{"id":"W2335484640","doi":"10.1177/154193120104501202","title":"Supporting the Warning Designer: An Automotive Case Study","year":2001,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Warning system; Computer security; Function (biology); Rollover (web design); Quarter (Canadian coin); Risk analysis (engineering); Engineering; Transport engineering; Business; Aeronautics; Computer science; Telecommunications; World Wide Web; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007323499,0.0007894713,0.0005017144,0.00220707,0.01054083,0.003897874,0.00277765,0.006620173,0.005879129],"category_scores_gemma":[0.01168098,0.0005482454,0.0005801301,0.001982793,0.002450229,0.002382842,0.003493899,0.002763876,0.001155691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00359556,"about_ca_system_score_gemma":0.00299836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01305114,"about_ca_topic_score_gemma":0.03027011,"domain_scores_codex":[0.9930767,0.005006804,0.0001683828,0.0002365279,0.0006983532,0.0008133466],"domain_scores_gemma":[0.9911615,0.005906586,0.0005696702,0.0003645456,0.0009263064,0.001071389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001136399,0.01840314,0.08088126,0.0011998,0.0001092706,0.1202047,0.5532929,0.007833708,0.004561879,0.05326586,0.03279049,0.1263205],"study_design_scores_gemma":[0.0003572071,0.003724204,0.01880033,0.0006474591,0.00009787792,0.01595822,0.8030263,0.01078696,0.003766226,0.006060432,0.1366525,0.0001223438],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647877,0.0006337253,0.004006134,0.005816324,0.00007014267,0.0004329326,0.0001256424,0.00003488601,0.02409252],"genre_scores_gemma":[0.9753777,0.001675244,0.007599197,0.001415159,0.00005069253,0.0003256596,0.0001173267,0.00002735434,0.01341165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01305114,"threshold_uncertainty_score":0.03873086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03322555558234188,"score_gpt":0.3158934944515884,"score_spread":0.2826679388692465,"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."}}