{"id":"W2909756248","doi":"10.1080/00140139.2019.1567829","title":"Expert evaluation of traffic signs: conventional vs. alternative designs","year":2019,"lang":"en","type":"article","venue":"Ergonomics","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Metabolomics Innovation Centre; University of Calgary","funders":"","keywords":"Human factors and ergonomics; Comprehension; Convention; Applied psychology; Sign (mathematics); Poison control; Risk analysis (engineering); Engineering; Psychology; Computer science; 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":[0.02403392,0.0003320293,0.000319025,0.001063257,0.0003232469,0.00108378,0.000393391,0.0005885429,0.001886812],"category_scores_gemma":[0.08559665,0.0001813339,0.0004797573,0.0004188909,0.0008812387,0.001118651,0.0009792075,0.0004253857,0.0003724305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004288453,"about_ca_system_score_gemma":0.00054947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005589605,"about_ca_topic_score_gemma":0.001083788,"domain_scores_codex":[0.9751539,0.01677606,0.002128769,0.000886128,0.004623868,0.0004313959],"domain_scores_gemma":[0.9124984,0.05688644,0.01179603,0.003414799,0.01430743,0.001096941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002934012,0.001252283,0.6768128,0.001595344,0.0004217065,0.0003901476,0.05116769,0.002764692,0.02825121,0.0009177155,0.002055938,0.2314365],"study_design_scores_gemma":[0.0002801256,0.008958274,0.9066085,0.0008659505,0.0003169958,0.00151103,0.04173287,0.01191499,0.0171841,0.002017016,0.00830919,0.0003009327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994217,0.00009571334,0.003475467,0.00005694364,0.0000112434,0.00009144143,0.0000192329,0.00001370106,0.002019278],"genre_scores_gemma":[0.9954674,0.0001000364,0.003961637,0.00005681004,0.00001034929,0.00007920104,0.0000420575,0.000005344115,0.0002771954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02403392,"threshold_uncertainty_score":0.1271051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07788820329109786,"score_gpt":0.3479505567352564,"score_spread":0.2700623534441586,"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."}}