{"id":"W2618359079","doi":"","title":"An Analysis Model for Performance Measurement of International Trade Fair Exhibitors","year":2004,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fair trade; Publication; Process (computing); Construct (python library); Set (abstract data type); Index (typography); Computer science; Qualitative analysis; Operations research; Business; International trade; Qualitative research; Advertising; Engineering; World Wide Web","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002196837,0.000159744,0.0004326524,0.0008089168,0.0003964235,0.0006255012,0.002079402,0.00006286451,0.001305624],"category_scores_gemma":[0.0001021099,0.0001527518,0.0002896811,0.0009538314,0.0001556466,0.002046594,0.0001781786,0.000111068,0.00000109878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003070861,"about_ca_system_score_gemma":0.000316351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002960257,"about_ca_topic_score_gemma":0.003008591,"domain_scores_codex":[0.997424,0.00009288896,0.0006406251,0.000305501,0.001259549,0.0002774073],"domain_scores_gemma":[0.9985864,0.00004496864,0.000573789,0.0002746327,0.0003431161,0.0001770703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003882647,0.00202498,0.4586889,0.0001559117,0.002212838,0.000004434979,0.01009873,0.4061671,0.01423992,0.01901397,0.006260477,0.08074448],"study_design_scores_gemma":[0.002142105,0.00007959521,0.8329624,0.0006025161,0.001458256,7.020138e-7,0.005565137,0.09952012,0.01135122,0.02378682,0.02145811,0.001073038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9262921,0.001342744,0.05716047,0.001882227,0.0006655699,0.0009047264,0.00009047285,0.00004235936,0.01161929],"genre_scores_gemma":[0.9951926,0.003532606,0.000878077,0.00007962774,0.00015351,0.00005289709,0.00001461476,0.00001242498,0.0000836074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3742735,"threshold_uncertainty_score":0.9996073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3230804710605721,"score_gpt":0.5477582340183977,"score_spread":0.2246777629578257,"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."}}