{"id":"W2086572588","doi":"10.1016/j.aap.2012.10.007","title":"Driver anger on the information superhighway: A content analysis of online complaints of offensive driver behaviour","year":2012,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; Centre for Addiction and Mental Health","funders":"","keywords":"Content analysis; Applied psychology; Offensive; Coding (social sciences); Poison control; Aggressive driving; Computer security; Engineering; Psychology; Human factors and ergonomics; Transport engineering; Computer science; Operations research; Medicine; Medical emergency","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000302031,0.0001589433,0.000472665,0.0007308369,0.00005416345,0.00001260848,0.0001685437,0.00008389686,0.0005599965],"category_scores_gemma":[0.00003156309,0.0001167832,0.0007429135,0.001401231,0.0000400635,0.0003856632,0.00004049445,0.0001152848,0.00002701558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007146251,"about_ca_system_score_gemma":0.000007160689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001511258,"about_ca_topic_score_gemma":0.001058276,"domain_scores_codex":[0.998595,0.00009184348,0.0006332636,0.0001015519,0.000385041,0.0001932913],"domain_scores_gemma":[0.9990302,0.0001016609,0.0002518954,0.000346248,0.0002130004,0.00005698149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002113817,0.0002187297,0.9311706,0.000005483877,0.00966552,3.097664e-7,0.001507267,0.05338767,0.0004220914,0.0004434686,0.0004515487,0.00270614],"study_design_scores_gemma":[0.0002282182,0.00002391344,0.9670914,0.00002037379,0.01035142,2.767117e-7,0.0007465454,0.02041775,0.0008710056,0.000005010808,0.0001288779,0.0001152323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928726,0.00009201519,0.006423015,0.00004997503,0.0001033631,0.0001967064,0.00001833837,0.00004715446,0.0001968072],"genre_scores_gemma":[0.9988233,0.0000676983,0.000125466,0.00002976576,0.00002651283,0.000009756187,0.0008050048,0.000008355355,0.0001040862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03592075,"threshold_uncertainty_score":0.6131569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03023525781418065,"score_gpt":0.2506141225360008,"score_spread":0.2203788647218202,"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."}}