{"id":"W2953157784","doi":"10.1016/j.ijpe.2019.06.014","title":"Financing decisions in a supply chain with a capital-constrained manufacturer as new entrant","year":2019,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Interest rate; Business; Competition (biology); Supply chain; Capital (architecture); Finance; Industrial organization; Microeconomics; Economics; Marketing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00139979,0.0004258099,0.0009577696,0.001244999,0.002111106,0.005528109,0.001181523,0.004494653,0.01608173],"category_scores_gemma":[0.004640293,0.00107836,0.0007108458,0.0009350357,0.001322298,0.002780196,0.001706575,0.001913243,0.0009029687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003181278,"about_ca_system_score_gemma":0.002124846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02198943,"about_ca_topic_score_gemma":0.02076218,"domain_scores_codex":[0.9994302,0.0001494714,0.00003234923,0.0001115874,0.00005218251,0.0002240902],"domain_scores_gemma":[0.9944088,0.00315679,0.000728712,0.00007989657,0.0003224202,0.001303363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004770036,0.001873149,0.09345986,0.0002894406,0.000242843,0.03433594,0.001803931,0.7149704,0.01042213,0.09603008,0.009541237,0.03226096],"study_design_scores_gemma":[0.0003503254,0.00102293,0.01899947,0.000138595,0.0002321435,0.001464315,0.0039418,0.9382838,0.002768355,0.02809012,0.004494487,0.0002137389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800597,0.0002256693,0.004746002,0.002003995,0.00003193905,0.00008947898,0.0002681889,0.00003819583,0.01253686],"genre_scores_gemma":[0.9889774,0.0001292554,0.0009532558,0.00005032717,0.00001961877,0.00001697617,0.00007026408,0.000008661859,0.009774255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02198943,"threshold_uncertainty_score":0.05379874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016029557598602,"score_gpt":0.206855354215199,"score_spread":0.1966950586392129,"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."}}