{"id":"W3203752672","doi":"10.1016/j.indic.2021.100154","title":"Assessment of the ecological footprint associated with consumer goods and waste management activities of south mediterranean cities: Case of Algiers and Tipaza","year":2021,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ecological footprint; Greenhouse gas; Carbon footprint; Environmental science; Municipal solid waste; Goods and services; Circular economy; Business; Product (mathematics); Natural resource economics; Environmental engineering; Environmental resource management; Environmental protection; Environmental planning; Waste management; Sustainability; Engineering; Ecology; Economics; Economy","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005415404,0.00023952,0.00040668,0.00005030847,0.0001881417,0.00001260265,0.0001199527,0.000112607,0.0002373816],"category_scores_gemma":[0.00006165829,0.0001683495,0.00007702629,0.0001568261,0.004700913,0.0001080366,0.0008894564,0.0001929753,8.492614e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004819452,"about_ca_system_score_gemma":0.00003446488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001055417,"about_ca_topic_score_gemma":0.00004774427,"domain_scores_codex":[0.9981459,0.0003024343,0.0004191844,0.0004366672,0.0003865742,0.0003091971],"domain_scores_gemma":[0.9989974,0.0001731943,0.0002935354,0.0003728867,0.000004089702,0.0001588328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003561647,0.0005155821,0.9905096,0.0002465786,0.0001155669,0.00008222805,0.00428598,0.00006362094,0.0005338967,0.0001803617,0.00000246847,0.003428507],"study_design_scores_gemma":[0.0007239649,0.0002945874,0.9009823,0.00001939012,0.0001143997,0.00006045432,0.09375593,0.00007374122,0.00325129,0.0005250372,0.00003114104,0.0001677202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998556,0.00008736737,0.00002104185,0.0001015392,0.00001952225,0.0005946454,0.00007209682,0.000006383148,0.0005413606],"genre_scores_gemma":[0.9995707,0.00007381196,0.0001539449,0.00002704925,0.000002755454,0.00002568788,0.000006521349,0.00001174478,0.0001277286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08952725,"threshold_uncertainty_score":0.9980077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0055530329181895,"score_gpt":0.2276878376104,"score_spread":0.2221348046922104,"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."}}