{"id":"W1985640238","doi":"10.1007/s11027-010-9269-3","title":"Climate change and mining in Canada","year":2010,"lang":"en","type":"article","venue":"Mitigation and Adaptation Strategies for Global Change","topic":"Mining and Resource Management","field":"Engineering","cited_by":119,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina; Toronto Metropolitan University; Wilfrid Laurier University; McGill University; University of Guelph","funders":"","keywords":"Climate change; Vulnerability (computing); Prosperity; Business; Environmental resource management; Political economy of climate change; Adaptation (eye); Environmental planning; Environmental science; Political science; Computer science; Ecology","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":[0.00006845171,0.00008392824,0.00007803884,0.00003164222,0.00004884246,0.00005422451,0.00002536124,0.00003365622,0.00000515814],"category_scores_gemma":[0.000004444814,0.00008592922,0.000008203739,0.00007555175,0.00001662877,0.0001449755,0.0000102277,0.00004341322,3.373036e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000376107,"about_ca_system_score_gemma":0.00001898049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0436349,"about_ca_topic_score_gemma":0.6445185,"domain_scores_codex":[0.9995506,0.000005342311,0.0001195936,0.0001027034,0.00006717802,0.0001545861],"domain_scores_gemma":[0.9998545,0.00001564075,0.00002334869,0.00004174893,0.00001526098,0.00004950914],"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":[0.00003874515,0.00002062749,0.04205639,0.00114084,0.00004162873,0.00001766188,0.01988548,0.001704175,0.0004495686,0.1653038,0.0007118859,0.7686291],"study_design_scores_gemma":[0.001299168,0.0000619046,0.2766998,0.0001511091,0.00002424745,0.00001062869,0.06672634,0.6338989,0.00003683812,0.00109203,0.01952597,0.0004730373],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994828,0.0002644847,0.0002556121,0.0002092123,0.0002475186,0.0002568247,0.00005137524,0.00004803793,0.003838908],"genre_scores_gemma":[0.9986764,0.00009882784,0.0008258473,0.0001313746,0.00009284777,0.0001295681,0.00003219984,0.000006863285,0.000006059303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7681561,"threshold_uncertainty_score":0.9627336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0417597290211793,"score_gpt":0.2334209779410105,"score_spread":0.1916612489198312,"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."}}