{"id":"W1498617604","doi":"10.5751/es-01689-110136","title":"Sprawl and the Resilience of Humans and Nature: an Introduction to the Special Feature","year":2006,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; U.S. Fish and Wildlife Service; University of Nebraska-Lincoln","keywords":"Urban sprawl; Resilience (materials science); Feature (linguistics); Geography; Environmental resource management; Environmental planning; Environmental science; Land use; Ecology; Biology; Linguistics","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":[],"consensus_categories":[],"category_scores_codex":[0.000351763,0.00004780722,0.00007718209,0.000002719899,0.0003229508,0.00001659074,0.00007236615,0.00009738937,0.00006731006],"category_scores_gemma":[0.000005997609,0.00002371642,0.00001640895,0.00005330832,0.0001603205,0.00007868279,0.00007586895,0.0001167025,0.000002870032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007794511,"about_ca_system_score_gemma":0.000002300745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001587149,"about_ca_topic_score_gemma":0.007547999,"domain_scores_codex":[0.9995937,0.00005284216,0.00005981275,0.0001548173,0.00005077538,0.00008802115],"domain_scores_gemma":[0.9998075,0.00004421681,0.00002970659,0.00009633645,0.000003435088,0.00001880541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001614955,0.00008897932,0.7491773,0.0000391816,0.00004760664,0.000001460742,0.01517382,0.0005164444,0.001200304,0.009789404,0.2220058,0.001798157],"study_design_scores_gemma":[0.0002488538,0.00004409019,0.9753962,8.997066e-7,0.00001415696,0.000006914205,0.0006955222,0.0002308268,0.00009696241,0.001164253,0.022061,0.00004038172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864047,0.0001539225,0.000002943629,0.01247024,0.0001478021,0.0001139423,0.000002149862,0.000003901723,0.0007004478],"genre_scores_gemma":[0.9980997,0.00009818305,0.00009636788,0.0006951439,0.0008328405,0.000004587926,0.000001636365,0.000001721404,0.0001698404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2262188,"threshold_uncertainty_score":0.421196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002038894964844981,"score_gpt":0.1928152132589167,"score_spread":0.1907763182940717,"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."}}