{"id":"W4320031355","doi":"10.2478/ttt-2022-0004","title":"COVID Machine and Implementation of Anti-Pandemic Measures in Railway Passenger Transport in the Slovak Republic","year":2022,"lang":"en","type":"article","venue":"Transport technic and technology","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Quarter (Canadian coin); Public transport; Passenger transport; Slovak; Business; Transport engineering; 2019-20 coronavirus outbreak; Engineering; Geography; Czech","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":[0.001741916,0.0001690761,0.0002145101,0.001451993,0.0004999192,0.001464941,0.000290886,0.000332793,0.002743207],"category_scores_gemma":[0.002896847,0.0001671606,0.0003079227,0.001176256,0.0007474365,0.0004079605,0.001305362,0.0005366356,0.0002070795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00347829,"about_ca_system_score_gemma":0.003311275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0487914,"about_ca_topic_score_gemma":0.03471733,"domain_scores_codex":[0.9982532,0.0007279111,0.0002542937,0.0001740856,0.0002998707,0.000290679],"domain_scores_gemma":[0.9985127,0.0003772539,0.0004655453,0.00009056478,0.0004529694,0.0001010208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006677535,0.000297827,0.8726921,0.000679345,0.0001448449,0.0003990306,0.002437926,0.01988167,0.002771368,0.007411223,0.004434092,0.08818291],"study_design_scores_gemma":[0.00001658237,0.0005108411,0.9728157,0.0001355754,0.00003484894,0.00009887158,0.004939585,0.007201651,0.001620569,0.000597665,0.0119993,0.00002885213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752274,0.0004405865,0.002717161,0.0006132758,0.00007968352,0.0001628483,0.002184897,0.00009135813,0.0184827],"genre_scores_gemma":[0.9961756,0.0001026956,0.001534688,0.0000363152,0.000005356707,0.00005714791,0.0004762099,0.000005221094,0.001606683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0487914,"threshold_uncertainty_score":0.09701484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155981393433739,"score_gpt":0.2997879321467105,"score_spread":0.2782281182123731,"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."}}