{"id":"W4409692015","doi":"10.3389/fmars.2025.1483428","title":"Potential adverse equity consequences of coastal climate adaptation interventions in Canada","year":2025,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; EarthLab, University of Washington; Ocean Nexus Center, EarthLab, University of Washington; Nippon Foundation; University of Washington","keywords":"Equity (law); Climate change; Psychological intervention; Adaptation (eye); Environmental resource management; Natural resource economics; Climate change adaptation; Geography; Environmental planning; Environmental science; Business; Economics; Oceanography; Political science; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01219721,0.0004390736,0.0009161051,0.003590241,0.007171481,0.004974081,0.002293757,0.001113188,0.004131036],"category_scores_gemma":[0.03783463,0.000375405,0.001058916,0.008122499,0.00278414,0.001638177,0.00395539,0.001891011,0.000105852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1179649,"about_ca_system_score_gemma":0.3762507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9793113,"about_ca_topic_score_gemma":0.9926616,"domain_scores_codex":[0.9882911,0.003210399,0.0009094431,0.0006853409,0.004527255,0.002376569],"domain_scores_gemma":[0.9603073,0.01498201,0.004000114,0.0006583988,0.01593996,0.004112225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005278637,0.0004960595,0.229604,0.03032984,0.001683267,0.002322629,0.05933049,0.004306101,0.001220891,0.054972,0.04787295,0.5673339],"study_design_scores_gemma":[0.0003139972,0.0004521103,0.5077745,0.06761863,0.003671111,0.0007051475,0.1185769,0.005454932,0.002299231,0.01910878,0.2735541,0.0004705921],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5803823,0.1827517,0.002945172,0.1012847,0.0008970432,0.001762095,0.008245496,0.0001306678,0.1216009],"genre_scores_gemma":[0.9301235,0.05422783,0.003374944,0.007439106,0.00006804602,0.0005279648,0.0008577025,0.00002633827,0.003354511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1179649,"threshold_uncertainty_score":0.8558994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05884001198751038,"score_gpt":0.3314169558350745,"score_spread":0.2725769438475641,"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."}}