{"id":"W4393934571","doi":"10.1016/j.trd.2024.104183","title":"Seaport adaptation and capacity investments under inter-port competition and climate-change uncertainty","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Competition (biology); Adaptation (eye); Climate change; Port (circuit theory); Climate change adaptation; Adaptive capacity; Business; Environmental science; Environmental resource management; Natural resource economics; Economics; Engineering; Ecology; Biology; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001957193,0.0004942333,0.000652661,0.0006287561,0.0005578897,0.003494834,0.0009045217,0.001960221,0.00861673],"category_scores_gemma":[0.01020027,0.0005038845,0.001025004,0.001666584,0.001063576,0.003689006,0.001231637,0.001748089,0.0005158497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003608633,"about_ca_system_score_gemma":0.001907054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03241894,"about_ca_topic_score_gemma":0.03409867,"domain_scores_codex":[0.9990059,0.0003265517,0.00005013777,0.0001432268,0.00007518686,0.0003991551],"domain_scores_gemma":[0.994288,0.002854358,0.001146519,0.0003124356,0.0006883885,0.0007102952],"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":[0.00125803,0.0002431574,0.07217878,0.00006123866,0.0003444072,0.000746886,0.0002507464,0.889144,0.002116183,0.0225596,0.002166448,0.008930492],"study_design_scores_gemma":[0.00009868325,0.0005873152,0.2162194,0.00006179757,0.0004299431,0.0003196096,0.006201265,0.7184538,0.003079684,0.04654879,0.007824655,0.0001750114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868122,0.0001434043,0.001849488,0.0009289883,0.00003233292,0.00001402448,0.0005975043,0.00004197848,0.009580171],"genre_scores_gemma":[0.9980134,0.00004494988,0.0001044412,0.00002758794,0.000004374956,0.00000594306,0.0001074478,0.000007411941,0.001684371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03241894,"threshold_uncertainty_score":0.06446046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.108494591746953,"score_gpt":0.2780580223247886,"score_spread":0.1695634305778356,"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."}}