{"id":"W7095180954","doi":"","title":"Some Firm Level Evidence from India ∗","year":2002,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Total factor productivity; Productivity; Investment (military); Quarter (Canadian coin); Corporate governance; Disadvantage; Capital (architecture); Value (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007131542,0.0002090082,0.0002679885,0.0032881,0.0006920397,0.001752188,0.0005422824,0.0003610709,0.01018017],"category_scores_gemma":[0.005307836,0.0002207315,0.0003775031,0.008955463,0.0005656306,0.0004791604,0.0010552,0.0006200708,0.001539873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007767903,"about_ca_system_score_gemma":0.0008163463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07317749,"about_ca_topic_score_gemma":0.1338015,"domain_scores_codex":[0.9988497,0.0002048939,0.0001006737,0.0002018559,0.0003520876,0.0002907313],"domain_scores_gemma":[0.9856701,0.005958671,0.005198102,0.0008267431,0.001692334,0.0006539585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000818308,0.00007378239,0.96748,0.000577591,0.0002411154,0.0004774182,0.001809671,0.0004328924,0.0004523678,0.002488379,0.009645065,0.01623993],"study_design_scores_gemma":[0.000004070696,0.00002638874,0.9906152,0.00005471854,0.00007393568,0.0001133377,0.001309609,0.0001219178,0.0002993467,0.0001459002,0.007227006,0.00000861952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8873436,0.004017595,0.001189814,0.004109465,0.00006925469,0.00003583121,0.02183079,0.0001226854,0.08128086],"genre_scores_gemma":[0.9902518,0.001206869,0.0002646727,0.0005577224,0.00004117508,0.00001468639,0.005404758,0.000009817918,0.002248439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07317749,"threshold_uncertainty_score":0.1455031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1472278879936069,"score_gpt":0.222394005928764,"score_spread":0.07516611793515701,"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."}}