{"id":"W2793184882","doi":"10.1016/j.landusepol.2018.03.006","title":"The changing nature of mining towns: Reflections from Australia, Canada and South Africa","year":2018,"lang":"en","type":"article","venue":"Land Use Policy","topic":"Mining and Resource Management","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Settlement (finance); Boom; Government (linguistics); Bust; State (computer science); Politics; Ideology; Globalization; Political science; Economy; Economic growth; Business; Economics; Law; Engineering","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":[0.002171829,0.0003148033,0.0004378379,0.001028544,0.01771079,0.008462903,0.001410802,0.003725004,0.005382714],"category_scores_gemma":[0.005929852,0.0003395207,0.0002910377,0.002940779,0.01070989,0.002811318,0.005418819,0.008323619,0.0002205048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04126762,"about_ca_system_score_gemma":0.06406424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9523045,"about_ca_topic_score_gemma":0.9852347,"domain_scores_codex":[0.9973972,0.0004594469,0.00004889751,0.0001222323,0.0003812752,0.00159102],"domain_scores_gemma":[0.9955766,0.001585881,0.000277585,0.00007284292,0.001018557,0.001468582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001525289,0.0001139509,0.02079427,0.0005818388,0.00004704576,0.004475939,0.815081,0.0007099536,0.001421256,0.07000874,0.03855081,0.04806266],"study_design_scores_gemma":[0.00001073335,0.00003026867,0.03151322,0.0005019687,0.00002912093,0.0002505457,0.7669082,0.0001207866,0.0003717035,0.003679577,0.1965309,0.00005294504],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6469782,0.01014878,0.0004631151,0.2435195,0.0005568111,0.00007850318,0.0002055194,0.00001073361,0.0980388],"genre_scores_gemma":[0.9364017,0.00834454,0.0003318591,0.02065649,0.0001110995,0.00003435137,0.00003901507,0.00003092486,0.03405007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04769546,"threshold_uncertainty_score":0.2994189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02942046689924055,"score_gpt":0.259655655890786,"score_spread":0.2302351889915455,"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."}}