{"id":"W2904886793","doi":"","title":"Migration and Informal Settlements as Spatial Expression of Social Inequality in Iran","year":2017,"lang":"en","type":"article","venue":"Management Research and Practice","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Human settlement; Quarter (Canadian coin); Socioeconomics; Informal settlements; Inequality; Population; Immigration; Economic growth; Demographic economics; Sociology; Demography; Economics","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":[0.0005212784,0.0001565884,0.0001478151,0.001228723,0.001137554,0.001152016,0.0003162572,0.0002600595,0.002137731],"category_scores_gemma":[0.001595298,0.00006519314,0.0002094715,0.001515563,0.001392116,0.0007793824,0.001555638,0.000310062,0.00006529792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008821973,"about_ca_system_score_gemma":0.0008407131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01200812,"about_ca_topic_score_gemma":0.01656397,"domain_scores_codex":[0.9993697,0.0002100667,0.0000346631,0.00006343177,0.0001377047,0.0001844208],"domain_scores_gemma":[0.9993975,0.0001158037,0.0002831727,0.00002874687,0.0000642555,0.0001104689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006767824,0.0001478244,0.9366482,0.00005633182,0.00004551486,0.0007206135,0.02228882,0.0003146362,0.0002557728,0.0123713,0.0008694223,0.02621399],"study_design_scores_gemma":[0.000007791676,0.00006898854,0.9184418,0.00006808245,0.00002619321,0.0003902079,0.07404193,0.0008762552,0.0000538629,0.003174187,0.002839216,0.00001155013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946982,0.0002730461,0.0002210069,0.0004647661,0.00001250022,0.000008086648,0.00003152279,0.000002018754,0.004288964],"genre_scores_gemma":[0.9997147,0.00006940608,0.00004849042,0.00001133373,0.000006314324,0.000003077957,0.00001107671,3.314699e-7,0.000135263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01200812,"threshold_uncertainty_score":0.02387649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1145740482630632,"score_gpt":0.4785380658933744,"score_spread":0.3639640176303112,"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."}}