{"id":"W283747360","doi":"","title":"Order, chaos and complexity in landscape evolution: insights from systems theory and social network theory","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Order (exchange); Chaos theory; Social complexity; Network theory; Edge of chaos; CHAOS (operating system); Computer science; Theoretical computer science; Epistemology; Sociology; Mathematics; Artificial intelligence; Social science; Economics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005820325,0.000217326,0.0002911771,0.00002986659,0.0002803753,0.0001805183,0.0002117677,0.0001995912,0.0003609029],"category_scores_gemma":[0.00001573458,0.0001699456,0.00002340662,0.0001233405,0.00009274413,0.0003767773,0.0001826229,0.0002882537,0.0000986177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002603701,"about_ca_system_score_gemma":0.00002857182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002663216,"about_ca_topic_score_gemma":0.03215373,"domain_scores_codex":[0.9984751,0.000220958,0.0003099735,0.000428996,0.0002105113,0.0003544075],"domain_scores_gemma":[0.9993647,0.0001568646,0.0001441461,0.0001888047,0.00001962023,0.0001258065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006353772,0.0004500187,0.6213421,0.0002060236,0.0001769477,0.0001337827,0.008227605,0.006717469,0.05792735,0.2945217,0.001875463,0.007786142],"study_design_scores_gemma":[0.00057285,0.00003316536,0.9353887,0.00003484145,0.00001840148,0.00001117202,0.0004344188,0.005924845,0.0001167147,0.05603462,0.001105855,0.0003244067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932555,0.0003161212,0.00008059968,0.0001588478,0.0004657645,0.0002122674,0.00001517484,0.00004074023,0.005454986],"genre_scores_gemma":[0.9990041,0.00003274724,0.0001607348,0.0001281015,0.0005188881,0.00002026178,0.0000370441,0.00001269165,0.00008547915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3140467,"threshold_uncertainty_score":0.985507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964128665915852,"score_gpt":0.225308656589894,"score_spread":0.2056673699307355,"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."}}