{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003694605,0.00005596983,0.00008641258,0.00002045601,0.00006772844,0.000008975516,0.00008920512,0.00003453979,0.00006253472],"category_scores_gemma":[0.0003766502,0.00003942493,0.00002178069,0.000109689,0.0003027206,0.00003304655,0.00003582059,0.00009145744,6.696447e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009077796,"about_ca_system_score_gemma":0.0000748968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001863425,"about_ca_topic_score_gemma":0.0002820157,"domain_scores_codex":[0.9994479,0.00002194729,0.0001959573,0.00007733606,0.00007359944,0.0001832738],"domain_scores_gemma":[0.9994549,0.00009734475,0.00002148434,0.0002167028,0.0001793786,0.00003025666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004285191,0.00007116057,0.7968758,0.0005402152,0.0000166098,0.00009929149,0.002089073,0.001797828,0.00004296576,0.01430946,0.00295427,0.1811605],"study_design_scores_gemma":[0.0003098947,0.0001155226,0.8564514,0.00004350644,0.00001384668,0.0000119863,0.002230367,0.02959708,0.0008019363,0.05021234,0.05994523,0.0002669012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982895,0.0001498127,0.001858165,0.0002615134,0.0002456862,0.0002281579,0.000004842129,0.00006884045,0.01428795],"genre_scores_gemma":[0.9995381,0.00000453053,0.0001013687,0.000005141684,0.00004880266,0.000007920543,0.000001014289,0.000005182954,0.0002879939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1808936,"threshold_uncertainty_score":0.1607702,"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."}}