{"id":"W6901426597","doi":"10.6068/dp14badeb507380","title":"Trend 03/1995 - 02/2015. World Bank. Global Economic Monitor: Exchange Rate, New LCU per USD Extended Backward, Period Average | Country: Canada, 03/1995-02/2015. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 051-003-007.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Currency; Unit of account; Local currency; National bank; Equity (law); Exchange rate; Foreign-exchange reserves; Central bank; National accounts; Economic indicator","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":[0.001265418,0.001695186,0.001620377,0.004670761,0.001019394,0.003675464,0.002692898,0.001142559,0.1159687],"category_scores_gemma":[0.01048965,0.001152648,0.0008827922,0.01656394,0.000316949,0.002792156,0.001599236,0.002287557,0.1322261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004809819,"about_ca_system_score_gemma":0.009341838,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4336762,"about_ca_topic_score_gemma":0.35609,"domain_scores_codex":[0.9985172,0.0001359376,0.0002563728,0.0002933879,0.0005358694,0.0002611746],"domain_scores_gemma":[0.991743,0.0006413902,0.0007700096,0.0006610979,0.005716259,0.0004682158],"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":[0.0000137531,0.000004008613,0.0003323473,0.00009996726,0.000006219507,0.000003454369,0.000005525565,0.00003984603,0.000007460206,0.0002116642,0.9984961,0.0007798588],"study_design_scores_gemma":[0.0001181192,0.000008056126,0.008794875,0.0003506631,0.00002048348,0.00001723162,0.0001193272,0.0001654225,0.0001784526,0.0005228422,0.9896689,0.00003570634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003265992,0.00001760209,0.00001349565,0.00004870009,0.00002242758,0.000006796302,0.9991716,0.00005013179,0.0006365427],"genre_scores_gemma":[0.0001980342,0.00005249977,0.00008730137,0.00003457754,0.00001001692,0.00005360251,0.998449,0.00004526121,0.001069843],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5663239,"threshold_uncertainty_score":0.8623037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03436382177118744,"score_gpt":0.2870708479387867,"score_spread":0.2527070261675992,"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."}}