{"id":"W2977305868","doi":"","title":"Modelowanie symulacyjne podmiejskiej linii kolejowej","year":2017,"lang":"pl","type":"article","venue":"Prace Naukowe Politechniki Warszawskiej. Transport","topic":"transportation and logistics systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Computer science","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":[0.0009610183,0.001076614,0.001047065,0.001083341,0.0007855484,0.005301937,0.001135563,0.0009882466,0.0218318],"category_scores_gemma":[0.003401848,0.0005578998,0.001354177,0.001533023,0.001104288,0.005008506,0.002382866,0.002224295,0.002452753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696833,"about_ca_system_score_gemma":0.003015989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01445087,"about_ca_topic_score_gemma":0.01091964,"domain_scores_codex":[0.9991871,0.0002866252,0.00005102286,0.000207782,0.0001525969,0.000115028],"domain_scores_gemma":[0.9992827,0.000366536,0.00007284794,0.00009155198,0.0001325211,0.00005394633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000199945,0.0002817907,0.00883312,0.000524174,0.0002462245,0.0005439429,0.001695193,0.2379897,0.002543727,0.6808109,0.009660335,0.05667095],"study_design_scores_gemma":[0.0001101165,0.0001749379,0.006084756,0.0002594016,0.0002090339,0.0003290351,0.001917548,0.3946334,0.001510977,0.5366991,0.05797195,0.00009980349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1881411,0.004803095,0.6712297,0.005096944,0.0007601318,0.0003676276,0.004175053,0.0007772481,0.1246491],"genre_scores_gemma":[0.8708552,0.004347711,0.07849406,0.0002300405,0.0001977074,0.0006070973,0.002639334,0.0002845645,0.04234438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0218318,"threshold_uncertainty_score":0.0730347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06845440198282088,"score_gpt":0.3843262326203103,"score_spread":0.3158718306374895,"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."}}