{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001423071,0.00005864048,0.0001567658,0.00002549063,0.00001768567,0.00004131653,0.0003780829,0.00001873497,0.0001459323],"category_scores_gemma":[0.00001936495,0.00004355389,0.000004754176,0.0002691726,0.00001246246,0.001035076,0.001298851,0.00002857421,0.0000100263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004237445,"about_ca_system_score_gemma":0.000001857302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007047221,"about_ca_topic_score_gemma":0.05201204,"domain_scores_codex":[0.9994303,0.00002348532,0.0001159203,0.0002399066,0.00008384859,0.0001065254],"domain_scores_gemma":[0.9992496,0.00002642113,0.00004465463,0.0005932307,0.000001129143,0.00008494429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001272545,0.00000884127,0.997724,0.00002150148,0.00003917773,0.000004421266,0.0007027732,0.000009790332,0.0001411569,1.033281e-7,0.001069147,0.0002663856],"study_design_scores_gemma":[0.0001812008,0.00001664282,0.9628468,0.000009349635,0.00005437707,4.32777e-7,0.00009608822,0.033457,0.000009863369,0.000002080821,0.00326212,0.00006406898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902651,0.0001487294,0.000002171309,0.0001871938,0.000008425056,0.00007630438,0.009287335,0.000005252268,0.00001947595],"genre_scores_gemma":[0.9957491,0.0002399798,0.00004845278,0.0001928243,0.00001440419,8.771636e-7,0.00374946,0.000003270952,0.000001628812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04496482,"threshold_uncertainty_score":0.9995649,"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."}}