{"id":"W7097065488","doi":"","title":"Finance Constraints and Inventory Investment: Empirical Tests with Panel Data","year":2004,"lang":"en","type":"article","venue":"","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Panel data; Empirical research; Test (biology); Production (economics); Measure (data warehouse)","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":[0.004803817,0.0009064953,0.001557022,0.001494789,0.001082475,0.004221339,0.001937232,0.002724599,0.02913481],"category_scores_gemma":[0.02382394,0.0008140424,0.001859581,0.002904775,0.001211808,0.002610455,0.001355775,0.003648031,0.00294353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002181709,"about_ca_system_score_gemma":0.001473125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06573476,"about_ca_topic_score_gemma":0.03740856,"domain_scores_codex":[0.9979938,0.0008350809,0.0001706115,0.0002696007,0.0001808219,0.0005500326],"domain_scores_gemma":[0.9215959,0.05726472,0.01380624,0.002314066,0.001373893,0.003645174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004264643,0.001586867,0.8787494,0.0002651898,0.001719675,0.0009528718,0.0004672103,0.06721865,0.0004179954,0.009922876,0.0171242,0.01731038],"study_design_scores_gemma":[0.001138097,0.001600725,0.8134972,0.0002994272,0.002406636,0.0004985827,0.003353695,0.1474679,0.001583439,0.01585395,0.01204341,0.0002568425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756675,0.001714527,0.002237515,0.002336402,0.0000986057,0.00007018178,0.01045974,0.00009116797,0.007324292],"genre_scores_gemma":[0.9788327,0.0008401998,0.0004714024,0.0001600481,0.0001042636,0.00005625842,0.01361679,0.00002575168,0.005892578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06573476,"threshold_uncertainty_score":0.1307042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2418441602979636,"score_gpt":0.2765807901886332,"score_spread":0.03473662989066956,"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."}}