{"id":"W2736007343","doi":"10.1088/1748-9326/aa7541","title":"The climate mitigation gap: education and government recommendations miss the most effective individual actions","year":2017,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":1001,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Greenhouse gas; Climate change; Government (linguistics); Business; Natural resource economics; Environmental science; Environmental economics; Agricultural economics; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001987131,0.0001654255,0.0000845325,0.00001925002,0.00718811,0.000524124,0.0006762567,0.00005240933,0.0007076354],"category_scores_gemma":[0.000350603,0.0001142959,0.00004975187,0.00007565094,0.002670691,0.0005402309,0.0009623176,0.0004928661,0.0002997084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001474597,"about_ca_system_score_gemma":0.00001898332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00025691,"about_ca_topic_score_gemma":0.0001584312,"domain_scores_codex":[0.9972382,0.0005302264,0.0002163824,0.0004437032,0.001049838,0.0005216827],"domain_scores_gemma":[0.9982238,0.0005567446,0.0001463019,0.0008849653,0.000003251664,0.0001849226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006107325,0.0007494224,0.4346519,0.00001123804,0.00006198448,0.000002205343,0.003280543,0.0000548505,0.02053648,0.0007461631,0.0396522,0.500192],"study_design_scores_gemma":[0.0001899489,0.0000463941,0.8862952,0.000007334304,0.0000139829,0.000006668162,0.007858983,0.00006427762,0.001339554,0.0005384298,0.1035111,0.0001281221],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210173,0.00009069436,0.00001855753,0.07286714,0.0002621375,0.001150477,0.00004658441,0.00001194482,0.004535117],"genre_scores_gemma":[0.9959477,0.0005520576,0.0001507703,0.001388565,0.00008437671,0.0006368239,0.0000366048,0.00001885243,0.001184242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5000639,"threshold_uncertainty_score":0.9941044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650521053525456,"score_gpt":0.3509334822428758,"score_spread":0.3244282717076212,"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."}}