{"id":"W2118935966","doi":"10.3390/ijerph120809575","title":"Can Public Health Risk Assessment Using Risk Matrices Be Misleading?","year":2015,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Public Health Agency","keywords":"Risk assessment; Risk analysis (engineering); Harm; Scope (computer science); Risk management; Risk management tools; Public health; Actuarial science; Computer science; Medicine; Psychology; Business; Social psychology; Computer security; Nursing; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01800588,0.0001062038,0.0002106613,0.0006584138,0.0008528326,0.0006057076,0.000559764,0.00005344446,0.0004373007],"category_scores_gemma":[0.0005406377,0.00009539344,0.00006696897,0.0002373222,0.0004483785,0.0007400904,0.0002045341,0.0006458924,0.00001109715],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003899589,"about_ca_system_score_gemma":0.002890114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01288941,"about_ca_topic_score_gemma":0.00266947,"domain_scores_codex":[0.9934422,0.00209726,0.0005672675,0.0002118974,0.002947166,0.0007342029],"domain_scores_gemma":[0.9969344,0.0001670755,0.0006701377,0.0001151803,0.0002476516,0.001865596],"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":[0.00008051545,0.002268315,0.355562,0.00002515679,0.0003996872,0.00004579215,0.06402736,0.00003848453,0.00003616764,0.01310852,0.04127981,0.5231282],"study_design_scores_gemma":[0.00096765,0.0006751586,0.06295031,0.00002569892,0.000002653319,0.00002205286,0.07099793,0.0001741646,3.77143e-7,0.003586485,0.8604874,0.0001101242],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7711881,0.00105303,0.001672157,0.221819,0.0006416177,0.0003133061,0.0001380603,0.0000133755,0.003161441],"genre_scores_gemma":[0.961643,0.03318634,0.002761827,0.001421337,0.0005697162,0.000003726873,0.00001405936,0.00001181024,0.0003882121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8192076,"threshold_uncertainty_score":0.9999242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2527479065467126,"score_gpt":0.5006570106911488,"score_spread":0.2479091041444361,"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."}}