{"id":"W2407871325","doi":"10.5539/enrr.v6n2p115","title":"Flood Risk Assessment of Residential Neighbourhoods in Calabar Metropolis, Cross River State, Nigeria","year":2016,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zoning; Flood myth; Geography; Flood control; Flood risk assessment; Floodplain; Vulnerability (computing); Flooding (psychology); Socioeconomics; Water resource management; Environmental planning; Environmental science; Civil engineering; Cartography; Archaeology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002022989,0.0002456648,0.0003019301,0.0002796165,0.0002794954,0.00008445478,0.0004952301,0.0001020828,0.002545906],"category_scores_gemma":[0.00009618792,0.0001635432,0.00008443596,0.0003572305,0.001378842,0.0004514952,0.001374753,0.0004999185,0.000129069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004998024,"about_ca_system_score_gemma":0.00001412331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002910402,"about_ca_topic_score_gemma":0.0006779608,"domain_scores_codex":[0.9958363,0.0006150423,0.0004662021,0.000689485,0.001590827,0.0008021274],"domain_scores_gemma":[0.9988698,0.0003165452,0.0001500382,0.0004576118,0.00001130496,0.0001946927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001173722,0.0001632429,0.9705212,0.00001466678,0.00003968746,0.00002224947,0.0004209357,0.000195169,0.01304333,0.0000654006,0.0006780988,0.01471866],"study_design_scores_gemma":[0.001531773,0.0002562026,0.9797425,0.00003116707,0.000009218785,9.473247e-7,0.000171198,0.0002938818,0.002714797,0.0009647991,0.01405341,0.0002300854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994978,0.0005590269,0.0001321506,0.0003067234,0.00007834719,0.0005061825,0.00002894398,0.00001638921,0.003394309],"genre_scores_gemma":[0.9884652,0.004034102,0.001123124,0.00001447966,0.00004734767,0.00004046643,0.000005305176,0.00002581466,0.006244106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01448857,"threshold_uncertainty_score":0.9983659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105513556245603,"score_gpt":0.3205884202635182,"score_spread":0.3095332847010622,"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."}}