{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003069556,0.0000893414,0.0001010478,0.0008068849,0.0001139713,0.0001906765,0.001292865,0.00003432888,0.000005847178],"category_scores_gemma":[0.00003059689,0.00008139021,0.00001840228,0.0001745427,0.0001101552,0.0002371494,0.0003524623,0.0001411186,0.000005587516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004649708,"about_ca_system_score_gemma":0.000006375992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003533441,"about_ca_topic_score_gemma":0.000001823301,"domain_scores_codex":[0.999237,0.000001216042,0.000183975,0.0001012147,0.0003120935,0.0001645023],"domain_scores_gemma":[0.9994659,0.000006373067,0.00009107187,0.0002193085,0.0001663843,0.00005093744],"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":[0.00003196998,0.000136284,0.006551621,0.0006073607,0.00144895,0.001310787,0.001163501,0.2635649,0.03212581,0.1631681,0.001910992,0.5279798],"study_design_scores_gemma":[0.004089456,0.0002800827,0.0542194,0.001837122,0.0002092201,0.001132208,0.005165596,0.6235664,0.01342694,0.003622064,0.2911299,0.001321668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680411,0.0003942862,0.007095333,0.00610775,0.003218513,0.00008202946,0.00000162515,0.0002402796,0.01481913],"genre_scores_gemma":[0.9964941,0.0002158675,0.003064541,0.00005739746,0.00008105038,0.000002112231,1.623616e-7,0.000009265476,0.00007547405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5266581,"threshold_uncertainty_score":0.3318996,"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."}}