{"id":"W2522475382","doi":"10.3390/safety2030019","title":"Correction: Pless, B. Risk Compensation: Revisited and Rebutted. Safety 2016, 2, 16","year":2016,"lang":"en","type":"article","venue":"Safety","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Regret; Compensation (psychology); Engineering; Computer science; Psychology; Social psychology; Machine learning","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":[0.0009269679,0.0001026576,0.00014898,0.00005563092,0.000892478,0.00005080773,0.0001230816,0.00008270062,0.004359978],"category_scores_gemma":[0.0002166836,0.00007529484,0.00005065617,0.0002150624,0.0002618463,0.0002349143,0.00006164843,0.00008612731,0.0003989302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415072,"about_ca_system_score_gemma":0.00005833286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001441629,"about_ca_topic_score_gemma":0.002235532,"domain_scores_codex":[0.998629,0.0003434347,0.0002492358,0.0002754381,0.0002747141,0.0002281299],"domain_scores_gemma":[0.9992434,0.0001832293,0.0001278104,0.0002214202,0.00009290763,0.0001311925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001103446,0.00003244559,0.00999136,0.00000692101,0.0000299348,0.000001628138,0.003062731,0.000004502669,0.00002430489,0.03955288,0.3738331,0.5733498],"study_design_scores_gemma":[0.0004451807,0.00001760486,0.1177236,0.00005387493,0.00001744143,7.816612e-7,0.001398691,0.00001794819,0.000003445903,0.0009230672,0.8792782,0.0001201618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005475427,0.0005890887,0.05686197,0.04304139,0.003574114,0.000994798,0.0000986659,0.0005887164,0.8887758],"genre_scores_gemma":[0.8305183,0.03148548,0.0004055504,0.001093298,0.0008547517,0.00001355145,0.00002397339,0.00001787643,0.1355872],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8250429,"threshold_uncertainty_score":0.9965501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441211308872744,"score_gpt":0.2790289857746404,"score_spread":0.264616872685913,"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."}}