{"id":"W4400380642","doi":"10.1016/j.gloenvcha.2024.102878","title":"Legacies of childhood learning for climate change adaptation","year":2024,"lang":"en","type":"article","venue":"Global Environmental Change","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Adaptation (eye); Context (archaeology); Geography; Early childhood; Archaeology; Psychology; Ecology; Developmental psychology","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":[0.001886206,0.0003409043,0.0003095262,0.0006906126,0.005116389,0.006231944,0.0008605612,0.001282157,0.009265229],"category_scores_gemma":[0.002883793,0.0001963335,0.000364966,0.0005540559,0.01695542,0.004414311,0.006242507,0.00185398,0.000556285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005588369,"about_ca_system_score_gemma":0.003811925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009200212,"about_ca_topic_score_gemma":0.03034481,"domain_scores_codex":[0.9984646,0.0008284159,0.00004451174,0.0001809039,0.0001420955,0.0003394624],"domain_scores_gemma":[0.9982622,0.0006848589,0.0002571066,0.000236811,0.0001718832,0.0003871177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007802575,0.0001492736,0.0208956,0.000458348,0.00003278486,0.001672565,0.2413888,0.0007885983,0.001469609,0.6428804,0.004111304,0.08607466],"study_design_scores_gemma":[0.00002169943,0.0001496176,0.04563195,0.001824602,0.00006814203,0.001786314,0.2351435,0.001048078,0.001888151,0.3017167,0.4106527,0.00006852372],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5029714,0.008055622,0.01057139,0.02007577,0.0002552334,0.00005667594,0.000122116,0.00009552166,0.4577963],"genre_scores_gemma":[0.9915181,0.001463614,0.00222686,0.0003681885,0.00002216756,0.00002226251,0.00003410834,0.00001420288,0.004330469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009265229,"threshold_uncertainty_score":0.04054666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02330393303991775,"score_gpt":0.2606200727504133,"score_spread":0.2373161397104956,"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."}}