{"id":"W4236654832","doi":"10.32920/ryerson.14656935","title":"Mapping mining waste : an investigation of the impact of mining activities on settlement patterns","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Nickel Institute","funders":"","keywords":"Settlement (finance); Mosaic; Land use; Geography; Production (economics); Environmental planning; Sand mining; Environmental resource management; Business; Environmental science; Civil engineering; Engineering; 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":[0.0006430029,0.0002065345,0.0003551475,0.002180103,0.0003435773,0.0008882572,0.0004068043,0.000422776,0.0008956131],"category_scores_gemma":[0.002155597,0.0001715272,0.0003945837,0.00401205,0.0003736966,0.0007708072,0.0006167029,0.0001929587,0.0002083538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003299344,"about_ca_system_score_gemma":0.000430925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008093546,"about_ca_topic_score_gemma":0.01325835,"domain_scores_codex":[0.9995444,0.0001429838,0.00002816952,0.00007193394,0.0001596405,0.00005283675],"domain_scores_gemma":[0.998991,0.0005050615,0.0001720937,0.0001214712,0.0001491699,0.00006124788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002566007,0.0002906602,0.838655,0.0003111048,0.0001534823,0.001075641,0.004093066,0.0349461,0.009736749,0.003210671,0.0008720967,0.1063988],"study_design_scores_gemma":[0.00001932947,0.0003253274,0.8449928,0.00006899905,0.00007672043,0.001118108,0.01182581,0.1275388,0.005406413,0.003143127,0.005442315,0.00004219058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930159,0.0000758728,0.00438742,0.00005817275,0.000003734804,0.00002660626,0.0003624845,0.00003055373,0.002039294],"genre_scores_gemma":[0.9920947,0.0001024045,0.006842538,0.000005811222,0.0000040324,0.00001519447,0.0003254178,0.00001023892,0.0005997063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008093546,"threshold_uncertainty_score":0.01609284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02665271756118955,"score_gpt":0.2405092698088085,"score_spread":0.2138565522476189,"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."}}