{"id":"W3192090834","doi":"10.2139/ssrn.4696275","title":"Large Firms and the Cyclicality of Us Labour Productivity","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada; Government of Canada; Carleton University","funders":"","keywords":"Stylized fact; Productivity; Margin (machine learning); Business cycle; Labour economics; Economics; Relevance (law); Macroeconomics","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":[0.001616882,0.0001443975,0.0002221332,0.002113909,0.0003079268,0.002058367,0.0002977293,0.0007204215,0.002420994],"category_scores_gemma":[0.01351032,0.0002251783,0.0002660902,0.004294514,0.0007653536,0.001133613,0.0007191587,0.0007965186,0.0002958784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154179,"about_ca_system_score_gemma":0.0004882349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01629518,"about_ca_topic_score_gemma":0.01717266,"domain_scores_codex":[0.9996543,0.00008599667,0.00003633111,0.00008381931,0.00006372649,0.00007574105],"domain_scores_gemma":[0.9868798,0.006804562,0.004382473,0.0006867437,0.0007335388,0.000512792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003188803,0.00006408321,0.9389981,0.00005665678,0.0001725331,0.0003337165,0.0007933248,0.009007291,0.001062037,0.01641108,0.003998101,0.02878428],"study_design_scores_gemma":[0.00001093567,0.00003481562,0.9730698,0.00003827582,0.00004153217,0.0001502458,0.0006393559,0.01032657,0.0003255804,0.0113297,0.004012791,0.00002037173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879068,0.002392638,0.001553344,0.00184539,0.0000331078,0.000007183908,0.001827371,0.00003935464,0.004394708],"genre_scores_gemma":[0.9985469,0.0004941856,0.00007909837,0.0000367554,0.00003909418,0.000002790041,0.0004032249,0.000005759521,0.0003922051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01629518,"threshold_uncertainty_score":0.03240067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261284070519443,"score_gpt":0.2192104329403236,"score_spread":0.2065975922351291,"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."}}