{"id":"W3087437672","doi":"10.1002/nav.21948","title":"Subsidy design in a vessel speed reduction incentive program under government policies","year":2020,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Subsidy; Stackelberg competition; Port (circuit theory); Incentive; Profit (economics); Government (linguistics); Business; Public economics; Economics; Environmental economics; Finance; Microeconomics; Engineering; Market economy","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":[0.002694878,0.000563123,0.001069575,0.0006023311,0.0005048631,0.001111181,0.0009936861,0.001469784,0.003982684],"category_scores_gemma":[0.005722845,0.0004940854,0.0006009644,0.0003830766,0.001102587,0.001663638,0.001026503,0.001031141,0.000189276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002329595,"about_ca_system_score_gemma":0.002628592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003638338,"about_ca_topic_score_gemma":0.002409275,"domain_scores_codex":[0.9981763,0.0009735459,0.00005491883,0.000236499,0.0001746949,0.0003839794],"domain_scores_gemma":[0.9972048,0.001617273,0.0004430155,0.0001653008,0.0003108157,0.000258686],"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":[0.0007567336,0.001074553,0.003130649,0.0002216523,0.00007053233,0.0002937144,0.0001616872,0.8548279,0.004970593,0.09735578,0.0009548664,0.03618142],"study_design_scores_gemma":[0.0003408626,0.000553468,0.001687209,0.00003194482,0.0000530315,0.00003426368,0.0001204541,0.9704718,0.001476449,0.02405242,0.00115821,0.000019777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.655021,0.0001623265,0.3269036,0.0009621106,0.00005934506,0.0007726718,0.0000962073,0.0003055214,0.01571731],"genre_scores_gemma":[0.9861085,0.00004288894,0.01225606,0.00004421785,0.000005484477,0.0001207433,0.00001176435,0.000007341575,0.001402914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003982684,"threshold_uncertainty_score":0.01690245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1635511161109822,"score_gpt":0.3793721493202123,"score_spread":0.2158210332092302,"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."}}