{"id":"W4413059313","doi":"10.1145/3708035.3736059","title":"SynthEco: An open-source Python application for the generation of a multi-scale digital ecosystem anchored in synthetic populations","year":2025,"lang":"en","type":"article","venue":"","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; McGill University","funders":"","keywords":"Python (programming language); Open source; Computer science; Ecosystem; Open source software; Scale (ratio); Programming language; Ecology; Geography; Software; Biology; Cartography","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":[0.002082663,0.00009487522,0.0002021032,0.0002686163,0.0001992757,0.0004190029,0.0006776396,0.00006727523,0.00001320824],"category_scores_gemma":[0.0005908288,0.00006155131,0.00006670751,0.0008000394,0.00003154842,0.0005366571,0.00007686288,0.000046819,0.00000778712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002615491,"about_ca_system_score_gemma":0.00004474553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002314951,"about_ca_topic_score_gemma":0.007445243,"domain_scores_codex":[0.9982768,0.0001093929,0.0007579108,0.0004119592,0.0003136553,0.000130231],"domain_scores_gemma":[0.9981473,0.0006659157,0.0002230302,0.0006452888,0.0002865497,0.00003193258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001083853,0.0006553086,0.02034198,0.00002610506,0.00002490419,9.06731e-8,0.00127081,0.1852731,0.01139628,0.03007203,0.0006840665,0.7501469],"study_design_scores_gemma":[0.0003366501,0.00002963721,0.00578085,0.0000207092,0.00001443598,5.165255e-7,0.001756457,0.9845568,0.0003920808,0.005330102,0.001710766,0.00007098183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2906604,0.00004250634,0.707106,0.0004843001,0.0001177815,0.0008947334,0.00003967605,0.00002662623,0.0006279847],"genre_scores_gemma":[0.9924628,0.000005223297,0.006227677,0.00005371788,0.00002023634,0.0003182746,0.00004538499,0.000009397108,0.0008573416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7992837,"threshold_uncertainty_score":0.415462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2220389897631051,"score_gpt":0.420137183732944,"score_spread":0.1980981939698389,"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."}}