{"id":"W4404759271","doi":"10.1007/s12237-024-01446-4","title":"Vulnerability of Populations to Flooding and Marine Submersion in the Wouri Estuary (Cameroon), in the Context of Climate Change","year":2024,"lang":"en","type":"article","venue":"Estuaries and Coasts","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Rimouski","funders":"Government of Canada","keywords":"Submersion (mathematics); Estuary; Flooding (psychology); Context (archaeology); Climate change; Vulnerability (computing); Environmental science; Oceanography; Geography; Geology","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":[0.0004208171,0.0002793313,0.0001582449,0.0006315431,0.0006388641,0.0007499176,0.0002840274,0.0003858636,0.001356806],"category_scores_gemma":[0.001172668,0.0001846414,0.0002498718,0.0009686295,0.0008186701,0.0006271002,0.0009500183,0.0005817461,0.0001070621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168482,"about_ca_system_score_gemma":0.0006723083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06649296,"about_ca_topic_score_gemma":0.1212443,"domain_scores_codex":[0.9997503,0.00009427193,0.00001586708,0.00003228937,0.00001061536,0.00009664355],"domain_scores_gemma":[0.9994969,0.000104436,0.0002028976,0.00001929484,0.00005456078,0.0001218549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001238265,0.00005287952,0.9948915,0.00001030543,0.00004207359,0.000339547,0.002056279,0.0003334441,0.000446619,0.0001495969,0.0001093469,0.001444538],"study_design_scores_gemma":[0.000002305123,0.00005392701,0.9944906,0.000007273457,0.00001000752,0.00008820819,0.004733625,0.0004115693,0.00003650622,0.0000591265,0.0001027425,0.000003985009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997993,0.00002499603,0.00001180266,0.00003014812,0.000001597965,0.000001529648,0.00003875978,2.64126e-7,0.00009161147],"genre_scores_gemma":[0.9998288,0.0000410134,0.00001095228,0.000007354616,0.000001485962,0.000002605473,0.00003021717,2.201904e-7,0.0000773058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06649296,"threshold_uncertainty_score":0.1322119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1275273090841071,"score_gpt":0.3434133234745132,"score_spread":0.2158860143904061,"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."}}