{"id":"W2160168372","doi":"","title":"The Growth of Urbanization and Environmental Instability: A Case Study in Ahvaz Metropolis","year":2014,"lang":"en","type":"article","venue":"","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urbanization; Environmental degradation; Population growth; Environmental pollution; Population; Natural resource; Geography; Sustainability; Quarter (Canadian coin); Civilization; Urban climate; Economic growth; Natural resource economics; Environmental planning; Environmental protection; Economics; Political science; Ecology; Sociology; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004850274,0.0001131313,0.0001139007,0.00004051938,0.0001732825,0.0000185654,0.000110643,0.00002999091,0.0002844185],"category_scores_gemma":[0.00005836588,0.00008037838,0.00001627769,0.0002027633,0.0003160006,0.0001717078,0.0003034472,0.00006266302,0.00001859804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002294699,"about_ca_system_score_gemma":0.000003101486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006006781,"about_ca_topic_score_gemma":0.00172429,"domain_scores_codex":[0.998997,0.0001125663,0.0002444647,0.0002276719,0.0002051083,0.0002131418],"domain_scores_gemma":[0.9996033,0.00009584627,0.00005379912,0.0001866879,0.000001031373,0.00005931464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009305618,0.0001897728,0.9927093,0.000003106991,0.000005004734,0.00002139739,0.001489907,0.00002364541,0.0002054452,0.0002258544,0.00007536988,0.005041831],"study_design_scores_gemma":[0.0007680025,0.0001889495,0.9632793,0.000001408658,0.00001114285,0.00006979234,0.03210868,0.001104833,0.0005732257,0.0010926,0.0006360391,0.0001659969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949626,0.00001328815,0.00005585892,0.00008501646,0.00001714793,0.0003400696,0.000001034931,0.000009090286,0.00451589],"genre_scores_gemma":[0.9993628,0.00001955531,0.0001184337,0.00006599759,0.000008610237,0.00001922316,0.000002098046,0.000009472506,0.0003938326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03061878,"threshold_uncertainty_score":0.9080496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005552796403885549,"score_gpt":0.2010271097268345,"score_spread":0.195474313322949,"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."}}