{"id":"W1976262555","doi":"10.1016/j.aap.2012.03.003","title":"Driving in fog: The effects of driving experience and visibility on speed compensation and hazard avoidance","year":2012,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":155,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Western University","funders":"AAA Foundation for Traffic Safety","keywords":"Visibility; Driving simulator; Hazard; Risk compensation; Poison control; Compensation (psychology); Simulation; Hazard model; Collision; Aeronautics; Transport engineering; Engineering; Computer science; Psychology; Computer security; Meteorology; Medicine; Geography; Social psychology; Medical emergency; Mathematics","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":[0.0004531519,0.00009640016,0.0001925924,0.0001251087,0.00005770836,0.00002042934,0.0000648623,0.00004138616,0.00001051667],"category_scores_gemma":[0.00007564761,0.00007715146,0.00007156236,0.000332879,0.00002963545,0.0002827173,0.00003503437,0.00008964895,0.000001286918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000391877,"about_ca_system_score_gemma":0.00000223989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002103803,"about_ca_topic_score_gemma":0.000819787,"domain_scores_codex":[0.9992306,0.0000986304,0.0002474874,0.0001423576,0.0001390652,0.0001418675],"domain_scores_gemma":[0.999523,0.0001745808,0.00007100124,0.0001818227,0.00001366947,0.00003591974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003061924,0.00002873808,0.9840302,0.00001344032,0.00008256708,2.073373e-7,0.001800039,0.004048795,0.002578572,0.00008945461,0.000003215911,0.007321674],"study_design_scores_gemma":[0.0001637662,0.00001509074,0.9723517,0.00007762814,0.0001560457,4.485854e-7,0.0001849545,0.02462279,0.002286604,0.00006077709,0.000004589126,0.00007561275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928318,0.0004691055,0.006335701,0.00001632238,0.00008535531,0.0001750628,3.316996e-8,0.000031131,0.00005546294],"genre_scores_gemma":[0.9996321,0.000176033,0.0001257066,0.000004352632,0.00002580391,0.00000793069,0.000003420422,0.000006293724,0.00001841109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02057399,"threshold_uncertainty_score":0.3146145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006830295203409377,"score_gpt":0.2484676980948651,"score_spread":0.2416374028914557,"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."}}