{"id":"W4200425005","doi":"10.26526/conferencearticle_61cc296bccac42.37597958","title":"ECONOMETRIC ANALYSIS OF THE VOLUME OF MUTUAL TRADE OF THE EAEU MEMBER STATES","year":2021,"lang":"en","type":"article","venue":"","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Multiplicative function; Volume (thermodynamics); Econometric model; Series (stratigraphy); Econometrics; Member states; Economics; International trade; Mathematics; Physics; Geography; Geology; Quantum mechanics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003067414,0.00004469328,0.000219669,0.00009096754,0.00007857981,0.000006434265,0.0004116847,0.00006942741,0.003714339],"category_scores_gemma":[0.0002363839,0.00002391284,0.0001911008,0.002167042,0.0004602077,0.00003778406,0.0001249105,0.00005724388,0.000002619715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003282553,"about_ca_system_score_gemma":0.0001144918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000447768,"about_ca_topic_score_gemma":0.001308915,"domain_scores_codex":[0.9992878,0.0000730545,0.0003000163,0.0001100281,0.0001228543,0.0001062523],"domain_scores_gemma":[0.9993964,0.000147621,0.0001899763,0.0002191742,0.00002894399,0.00001787276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001995633,0.0001106778,0.8031256,0.000008522597,0.0007517249,1.964715e-7,0.002669216,0.0002254409,0.00006413738,0.1860332,0.00129637,0.00571287],"study_design_scores_gemma":[0.00009655354,0.000008367871,0.9619457,0.000005762771,0.0001914888,7.792659e-8,0.007055699,0.0003712109,0.008097032,0.007021818,0.01513261,0.00007373565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9004807,0.00006591029,0.00002428401,0.002027982,0.0000868875,0.0000562952,0.00001842076,0.000007965622,0.09723157],"genre_scores_gemma":[0.9920536,0.0000888519,0.0002733294,0.00007524483,0.000004464328,0.000001644943,0.000001028243,0.000001655016,0.007500164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1790114,"threshold_uncertainty_score":0.9971964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615941587144124,"score_gpt":0.2687207480404841,"score_spread":0.2425613321690429,"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."}}