{"id":"W2890305232","doi":"10.3390/su10093318","title":"The Greening of Terminal Concessions in Seaports","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Port (circuit theory); Context (archaeology); Business; Enforcement; License; Variety (cybernetics); Jurisdiction; Industrial organization; Environmental economics; Economics; Engineering; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.01000219,0.0003805473,0.000287407,0.001423678,0.002590765,0.004800641,0.00118218,0.001396394,0.004580475],"category_scores_gemma":[0.01627498,0.0002895289,0.0005267853,0.001460164,0.003808758,0.003888152,0.003054693,0.001562303,0.0004827232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004988987,"about_ca_system_score_gemma":0.003849179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006540982,"about_ca_topic_score_gemma":0.01562909,"domain_scores_codex":[0.9892748,0.006097843,0.0003410672,0.0006013438,0.002700964,0.0009840261],"domain_scores_gemma":[0.9872025,0.004803281,0.002454678,0.001724203,0.002536864,0.001278433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001338086,0.00249211,0.184299,0.001154117,0.0002278816,0.005541545,0.06003531,0.1041995,0.03640155,0.2193763,0.004565941,0.3803687],"study_design_scores_gemma":[0.0001661385,0.005889182,0.5028746,0.001959733,0.0003053598,0.001739485,0.1296978,0.0645726,0.04529445,0.06781935,0.1791616,0.0005196758],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.930484,0.0001843882,0.01300093,0.0007186427,0.00003136583,0.0002727202,0.00004227671,0.00009088901,0.05517482],"genre_scores_gemma":[0.98726,0.0001181436,0.005661781,0.00004990104,0.000008659269,0.00006026986,0.00003257308,0.00001780317,0.006790898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01000219,"threshold_uncertainty_score":0.05289727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006204998188165253,"score_gpt":0.2524952093388549,"score_spread":0.2462902111506897,"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."}}