{"id":"W2375805018","doi":"","title":"The measurement of sustainability using ecological footprint analysis method","year":2004,"lang":"en","type":"article","venue":"Grassland and Turf","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecological footprint; Sustainability; Connotation; Sustainable development; Footprint; Measure (data warehouse); Environmental resource management; Ecological deficit; Environmental economics; Ecology; Geography; Environmental science; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002800867,0.0006752322,0.0005746122,0.005809669,0.0007858715,0.002173128,0.000824391,0.0006818784,0.003650068],"category_scores_gemma":[0.004892737,0.0001818814,0.0005304868,0.007444175,0.0008099245,0.002477814,0.001313588,0.0007183248,0.000812825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118361,"about_ca_system_score_gemma":0.001269075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002796151,"about_ca_topic_score_gemma":0.002532861,"domain_scores_codex":[0.9952478,0.001560664,0.0003067511,0.0004048629,0.002327351,0.0001525919],"domain_scores_gemma":[0.9974369,0.0009480443,0.0002728584,0.0002610348,0.001000271,0.00008090193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001280228,0.000217443,0.04250956,0.001073198,0.0002294303,0.0002212697,0.001731665,0.0135301,0.01567826,0.1093727,0.01319214,0.8021161],"study_design_scores_gemma":[0.00008315944,0.0007645224,0.1200434,0.001392532,0.0004141074,0.002392981,0.011211,0.1875731,0.06573961,0.2433393,0.3663672,0.0006790484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05148819,0.002634123,0.8666025,0.0006479491,0.0004153943,0.0007937452,0.002374705,0.000802291,0.07424116],"genre_scores_gemma":[0.3759346,0.002777181,0.6094427,0.0001821657,0.00008933135,0.001356618,0.001566167,0.0001085076,0.008542906],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005809669,"threshold_uncertainty_score":0.01481259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02424845141666656,"score_gpt":0.2831513612262362,"score_spread":0.2589029098095697,"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."}}