{"id":"W3046366871","doi":"10.13023/ktc.rr.2020.22","title":"Crash Modification Factor Recommendation List","year":2020,"lang":"en","type":"article","venue":"UKnowledge (University of Kentucky)","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crash; Factor (programming language); Computer science; Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004157523,0.002184586,0.001554585,0.007445264,0.00119856,0.003243356,0.00432842,0.0053056,0.4468265],"category_scores_gemma":[0.0455146,0.00107592,0.002000572,0.004950644,0.0003333426,0.003714922,0.001519491,0.002872849,0.2812547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002233789,"about_ca_system_score_gemma":0.005499306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03083652,"about_ca_topic_score_gemma":0.04724959,"domain_scores_codex":[0.996333,0.000560746,0.0005380151,0.0002944743,0.002044441,0.0002292314],"domain_scores_gemma":[0.9667667,0.005706537,0.00134051,0.001526949,0.0236053,0.001054022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009233967,0.00008654083,0.0006362411,0.0008351826,0.00001940527,0.000041609,0.00001615888,0.0004356077,0.0001958214,0.0006281933,0.8793368,0.117676],"study_design_scores_gemma":[0.0001303571,0.0001099075,0.002284514,0.001358611,0.00005575885,0.00008898223,0.0000611272,0.0007863562,0.0004621714,0.001818148,0.9927927,0.00005136878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003021743,0.01894424,0.04503717,0.03123882,0.01053206,0.007726225,0.3729291,0.01733682,0.4932339],"genre_scores_gemma":[0.02080508,0.03256384,0.0808409,0.01342849,0.004022812,0.007810769,0.4498686,0.003889476,0.38677],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4468265,"threshold_uncertainty_score":0.7890348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0288070558648579,"score_gpt":0.1833502123577976,"score_spread":0.1545431564929397,"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."}}