{"id":"W154200952","doi":"10.1023/a:1019714712317","title":"Self-Organization and Resource Exchange in EVS Modeling","year":2002,"lang":"en","type":"article","venue":"Nonlinear Dynamics Psychology and Life Sciences","topic":"Chaos, Complexity, and Education","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Resource (disambiguation); Population; Computer science; Sociology; Demography","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":[0.0004866476,0.00009121782,0.0001058051,0.000205094,0.000255394,0.0000840526,0.0003432565,0.0000819678,0.00001329807],"category_scores_gemma":[0.00007310045,0.00008703431,0.00000939538,0.0007447487,0.0001614697,0.0003235999,0.0001101005,0.0001183436,0.000008221159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001525569,"about_ca_system_score_gemma":0.00002306509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002189699,"about_ca_topic_score_gemma":0.00009423476,"domain_scores_codex":[0.9990008,0.00006326874,0.0001691079,0.0004315454,0.0001238174,0.0002115024],"domain_scores_gemma":[0.999593,0.0000530192,0.00004932175,0.0001835493,0.00003834566,0.00008279912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003463103,0.002549352,0.3676751,0.0003801784,0.00006280631,0.00003663443,0.1271854,0.009608312,0.000134973,0.1421203,0.003701927,0.3465104],"study_design_scores_gemma":[0.0001788965,0.00005587335,0.003860373,0.00000737146,0.000001841634,0.00002995805,0.0002163422,0.9924399,8.458796e-7,0.002518755,0.0005849401,0.0001049098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8933671,0.002280771,0.09109256,0.00898802,0.0005603788,0.0001330401,0.000002053848,0.0001228375,0.003453307],"genre_scores_gemma":[0.9319113,0.001990191,0.06395081,0.001850637,0.0001965076,0.00000357153,0.000005943396,0.000006990272,0.00008401899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9828316,"threshold_uncertainty_score":0.3549156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04945694086404882,"score_gpt":0.3029493965760098,"score_spread":0.2534924557119609,"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."}}