{"id":"W2352634312","doi":"","title":"ECOLOGICAL FOOTPRINT ANALYSIS: CONCEPT, METHOD AND CASES","year":2000,"lang":"en","type":"article","venue":"Advance in Earth Sciences","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecological footprint; Adaptability; Footprint; Measure (data warehouse); Sustainable development; Environmental resource management; Computer science; Ecology; Environmental science; Geography; Data mining; Archaeology","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":[0.01619572,0.001182189,0.001023006,0.008084459,0.002753157,0.009779931,0.002594503,0.004966082,0.003271847],"category_scores_gemma":[0.01382109,0.0006485676,0.0008895225,0.01446971,0.01673217,0.01217504,0.006222725,0.002995764,0.0009166162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004528709,"about_ca_system_score_gemma":0.00302771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003740906,"about_ca_topic_score_gemma":0.003239966,"domain_scores_codex":[0.9885854,0.007536771,0.0005523938,0.0005699488,0.002255561,0.0004999599],"domain_scores_gemma":[0.9935364,0.004915081,0.0003418766,0.0004512049,0.0005247978,0.0002305032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003264174,0.00008327074,0.003248187,0.0003706879,0.00001114003,0.0009568991,0.002205677,0.001916326,0.0001472128,0.9431126,0.007526909,0.04038838],"study_design_scores_gemma":[0.0000293355,0.0000914518,0.001415842,0.001228911,0.00001803333,0.003332711,0.006191828,0.01138232,0.0007160251,0.7780253,0.1974872,0.00008101376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04109338,0.0629974,0.6243933,0.0325284,0.0009679671,0.001388648,0.0008588441,0.0003787896,0.2353932],"genre_scores_gemma":[0.4446691,0.04793588,0.4793605,0.00308522,0.0009889624,0.004290909,0.0004717786,0.000336947,0.01886067],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01619572,"threshold_uncertainty_score":0.08565217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086516009906661,"score_gpt":0.3162952382945763,"score_spread":0.2954300781955097,"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."}}