{"id":"W2750534418","doi":"10.4018/ijssmet.2017100103","title":"Ivory Coast","year":2017,"lang":"en","type":"article","venue":"International Journal of Service Science Management Engineering and Technology","topic":"Mining and Resource Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Livelihood; Business; Order (exchange); Gold mining; Natural resource economics; Agriculture; Geography; Economics; Finance","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":[0.0002215323,0.000520525,0.0003269843,0.0007763226,0.002208433,0.002253557,0.0007163979,0.0007694234,0.07632349],"category_scores_gemma":[0.0005124227,0.000343576,0.0002370668,0.000603196,0.0006713899,0.0006279498,0.002327239,0.0009223146,0.01567874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001803572,"about_ca_system_score_gemma":0.003176728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.037152,"about_ca_topic_score_gemma":0.06293245,"domain_scores_codex":[0.99976,0.00002162837,0.00001694328,0.00007027061,0.00004723233,0.00008395265],"domain_scores_gemma":[0.9997891,0.00001888362,0.0000295854,0.00002521325,0.00006559652,0.00007176514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008798506,0.0003132802,0.05941131,0.002631871,0.00007698972,0.006149935,0.005416337,0.0009010079,0.0203405,0.04796036,0.2675613,0.5883572],"study_design_scores_gemma":[0.00002033148,0.00009513006,0.03647913,0.0004654299,0.000007958141,0.0007917921,0.002423162,0.000119924,0.001089043,0.0006379882,0.9578526,0.00001754938],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1232516,0.008023596,0.002508157,0.003264198,0.00167425,0.000543173,0.006827163,0.0006621737,0.8532457],"genre_scores_gemma":[0.1576992,0.004462889,0.005672572,0.001425072,0.0001085871,0.0002586663,0.005167919,0.0002274838,0.8249776],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07632349,"threshold_uncertainty_score":0.2553275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005446638384777658,"score_gpt":0.2146794478997922,"score_spread":0.2092328095150146,"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."}}