{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01030949,0.003013955,0.002274188,0.003330636,0.005234668,0.006582506,0.005420446,0.01536013,0.03185611],"category_scores_gemma":[0.1774009,0.001214393,0.002055258,0.002633574,0.006000242,0.004687345,0.004018625,0.02887105,0.03028876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007420389,"about_ca_system_score_gemma":0.009556975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02618046,"about_ca_topic_score_gemma":0.01996193,"domain_scores_codex":[0.9896441,0.001919405,0.001478042,0.001559267,0.004696983,0.0007022972],"domain_scores_gemma":[0.9137886,0.0234155,0.00389579,0.004519601,0.05138324,0.002997324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001065126,0.000001615312,0.00002004758,0.00003448581,0.000005376527,0.00005888351,0.00005097406,0.00001430416,0.00001023836,0.0007324974,0.9977355,0.001325265],"study_design_scores_gemma":[0.00002475753,0.00001335564,0.0004309573,0.00043555,0.0000245149,0.0002802702,0.0001852823,0.0001905691,0.0001362461,0.00291122,0.9953235,0.00004369996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.00007868079,0.001243133,0.0005335,0.2015824,0.7944021,0.00001590714,0.000584694,0.0002017267,0.00135786],"genre_scores_gemma":[0.01669147,0.008261395,0.003748897,0.3596464,0.5058602,0.0002530722,0.001164975,0.001040128,0.1033334],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03185611,"threshold_uncertainty_score":0.1065693,"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."}}