{"id":"W2061737056","doi":"10.3141/2019-07","title":"Evaluating Impact on Safety of Improved Signal Visibility at Urban Signalized Intersections","year":2007,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Visibility; Intersection (aeronautics); Statistics; Collision; SIGNAL (programming language); Bayes' theorem; Computer science; Transport engineering; Environmental science; Engineering; Geography; Mathematics; Computer security; Meteorology; Bayesian probability","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002361033,0.0003685585,0.0003030739,0.0009692818,0.0003265214,0.0003827842,0.0004723237,0.0003792797,0.001467065],"category_scores_gemma":[0.008114072,0.000166272,0.0006260521,0.0005913069,0.0004375828,0.0004640462,0.0005470667,0.0002820564,0.0001039249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009215408,"about_ca_system_score_gemma":0.001073197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00570412,"about_ca_topic_score_gemma":0.01105927,"domain_scores_codex":[0.9956223,0.002272587,0.0002049358,0.0002515495,0.00123823,0.0004102935],"domain_scores_gemma":[0.9950612,0.002567685,0.001121815,0.0002255845,0.0007851095,0.000238522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01164456,0.008360219,0.7690181,0.0005999457,0.0008738703,0.000505236,0.001151582,0.02806606,0.01024904,0.0009131992,0.0005226929,0.1680954],"study_design_scores_gemma":[0.0004056269,0.06085349,0.9112939,0.00006257242,0.0006624554,0.0002486618,0.001265835,0.01166861,0.01181648,0.0004981615,0.001180844,0.00004343327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990638,0.00005623502,0.0003696054,0.00002684352,0.000002416299,0.00003371211,0.00003463178,0.000003971475,0.0004088501],"genre_scores_gemma":[0.9991028,0.00007823439,0.0005521248,0.000008679075,0.000005533596,0.00001657705,0.00007185719,0.000001330281,0.0001629439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00570412,"threshold_uncertainty_score":0.01248646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07914869624140292,"score_gpt":0.4114201118651722,"score_spread":0.3322714156237693,"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."}}