{"id":"W4255326736","doi":"10.2139/ssrn.3925446","title":"Production Network and GDP Growth: A Decomposition Approach","year":2021,"lang":"en","type":"article","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":"University of Waterloo","funders":"","keywords":"Decomposition; Production (economics); Econometrics; Economics; Macroeconomics; Chemistry","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":[0.0009936549,0.00083025,0.0007383483,0.001908821,0.0003087676,0.001961174,0.0005978821,0.000666925,0.01235994],"category_scores_gemma":[0.002285192,0.0004597913,0.001427799,0.002582349,0.0005445264,0.001707025,0.001023462,0.0009843947,0.001111935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116859,"about_ca_system_score_gemma":0.001298628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009208778,"about_ca_topic_score_gemma":0.006336222,"domain_scores_codex":[0.99959,0.0001965504,0.00001433719,0.00006552682,0.00006424348,0.00006945508],"domain_scores_gemma":[0.9986838,0.0008339321,0.0001295495,0.00009609614,0.0001627529,0.0000939816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001608476,0.0002111784,0.01724562,0.000171906,0.0003844187,0.0002610045,0.0002187573,0.3585895,0.001497989,0.5544705,0.009018622,0.05776959],"study_design_scores_gemma":[0.00002462688,0.00004868762,0.007645465,0.00005314315,0.000120517,0.00007625222,0.0001940088,0.764398,0.0003124965,0.2209603,0.006144992,0.00002147647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1742198,0.001916434,0.7669266,0.002121084,0.0001760654,0.0001457083,0.004025574,0.0003472452,0.05012147],"genre_scores_gemma":[0.8713387,0.002695005,0.08557702,0.0001370195,0.0002980553,0.0003223773,0.002511835,0.0001208944,0.03699916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01235994,"threshold_uncertainty_score":0.04134816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01379960397922805,"score_gpt":0.201105511006178,"score_spread":0.18730590702695,"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."}}