{"id":"W7018468728","doi":"","title":"Determination du taux de change de long terme application du modele generalise de la parite non-couverte des taux d'interet: Cas du Canada","year":2007,"lang":"fr","type":"other","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medium term; Term (time); Current (fluid)","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":[0.003362655,0.0007023314,0.001142852,0.001715118,0.001514589,0.003344708,0.002704002,0.001313196,0.007453493],"category_scores_gemma":[0.01499239,0.0004657564,0.001688095,0.003421483,0.0009686776,0.001180376,0.0008799788,0.001703393,0.0006898926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01982472,"about_ca_system_score_gemma":0.02847958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9818973,"about_ca_topic_score_gemma":0.9708858,"domain_scores_codex":[0.9987352,0.0003131251,0.00005166468,0.0003022905,0.000304557,0.0002930732],"domain_scores_gemma":[0.9931962,0.003774978,0.0004126663,0.0004426024,0.001907224,0.0002663137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000878469,0.0001709198,0.3007447,0.0005718692,0.001233568,0.0008504266,0.00114281,0.5123494,0.001556099,0.05310923,0.03894479,0.08844769],"study_design_scores_gemma":[0.0001548514,0.00009273303,0.2037954,0.0002005407,0.0004902285,0.000200344,0.00211395,0.7559649,0.002172848,0.01112702,0.02354537,0.0001418421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8646004,0.005527097,0.05919603,0.007007538,0.0002606098,0.0002293626,0.02400612,0.001435506,0.03773721],"genre_scores_gemma":[0.9610438,0.0008746192,0.009268592,0.0001154609,0.0000248891,0.00005822668,0.00434948,0.0001885731,0.02407653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01982472,"threshold_uncertainty_score":0.1438391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005753307656092866,"score_gpt":0.179127712773523,"score_spread":0.1733744051174302,"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."}}