{"id":"W7135540780","doi":"","title":"Export of products of company EXPRES MENU Ltd. overseas","year":2010,"lang":"cs","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Transport and Logistics Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislature; Product (mathematics); Exportation; Czech; Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002397255,0.000808463,0.001222354,0.0008076228,0.0002156219,0.0002628195,0.0006801368,0.00101311,0.00001215382],"category_scores_gemma":[0.000511779,0.0008822855,0.0005612109,0.0009890092,0.000501984,0.001152878,0.0000488892,0.001124203,0.000002084673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001583547,"about_ca_system_score_gemma":0.0009857136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002695831,"about_ca_topic_score_gemma":0.000005284373,"domain_scores_codex":[0.9936583,0.00004930406,0.002934312,0.0008109732,0.002143956,0.0004031784],"domain_scores_gemma":[0.9894847,0.0002920568,0.002061272,0.0008713369,0.007116638,0.0001740058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007684974,0.001468742,0.02813471,0.008213026,0.001415977,0.0001540411,0.005570556,0.001603937,0.8915011,0.05929001,0.001482282,0.0003971317],"study_design_scores_gemma":[0.00100121,0.0004405399,0.1511922,0.003905737,0.0004429918,0.0001914321,0.0004452044,0.0003644384,0.8243116,0.001069372,0.01532694,0.001308334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8062173,0.002980322,0.0001543469,0.00001454728,0.006876403,0.0008439594,0.001500276,0.0001294134,0.1812834],"genre_scores_gemma":[0.9808279,0.00003271515,0.001045344,0.000005517993,0.000843686,0.00004381954,0.005035047,0.0001219181,0.01204411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1746106,"threshold_uncertainty_score":0.9993628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021525781779309,"score_gpt":0.2325819413875141,"score_spread":0.2223666835697211,"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."}}