{"id":"W250593744","doi":"","title":"Currency Realignment and Productivity Sustain Global Growth","year":2005,"lang":"en","type":"article","venue":"˜The œjournal of business forecasting","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Liberian dollar; Currency; Productivity; Revenue; Monetary economics; International economics; International trade; Macroeconomics; Finance","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":[0.001205117,0.001326849,0.0003986603,0.001984732,0.0006537532,0.00731535,0.0004532274,0.00139419,0.008974341],"category_scores_gemma":[0.002926888,0.0001791053,0.0002813715,0.004163905,0.0007719789,0.005647433,0.002250015,0.002286079,0.005848982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002075857,"about_ca_system_score_gemma":0.001739238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004261313,"about_ca_topic_score_gemma":0.002276873,"domain_scores_codex":[0.9995505,0.00003195364,0.00002908952,0.00005655814,0.0001873272,0.0001445994],"domain_scores_gemma":[0.9985704,0.00005687013,0.0004418964,0.00006433373,0.0005875077,0.0002790277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003504457,0.0001193284,0.01691023,0.0009946787,0.0000667132,0.0003878596,0.0005819193,0.002516013,0.002574492,0.1209567,0.2651288,0.5894129],"study_design_scores_gemma":[0.00004655868,0.0002994108,0.07128762,0.0008486517,0.0000549909,0.0002804088,0.0011651,0.001279488,0.001662657,0.05093801,0.8720759,0.00006115419],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09559778,0.1080432,0.006181436,0.08323305,0.01020545,0.0001567062,0.02265365,0.001891067,0.6720377],"genre_scores_gemma":[0.7856951,0.123739,0.005485406,0.004644083,0.004919647,0.0001613096,0.01579175,0.0004361512,0.0591276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008974341,"threshold_uncertainty_score":0.03002214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02360830098029109,"score_gpt":0.2621444409391714,"score_spread":0.2385361399588803,"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."}}