{"id":"W4221069928","doi":"10.1002/cb.2051","title":"Consumer matching costs to context: Status quo bias, temporal framing, and household energy decisions","year":2022,"lang":"en","type":"article","venue":"Journal of Consumer Behaviour","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Status quo; Framing (construction); Framing effect; Status quo bias; Energy (signal processing); Cognitive bias; Psychology; Economics; Cognition; Public economics; Social psychology; Persuasion; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007291221,0.0001858797,0.0002853646,0.000130672,0.0004199345,0.00006716752,0.0002742752,0.00004928636,0.002813889],"category_scores_gemma":[0.0001524727,0.000175319,0.000107113,0.0002052654,0.0002132064,0.0002439665,0.0004435313,0.0004177744,0.00001897946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008813746,"about_ca_system_score_gemma":0.0001066318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003422284,"about_ca_topic_score_gemma":0.0004436387,"domain_scores_codex":[0.9978195,0.0002551438,0.0006032674,0.0002707149,0.0006917772,0.0003595842],"domain_scores_gemma":[0.9986159,0.0002066975,0.0003406591,0.0002738962,0.00002120348,0.0005416322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006778798,0.0003471696,0.9353513,0.000001505458,0.00001658089,0.00005989246,0.001175389,0.0001947829,0.0005743944,0.00004103809,0.008751817,0.05341836],"study_design_scores_gemma":[0.000772962,0.0002059076,0.8028127,0.00001398369,0.00006211196,0.000260525,0.006841028,0.00001149606,0.0002121609,0.0002472875,0.1882943,0.0002655571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997407,0.0007566627,0.000471963,0.0005891102,0.0003835884,0.0001598605,0.00005649907,0.0000132811,0.0001620408],"genre_scores_gemma":[0.9964258,0.0001375885,0.001301134,0.001470722,0.00001754877,0.00001930898,0.000005556254,0.00002569299,0.0005966419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1795425,"threshold_uncertainty_score":0.9980977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02459344294259706,"score_gpt":0.2720243161140855,"score_spread":0.2474308731714885,"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."}}