{"id":"W2152665436","doi":"10.5751/es-04148-160229","title":"The Challenge of Developing Social Indicators for Cumulative Effects Assessment and Land Use Planning","year":2011,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of California, Santa Barbara; Alberta Innovates","keywords":"Cumulative effects; Environmental resource management; Environmental planning; Land-use planning; Land use; Land use, land-use change and forestry; Geography; Environmental science; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000263663,0.00007936527,0.0001233625,0.000005163112,0.000621651,0.000009465157,0.00005487018,0.0001028344,0.00002053232],"category_scores_gemma":[0.00001209177,0.00005794063,0.00004117051,0.00003457749,0.0004586287,0.0001150759,0.0001297655,0.00008889681,6.734319e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007768751,"about_ca_system_score_gemma":0.00001002643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003063641,"about_ca_topic_score_gemma":0.00002807997,"domain_scores_codex":[0.9994622,0.00005391928,0.0001075473,0.0001341367,0.00006865093,0.0001734873],"domain_scores_gemma":[0.9995291,0.0003056343,0.0000894654,0.00003779194,0.000001929316,0.00003610509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009135788,0.00003575322,0.9809479,0.00001314965,0.00006255815,5.14699e-7,0.01557561,9.428761e-7,0.00006165935,0.001369406,0.0001591763,0.001764259],"study_design_scores_gemma":[0.0003629861,0.0001175985,0.9947191,0.000003901046,0.00001884512,3.3901e-7,0.001031882,0.00006543215,0.00008551368,0.003248115,0.0002745789,0.00007164329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979146,0.00003267984,0.0002742505,0.0001409792,0.0000621451,0.0002288228,0.000004000417,0.000006375351,0.001336167],"genre_scores_gemma":[0.9968281,0.0001305872,0.00277195,0.0001566202,0.00001629734,0.00003106169,0.0000022067,0.000005539418,0.0000576695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01454373,"threshold_uncertainty_score":0.4781299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03709922093857398,"score_gpt":0.3208040539062151,"score_spread":0.2837048329676412,"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."}}