{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.001105676,0.001520433,0.001231384,0.0009680045,0.002568224,0.0003690112,0.002113262,0.0007512344,0.01553888],"category_scores_gemma":[0.0002216148,0.001532457,0.0008276457,0.003356986,0.003225371,0.001284985,0.003125245,0.001612749,0.004435141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004431657,"about_ca_system_score_gemma":0.0001353166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008437479,"about_ca_topic_score_gemma":0.001607918,"domain_scores_codex":[0.9912312,0.0004815121,0.001117053,0.002698119,0.00186618,0.00260594],"domain_scores_gemma":[0.995896,0.000553475,0.0007998622,0.001565475,0.0001522521,0.001032961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005551029,0.003371089,0.7729911,0.0002843327,0.001980748,0.003254434,0.01146084,0.0005103557,0.006838859,0.006570108,0.09749113,0.09469189],"study_design_scores_gemma":[0.001641888,0.0006569335,0.6452436,0.00006198529,0.0005203472,0.00003884667,0.02274991,0.00009211538,0.0000891453,0.0006416011,0.3265899,0.001673694],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9197246,0.001354391,0.0001558964,0.00684024,0.001576384,0.001964514,0.0002216304,0.0003200845,0.06784227],"genre_scores_gemma":[0.974887,0.00821929,0.004256385,0.001732811,0.0002052546,0.00006768783,0.00020482,0.0001092694,0.01031753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2290988,"threshold_uncertainty_score":0.9997544,"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."}}