{"id":"W4323065790","doi":"10.25250/thescbr.brk658","title":"Dark Side of Nudges","year":2022,"lang":"en","type":"article","venue":"TheScienceBreaker","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Nudge theory; Great Rift; Focus (optics); Transport engineering; Psychology; Geography; Social psychology; Engineering","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":[0.005723939,0.0008461814,0.00057393,0.001962178,0.004735414,0.007484307,0.001811652,0.002649868,0.09109447],"category_scores_gemma":[0.02134636,0.0005184969,0.000635743,0.00161984,0.008851517,0.01094208,0.007006309,0.003294612,0.0255143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001747654,"about_ca_system_score_gemma":0.002719613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006631664,"about_ca_topic_score_gemma":0.01511393,"domain_scores_codex":[0.994162,0.00269248,0.0002017453,0.0009018776,0.001530117,0.0005117992],"domain_scores_gemma":[0.9875871,0.003748836,0.0009816603,0.004440464,0.001973406,0.001268571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001043244,0.0001174437,0.008468213,0.000391562,0.00003488942,0.0003835113,0.009602617,0.000573157,0.001172131,0.670585,0.1547239,0.1538432],"study_design_scores_gemma":[0.00001236132,0.00005051547,0.002157668,0.0004019047,0.00001388848,0.0002352913,0.004296418,0.000322733,0.0005858961,0.0537481,0.9381414,0.00003384411],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.03166074,0.003059044,0.047886,0.0331437,0.003653202,0.0001578696,0.000567448,0.001371293,0.8785007],"genre_scores_gemma":[0.480022,0.002668442,0.03559145,0.01392961,0.0009127138,0.0002548756,0.0005788615,0.001877759,0.4641643],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.09109447,"threshold_uncertainty_score":0.3047413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00682728349535648,"score_gpt":0.1805492658486158,"score_spread":0.1737219823532593,"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."}}