{"id":"W7024291168","doi":"","title":"quot;To stand next to the most economically developed nationsquot;, or how magazine quot;Trade and Economic Guidequot; has spread the economic knowledge among ukrainian diaspora in Canada","year":2023,"lang":"en","type":"article","venue":"","topic":"Statistical Mechanics and Entropy","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ukrainian; Diaspora; Government (linguistics)","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":[0.0004344432,0.00032568,0.0003892416,0.0001291578,0.0003019405,0.00047166,0.0005176752,0.00004467073,0.0009597565],"category_scores_gemma":[0.00006069214,0.0002135423,0.0000512053,0.0002614499,0.00006776793,0.0001702436,0.0002859419,0.0002052781,0.0005365424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008059615,"about_ca_system_score_gemma":0.002486403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4003585,"about_ca_topic_score_gemma":0.8967677,"domain_scores_codex":[0.9981132,0.00007501716,0.000533114,0.0005547737,0.00008684837,0.0006370165],"domain_scores_gemma":[0.9983535,0.0007073005,0.0001033265,0.0004487003,0.00002708699,0.0003600165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002466455,0.00008504833,0.04767915,0.000053782,0.0004633711,0.00003260341,0.01136935,0.01286898,0.00009054446,0.3424539,0.4961278,0.08852885],"study_design_scores_gemma":[0.001812666,0.0001504288,0.1670067,0.00006999816,0.00005989856,0.000003767187,0.01438831,0.215602,0.0001661707,0.002576052,0.5970068,0.001157153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615452,0.00003590625,0.001674693,0.03011291,0.0007140063,0.001077186,0.0008364026,0.0000410921,0.003962639],"genre_scores_gemma":[0.9959875,0.0000217442,0.0005199078,0.0006324718,0.0003150738,0.0002001087,0.00005673593,0.000051111,0.002215361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4964093,"threshold_uncertainty_score":0.9999535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03411336794280164,"score_gpt":0.2562008069867833,"score_spread":0.2220874390439817,"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."}}