{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000179846,0.00005165656,0.0000756635,0.00003984215,0.00009188051,0.000003665622,0.0002007664,0.000009866325,0.0002769968],"category_scores_gemma":[0.00000436878,0.00004453656,0.00003134927,0.0002375724,0.00006821838,0.00004539561,0.0000557099,0.00007861428,0.00001898406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002256797,"about_ca_system_score_gemma":0.00001642764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006258084,"about_ca_topic_score_gemma":0.000001867957,"domain_scores_codex":[0.9994888,0.00001291311,0.00009651604,0.0000791253,0.0001845453,0.0001380863],"domain_scores_gemma":[0.9997844,0.0000235474,0.00001278872,0.000145037,0.000006919431,0.00002728589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00003013101,0.00014786,0.004996956,0.00006004029,0.0000487188,0.00002120776,0.006964438,0.7793469,0.04959848,0.01658239,0.02364153,0.1185614],"study_design_scores_gemma":[0.001773006,0.0004618482,0.4177811,0.00004068404,0.00007379104,0.0002665283,0.008436226,0.09286492,0.06720647,0.00777863,0.4017105,0.00160622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8732309,0.0002307364,0.000598128,0.0001055583,0.0004778592,0.00006822412,0.00001788564,0.0002165224,0.1250542],"genre_scores_gemma":[0.9993427,0.000007498275,0.0002183497,0.0000447574,0.00001470107,0.000007713305,0.000001032636,0.000007772212,0.0003554306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.686482,"threshold_uncertainty_score":0.303292,"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."}}