{"id":"W4385875173","doi":"10.1177/19427786231193985","title":"Poor miners and empty e-wallets: Latin American experiences with cryptocurrencies in crisis","year":2023,"lang":"en","type":"article","venue":"Human Geography","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Latin Americans; Cryptocurrency; Authoritarianism; Politics; Political economy; Sociology; Commodity; Political science; Economy; Development economics; Economics; Democracy; Law; Market economy","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":[0.0001382119,0.0001194814,0.0001536234,0.0005685014,0.0001638316,0.00007078073,0.0004892634,0.00004118169,0.000006137821],"category_scores_gemma":[0.000005219808,0.0001005654,0.00003164029,0.002214613,0.0004798214,0.0001307757,0.0001689816,0.0001265199,0.000005719136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005086246,"about_ca_system_score_gemma":0.000009725831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003524917,"about_ca_topic_score_gemma":0.0003471688,"domain_scores_codex":[0.9990187,0.0000246965,0.0001463612,0.0004020195,0.0001444475,0.0002637415],"domain_scores_gemma":[0.9994468,0.0000347176,0.00006775857,0.0003711724,0.00002863858,0.00005088018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001478565,0.0003339517,0.6945848,0.00004907488,0.00007881023,0.00006558013,0.08804011,0.00002284643,0.0003670495,0.15646,0.0123273,0.04765569],"study_design_scores_gemma":[0.0009489981,0.0007119395,0.8750002,0.00005178264,0.00001315211,0.00001068319,0.08261746,0.004671597,0.000535862,0.02549633,0.008994194,0.0009477829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954232,0.000128838,0.002014196,0.001641488,0.00001812154,0.0001383386,0.000001508769,0.0003840402,0.0002502818],"genre_scores_gemma":[0.9952804,0.00003045365,0.00421572,0.0001714513,0.000008084924,0.0002748475,0.000002710982,0.000004766873,0.00001154795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1804154,"threshold_uncertainty_score":0.4100936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168667704337234,"score_gpt":0.2466309974482913,"score_spread":0.2349443204049189,"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."}}