{"id":"W4415586803","doi":"10.21083/crrf.v36i1.8099","title":"Closing the Gap: How 2+1 Roads can Save Time, Lives, and Money","year":2025,"lang":"","type":"article","venue":"Proceedings of the Canadian Rural Revitalization Foundation","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SAFER; Work (physics); Closing (real estate); Rural area; Highway system; Traffic flow (computer networking)","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":[0.003371488,0.0007561507,0.0004011878,0.0006280665,0.007208726,0.007275341,0.001614338,0.004390798,0.0362154],"category_scores_gemma":[0.005087939,0.0002532553,0.0006543776,0.0010413,0.004103018,0.008574769,0.004680847,0.002839507,0.006955748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01024321,"about_ca_system_score_gemma":0.02851829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3147,"about_ca_topic_score_gemma":0.5606946,"domain_scores_codex":[0.997604,0.00054568,0.00004401489,0.0001825345,0.000740199,0.0008836632],"domain_scores_gemma":[0.9981304,0.0003184658,0.00007210383,0.0001142531,0.0006770528,0.0006877407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008848657,0.00009603093,0.002101401,0.0005145975,0.00002493666,0.0004032671,0.005488108,0.0007710175,0.0006061383,0.1694,0.6204755,0.2000306],"study_design_scores_gemma":[0.000009022672,0.00004710324,0.001595086,0.0003246053,0.00001181664,0.00009414985,0.005317139,0.0002046813,0.0001607049,0.01445381,0.9777581,0.00002374289],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02454764,0.02213757,0.008772529,0.4904328,0.01031085,0.0001563242,0.0009901871,0.0008424816,0.4418097],"genre_scores_gemma":[0.4137797,0.05264578,0.02838434,0.09787468,0.002188482,0.0002934639,0.001655976,0.0009425473,0.4022351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6853,"threshold_uncertainty_score":0.6257365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008839333302618718,"score_gpt":0.2115522260373284,"score_spread":0.2027128927347097,"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."}}