores_codex":[0.999149,0.0001148173,0.00002959693,0.0001483879,0.0003761374,0.000182148],"domain_scores_gemma":[0.9987299,0.0001197991,0.0002048877,0.00005188635,0.0007619395,0.0001316043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009197329,0.001139573,0.6257576,0.0006002069,0.00009606113,0.004371217,0.01084928,0.00607093,0.1764916,0.0005659025,0.003109355,0.1700284],"study_design_scores_gemma":[0.00004994266,0.001663054,0.9435095,0.00005405226,0.0000315612,0.0005392043,0.004793778,0.002879913,0.03792587,0.0001472782,0.0083629,0.00004297795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976206,0.00007216384,0.0004056776,0.00004143538,0.000002432683,0.00003666731,0.0001147499,0.00003239853,0.001673885],"genre_scores_gemma":[0.9930024,0.0001732026,0.00247204,0.00002748085,0.000005107197,0.00004870843,0.0003291106,0.0000132347,0.003928701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8312865,"threshold_uncertainty_score":0.335463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02551079691317141,"score_gpt":0.2217108163754098,"score_spread":0.1962000194622384,"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."}}