{"id":"W4410560473","doi":"10.3390/su17104743","title":"Too Much of a Good Thing? Navigating the Abundance of E&S Metrics in Ports’ Sustainability","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Fundação para a Ciência e a Tecnologia; Centro de Estudos Ambientais e Marinhos, Universidade de Aveiro","keywords":"Sustainability; Abundance (ecology); Environmental economics; Business; Environmental resource management; Computer science; Economics; Ecology; Biology","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":[0.05261215,0.000776721,0.0006606118,0.007838797,0.003576341,0.02912835,0.001663243,0.001953696,0.003612011],"category_scores_gemma":[0.1117889,0.0004690002,0.0006490759,0.01453686,0.01247403,0.03661982,0.008820021,0.004852805,0.0006895363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005311504,"about_ca_system_score_gemma":0.008508362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008743789,"about_ca_topic_score_gemma":0.01130529,"domain_scores_codex":[0.9504357,0.03116562,0.003751509,0.002287232,0.01086455,0.001495431],"domain_scores_gemma":[0.8816068,0.06691991,0.0160642,0.01045206,0.0224678,0.00248921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001925549,0.0001525438,0.105108,0.00247729,0.0002152801,0.001189029,0.08224256,0.002851603,0.002319978,0.2695128,0.04884064,0.4848978],"study_design_scores_gemma":[0.00001326654,0.0001869092,0.04012685,0.00632216,0.0001195603,0.001003389,0.2744439,0.002893117,0.00327565,0.1120396,0.5593234,0.0002520322],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3564787,0.02578961,0.06872357,0.3762722,0.003403556,0.0002258138,0.001342483,0.0005342344,0.1672298],"genre_scores_gemma":[0.9413221,0.01470623,0.02666362,0.0105381,0.0008306087,0.0001254477,0.0006136744,0.0004098665,0.004790299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05261215,"threshold_uncertainty_score":0.2782429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006258951435248568,"score_gpt":0.2730305031434228,"score_spread":0.2667715517081742,"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."}}