{"id":"W3087625543","doi":"10.3968/11831","title":"Impacts of Urban Growth on Bahir Dar City","year":2020,"lang":"en","type":"article","venue":"Canadian social science","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urbanization; Geography; Population; Human settlement; Capital city; Population growth; Socioeconomics; Poverty; Flooding (psychology); Economic growth; Demography; Economic geography; Economics","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":[0.0003789233,0.0005089139,0.0002053003,0.0005729686,0.002199362,0.002378108,0.0005925942,0.0003765998,0.004431619],"category_scores_gemma":[0.0006920782,0.0001690723,0.0003290234,0.001256428,0.001013126,0.0006275292,0.002571246,0.0008444911,0.0003853071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003610281,"about_ca_system_score_gemma":0.003259409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05436154,"about_ca_topic_score_gemma":0.1155931,"domain_scores_codex":[0.9994594,0.00015957,0.0000145169,0.00003226471,0.00009808086,0.0002361269],"domain_scores_gemma":[0.999501,0.00006844207,0.000116519,0.00001874616,0.0001324819,0.0001628456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006055573,0.001053663,0.7528514,0.001457143,0.0001733882,0.01837165,0.05330873,0.003750323,0.006535429,0.01680345,0.02857134,0.1165178],"study_design_scores_gemma":[0.00003447918,0.0005507185,0.6525532,0.0004905494,0.0001123477,0.002707677,0.2387083,0.001705318,0.002228563,0.002335645,0.09846358,0.0001095248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755504,0.001414844,0.0001199387,0.002053398,0.0001104065,0.00003693347,0.0004303032,0.00002218875,0.02026168],"genre_scores_gemma":[0.9957153,0.001513628,0.0001412292,0.0002976055,0.0000392645,0.00002023833,0.000231505,0.000006620452,0.00203457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05436154,"threshold_uncertainty_score":0.1080903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04399778195644261,"score_gpt":0.2747085872355068,"score_spread":0.2307108052790642,"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."}}