{"id":"W3043143134","doi":"10.36477/2522-1221-2020-23-22","title":"Features of auto-commodity expertise of vehicles imported from the USA and Canada","year":2020,"lang":"en","type":"article","venue":"Herald of Lviv University of Trade and Economics Technical sciences","topic":"Enterprise Management and Information Systems","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commodity; Identification (biology); Value (mathematics); Business; Commodity market; Commerce; International trade; Industrial organization; Computer science; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.0001233432,0.00004835319,0.0001636626,0.00002709365,0.00007424712,0.00001741578,0.0002466579,0.00002406682,0.00002059275],"category_scores_gemma":[0.00001138189,0.00003910904,0.00003062538,0.00007665482,0.0002519038,0.0004125908,0.0001291476,0.00003328102,1.197743e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006874798,"about_ca_system_score_gemma":0.00002210745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2632318,"about_ca_topic_score_gemma":0.1294198,"domain_scores_codex":[0.9996012,0.000004509675,0.0001781704,0.0000872137,0.00007142549,0.00005742302],"domain_scores_gemma":[0.9996026,0.00004066644,0.0002720136,0.00006105797,0.00001249274,0.00001123452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001939723,0.00009818585,0.9196391,0.0004798138,0.0001288128,0.000001884973,0.001639086,0.0003094017,0.004178722,0.0282796,0.03140771,0.01364373],"study_design_scores_gemma":[0.0005834561,0.00004744078,0.9626749,0.00006410412,0.00004670317,3.039176e-7,0.004020664,0.007058926,0.0007026399,0.0003610396,0.02429992,0.0001398934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926818,0.00006510119,0.00002729244,0.004750778,0.00002048253,0.00007072865,0.00001466205,0.00000526987,0.002363861],"genre_scores_gemma":[0.9994165,0.0001048754,0.0001022848,0.0003522713,0.00001632757,5.791782e-8,0.000002373347,9.757756e-7,0.000004380583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.133812,"threshold_uncertainty_score":0.886466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02291998870936829,"score_gpt":0.1809742330285132,"score_spread":0.1580542443191449,"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."}}