{"id":"W2955957446","doi":"10.2139/ssrn.2783833","title":"Financial Pooling in a Supply Chain","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pooling; Supply chain; Business; Finance; Computer science; Marketing; Artificial intelligence","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":[0.00223464,0.0005516488,0.001179565,0.001973801,0.003272511,0.007855257,0.00126784,0.004305765,0.02454049],"category_scores_gemma":[0.009715062,0.001262329,0.0013287,0.00287879,0.003151824,0.01095477,0.005322967,0.001644637,0.001613686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002627659,"about_ca_system_score_gemma":0.002387656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00875097,"about_ca_topic_score_gemma":0.004721592,"domain_scores_codex":[0.998669,0.0003463931,0.0001061594,0.0003287212,0.0002059591,0.0003437584],"domain_scores_gemma":[0.99271,0.004057723,0.001093173,0.0004867169,0.0005345988,0.001117826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001352855,0.000693809,0.02244396,0.0003391316,0.0003953725,0.004339649,0.002695312,0.1875006,0.003306787,0.7266083,0.005461015,0.04486323],"study_design_scores_gemma":[0.0001432496,0.000395407,0.003511104,0.0001217664,0.0002045978,0.0002620527,0.001940978,0.2006791,0.0006259217,0.7886339,0.003366441,0.0001154453],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8272745,0.001081,0.09810062,0.005449628,0.0001402335,0.000169445,0.0003997034,0.0002566662,0.06712814],"genre_scores_gemma":[0.9853545,0.0002185958,0.002747853,0.00008427555,0.00005027704,0.00003543384,0.00005052193,0.00001206781,0.01144649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02454049,"threshold_uncertainty_score":0.0820961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005280489242797969,"score_gpt":0.1927221519240284,"score_spread":0.1874416626812304,"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."}}