{"id":"W4404578558","doi":"10.4236/ti.2024.154013","title":"The Impact of Electric Power on Industrialization in Mongolia","year":2024,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Russia and Soviet political economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Industrialisation; Power (physics); Electric power; Environmental science; Economics; Natural resource economics; Market economy; Thermodynamics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003440924,0.00008661752,0.00008982115,0.0004326616,0.0003087778,0.0005625893,0.0001162063,0.00012585,0.0009986445],"category_scores_gemma":[0.0007236369,0.00007341702,0.000174668,0.0006401291,0.0003603974,0.000274667,0.0004993968,0.000196861,0.00006109426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001407344,"about_ca_system_score_gemma":0.0009500735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03415328,"about_ca_topic_score_gemma":0.04987878,"domain_scores_codex":[0.9997339,0.000098645,0.00001205122,0.00001637349,0.00002796442,0.0001110661],"domain_scores_gemma":[0.9995203,0.0001226476,0.0001802621,0.00001789059,0.00009170853,0.00006718875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004807069,0.00003935193,0.9838685,0.00003571772,0.00004476931,0.0003910415,0.001796826,0.001908642,0.000845395,0.002084043,0.0001838827,0.008753674],"study_design_scores_gemma":[0.000001245174,0.00001944261,0.9971458,0.00001131263,0.000008409321,0.0000506708,0.001218122,0.0005044275,0.0001094679,0.00009352873,0.0008357434,0.000001720642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982532,0.0001601386,0.00003118205,0.00006604527,0.000001157957,0.000001071955,0.00002416678,9.627508e-7,0.001462074],"genre_scores_gemma":[0.9996648,0.00008689735,0.00001579553,0.000005845437,0.000001213408,5.649268e-7,0.00002312506,3.602226e-7,0.000201386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03415328,"threshold_uncertainty_score":0.067909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609106835368532,"score_gpt":0.3269366341715994,"score_spread":0.3108455658179141,"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."}}