{"id":"W4411523689","doi":"10.36941/mjss-2025-0026","title":"Effects of Urban Expansion on Transport Systems in Ondo Town, Ondo State, Nigeria","year":2025,"lang":"en","type":"article","venue":"Mediterranean Journal of Social Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Likert scale; Business; Urban expansion; Quarter (Canadian coin); Stratified sampling; Psychological intervention; Traffic congestion; Geography; Descriptive statistics; Socioeconomics; Transport engineering; Land use; Economic growth; Civil engineering; Medicine; Engineering; Economics; Psychology","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":[0.003570566,0.0001640968,0.000574085,0.000444361,0.0005159043,0.00006864277,0.0007822536,0.0001293684,0.00006782903],"category_scores_gemma":[0.0002040254,0.0001280952,0.000203513,0.001418806,0.001233855,0.0005760557,0.00001165358,0.0003144686,0.000001118087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001506709,"about_ca_system_score_gemma":0.0007928201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00119377,"about_ca_topic_score_gemma":0.001347839,"domain_scores_codex":[0.9967393,0.0003752708,0.0009261812,0.0002524843,0.001278349,0.0004283962],"domain_scores_gemma":[0.998673,0.0003882752,0.0005360823,0.00008119085,0.0002028442,0.0001186732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000593679,0.0009306252,0.8090051,0.0005096642,0.0000757724,0.0001975173,0.1653754,0.0001345228,0.005841096,0.001696671,0.003679561,0.01196039],"study_design_scores_gemma":[0.002663266,0.0008109133,0.9567016,0.001687634,0.00006754676,0.000001156862,0.02194257,0.00002027457,0.004636207,0.003264773,0.007789182,0.0004149321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885998,0.0008858807,0.00009515287,0.0007857916,0.002868768,0.0003283303,0.000005385406,0.00001549495,0.006415449],"genre_scores_gemma":[0.9989009,0.00007713509,0.00003117495,0.0001002527,0.0004740556,0.000004685021,0.000001008002,0.000005275876,0.0004054883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1476965,"threshold_uncertainty_score":0.5223572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02222977641316767,"score_gpt":0.3133348529435071,"score_spread":0.2911050765303395,"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."}}