{"id":"W2898050127","doi":"","title":"Factors Affecting Road Capacity Under non-Ideal Conditions in Egypt","year":2018,"lang":"en","type":"article","venue":"Nova Journal of Engineering and Applied Sciences","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Transport engineering; Highway Capacity Manual; Synchro; Variable (mathematics); Reduction (mathematics); Calibration; Carrying capacity; Traffic congestion; Engineering; Simulation; Computer science; Statistics; Mathematics; Level of service","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005194888,0.0003545915,0.0002677775,0.000763013,0.0004846479,0.001103577,0.0004642327,0.0004505752,0.001769051],"category_scores_gemma":[0.001693031,0.0001869333,0.0003976598,0.0009112401,0.0005676833,0.0009397209,0.0005242267,0.0003054304,0.0001827992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00211874,"about_ca_system_score_gemma":0.001139663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03653719,"about_ca_topic_score_gemma":0.03106062,"domain_scores_codex":[0.9994155,0.0001298871,0.00003086828,0.00007601062,0.0001681908,0.0001794879],"domain_scores_gemma":[0.9990659,0.0003220334,0.0001735552,0.0000640685,0.0003153875,0.00005904339],"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":[0.0002583116,0.0002760659,0.2475936,0.0002248492,0.0001166551,0.002446793,0.0009156421,0.7180666,0.006701646,0.003562829,0.001507013,0.01832994],"study_design_scores_gemma":[0.00004117507,0.0004588649,0.3966305,0.00006324964,0.0001553892,0.0006022814,0.008558631,0.5726841,0.01160251,0.003522566,0.005535007,0.0001457155],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954947,0.00005586434,0.001497909,0.00005126928,0.00000390791,0.00002311963,0.0001567371,0.00003323257,0.002683196],"genre_scores_gemma":[0.9993414,0.00003813815,0.0002370066,0.000002702447,7.31991e-7,0.000005852068,0.00009019947,0.000003986036,0.0002799703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03653719,"threshold_uncertainty_score":0.07264906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04898184739924424,"score_gpt":0.3032983631326488,"score_spread":0.2543165157334046,"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."}}