{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07245751,0.001750131,0.003023595,0.003065022,0.006765328,0.01281162,0.01365606,0.06638946,0.005587148],"category_scores_gemma":[0.1519441,0.001161601,0.003765637,0.002434216,0.04733292,0.02188868,0.00905725,0.0757546,0.002724508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01123912,"about_ca_system_score_gemma":0.01449299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01051365,"about_ca_topic_score_gemma":0.008069496,"domain_scores_codex":[0.9431638,0.02085938,0.005555635,0.01011922,0.01783711,0.002464943],"domain_scores_gemma":[0.8562109,0.1167037,0.004054471,0.003901178,0.01724978,0.001880055],"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":[0.00009830656,0.00003959041,0.0002906448,0.001010152,0.00009920664,0.0005020392,0.005183824,0.0004734392,0.000271921,0.7390216,0.2246441,0.02836527],"study_design_scores_gemma":[0.00009958891,0.00006840038,0.0004828592,0.004612795,0.0001108884,0.000478372,0.004204396,0.0007472386,0.0003002212,0.4192249,0.5695311,0.0001391984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0003797844,0.01493132,0.001518075,0.9523528,0.0278758,0.000009581917,0.00002287766,0.00002156528,0.002888205],"genre_scores_gemma":[0.03256802,0.01415995,0.003169503,0.8673815,0.07818383,0.0001422294,0.00003331625,0.00008593346,0.004275747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07245751,"threshold_uncertainty_score":0.3831965,"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."}}