{"id":"W2516521801","doi":"10.3390/safety2030016","title":"Risk Compensation: Revisited and Rebutted","year":2016,"lang":"en","type":"article","venue":"Safety","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Rebuttal; Compensation (psychology); Legislature; Risk compensation; AKA; Risk analysis (engineering); Poison control; Randomized controlled trial; Law and economics; Law; Political science; Computer security; Psychology; Economics; Business; Computer science; Social psychology; Medicine; Environmental health","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002160969,0.00004951382,0.00006726124,0.000009055558,0.0001112578,0.000005629075,0.00003939386,0.00002799266,0.004516344],"category_scores_gemma":[0.00006442765,0.00003078842,0.0000100879,0.00007003704,0.0000603295,0.00008942767,0.00005886167,0.00003201679,0.000688909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006247689,"about_ca_system_score_gemma":0.0000018829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007764221,"about_ca_topic_score_gemma":0.00006240464,"domain_scores_codex":[0.9994969,0.0000361608,0.0001033114,0.0001292155,0.00008646119,0.000147981],"domain_scores_gemma":[0.9996413,0.00007358638,0.00004748836,0.0001290291,0.000003106565,0.0001055183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009017168,0.00002002199,0.7170485,0.00001279595,0.000003617693,0.000004227436,0.000448989,0.000001484597,0.004065685,0.0003181279,0.02403424,0.2539522],"study_design_scores_gemma":[0.0003379063,0.00002904058,0.9380324,0.00002846904,0.0000041816,0.000003864636,0.00001238465,0.00002920867,0.00009790141,0.000848364,0.06051803,0.00005821085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524089,0.0001116118,0.0005677317,0.01186177,0.00007904363,0.0002376459,0.0000837422,0.00007013325,0.03457939],"genre_scores_gemma":[0.9969987,0.001239261,0.0002677053,0.0008672572,0.00005175999,0.000001853066,0.00000517631,0.000005431965,0.0005628706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2538939,"threshold_uncertainty_score":0.9963937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02802894714168584,"score_gpt":0.277663464208186,"score_spread":0.2496345170665001,"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."}}