{"id":"W3088481780","doi":"","title":"How Recession Affects the Industrial Firms in Iran","year":2018,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Recession; Economics; Business; Great recession; Natural resource economics; Keynesian economics","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":[0.0003351162,0.0001114731,0.0001866113,0.000587328,0.0006422532,0.001358439,0.0002819948,0.0004521676,0.002167311],"category_scores_gemma":[0.0014631,0.00009835755,0.0002339172,0.00129134,0.0005008708,0.00064572,0.0006212116,0.0006722587,0.0002397134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00226643,"about_ca_system_score_gemma":0.00182065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1367624,"about_ca_topic_score_gemma":0.1609145,"domain_scores_codex":[0.9996917,0.00004071264,0.00001508232,0.00002436094,0.00004766195,0.0001803702],"domain_scores_gemma":[0.9992349,0.00007137981,0.0003411848,0.00001729292,0.000188436,0.0001467661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001437342,0.00008607467,0.9810557,0.00002565671,0.00004653833,0.000499383,0.001808142,0.001630459,0.000283785,0.001584744,0.003162327,0.009673496],"study_design_scores_gemma":[0.000004759997,0.00002335806,0.9908929,0.000009123513,0.00001975754,0.00006140833,0.006062924,0.0007044725,0.00005687115,0.0003503314,0.001807688,0.000006485849],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964826,0.0002391598,0.00002620392,0.001168248,0.00001022111,0.000002984611,0.0001159973,0.000002524882,0.001952039],"genre_scores_gemma":[0.9992201,0.0001946403,0.000008049363,0.00004580027,0.00001165862,7.533169e-7,0.00009649112,9.658144e-7,0.0004214707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1367624,"threshold_uncertainty_score":0.2719327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08574858295684623,"score_gpt":0.2271760846529068,"score_spread":0.1414275016960606,"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."}}