{"id":"W6965407468","doi":"10.34989/sdp-2022-2","title":"Heterogeneity and Monetary Policy: A Thematic Review","year":2022,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Diversity (politics); Thematic map; Thematic analysis","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":[0.002228863,0.000709622,0.001742426,0.004086154,0.0004701163,0.003307983,0.001062959,0.00204102,0.004944928],"category_scores_gemma":[0.005761981,0.0003562054,0.0008017351,0.007034964,0.00113009,0.003148324,0.001456543,0.001970011,0.000757329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001844513,"about_ca_system_score_gemma":0.004532989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002878192,"about_ca_topic_score_gemma":0.002872865,"domain_scores_codex":[0.9993663,0.0002271764,0.00009439871,0.00009171398,0.0001509834,0.00006950713],"domain_scores_gemma":[0.9953571,0.003787491,0.0003595956,0.00005385235,0.0003258742,0.0001161191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001760402,0.0001090041,0.0007878702,0.07366247,0.0005708306,0.0002820143,0.0008225325,0.00140492,0.0004343021,0.05267364,0.09185296,0.7772235],"study_design_scores_gemma":[0.00002757858,0.00007657443,0.002200635,0.08432923,0.000477615,0.000595568,0.0008335223,0.0002804539,0.0001485056,0.02406266,0.8869239,0.00004360629],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001089561,0.9971032,0.0000791148,0.001490925,0.0004745091,0.000003615856,0.00001423138,0.000001763774,0.0007238005],"genre_scores_gemma":[0.0009840545,0.9978612,0.00006596748,0.0003145824,0.0006303919,0.000005567522,0.00001348255,0.000001381404,0.0001233425],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004944928,"threshold_uncertainty_score":0.01654243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155780704598965,"score_gpt":0.2206919402667964,"score_spread":0.1991341332208067,"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."}}