{"id":"W2020762129","doi":"10.1007/s00267-002-2721-8","title":"Soft Systems Methodology and the Ecosystem Approach: A System Study of the Cooum River and Environs in Chennai, India","year":2003,"lang":"en","type":"article","venue":"Environmental Management","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Soft systems methodology; Environmental resource management; Context (archaeology); Environmental planning; Conceptual framework; Work (physics); Adaptive management; Flooding (psychology); Ecosystem; Urban stream; Poverty; Geography; Environmental science; Ecology; Information system; Sociology; Engineering; Management information systems; Political science; Social science","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":[0.008072868,0.0002305016,0.0006363774,0.0002203094,0.0002658176,0.0001339577,0.00063521,0.00006218687,0.00002312668],"category_scores_gemma":[0.0001323031,0.0001185011,0.00008531792,0.0003357444,0.0003382859,0.00009806937,0.0009193698,0.0001566634,0.00002102167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010795,"about_ca_system_score_gemma":0.000004525296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000108176,"about_ca_topic_score_gemma":0.00003788613,"domain_scores_codex":[0.9932148,0.003652636,0.001061723,0.0006812572,0.001128959,0.0002605644],"domain_scores_gemma":[0.9970499,0.001356051,0.00050917,0.001013672,0.00000578401,0.00006541907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004251874,0.001622018,0.5637002,0.00044324,0.0006530517,0.0001065191,0.04034809,0.01156372,0.0001702034,0.3687712,0.0009842578,0.01121236],"study_design_scores_gemma":[0.006774413,0.0001560809,0.6809167,0.0001148519,0.0001364317,0.000161259,0.2855186,0.01388263,0.000007228954,0.002278171,0.009700187,0.000353465],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833292,0.00194222,0.00573814,0.00002474554,0.0004351901,0.002959619,0.00001338963,0.00001157049,0.005545867],"genre_scores_gemma":[0.9984508,0.0000122898,0.0004072156,0.0000276989,0.0000152735,0.0001682227,2.539173e-7,0.00001397656,0.0009043271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.366493,"threshold_uncertainty_score":0.4832335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.103122323573913,"score_gpt":0.3061904412830408,"score_spread":0.2030681177091278,"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."}}