{"id":"W2057020884","doi":"10.1016/j.aap.2014.03.016","title":"Exploration and comparison of crash modification factors for multiple treatments on rural multilane roadways","year":2014,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Rumble; Crash; Poison control; Transport engineering; Engineering; Forensic engineering; Medicine; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000124495,0.0001287503,0.0002752214,0.000200472,0.00006873206,0.00001913298,0.00005939337,0.00006790899,0.00001203184],"category_scores_gemma":[0.00003043536,0.0001152436,0.0001730036,0.0001921318,0.00001012873,0.0002105459,0.000007920171,0.00003918887,0.000004060744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004312358,"about_ca_system_score_gemma":0.000002149177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003385551,"about_ca_topic_score_gemma":0.000672183,"domain_scores_codex":[0.9992239,0.00003969184,0.0003441952,0.0001474104,0.0001353475,0.0001094751],"domain_scores_gemma":[0.9995309,0.00009517658,0.0001266678,0.0001688256,0.00004067389,0.00003778342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003262535,0.0001598151,0.5809123,0.000009992192,0.0007893659,2.007381e-8,0.000852235,0.3536847,0.001865793,0.0001178115,0.00007392145,0.06150148],"study_design_scores_gemma":[0.0005106201,0.00007919905,0.5062461,0.00001266688,0.0007662125,2.871004e-8,0.0002730544,0.4864018,0.00548383,0.0001072716,0.00003227216,0.00008688257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7736347,0.00005982014,0.2259006,0.0000117842,0.00005689151,0.0002325972,0.000001319922,0.00006946072,0.00003284313],"genre_scores_gemma":[0.9984733,0.00006502022,0.0006424609,0.00000127362,0.00002783072,0.000044879,0.0006512296,0.00001295487,0.0000810006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2252581,"threshold_uncertainty_score":0.4699498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03964055352044122,"score_gpt":0.3030722573840936,"score_spread":0.2634317038636524,"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."}}