{"id":"W2169922855","doi":"10.1061/(asce)0733-947x(2009)135:4(225)","title":"Evaluation of Current Repair Criteria for Longitudinal Barrier with Crash Damage","year":2009,"lang":"en","type":"article","venue":"Journal of Transportation Engineering","topic":"Transportation Safety and Impact Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ohio Department of Transportation","keywords":"Crash; Liability; Loss and damage; Forensic engineering; Business; Transport engineering; Risk analysis (engineering); Engineering; Computer science; Finance","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":[0.02242337,0.0007421673,0.001026127,0.01768252,0.002463546,0.002971314,0.004791555,0.000889498,0.001899582],"category_scores_gemma":[0.07356581,0.0003950463,0.001050466,0.008760315,0.001281369,0.001807797,0.001013413,0.0006596354,0.0004533041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01912482,"about_ca_system_score_gemma":0.03626162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4155011,"about_ca_topic_score_gemma":0.6664619,"domain_scores_codex":[0.9764178,0.002648642,0.003398082,0.0007516274,0.01588052,0.0009031735],"domain_scores_gemma":[0.8508287,0.02218992,0.008933178,0.001245924,0.1151082,0.001694191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001061985,0.0003761347,0.3420781,0.007935455,0.0003334511,0.0004699357,0.005963966,0.01183618,0.007226151,0.01352548,0.04805624,0.5611368],"study_design_scores_gemma":[0.0002769248,0.002467085,0.636229,0.01172259,0.002070783,0.002126374,0.02918278,0.05601069,0.02980774,0.006385175,0.2231185,0.0006023071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6011569,0.1419626,0.1010714,0.009477546,0.001237637,0.005336525,0.01150798,0.001095184,0.1271542],"genre_scores_gemma":[0.861492,0.01866339,0.1078039,0.0006527571,0.0001104156,0.0007391203,0.004710034,0.00008503686,0.005743304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4155011,"threshold_uncertainty_score":0.8261652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03135012448420514,"score_gpt":0.3013560316518444,"score_spread":0.2700059071676392,"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."}}