{"id":"W7155394975","doi":"10.83032/jems.vol16no2.589","title":"FACTORS AFFECTING STUDENTS’ ENROLMENT IN URBAN AND REGIONAL PLANNING HIGHER INSTITUTIONS OF LEARNING WITHIN ENUGU STATE, SOUTH EAST OF NIGERIA","year":2025,"lang":"en","type":"article","venue":"","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Popularity; Regional planning; Underemployment; South east; Urban planning; Quarter (Canadian coin); Compulsory education","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005573924,0.0002048158,0.0002015592,0.0005876911,0.001140916,0.001355938,0.0002501932,0.0003498052,0.004457539],"category_scores_gemma":[0.002005276,0.0001566698,0.0002571229,0.0005687873,0.0005175844,0.0004743223,0.0009960415,0.0007384155,0.0004123739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005739505,"about_ca_system_score_gemma":0.001074646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0137606,"about_ca_topic_score_gemma":0.02750149,"domain_scores_codex":[0.9994528,0.00009666944,0.00005854616,0.0000410338,0.0001262774,0.0002247915],"domain_scores_gemma":[0.9984261,0.0002289912,0.0004892371,0.000039779,0.0001694904,0.0006464838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002561769,0.000176107,0.9869991,0.00003911458,0.000006485895,0.0004543521,0.004199734,0.00006460858,0.0005025993,0.0001840638,0.0002417298,0.007106656],"study_design_scores_gemma":[0.000001106265,0.0000924003,0.9796121,0.00004624297,0.000005227769,0.0001807201,0.01859834,0.0001117372,0.000128782,0.00006946594,0.001146496,0.000007378686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987471,0.00005791588,0.00002393093,0.0001315461,0.000003801015,0.000009698959,0.00002395676,9.931287e-7,0.001001044],"genre_scores_gemma":[0.9990964,0.0001059311,0.00003199748,0.000019888,0.000003797325,0.000005407902,0.00003016642,7.60392e-7,0.0007056737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0137606,"threshold_uncertainty_score":0.02736098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08615024596146029,"score_gpt":0.3406465725426635,"score_spread":0.2544963265812031,"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."}}