{"id":"W2012041761","doi":"10.1177/0013916513520416","title":"The Influence of Descriptive Social Norm Information on Sustainable Transportation Behavior","year":2014,"lang":"en","type":"article","venue":"Environment and Behavior","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":183,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Descriptive statistics; Baseline (sea); Norm (philosophy); Descriptive research; Sustainable transport; Control (management); Psychology; Transport engineering; Social psychology; Business; Sustainability; Engineering; Political science; Computer science; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002961849,0.0001305124,0.0001049755,0.00002183773,0.000429023,0.00002981222,0.0001267465,0.00006281018,0.0002868304],"category_scores_gemma":[0.00001912182,0.0001015,0.00004405103,0.00006132737,0.0004974253,0.0004677603,0.00004035546,0.0001095277,0.00007562586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002529154,"about_ca_system_score_gemma":0.000005525784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002119962,"about_ca_topic_score_gemma":0.00001927,"domain_scores_codex":[0.9989609,0.00005345272,0.0002674669,0.0001685896,0.0003191988,0.000230389],"domain_scores_gemma":[0.9995921,0.00003346122,0.0001299199,0.0001717826,0.000005079532,0.00006771144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006913619,0.0005834076,0.9477946,0.00001951597,0.000004343457,0.000001367511,0.005871028,0.0006940298,0.002444941,0.001947525,0.0002463291,0.04032379],"study_design_scores_gemma":[0.0002664602,0.0001468435,0.9815068,0.00000152942,0.00004673819,5.059011e-7,0.003381485,0.00001413675,0.0006972274,0.0001174064,0.01370463,0.0001162179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984537,0.000004395901,0.00003960335,0.0001914847,0.00002667,0.0004953892,0.000005484356,0.00001141252,0.0007718086],"genre_scores_gemma":[0.9987518,0.00002408243,0.00007230436,0.00008584643,0.00001044533,0.0002339694,0.00002195289,0.000006717059,0.0007929043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04020758,"threshold_uncertainty_score":0.4139051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005012561624210522,"score_gpt":0.2122023017187135,"score_spread":0.207189740094503,"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."}}