{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1511819,0.002201102,0.00191169,0.00662177,0.001916255,0.01104828,0.004306027,0.003884515,0.004473822],"category_scores_gemma":[0.5217711,0.001451929,0.002145103,0.005424609,0.01205572,0.01652782,0.005836756,0.00612661,0.001258491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004392072,"about_ca_system_score_gemma":0.003984465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004616513,"about_ca_topic_score_gemma":0.005156709,"domain_scores_codex":[0.8128321,0.1500649,0.007125538,0.006203578,0.022973,0.0008009124],"domain_scores_gemma":[0.4704063,0.4469784,0.02635951,0.0303627,0.0248451,0.001048027],"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":[0.0007409084,0.0002547779,0.02663159,0.004668688,0.001349994,0.0006676673,0.0281623,0.02251038,0.00176979,0.5226256,0.02378318,0.3668351],"study_design_scores_gemma":[0.000121012,0.0003266891,0.006022468,0.002352593,0.0002171585,0.000842583,0.006374796,0.03675959,0.001546555,0.9156796,0.02943231,0.0003245616],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05652259,0.006193514,0.8314025,0.07131278,0.002157994,0.0008039158,0.001318397,0.0009882346,0.02930006],"genre_scores_gemma":[0.6329033,0.002321668,0.3521749,0.008723699,0.0007340661,0.001116517,0.0003254225,0.0003160453,0.001384404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1511819,"threshold_uncertainty_score":0.7995358,"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."}}