{"id":"W2097022061","doi":"10.21083/surg.v7i1.2025","title":"Applying and assessing free market environmentalism to the Democratic Republic of Congo’s coltan resources: Challenges and possibilities","year":2014,"lang":"en","type":"article","venue":"SURG Journal","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Ottawa","funders":"","keywords":"Environmentalism; Democracy; Property rights; Free market; Resource (disambiguation); Incentive; Environmental pollution; Political science; Economics; Business; Law and economics; Law; Market economy; Environmental protection; Politics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.007405306,0.0005943182,0.00039093,0.003750974,0.004063528,0.008745086,0.001049755,0.001916403,0.002629375],"category_scores_gemma":[0.01743809,0.0002141545,0.0004047696,0.004339627,0.01185728,0.008943185,0.004906422,0.002314965,0.00009708799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01719113,"about_ca_system_score_gemma":0.006617465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1248558,"about_ca_topic_score_gemma":0.1965076,"domain_scores_codex":[0.9944738,0.003793062,0.0001460534,0.000335614,0.0006053013,0.0006461934],"domain_scores_gemma":[0.9874679,0.008710359,0.001881664,0.0003145003,0.001179191,0.0004464135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008030293,0.0002747253,0.121711,0.0007680349,0.0001187888,0.001946531,0.02915161,0.01395328,0.0004793534,0.7689991,0.004587683,0.05792963],"study_design_scores_gemma":[0.00004035393,0.0003091223,0.1516538,0.004386046,0.0001485737,0.0006210001,0.2714463,0.03079712,0.002768092,0.4196145,0.1180182,0.0001969299],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6942368,0.01417248,0.01731987,0.04279154,0.0001639424,0.0005030124,0.0005594616,0.00002066807,0.2302322],"genre_scores_gemma":[0.9928944,0.002183726,0.002524477,0.0009388465,0.00003123267,0.0001230338,0.00006950396,0.000006195719,0.001228608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1248558,"threshold_uncertainty_score":0.2482581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284888600399685,"score_gpt":0.1984558380236069,"score_spread":0.18560695201961,"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."}}