{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001152335,0.0001353715,0.0001504163,0.0002720999,0.0002739617,0.0001370377,0.0002575816,0.00006823044,0.00005196554],"category_scores_gemma":[0.00009121019,0.0001231027,0.00006758289,0.0005348806,0.00005731309,0.0007187429,0.00006868179,0.001013029,0.000399155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000228408,"about_ca_system_score_gemma":0.0004025339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002631748,"about_ca_topic_score_gemma":0.003783986,"domain_scores_codex":[0.9976306,0.000005422819,0.0002514183,0.0001635276,0.000175025,0.001773996],"domain_scores_gemma":[0.9996722,0.000006943217,0.0001390564,0.00009182965,0.00008223508,0.000007676397],"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":[0.0001845209,0.00008984808,0.06806397,0.00001993242,0.00001307302,0.00001795963,0.0001326621,0.00001795717,0.0002181102,0.8386642,0.0008039129,0.09177387],"study_design_scores_gemma":[0.001419903,0.0001494464,0.07403896,0.0001531607,0.00001940617,0.0001026805,0.0003721701,0.001883609,0.00004208089,0.8594333,0.06190241,0.0004829031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901479,0.0006317147,0.000746757,0.0008799906,0.0007062867,0.0000823894,2.55306e-7,0.00003858036,0.006766146],"genre_scores_gemma":[0.9904311,0.0002235102,0.00002333846,0.0008809803,0.007849586,0.000003521494,0.000001964123,0.00001835435,0.0005676584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09129096,"threshold_uncertainty_score":0.5130464,"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."}}