{"id":"W3010664565","doi":"","title":"Can Canadian Stock market provide complete hedge against Inflation","year":2020,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Stock market; Econometrics; Hedge; Stock (firearms); Inefficiency; Autoregressive model; Inflation (cosmology); Financial economics; Monetary economics; Microeconomics","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":[0.0007380188,0.0002089632,0.0003591459,0.001496071,0.0005849681,0.00175685,0.0003826817,0.0004684424,0.002829358],"category_scores_gemma":[0.009394529,0.0001363899,0.0003812043,0.001734512,0.0002844374,0.001073366,0.0003630753,0.0002991716,0.0002732752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004718436,"about_ca_system_score_gemma":0.004912746,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7353189,"about_ca_topic_score_gemma":0.7851927,"domain_scores_codex":[0.9991797,0.00004264568,0.00003477799,0.0000777314,0.000502777,0.0001624338],"domain_scores_gemma":[0.9973856,0.0003073078,0.000735272,0.0001705877,0.00119886,0.0002024634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003267242,0.00006157776,0.9020333,0.000164043,0.0002386614,0.0004239429,0.000370916,0.004602829,0.001536134,0.01185222,0.00740937,0.07098029],"study_design_scores_gemma":[0.00001908157,0.00004480272,0.9792996,0.00002925432,0.0001007613,0.0001312629,0.0003721046,0.009621678,0.000692372,0.002073508,0.007582075,0.00003366644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596579,0.002863242,0.001098494,0.002957554,0.00006140497,0.00003996925,0.003463213,0.00008519961,0.02977296],"genre_scores_gemma":[0.9966506,0.0005315355,0.0002555309,0.00008445622,0.0000242174,0.000002410058,0.001086678,0.000004265256,0.001360242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2646811,"threshold_uncertainty_score":0.5324797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03373391830597743,"score_gpt":0.2196026856205968,"score_spread":0.1858687673146194,"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."}}