{"id":"W4405183953","doi":"10.3390/jrfm17120551","title":"Risk-Averse, Integrated Contract, and Open Market Procurement with Quantity Adjustment Costs","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Procurement; Spot contract; Spot market; Purchasing; Forward contract; Microeconomics; Time horizon; Economics; Business; Commodity; Market price; Product (mathematics); Industrial organization; Operations management; Financial economics; Finance; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002868657,0.001153294,0.001462406,0.0007802864,0.0006249368,0.002461886,0.001739896,0.001425025,0.003938737],"category_scores_gemma":[0.009630032,0.001198873,0.001023526,0.001042276,0.001873277,0.003996888,0.001430268,0.001677715,0.0003378167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002247968,"about_ca_system_score_gemma":0.002053533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00517485,"about_ca_topic_score_gemma":0.0045604,"domain_scores_codex":[0.9980192,0.0006698022,0.00007266832,0.0003558399,0.0006020229,0.0002803999],"domain_scores_gemma":[0.99559,0.002566708,0.0009824114,0.0002905415,0.0003256521,0.0002446476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001611733,0.00009383333,0.000772515,0.00006326415,0.00003931413,0.0001608929,0.00006799095,0.9390191,0.001032555,0.04576452,0.0002453625,0.01257943],"study_design_scores_gemma":[0.00002848791,0.0001560904,0.0005848563,0.00001077953,0.00002775066,0.00009438053,0.00002809208,0.9703259,0.0004202644,0.02785773,0.0004413525,0.0000243546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2198422,0.0008014296,0.767472,0.0003980018,0.00004900515,0.0001786162,0.0001904047,0.000151498,0.01091698],"genre_scores_gemma":[0.9464732,0.0003160493,0.04547212,0.00004513353,0.00003872865,0.0001163488,0.00008528632,0.0000351674,0.007418028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00517485,"threshold_uncertainty_score":0.01631027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009952017817087443,"score_gpt":0.2166659799500344,"score_spread":0.206713962132947,"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."}}