{"id":"W2797374624","doi":"10.1080/08920753.2018.1451731","title":"Port Decision Maker Perceptions on the Effectiveness of Climate Adaptation Actions","year":2018,"lang":"en","type":"article","venue":"Coastal Management","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Adaptation (eye); Perception; Climate change; Port (circuit theory); Skepticism; Environmental resource management; Process (computing); Climate change adaptation; Decision maker; Environmental planning; Business; Computer science; Management science; Geography; Psychology; Environmental science; Economics; Engineering; Ecology","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":[0.009743407,0.0003836283,0.0003340078,0.001037274,0.00138786,0.005010059,0.0004884267,0.001107105,0.006621946],"category_scores_gemma":[0.03056751,0.000198656,0.0005536547,0.000731111,0.002767152,0.003123597,0.002490782,0.001695287,0.0004695088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447308,"about_ca_system_score_gemma":0.001179611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002602875,"about_ca_topic_score_gemma":0.002543056,"domain_scores_codex":[0.9932473,0.004017224,0.0004217254,0.0002193425,0.001595774,0.0004987],"domain_scores_gemma":[0.978827,0.01398022,0.003092088,0.0005975155,0.002001133,0.001502045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.002431112,0.001404689,0.4826381,0.0009920809,0.0005207755,0.005591861,0.3061805,0.01089495,0.01118864,0.02959137,0.003781027,0.1447849],"study_design_scores_gemma":[0.00007934089,0.001785094,0.3636137,0.0008118117,0.0002281798,0.001333341,0.5688524,0.008681353,0.004912666,0.01655545,0.03278694,0.0003596816],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746143,0.000167147,0.001691931,0.0008287875,0.00002709779,0.00002987319,0.00002869,0.000009664262,0.0226025],"genre_scores_gemma":[0.9989554,0.0001820641,0.0002904663,0.00006586383,0.000007110614,0.000007361616,0.00001512209,0.000003484233,0.0004731158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009743407,"threshold_uncertainty_score":0.05152869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098857007639985,"score_gpt":0.2503018586401641,"score_spread":0.2293132885637642,"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."}}