{"id":"W1600821529","doi":"","title":"Comparison of Driver Yielding for Three Rapid-Flashing Patterns Used With Pedestrian Crossing Signs","year":2015,"lang":"en","type":"article","venue":"Rosa P: A digital library for transportation research (United States Department of Transportation)","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flashing; Pedestrian; Flash (photography); Beacon; Significant difference; Statistical analysis; Transport engineering; Engineering; Simulation; Statistics; Computer science; Mathematics; Telecommunications; Optics; Physics; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002324359,0.0002929705,0.0004855212,0.000468943,0.0002042159,0.0002035426,0.0002604365,0.0001275487,0.00002385075],"category_scores_gemma":[0.00001314957,0.0002765984,0.0002020365,0.0008255272,0.0002040226,0.001953517,0.000002494695,0.0002127716,0.000001395559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003772442,"about_ca_system_score_gemma":0.0001763681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008452091,"about_ca_topic_score_gemma":0.0003857333,"domain_scores_codex":[0.997525,0.00002420853,0.0008731344,0.0003302333,0.0007129126,0.0005345311],"domain_scores_gemma":[0.9984137,0.0005657729,0.0001848152,0.0002060088,0.0003533922,0.0002762602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004071004,0.001158316,0.394408,0.004654843,0.001021413,0.00003231229,0.02167256,0.550388,0.0002288401,0.005102054,0.007657637,0.009605058],"study_design_scores_gemma":[0.03042175,0.01201935,0.2345352,0.002597723,0.0008556206,0.000002818953,0.03393794,0.2754049,0.05765985,0.005107474,0.3441497,0.003307654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7191797,0.0001123187,0.1881386,0.0001007108,0.00006359917,0.001255256,0.09090792,0.0002254681,0.00001643977],"genre_scores_gemma":[0.8272282,0.00002084407,0.004123839,0.000006840698,0.00002748943,0.0002005274,0.1682784,0.00009114596,0.00002266237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3364921,"threshold_uncertainty_score":0.9999686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07840021695710195,"score_gpt":0.3145228773257088,"score_spread":0.2361226603686068,"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."}}