{"id":"W247449427","doi":"","title":"THE EFFECTS OF GIS ARCHITECTURE, DATA MODELS AND DATA SOURCES ON THE ACCURACY OF DIGITAL MAPS: AN EXAMPLE OF DIGITAL TERRAIN MODEL OF IBADAN REGION","year":2002,"lang":"en","type":"article","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrain; Digital elevation model; Cartography; Digital data; Geography; Remote sensing; Computer science; Geology; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000761237,0.0001161575,0.0002504305,0.00008013876,0.0002564024,0.00009799908,0.00139491,0.00004685044,0.000001925966],"category_scores_gemma":[0.0009054324,0.00006228508,0.00004023271,0.00022862,0.0009897866,0.001563116,0.0006657269,0.00006990325,3.489621e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004781238,"about_ca_system_score_gemma":0.00002513302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002605972,"about_ca_topic_score_gemma":0.0009627846,"domain_scores_codex":[0.9984628,0.00009399131,0.0004783297,0.0002105629,0.0005740474,0.0001803008],"domain_scores_gemma":[0.9962405,0.001742124,0.000500745,0.001358286,0.0001182155,0.00004013555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001942681,0.0007830437,0.01408462,0.001229034,0.0008773517,0.000001150058,0.60001,0.005499661,0.0002708066,0.2433717,0.01286891,0.1208095],"study_design_scores_gemma":[0.002941506,0.001629723,0.002825138,0.00117512,0.000273103,0.00001255901,0.3522447,0.449428,0.001357311,0.1736757,0.01314643,0.001290672],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9504918,0.0003882613,0.007309839,0.001066527,0.0000636348,0.001055765,0.0009201693,0.00003672161,0.03866724],"genre_scores_gemma":[0.9994571,0.0001414537,0.00009449568,0.0000166623,0.00001816385,0.000004831827,0.00004658735,0.000005844952,0.0002148623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4439283,"threshold_uncertainty_score":0.3939468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1602624684972577,"score_gpt":0.304877216210981,"score_spread":0.1446147477137233,"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."}}