{"id":"W7062621376","doi":"","title":"Vliv cen komodit na vybrané měnové kurzy","year":2010,"lang":"en","type":"dissertation","venue":"Digital Repository (National Repository of Grey Literature)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commodity; Currency; Commodity swap; Exchange rate; Commodity market; Foreign exchange market","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":[0.001165092,0.0005583328,0.0009113016,0.001891533,0.001859976,0.006970206,0.0005595888,0.00112165,0.04373759],"category_scores_gemma":[0.002519355,0.0003425002,0.0005684153,0.001994496,0.002114906,0.003299694,0.002383948,0.004052802,0.01759755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002413096,"about_ca_system_score_gemma":0.002726735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001245857,"about_ca_topic_score_gemma":0.001175027,"domain_scores_codex":[0.9991186,0.0002119146,0.00006676307,0.0001996722,0.0002896294,0.0001133621],"domain_scores_gemma":[0.9992219,0.0002072545,0.00009001254,0.0001083238,0.0002233371,0.000149074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002058781,0.0001498047,0.002079335,0.001214886,0.00003862103,0.0004675666,0.007344129,0.001532933,0.003329873,0.6038095,0.1355243,0.2443032],"study_design_scores_gemma":[0.00001335534,0.00008407304,0.002494592,0.0005614455,0.00001340052,0.0004706731,0.001189799,0.0004109175,0.001283314,0.03391921,0.9595384,0.00002078996],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03309096,0.07795865,0.03062298,0.0222261,0.01067903,0.0002538959,0.002416252,0.0007459975,0.822006],"genre_scores_gemma":[0.3415723,0.06169815,0.01231738,0.002187622,0.004243767,0.0003222395,0.001950622,0.0008352369,0.5748726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04373759,"threshold_uncertainty_score":0.1463168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004380310811948754,"score_gpt":0.2134748843010703,"score_spread":0.2090945734891216,"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."}}