{"id":"W4392928443","doi":"10.32920/25418188.v1","title":"Labor Investment Efficiency and Firm Life Cycle","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Inefficiency; Investment (military); Economics; Cash flow; Labour economics; Leverage (statistics); Monetary economics; Microeconomics; Finance","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":[0.0008548993,0.0001832407,0.0002294695,0.001208528,0.0002026528,0.001078792,0.0003098758,0.0002541542,0.002240254],"category_scores_gemma":[0.005497006,0.0001339705,0.0002522456,0.00162565,0.0003277996,0.000626748,0.0004518289,0.0003286936,0.000289799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043202,"about_ca_system_score_gemma":0.0004776189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005941036,"about_ca_topic_score_gemma":0.007117903,"domain_scores_codex":[0.9996197,0.00006531103,0.00003515489,0.00008390839,0.00008347237,0.0001124343],"domain_scores_gemma":[0.9897432,0.002644562,0.005933162,0.0004747125,0.0005947007,0.0006097222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005379497,0.00006055719,0.9855847,0.00001269075,0.00006353,0.00005686305,0.00008397077,0.004202294,0.0003594633,0.000781895,0.0002565597,0.008483602],"study_design_scores_gemma":[0.000002588195,0.0000423083,0.9938903,0.000008597887,0.00001448723,0.00003386226,0.00009477997,0.004199101,0.0003125173,0.000606274,0.0007893666,0.000005885412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960962,0.0003530248,0.0009334247,0.00008598586,0.000002679099,0.00001415626,0.0005701322,0.00001059682,0.001933778],"genre_scores_gemma":[0.9983788,0.0001119317,0.0001492667,0.000009920607,0.000004646632,0.000004170433,0.0006781309,0.000002446542,0.0006607406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005941036,"threshold_uncertainty_score":0.01181293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543227296780135,"score_gpt":0.2166686801607436,"score_spread":0.2012364071929422,"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."}}