{"id":"W1983584340","doi":"10.1016/s0301-4215(03)00210-6","title":"Consumer lifestyle approach to US energy use and the related CO2 emissions","year":2003,"lang":"en","type":"article","venue":"Energy Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":675,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Carnegie Mellon University; National Science Foundation","keywords":"Greenhouse gas; Environmental economics; Efficient energy use; Energy (signal processing); Consumer behaviour; Business; Clothing; Categorization; Economics; Natural resource economics; Public economics; Marketing; Engineering; Computer science; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004268436,0.0002626983,0.000164526,0.001057715,0.0005627775,0.001658007,0.000271683,0.001096696,0.006420511],"category_scores_gemma":[0.001168178,0.0001491754,0.0004856446,0.001996377,0.0009134231,0.0009235435,0.0005520883,0.001626498,0.0002875718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002636021,"about_ca_system_score_gemma":0.001066963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03647331,"about_ca_topic_score_gemma":0.08075505,"domain_scores_codex":[0.9997402,0.0001020892,0.000009069959,0.00003900117,0.00005803132,0.00005166234],"domain_scores_gemma":[0.9994714,0.0002123419,0.00008843179,0.00003047581,0.0001383916,0.00005898911],"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":[0.0004038395,0.001145669,0.2699434,0.0002180055,0.0003212292,0.0003971248,0.005705577,0.006426454,0.001149594,0.6290935,0.01439834,0.07079726],"study_design_scores_gemma":[0.00004702827,0.0004595265,0.5606765,0.0003121579,0.0003126498,0.0004753004,0.01472922,0.0181699,0.001282971,0.2519584,0.1514872,0.00008912763],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6563258,0.01662801,0.03076153,0.08427282,0.0009833821,0.0001096306,0.003162689,0.00009653141,0.2076596],"genre_scores_gemma":[0.9807481,0.003046577,0.001620334,0.001873964,0.0001795112,0.0000525709,0.0002961181,0.00001216321,0.01217083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03647331,"threshold_uncertainty_score":0.07252198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280931581605595,"score_gpt":0.2253550353576771,"score_spread":0.2125457195416212,"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."}}