{"id":"W2056050883","doi":"10.3141/1773-08","title":"Advance Yield Markings: Reducing Motor Vehicle—Pedestrian Conflicts at Multilane Crosswalks with Uncontrolled Approach","year":2001,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Saint Vincent University","funders":"U.S. Department of Transportation","keywords":"Schema crosswalk; Pedestrian; Transport engineering; Pedestrian crossing; Sign (mathematics); Headlamp; Engineering; Computer science; Mathematics","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002764806,0.0003757343,0.0006438344,0.0007221694,0.0008019512,0.0001392231,0.0009661232,0.0002666387,0.0002557365],"category_scores_gemma":[0.0001213079,0.0002667815,0.0003447666,0.001716781,0.0005730939,0.0006084511,0.000007122877,0.002528209,0.00002191683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004395223,"about_ca_system_score_gemma":0.0002939038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002772077,"about_ca_topic_score_gemma":0.0176415,"domain_scores_codex":[0.9934235,0.0004621625,0.001346195,0.0004701693,0.003084013,0.001213956],"domain_scores_gemma":[0.9959694,0.0009581491,0.0003052025,0.0004920431,0.001725836,0.0005494091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.03111639,0.0009925027,0.3757398,0.001748011,0.001440658,0.001715764,0.01356586,0.4766273,0.04210925,0.0005539256,0.008964302,0.04542626],"study_design_scores_gemma":[0.006579147,0.0008761784,0.9390469,0.0007347774,0.00009761603,0.00001167641,0.001808557,0.007970582,0.001517606,0.0001046143,0.0407739,0.0004784282],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918029,0.000743068,0.003528686,0.0008198096,0.00036934,0.001312038,0.00006524623,0.0001216155,0.001237249],"genre_scores_gemma":[0.9923012,0.002609801,0.002525247,0.00002774894,0.0002701708,0.00009924329,0.00002266573,0.000110504,0.00203337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5633071,"threshold_uncertainty_score":0.9999784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05085212413535759,"score_gpt":0.3099581562732004,"score_spread":0.2591060321378428,"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."}}