{"id":"W4410566919","doi":"10.3390/urbansci9050178","title":"A Portrait of the Urban Demographic Profile of an African City—Port Harcourt, Nigeria","year":2025,"lang":"en","type":"article","venue":"Urban Science","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Port harcourt; Portrait; Geography; Port (circuit theory); Socioeconomics; Demography; Sociology; Archaeology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001655885,0.0003225564,0.0001273207,0.001334004,0.003097574,0.001562664,0.0002222163,0.0003513309,0.005549149],"category_scores_gemma":[0.0003414841,0.0001375613,0.00009387946,0.002384752,0.0007568608,0.001103089,0.0008878328,0.0007144007,0.0006286351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007984114,"about_ca_system_score_gemma":0.001032669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03106399,"about_ca_topic_score_gemma":0.1058838,"domain_scores_codex":[0.9998949,0.0000453364,0.000005805528,0.00001023911,0.00001760612,0.00002611358],"domain_scores_gemma":[0.9998479,0.00004262661,0.00002740003,0.000006204499,0.00003235948,0.00004359106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001330108,0.0001131269,0.2854702,0.0007211534,0.00001749329,0.01016449,0.5248961,0.001031511,0.00570435,0.0247411,0.03850217,0.1085052],"study_design_scores_gemma":[0.000001806383,0.00004316634,0.2006452,0.0004153391,0.000008133581,0.003213122,0.6692905,0.0003291364,0.0002398618,0.001130354,0.1246601,0.0000231933],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.890994,0.003381473,0.001957991,0.006833429,0.0002739961,0.0001210264,0.002010694,0.00005200606,0.0943754],"genre_scores_gemma":[0.9735734,0.005223686,0.001868476,0.0005200377,0.00005862431,0.00009965202,0.0006144713,0.0000317287,0.0180099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03106399,"threshold_uncertainty_score":0.06176633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01986870932302588,"score_gpt":0.2820153417620271,"score_spread":0.2621466324390012,"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."}}