{"id":"W980161779","doi":"","title":"Business Decision Support Using Hybrid Expert System","year":2011,"lang":"pl","type":"article","venue":"Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu. Informatyka Ekonomiczna","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Expert system; Computer science; Decision support system; Business; Process management; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001225354,0.0006248725,0.0009443986,0.001339446,0.000433726,0.001756071,0.0009301034,0.001034716,0.006819096],"category_scores_gemma":[0.004209687,0.0004041481,0.0005111273,0.0007190881,0.0001579894,0.001235565,0.000954436,0.0006948499,0.001430291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004206119,"about_ca_system_score_gemma":0.0006355576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003482486,"about_ca_topic_score_gemma":0.003949671,"domain_scores_codex":[0.9992014,0.0002803706,0.00009016516,0.0001817871,0.0001877752,0.00005856794],"domain_scores_gemma":[0.9976438,0.001514708,0.00007943454,0.0001917511,0.000467447,0.0001029069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001207553,0.0007982739,0.00330684,0.0005090098,0.0003811856,0.0009407249,0.0004637208,0.1952446,0.02052319,0.002681826,0.007508263,0.7664348],"study_design_scores_gemma":[0.0001329616,0.0001834052,0.001273672,0.0000644121,0.000112966,0.0002104982,0.0001570785,0.9837,0.004576902,0.005168155,0.004375943,0.00004407339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1330339,0.000777396,0.8448166,0.000584577,0.0001496145,0.0003933161,0.0008081755,0.005914986,0.01352142],"genre_scores_gemma":[0.6868026,0.0003278565,0.306633,0.0001961452,0.00006275302,0.0002311068,0.0007244736,0.00008072054,0.004941405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006819096,"threshold_uncertainty_score":0.02281219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0958874680054196,"score_gpt":0.2767555037429456,"score_spread":0.180868035737526,"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."}}