{"id":"W2766872079","doi":"10.5539/jsd.v10n6p14","title":"Differentials in Metropolitanisation Trends in Lagos Peri-Urban Settlements","year":2017,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human settlement; Geography; Metropolitan area; Socioeconomics; Descriptive statistics; Regional science; Statistics; Archaeology","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":[0.0004066227,0.0001398122,0.0001208281,0.001547719,0.0006249716,0.001112872,0.0002460718,0.0001378864,0.002316511],"category_scores_gemma":[0.001045476,0.0001077469,0.000122314,0.002601147,0.0006861172,0.0007207147,0.001028411,0.0002658681,0.0001410884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008331378,"about_ca_system_score_gemma":0.0006402633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01590694,"about_ca_topic_score_gemma":0.03924023,"domain_scores_codex":[0.9997432,0.00004893644,0.0000231525,0.00004835363,0.00003726188,0.00009916734],"domain_scores_gemma":[0.9995525,0.00006974793,0.0001878316,0.00001831763,0.00008116003,0.00009039922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002736427,0.00008487426,0.921068,0.0002492912,0.00002681979,0.001726422,0.03432568,0.0007045812,0.002114465,0.006329184,0.001104614,0.03199251],"study_design_scores_gemma":[0.000004609105,0.00005075838,0.9431894,0.00006261049,0.000007334698,0.0003772088,0.04934195,0.0001830631,0.0001645345,0.0003212722,0.006286736,0.00001051922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965925,0.0003363869,0.00008421194,0.0001015894,0.00000673464,0.00001056886,0.0001791717,0.000003479009,0.002685316],"genre_scores_gemma":[0.9990724,0.0002064176,0.00008497627,0.000006922156,0.000003590684,0.000009302342,0.0001251955,0.000001330553,0.000489704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01590694,"threshold_uncertainty_score":0.03162867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03817477848128861,"score_gpt":0.3274606307851936,"score_spread":0.2892858523039049,"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."}}