{"id":"W2737626090","doi":"10.3390/su9081293","title":"Climatic and Environmental Changes Affecting Communities in Atlantic Canada","year":2017,"lang":"en","type":"article","venue":"Sustainability","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Brock University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Coastal flood; Flooding (psychology); Storm surge; Relocation; Coastal erosion; Geography; Sustainability; Storm; Population; Environmental planning; Work (physics); Climate change; Government (linguistics); Environmental resource management; Training (meteorology); Environmental protection; Fishery; Ecology; Sea level rise; Environmental science; Shore","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":[0.0005757728,0.0001752158,0.0002179854,0.0008418061,0.01177355,0.002099043,0.0007710111,0.0003719247,0.001779335],"category_scores_gemma":[0.001266432,0.0001739952,0.0002124024,0.002284603,0.002342233,0.0004694293,0.002200249,0.0006983215,0.00007135094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03877414,"about_ca_system_score_gemma":0.04891331,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941055,"about_ca_topic_score_gemma":0.9987703,"domain_scores_codex":[0.9992806,0.0001062837,0.00001814979,0.00005028341,0.0001516443,0.0003930985],"domain_scores_gemma":[0.998722,0.0001303014,0.0001700092,0.000025234,0.0004575411,0.0004948813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001558153,0.00019657,0.6958464,0.000228349,0.00007220016,0.002415841,0.243447,0.0008541337,0.003276755,0.001660876,0.005348566,0.04649743],"study_design_scores_gemma":[0.000006711278,0.00003382922,0.5639041,0.0000838248,0.0000156867,0.0001243916,0.424296,0.000273441,0.0001789472,0.0001419022,0.01090712,0.00003410287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941726,0.0001869582,0.00004496712,0.0005405457,0.00001056407,0.00002344964,0.0001312761,0.000003386993,0.004886183],"genre_scores_gemma":[0.9984171,0.000337394,0.00008516643,0.0001091639,0.00000280672,0.000009530554,0.00007504573,0.000002001223,0.0009616849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03877414,"threshold_uncertainty_score":0.2813274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05593210936407121,"score_gpt":0.31007031449429,"score_spread":0.2541382051302187,"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."}}