{"id":"W4387506473","doi":"10.21065/25205986.8.1","title":"SCRUTINIZING THE POLICY AND PLANNING MODEL FOR ETHNIC ENCLAVE GAMBELLA CITY, ETHIOPIA","year":2023,"lang":"en","type":"article","venue":"Advanced Humanities and Social Sciences","topic":"African history and culture analysis","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Urban planning; Plan (archaeology); Settlement (finance); Economic growth; Environmental planning; Geography; Business; Engineering; Political science; Civil engineering; Economics; Payment; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001071085,0.00009480159,0.0001473953,0.00008630083,0.00903506,0.0001745429,0.0002252379,0.00006661223,0.000009655562],"category_scores_gemma":[0.00019803,0.00007097631,0.00006065158,0.00049523,0.00229475,0.0002947493,0.00007472897,0.0001044283,0.000001253618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004725055,"about_ca_system_score_gemma":0.0001524803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005013515,"about_ca_topic_score_gemma":0.003827232,"domain_scores_codex":[0.9988768,0.00008304674,0.000128526,0.0002329437,0.000291018,0.0003877247],"domain_scores_gemma":[0.9993938,0.0003694836,0.00008941411,0.00004563059,0.00006991011,0.00003172723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00000420334,0.000003109947,0.0001218984,0.000007636229,0.000009607446,4.19722e-7,0.4411547,0.0002445992,0.00003837539,0.5530946,0.0006840754,0.004636676],"study_design_scores_gemma":[0.0001999662,0.00005900191,0.0006032279,0.00002298113,0.00005062771,3.870716e-7,0.6634425,0.003946454,0.000006922542,0.1596022,0.1717607,0.000305003],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7843395,0.003475974,0.001261056,0.01201433,0.0004125552,0.0007034828,0.00004151958,0.0003542413,0.1973973],"genre_scores_gemma":[0.9846119,0.0004843083,0.0001702719,0.001281266,0.0005643214,0.00003337451,0.000002332998,0.000005788032,0.01284647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3934924,"threshold_uncertainty_score":0.992255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2258107289161352,"score_gpt":0.4120120981813963,"score_spread":0.1862013692652612,"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."}}