{"id":"W4388913317","doi":"10.1201/9781003262671-5","title":"Differing approaches to embedding low energy construction and climate literacy into vocational education and training","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocational education; Training (meteorology); Embedding; Literacy; Mathematics education; Energy (signal processing); Computer science; Pedagogy; Psychology; Geography; Artificial intelligence; Meteorology; Mathematics; Statistics","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"],"consensus_categories":[],"category_scores_codex":[0.00007495057,0.0002677019,0.0002042946,0.0003314118,0.00007850832,0.0001193439,0.00005325035,0.0001364437,0.00004878596],"category_scores_gemma":[0.000008418971,0.0002944641,0.00002583142,0.00005076137,0.00002281333,0.0001174319,0.00004703278,0.0001326091,0.00001960761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001113768,"about_ca_system_score_gemma":0.00005311188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004582787,"about_ca_topic_score_gemma":0.000009468979,"domain_scores_codex":[0.9991484,0.000003277683,0.000264334,0.0002832485,0.0001238188,0.0001768924],"domain_scores_gemma":[0.999631,0.00003937223,0.00003401904,0.0001120715,0.0000325289,0.0001510042],"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":[0.000001540262,0.000006689931,0.00003732377,0.0006884629,0.00007043136,6.3733e-7,0.004685102,0.001750717,0.00007761958,0.3548535,0.0004185803,0.6374094],"study_design_scores_gemma":[0.001536803,0.0001730374,0.02334467,0.01462517,0.0004135079,0.0008371163,0.009465905,0.2385601,0.001390053,0.0513415,0.6481168,0.0101954],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03221011,0.004142589,0.121467,0.001539961,0.01186315,0.001259512,0.00005628153,0.004609873,0.8228515],"genre_scores_gemma":[0.4785756,0.006291778,0.2571221,0.0005650155,0.002211994,0.0008087831,0.001058346,0.0008023938,0.252564],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6476982,"threshold_uncertainty_score":0.9999508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02671872177376917,"score_gpt":0.2264735518073324,"score_spread":0.1997548300335632,"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."}}