{"id":"W2091107469","doi":"10.5539/jsd.v4n4p202","title":"Optimizing Physical Planning in the Developing Countries – A Case Study of Ondo State, Nigeria","year":2011,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human settlement; Urban planning; Business; Control (management); Environmental planning; Christian ministry; Physical development; State (computer science); Sustainable development; Plan (archaeology); Economic growth; Political science; Computer science; Economics; Geography; Management; Engineering; Civil 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008850093,0.0002410298,0.0001829628,0.0005162566,0.003426701,0.001668671,0.0003838134,0.0007428087,0.001240192],"category_scores_gemma":[0.0009248595,0.0002372857,0.0001414161,0.001343296,0.001257474,0.000801674,0.001066567,0.0005444592,0.00006477417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002613283,"about_ca_system_score_gemma":0.002662587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03182322,"about_ca_topic_score_gemma":0.115948,"domain_scores_codex":[0.9994579,0.0003408528,0.00001983645,0.00002194219,0.00003854223,0.0001210087],"domain_scores_gemma":[0.9995915,0.0002104827,0.00006430795,0.00001591114,0.00004199037,0.00007578688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005018336,0.002670522,0.2896824,0.001671916,0.00007029589,0.07605843,0.2523618,0.05537905,0.006797427,0.1246972,0.006523783,0.1835854],"study_design_scores_gemma":[0.0000386309,0.0005801716,0.1272959,0.0006148005,0.00004785024,0.003206241,0.7903405,0.01332856,0.001997556,0.00661565,0.05586969,0.00006437259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891461,0.0003361738,0.0003903111,0.0003932437,0.000005851624,0.00005313647,0.00001945022,0.000001975233,0.009653777],"genre_scores_gemma":[0.9967144,0.0008054459,0.0009332293,0.0000297905,0.00000152142,0.00002058657,0.00001154215,0.000001434971,0.001482128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03182322,"threshold_uncertainty_score":0.06327599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05437658270654874,"score_gpt":0.3083292912046639,"score_spread":0.2539527084981151,"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."}}