{"id":"W3124528937","doi":"","title":"Semi-non-parametric Estimates of Substitution for Canadian Monetary Assets","year":2002,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Substitution (logic); Economics; Econometrics; Parametric statistics; Simple (philosophy); Monetary economics; Microeconomics; Mathematics; Statistics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001628874,0.0003316774,0.0003331724,0.001292872,0.0004593283,0.0008948245,0.0007912212,0.0003422566,0.003316851],"category_scores_gemma":[0.01053162,0.000220451,0.0004801768,0.001574001,0.0005255866,0.0005730617,0.0005523128,0.0005540657,0.0003211609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003084037,"about_ca_system_score_gemma":0.003616226,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5361571,"about_ca_topic_score_gemma":0.5479459,"domain_scores_codex":[0.9994823,0.0001154441,0.00002728458,0.00008880088,0.0001841475,0.0001019207],"domain_scores_gemma":[0.9972077,0.001406978,0.0004168764,0.0003673631,0.0005450098,0.00005603897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002134774,0.000074765,0.1413048,0.0002423784,0.0003295089,0.000210285,0.001175559,0.5517408,0.003868462,0.1489842,0.004304975,0.1475509],"study_design_scores_gemma":[0.00003187689,0.0000478444,0.2454112,0.0000795713,0.00008857033,0.0001565171,0.0005609734,0.7085297,0.004444853,0.03155273,0.008942037,0.0001541089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8155702,0.0003471626,0.1673631,0.0003420893,0.00001700918,0.00006634572,0.003294726,0.0004067991,0.01259263],"genre_scores_gemma":[0.9769518,0.0001597467,0.01886462,0.00002652166,0.000007983565,0.00003231799,0.001681328,0.00003950435,0.002236206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4638429,"threshold_uncertainty_score":0.9331492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01980599927634629,"score_gpt":0.2018910561114404,"score_spread":0.1820850568350941,"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."}}