{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005303189,0.0003450421,0.0002766372,0.001145118,0.005364021,0.002027252,0.000847693,0.00199714,0.00180325],"category_scores_gemma":[0.0007820718,0.0002777168,0.0005002293,0.002297109,0.002157429,0.001025073,0.002022296,0.00133851,0.0001582928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003885794,"about_ca_system_score_gemma":0.001595547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05768231,"about_ca_topic_score_gemma":0.1261042,"domain_scores_codex":[0.9993919,0.0002988944,0.0000193433,0.00003817578,0.00005929761,0.0001924257],"domain_scores_gemma":[0.9994156,0.0002247926,0.0001023665,0.00001921165,0.00004966441,0.0001883705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.0003989084,0.002795767,0.3307185,0.0006090543,0.0001824374,0.3930441,0.1786499,0.01135071,0.003421769,0.03956461,0.008740103,0.03052418],"study_design_scores_gemma":[0.00005380204,0.0005736953,0.1817228,0.0002664968,0.0001054831,0.02466009,0.7486099,0.007460594,0.001294048,0.004198143,0.03096641,0.00008857211],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994839,0.0002499541,0.0001532175,0.0008865206,0.00001129067,0.00003007127,0.00006999378,0.00000397654,0.003756015],"genre_scores_gemma":[0.9974644,0.0006736615,0.0002194778,0.0001024415,0.00001272009,0.00001584059,0.00003564113,0.000003355864,0.001472413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05768231,"threshold_uncertainty_score":0.1146931,"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."}}