{"id":"W2972471441","doi":"","title":"Avaliação dos principais métodos analíticos de cálculo de capacidade de tráfego utilizados em ferrovia nacional e internacional","year":2013,"lang":"pt","type":"article","venue":"Americanae (AECID Library)","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics; Humanities; Philosophy","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":[0.001794839,0.00111995,0.0007299992,0.003734357,0.0006277781,0.002448802,0.0009902748,0.0008753489,0.003715963],"category_scores_gemma":[0.004800832,0.0005883849,0.00135013,0.004967734,0.0004211295,0.001332662,0.0006491164,0.0005530574,0.001159533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560088,"about_ca_system_score_gemma":0.001386838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05221449,"about_ca_topic_score_gemma":0.06033209,"domain_scores_codex":[0.9990889,0.0001723679,0.00006246957,0.0002424103,0.0003282459,0.0001055884],"domain_scores_gemma":[0.9968889,0.001460086,0.0003855097,0.0001830145,0.001008901,0.00007347267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004334812,0.0001481793,0.7901978,0.001151614,0.0004809226,0.0004354783,0.002624643,0.07911541,0.01673013,0.004056986,0.002348984,0.1022764],"study_design_scores_gemma":[0.00003566916,0.0004347806,0.6820964,0.0004295395,0.0004894905,0.0007452061,0.008965914,0.2560151,0.02499864,0.00609717,0.019479,0.000213103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9198853,0.001600165,0.05723634,0.0002963513,0.00003980265,0.0001759462,0.005481281,0.0009990741,0.01428575],"genre_scores_gemma":[0.968257,0.0008463811,0.0230962,0.00003524974,0.000008888932,0.0001407492,0.002468084,0.0001335622,0.005013808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05221449,"threshold_uncertainty_score":0.1038212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550672750083202,"score_gpt":0.2173904530219334,"score_spread":0.2018837255211013,"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."}}