{"id":"W2127837986","doi":"10.2139/ssrn.1787256","title":"Investment-Cash Flow Sensitivity Cannot Be a Good Measure of Financial Constraints: Evidence from the Time Series","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Cash flow; Sensitivity (control systems); Measure (data warehouse); Series (stratigraphy); Finance; Investment (military); Economics; Flow (mathematics); Time series; Econometrics; Business; Monetary economics; Computer science; Mathematics; Statistics; Data mining; Engineering; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00170144,0.0002070209,0.0002663878,0.00004556033,0.0002527076,0.00007319032,0.000317027,0.00007730934,0.0001536425],"category_scores_gemma":[0.0004432437,0.0001550397,0.0001308087,0.0003136481,0.0002307626,0.001392774,0.00008332348,0.0008491633,0.00007669067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001678755,"about_ca_system_score_gemma":0.00143127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00326429,"about_ca_topic_score_gemma":0.01439321,"domain_scores_codex":[0.9980206,0.00005454821,0.0003212669,0.0002246197,0.0003738705,0.001005029],"domain_scores_gemma":[0.998804,0.00006667124,0.0005991965,0.0002474851,0.000267869,0.0000147435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002051431,0.0005757199,0.5214411,0.0001113991,0.0007581335,0.0002744113,0.00201488,0.0001268028,0.01195651,0.3653924,0.01997009,0.07532715],"study_design_scores_gemma":[0.002230725,0.0002990031,0.7661871,0.001012506,0.0005106742,0.0003506097,0.001116437,0.0006266683,0.001337481,0.2105528,0.01477748,0.000998429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898247,0.001453843,0.002567721,0.002753268,0.0003577275,0.0002552911,0.00004984797,0.00004198539,0.00269569],"genre_scores_gemma":[0.9964868,0.0004221417,0.0001170466,0.001676321,0.0008912199,0.000004719603,0.00000542018,0.00001919578,0.0003770778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.244746,"threshold_uncertainty_score":0.8031747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02213303767493829,"score_gpt":0.1928096603851675,"score_spread":0.1706766227102292,"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."}}