{"id":"W2606872609","doi":"","title":"Capacity at Railway Stations","year":2011,"lang":"en","type":"article","venue":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Geography; Transport engineering; Environmental science; Engineering","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":[0.001242693,0.001467571,0.0005541761,0.005195196,0.001341808,0.003470344,0.002265228,0.001207704,0.0235337],"category_scores_gemma":[0.005480158,0.0008065504,0.001706666,0.005814078,0.001103729,0.003771359,0.002628193,0.00102902,0.00484532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004930868,"about_ca_system_score_gemma":0.001937168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03645982,"about_ca_topic_score_gemma":0.02417063,"domain_scores_codex":[0.9956756,0.0007099534,0.0001823082,0.0007281687,0.002142747,0.000561175],"domain_scores_gemma":[0.9967889,0.0007893516,0.0004267614,0.0004661621,0.001354907,0.000174068],"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":[0.0004414084,0.0001284047,0.0480223,0.001669059,0.0003409767,0.000831703,0.002298656,0.5360912,0.01702619,0.1340278,0.0311069,0.2280154],"study_design_scores_gemma":[0.00008446705,0.0007245339,0.08647864,0.001580678,0.0004405166,0.001174803,0.006122232,0.3192156,0.04566002,0.1073294,0.43052,0.0006691545],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2173467,0.003356247,0.3721107,0.001159518,0.0007133228,0.0006371324,0.02567223,0.00285335,0.3761508],"genre_scores_gemma":[0.8932124,0.001191632,0.05023059,0.0002007728,0.0001318997,0.0003757893,0.00879657,0.0007455915,0.04511476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03645982,"threshold_uncertainty_score":0.07872808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114890495335972,"score_gpt":0.1716110813310369,"score_spread":0.1504621763776772,"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."}}