{"id":"W3095888362","doi":"10.1155/2020/8892781","title":"Government Subsidies and Revenue Sharing Decisions for Port and Shipping Service Supply Chain in Emission Control Areas","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Business; Subsidy; Revenue sharing; Port (circuit theory); Revenue; Supply chain; Incentive; Service (business); Government (linguistics); Industrial organization; Profit (economics); Finance; Economics; Marketing; Microeconomics; Engineering","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":[0.003439235,0.0004623054,0.001124018,0.0007056883,0.00116856,0.002792032,0.001029513,0.002165749,0.007489923],"category_scores_gemma":[0.007237555,0.0005209072,0.001157244,0.0007283762,0.001498739,0.002890452,0.001554069,0.002055763,0.0003481131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00604737,"about_ca_system_score_gemma":0.006712365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01618013,"about_ca_topic_score_gemma":0.0122834,"domain_scores_codex":[0.9974684,0.0009962295,0.00006852798,0.0002833898,0.0002245665,0.0009589205],"domain_scores_gemma":[0.9977604,0.0011481,0.0003494945,0.0001271728,0.000304319,0.0003104502],"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":[0.0007266233,0.0005733205,0.01455587,0.0001888626,0.00009379922,0.001092734,0.0004873119,0.7034463,0.002323623,0.2441116,0.004469519,0.02793041],"study_design_scores_gemma":[0.0001828361,0.0002421476,0.008369179,0.00006202429,0.0001116483,0.0001295195,0.001426032,0.888042,0.001372013,0.09543984,0.004567821,0.00005496839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9024304,0.0003330866,0.06218258,0.003098302,0.00009033894,0.0002675202,0.0002406309,0.00009528782,0.03126173],"genre_scores_gemma":[0.9953231,0.000104322,0.001666708,0.00005800791,0.000009491013,0.00002803111,0.00002682521,0.000006643568,0.002776956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01618013,"threshold_uncertainty_score":0.04387695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137235197741832,"score_gpt":0.2307586265310932,"score_spread":0.2193862745536748,"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."}}