{"id":"W2010655332","doi":"10.2495/dne-v6-n4-342-360","title":"Can the principle of self-organized gradients be applied for human systems? a case study on rural-urban interactions","year":2011,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Sustainability and Ecological Systems Analysis","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptability; Parallels; Self-organization; Computer science; Action (physics); Set (abstract data type); Ecology; Outcome (game theory); Management science; Artificial intelligence; Mathematics; Engineering; Mathematical economics; Operations management; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001700799,0.0003229096,0.000499807,0.0009034106,0.001330341,0.002863049,0.0007539284,0.001466861,0.002512803],"category_scores_gemma":[0.004080325,0.0002229563,0.0005263524,0.0009856048,0.006779842,0.005827776,0.001750374,0.0008844775,0.0002249234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001837935,"about_ca_system_score_gemma":0.0007588628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002711009,"about_ca_topic_score_gemma":0.003104751,"domain_scores_codex":[0.9988658,0.0007064814,0.00003375973,0.00008894963,0.0001550012,0.000149896],"domain_scores_gemma":[0.9990336,0.000581875,0.0001169086,0.0001155044,0.00007312946,0.00007898031],"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":[0.00003743918,0.00004514537,0.006514159,0.0001972971,0.00003844754,0.0007564679,0.004861293,0.01147325,0.0005684357,0.9417724,0.001692057,0.03204356],"study_design_scores_gemma":[0.00004822075,0.0001391623,0.0079288,0.0001178012,0.00002474727,0.0008574185,0.007315238,0.01939361,0.0006725643,0.9197938,0.04366733,0.0000412049],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4392424,0.005695947,0.2874097,0.03370106,0.0002628122,0.0005239784,0.0001887928,0.0002484428,0.232727],"genre_scores_gemma":[0.9841891,0.0007067401,0.01296879,0.0003991858,0.00002045819,0.00009395012,0.00001872116,0.0000162522,0.001586813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002863049,"threshold_uncertainty_score":0.01333523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003360251031806,"score_gpt":0.2720052480320269,"score_spread":0.2519716455217088,"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."}}