{"id":"W3048760234","doi":"10.3390/data5030072","title":"Data Analysis of Land Use Change and Urban and Rural Impacts in Lagos State, Nigeria","year":2020,"lang":"en","type":"article","venue":"Data","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Geography; Thematic map; Land use; Fragmentation (computing); Land cover; Context (archaeology); Rural area; Land use, land-use change and forestry; Raster graphics; Environmental planning; Socioeconomics; Environmental resource management; Cartography; Environmental science; Political science; Ecology; Agriculture","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":[0.0003503524,0.0001601031,0.0002174714,0.0024819,0.0004376115,0.0005565032,0.0001594741,0.0001602473,0.001031814],"category_scores_gemma":[0.001010439,0.0001258573,0.0001370672,0.004859243,0.0002613243,0.0003540061,0.0004727945,0.0002072942,0.000128521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071534,"about_ca_system_score_gemma":0.00098458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04525005,"about_ca_topic_score_gemma":0.09183556,"domain_scores_codex":[0.9997643,0.00005382347,0.00003429146,0.00004043744,0.00005564249,0.00005148514],"domain_scores_gemma":[0.9994708,0.0001778179,0.0001510127,0.00002736917,0.0001281792,0.00004489779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006629392,0.00007859365,0.9763321,0.0001656581,0.00002286063,0.0004990771,0.001715004,0.001425451,0.0007425756,0.0005760455,0.0008755506,0.01750078],"study_design_scores_gemma":[0.000003709885,0.00004960572,0.9794463,0.00008683861,0.00001701636,0.0001897285,0.01347644,0.00153493,0.0005396245,0.0001924575,0.004451382,0.00001198307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929242,0.0001447218,0.0002478179,0.00006756988,0.000005424648,0.00004892386,0.004797766,0.000006697818,0.001756919],"genre_scores_gemma":[0.9918624,0.0003389654,0.001194491,0.00001816187,0.000003564799,0.0001720383,0.005448837,0.000003369256,0.0009582324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04525005,"threshold_uncertainty_score":0.08997333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0950460244658304,"score_gpt":0.2695755398193921,"score_spread":0.1745295153535617,"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."}}