{"id":"W3172794381","doi":"10.2139/ssrn.3842662","title":"Priming in inflation expectations surveys","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic, financial, and policy analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; Balsillie School of International Affairs","funders":"","keywords":"Inflation (cosmology); Priming (agriculture); Econometrics; Psychology; Economics; Keynesian economics; Biology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.02056677,0.0003668446,0.0007323044,0.0009915115,0.0008710332,0.001990868,0.0004992897,0.001832786,0.009449609],"category_scores_gemma":[0.1124801,0.0007230007,0.0002578539,0.001611843,0.0007901099,0.002356183,0.001417598,0.001218952,0.003038739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008092549,"about_ca_system_score_gemma":0.0005672259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001315095,"about_ca_topic_score_gemma":0.001456926,"domain_scores_codex":[0.9816864,0.01517595,0.0003440117,0.001408334,0.0008482735,0.0005369617],"domain_scores_gemma":[0.8907914,0.09100889,0.006975277,0.007579487,0.002391209,0.001253823],"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":[0.006655178,0.0007940825,0.3289498,0.0006878532,0.0001785099,0.0006653569,0.00711309,0.01012841,0.008459989,0.2232514,0.04877057,0.3643458],"study_design_scores_gemma":[0.000451257,0.001455437,0.4644168,0.0004918829,0.0002702065,0.001255276,0.003985884,0.1079421,0.01877509,0.3431041,0.05764021,0.0002117548],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8572928,0.00129015,0.07338212,0.005412531,0.0004138778,0.0003758534,0.001767536,0.0009455123,0.05911969],"genre_scores_gemma":[0.9900321,0.0001768307,0.005847194,0.0004103259,0.0001669441,0.0001504861,0.0003337899,0.0000475255,0.002834796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02056677,"threshold_uncertainty_score":0.1087688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02257462124647115,"score_gpt":0.2351496500673189,"score_spread":0.2125750288208477,"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."}}