{"id":"W3018422069","doi":"10.31857/s268667300008876-3","title":"President D. Trump’s Foreign Economic Reform: Preliminary Results","year":2020,"lang":"en","type":"article","venue":"USA & Canada Economics – Politics – Culture","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Christian Studies","funders":"","keywords":"China; International trade; Sanctions; Economic sanctions; Intellectual property; National security; Administration (probate law); Economics; Foreign policy; Commercial policy; Economic policy; Political science; Business; Politics; Law","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002658859,0.0003124932,0.0004199325,0.00004431366,0.0006594186,0.0001603048,0.0009480812,0.0003808465,0.0005257362],"category_scores_gemma":[0.0001858034,0.000306608,0.0001121105,0.00007127848,0.0002874663,0.0002992852,0.0002271335,0.0003773516,0.0001765301],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003886722,"about_ca_system_score_gemma":0.00298282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.486477,"about_ca_topic_score_gemma":0.7176113,"domain_scores_codex":[0.9975141,0.00005957301,0.0007485747,0.0006593477,0.000128727,0.0008896283],"domain_scores_gemma":[0.9984878,0.00007112126,0.0003194116,0.000369372,0.00004247031,0.0007098608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005521259,0.00001429239,0.001109443,0.00001482915,0.00007537211,0.0000184213,0.001768529,0.0002575731,0.000001453678,0.8606785,0.1354765,0.0005298179],"study_design_scores_gemma":[0.0006116438,0.000128777,0.003349334,0.00001393939,0.00002516197,0.000005043082,0.006507677,0.0003451918,0.0002019028,0.02132728,0.9669247,0.0005593584],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3262905,0.0001414649,0.00001261838,0.02504408,0.0007914657,0.0005236674,0.0008931389,0.000162374,0.6461408],"genre_scores_gemma":[0.9791401,0.0005048263,0.0009758658,0.007055806,0.0006642014,0.00003173355,0.0001079981,0.00003219441,0.01148727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8393512,"threshold_uncertainty_score":0.9999386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02334328342058255,"score_gpt":0.2405027475415771,"score_spread":0.2171594641209945,"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."}}