{"id":"W4406345431","doi":"10.2139/ssrn.5095914","title":"Easy Come, Easy Go Relationship Spending on Loan Access and Investment Efficiency","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Economic Growth and Development","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Loan; Investment (military); Business; Economics; Monetary economics; Finance; Financial system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001491149,0.0001977127,0.0005365648,0.001018284,0.0003705577,0.002184761,0.0004329463,0.001067517,0.02779903],"category_scores_gemma":[0.01125885,0.0002209255,0.0003824766,0.001531539,0.001046582,0.002205463,0.001327041,0.001450584,0.002018033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008403615,"about_ca_system_score_gemma":0.0005958314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003898017,"about_ca_topic_score_gemma":0.0057222,"domain_scores_codex":[0.9992431,0.0002473464,0.00005442788,0.00009344547,0.00009077081,0.0002709205],"domain_scores_gemma":[0.9741505,0.01444207,0.006297847,0.001298283,0.0009348771,0.002876402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002213017,0.0009974909,0.8730431,0.000115722,0.0003751362,0.0003845585,0.0006019453,0.01047898,0.001633602,0.06270558,0.005818016,0.04163284],"study_design_scores_gemma":[0.00009216075,0.0003376048,0.9308258,0.00006023174,0.0002668747,0.000287263,0.001430287,0.005099954,0.0009985631,0.05653178,0.004040581,0.00002880348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697955,0.0008116443,0.001335903,0.001364216,0.00001215284,0.00001529707,0.0007876035,0.00002893556,0.02584872],"genre_scores_gemma":[0.9924677,0.0002321473,0.0001175624,0.00007993256,0.00003322556,0.000007945758,0.0003476393,0.00001604397,0.006697754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02779903,"threshold_uncertainty_score":0.09299707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609920312052074,"score_gpt":0.2749945805571156,"score_spread":0.2488953774365949,"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."}}