{"id":"W2324922213","doi":"10.1016/j.exis.2016.03.005","title":"Reinvention through regreening: Examining environmental change in Sudbury, Ontario","year":2016,"lang":"en","type":"article","venue":"The Extractive Industries and Society","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; University of Winnipeg","funders":"Government of Ontario","keywords":"Political ecology; Dominance (genetics); Politics; Environmental change; Environmental degradation; Environmental justice; Government (linguistics); Ecology; Political science; Environmental resource management; Sociology; Climate change; Environmental planning; Geography; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00119628,0.0002351013,0.0004195765,0.0007686232,0.008430307,0.002427054,0.001904006,0.000948291,0.002096921],"category_scores_gemma":[0.003010664,0.0003371662,0.0005654414,0.002816537,0.002458749,0.001304761,0.002597236,0.001456453,0.0001474969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08094136,"about_ca_system_score_gemma":0.1216226,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977248,"about_ca_topic_score_gemma":0.9995889,"domain_scores_codex":[0.9983408,0.0002790969,0.00004957713,0.0001438258,0.0003224789,0.0008640503],"domain_scores_gemma":[0.9974087,0.0003072984,0.0005267764,0.0001288088,0.0008564568,0.0007719937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002526197,0.0004828508,0.7865504,0.0002464047,0.0001105889,0.000611062,0.1631923,0.0005920634,0.0006520383,0.004418978,0.006958584,0.03593202],"study_design_scores_gemma":[0.00001485997,0.00006706801,0.8680936,0.0001269227,0.0000387788,0.00003100222,0.1194721,0.0002746313,0.0001700134,0.0002372791,0.01145279,0.00002104624],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907734,0.00040372,0.0001179816,0.001972748,0.00001589568,0.00008506743,0.0005382954,0.000005304782,0.006087519],"genre_scores_gemma":[0.9912037,0.0006760588,0.0003458005,0.0004239207,0.000007622885,0.00007365156,0.0003144695,0.000005970298,0.006948753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08094136,"threshold_uncertainty_score":0.5872734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1242678758267001,"score_gpt":0.3226541806612803,"score_spread":0.1983863048345802,"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."}}