{"id":"W2167982971","doi":"10.17016/ifdp.2003.774","title":"How do Canadian Hours Worked Respond to a Technology Shock?","year":2003,"lang":"en","type":"article","venue":"International Finance Discussion Paper","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shock (circulatory); Technology shock; Capital (architecture); Economics; Demographic economics; Econometrics; Monetary policy; Monetary economics; History; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000289233,0.0001894419,0.0002682884,0.0007990286,0.0001308166,0.000163591,0.0004343936,0.0001667271,0.002115399],"category_scores_gemma":[0.0003959468,0.0001582556,0.0001073107,0.000314464,0.00004540942,0.0004268968,0.00004233649,0.0001850964,0.001684198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000312769,"about_ca_system_score_gemma":0.00005508012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002796466,"about_ca_topic_score_gemma":0.004619291,"domain_scores_codex":[0.998599,0.00001355752,0.0003735427,0.0004982625,0.00004563175,0.0004700057],"domain_scores_gemma":[0.9992304,0.00001641672,0.0001471704,0.0003914988,0.00002126122,0.0001932652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006916944,0.00007757054,0.1404069,0.000004012017,0.00008772092,0.00003522164,0.0006383047,0.001015784,0.0001168902,0.8076159,0.04012509,0.009807355],"study_design_scores_gemma":[0.0003519212,0.00003622879,0.04783147,0.00002988417,0.000001654398,0.00001546067,0.0001415324,0.0001275601,0.0001217191,0.03328315,0.9177746,0.0002848638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7867728,0.0007072946,0.0008067049,0.1092556,0.002729945,0.0003554822,0.0005259776,0.00006062472,0.09878558],"genre_scores_gemma":[0.9554479,0.0000769645,0.00105548,0.002204043,0.0001066248,0.00005350064,0.00001763442,0.00002608267,0.04101184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8776495,"threshold_uncertainty_score":0.9990931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02747450628644668,"score_gpt":0.226696421257666,"score_spread":0.1992219149712193,"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."}}