{"id":"W4403737017","doi":"10.3390/su16219210","title":"Educating in and for Degrowth: Training Future Generations to Prevent Environmental Collapse","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"European Commission","keywords":"Degrowth; Training (meteorology); Economics; Environmental ethics; Sustainability; Ecology; Engineering; Geography; Biology; Philosophy; Meteorology","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":[],"consensus_categories":[],"category_scores_codex":[0.0008147437,0.00004625239,0.00005704798,0.00005413605,0.0003208827,0.00008144615,0.00006522094,0.00004323511,0.0001182715],"category_scores_gemma":[0.0003038704,0.00004901059,0.00002392051,0.0001525059,0.00006659543,0.00009784826,0.00003368138,0.00005970416,0.000001780247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008422328,"about_ca_system_score_gemma":0.0002614461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002765813,"about_ca_topic_score_gemma":0.006195715,"domain_scores_codex":[0.9993837,0.0001327999,0.0001090954,0.0001566678,0.00006658166,0.0001511108],"domain_scores_gemma":[0.9996448,0.0001428822,0.00001037002,0.0001058191,0.00002957455,0.00006659621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00000952516,0.0001215439,0.005899952,0.0001227963,0.000003413844,4.740673e-7,0.693715,0.00001751558,0.0002687397,0.02183251,0.0005823773,0.2774261],"study_design_scores_gemma":[0.00009858645,0.0000408788,0.03316808,0.00002332742,0.000006126811,6.177092e-7,0.685783,0.0005370101,0.00001483243,0.01385163,0.2663354,0.0001405085],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645793,0.0003997943,0.0001277762,0.03297453,0.0001719149,0.0008449598,0.00002046082,0.00003186823,0.0008493642],"genre_scores_gemma":[0.9980048,0.0002110132,0.0005489369,0.0001139531,0.0002600963,0.0002555961,0.00002225078,0.000004982773,0.0005783892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2772856,"threshold_uncertainty_score":0.3457354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2365766607858614,"score_gpt":0.4644332554072878,"score_spread":0.2278565946214264,"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."}}