{"id":"W7018620925","doi":"","title":"Economic efficiency for travelling students in Central Europe &amp; Canada","year":2018,"lang":"en","type":"dissertation","venue":"Electronic scientific archive of UrFU (Ural Federal University)","topic":"Hospitality and Tourism Education","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economic efficiency; Government (linguistics); Productivity; Economic indicator; Work (physics); Data envelopment analysis","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":[0.0007981543,0.0002788289,0.0005992554,0.002205539,0.003537673,0.004140056,0.001254089,0.0005129356,0.008263962],"category_scores_gemma":[0.002031945,0.0001770555,0.0004476112,0.007229741,0.000833114,0.0005708018,0.001214445,0.0009291228,0.0008431664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04409183,"about_ca_system_score_gemma":0.07275762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936196,"about_ca_topic_score_gemma":0.9969194,"domain_scores_codex":[0.9987992,0.00007542567,0.00002842575,0.00008501422,0.0002267571,0.0007851249],"domain_scores_gemma":[0.996707,0.0001428246,0.0001652031,0.00005034022,0.001062655,0.001872048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008243298,0.0005792112,0.799601,0.0002025196,0.0002308972,0.0004810145,0.009164379,0.007345482,0.0002971971,0.02422591,0.07556235,0.0814857],"study_design_scores_gemma":[0.00001694549,0.00003799085,0.9686496,0.0000717684,0.00003209143,0.00003818635,0.01232512,0.002126369,0.000145897,0.0004118187,0.01612003,0.00002427043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964452,0.00120159,0.0001249713,0.001360597,0.00003819517,0.00003359342,0.006671592,0.0000262452,0.02609116],"genre_scores_gemma":[0.9645239,0.0006071951,0.0001234659,0.00007835138,0.000009540484,0.00001325657,0.002221165,0.00001874074,0.0324043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04409183,"threshold_uncertainty_score":0.3199101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007901998383654922,"score_gpt":0.2138585490376489,"score_spread":0.2059565506539939,"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."}}