{"id":"W3013821189","doi":"10.1002/9781119434016.ch20","title":"Education and Human Resource Development for Sustainability","year":2020,"lang":"en","type":"other","venue":"Sustainability","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Sustainability; Interdependence; Government (linguistics); Business; Human resources; Sustainable development; Sustainability organizations; Economic growth; Population; Higher education; Political science; Economics; Management; Sociology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007067957,0.0003322891,0.0003849144,0.0003058523,0.0003157752,0.000212144,0.0002229383,0.0002462022,0.000570111],"category_scores_gemma":[0.0007698111,0.0003538799,0.00007079161,0.0002222414,0.0001487979,0.0001551182,0.0002609871,0.0001748706,0.0000243779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149104,"about_ca_system_score_gemma":0.001727963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005321513,"about_ca_topic_score_gemma":0.0001518497,"domain_scores_codex":[0.9983239,0.00001729126,0.0004722762,0.0006811288,0.0001474575,0.0003579372],"domain_scores_gemma":[0.9983886,0.00002746503,0.000383029,0.0003387222,0.0008334767,0.00002867518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002309641,0.0001787662,0.00915675,0.005831227,0.00004475615,8.872057e-7,0.0003651864,3.461633e-7,3.51091e-7,0.2941014,0.6530485,0.03724871],"study_design_scores_gemma":[0.0003138801,0.000005773716,0.006079899,0.00002614242,0.00002146737,1.757263e-7,0.003025852,0.000006722152,0.000001290632,0.04873791,0.9413996,0.0003813319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006686019,0.000176781,0.0008380099,0.01794257,0.0007013593,0.006548172,0.00001124819,0.0008453554,0.9662505],"genre_scores_gemma":[0.1020062,0.000001790525,0.002081117,0.006836507,0.00293069,0.001313722,0.0009794732,0.00055695,0.8832936],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.288351,"threshold_uncertainty_score":0.9998913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046173002612442,"score_gpt":0.2621239160002182,"score_spread":0.2516621859740938,"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."}}