{"id":"W2554727855","doi":"10.20542/0131-2227-2016-60-11-5-13","title":"GLOBAL FORECAST OF US NATIONAL INTELLIGENCE COUNCIL","year":2016,"lang":"en","type":"article","venue":"World Economy and International Relations","topic":"Defense, Military, and Policy Studies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Regional science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006091197,0.001245748,0.0003878647,0.003273485,0.0003982905,0.001867489,0.0006218671,0.0007647076,0.01189333],"category_scores_gemma":[0.002847327,0.0002374568,0.0004714898,0.006078559,0.0001779955,0.001647127,0.000579027,0.001669899,0.01039067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003098434,"about_ca_system_score_gemma":0.002488187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.091464,"about_ca_topic_score_gemma":0.04902243,"domain_scores_codex":[0.9994223,0.00005085511,0.00003076152,0.00009223128,0.0003593686,0.00004459367],"domain_scores_gemma":[0.9984567,0.00006796348,0.0001048211,0.00007990714,0.001243182,0.00004728404],"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":[0.00006436009,0.00002345438,0.006054513,0.0002155702,0.00003383549,0.00008897224,0.00004844113,0.02057623,0.0002385753,0.0180075,0.8706402,0.08400832],"study_design_scores_gemma":[0.0000254922,0.00003766213,0.01383159,0.0002646033,0.00003677338,0.00007686469,0.0001365304,0.03167212,0.0006239286,0.008871649,0.944367,0.00005585853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01988989,0.01171939,0.03269863,0.008510849,0.007372602,0.0002727284,0.4216775,0.005120024,0.4927384],"genre_scores_gemma":[0.2203148,0.02266979,0.04353856,0.001960015,0.001534183,0.0008317696,0.5573762,0.001026776,0.1507479],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.091464,"threshold_uncertainty_score":0.1818632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09069105216291788,"score_gpt":0.263226735087418,"score_spread":0.1725356829245001,"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."}}