{"id":"W4380558361","doi":"10.1111/itor.13324","title":"Subsidy strategy for reserving flexible capacity of emergency supply production","year":2023,"lang":"en","type":"article","venue":"International Transactions in Operational Research","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Fundamental Research Funds for the Central Universities; National Social Science Fund of China; Natural Sciences and Engineering Research Council of Canada; Government of Jiangsu Province","keywords":"Subsidy; Marginal cost; Profit (economics); Business; Industrial organization; Fixed cost; Product (mathematics); Microeconomics; Production (economics); Economics; Marginal profit; Market economy","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002258553,0.0001066827,0.0001157545,0.00136525,0.000291327,0.00009495721,0.0003936922,0.0000578766,0.003420406],"category_scores_gemma":[0.0005304422,0.0001153656,0.00008577057,0.001754359,0.00006492789,0.001231368,0.0000372391,0.0002106929,0.0002721077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001236278,"about_ca_system_score_gemma":0.00008169164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003231205,"about_ca_topic_score_gemma":0.005570276,"domain_scores_codex":[0.9978728,0.00003458465,0.0005181259,0.0003554553,0.0009238953,0.0002951242],"domain_scores_gemma":[0.9981403,0.00006821387,0.00003324941,0.0002023572,0.001541824,0.00001409976],"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":[0.0002693714,0.0006180485,0.008947092,0.0004781868,0.0001121083,0.000001739605,0.0003198671,0.7870226,0.008463441,0.1684039,0.0185624,0.006801252],"study_design_scores_gemma":[0.00142656,0.00006870175,0.1232569,0.000155382,0.00002269146,0.000001793077,0.003377281,0.7191067,0.00421451,0.03652853,0.1113242,0.0005167724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9165215,0.00004233861,0.02292897,0.0295251,0.005326927,0.00216333,0.0001439309,0.0002437626,0.02310415],"genre_scores_gemma":[0.9872187,0.0001241306,0.0002935585,0.00004437464,0.0004953964,0.0005015997,0.0002653823,0.00001641748,0.01104039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1318754,"threshold_uncertainty_score":0.9974906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3044476810046702,"score_gpt":0.4244719189307021,"score_spread":0.1200242379260318,"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."}}