{"id":"W1960834894","doi":"10.24917/48","title":"Założenia koncepcji ekologicznego śladu i przykłady obliczeń dla dużych miast","year":2010,"lang":"pl","type":"article","venue":"Annales Universitatis Paedagogicae Cracoviensis Studia Geographica","topic":"Sustainable Development and Environmental Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ecological footprint; Per capita; Geography; Population; Environmental protection; Economy; Sustainable development; Ecology; Economics; Demography; Sociology","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":[0.0004384863,0.0006680816,0.0008942071,0.003724411,0.001711556,0.005971224,0.000416146,0.0007058784,0.01083772],"category_scores_gemma":[0.0006108161,0.0003827375,0.0005672605,0.004090758,0.001842766,0.003216003,0.00341923,0.002114696,0.004158471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002321295,"about_ca_system_score_gemma":0.002544559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005850008,"about_ca_topic_score_gemma":0.008168104,"domain_scores_codex":[0.9994529,0.00006780057,0.00005896405,0.0001194731,0.0001457316,0.000155095],"domain_scores_gemma":[0.9998007,0.00003343959,0.00004939893,0.00002496435,0.00005093743,0.00004060424],"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":[0.000440823,0.0002532976,0.02677085,0.003425673,0.0001799039,0.003517569,0.01595788,0.002196166,0.01019977,0.22811,0.08155952,0.6273886],"study_design_scores_gemma":[0.00001818368,0.00006018304,0.0353226,0.0007408329,0.0000635417,0.002589811,0.004219285,0.0003987619,0.001096322,0.01514343,0.9402921,0.00005492452],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3265057,0.1885353,0.03215218,0.0182552,0.004368695,0.0003180353,0.005365076,0.001469306,0.4230306],"genre_scores_gemma":[0.7322399,0.08649598,0.01949602,0.00257343,0.001061175,0.0003176921,0.003544612,0.0007201432,0.153551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01083772,"threshold_uncertainty_score":0.03625584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009761471513249574,"score_gpt":0.2195579662560916,"score_spread":0.209796494742842,"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."}}