{"id":"W2347675945","doi":"","title":"An Inquiry Efficiency Enhancement Method Based on MIDAS in Enterprise Application","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Intranet; Enterprise management; Knowledge management; Process management; World Wide Web; The Internet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00301708,0.0003904851,0.0006951208,0.001780742,0.0009838387,0.002028728,0.001466699,0.0005704582,0.002117827],"category_scores_gemma":[0.004878491,0.0003879416,0.0006505886,0.001177623,0.0005057105,0.003343236,0.001391684,0.0009960543,0.0006941193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006279701,"about_ca_system_score_gemma":0.000973759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007688415,"about_ca_topic_score_gemma":0.0007572536,"domain_scores_codex":[0.9972571,0.0008606084,0.000270905,0.0005849246,0.0008840765,0.0001424347],"domain_scores_gemma":[0.9972268,0.000896979,0.0001892324,0.0006266083,0.0009091362,0.0001512207],"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":[0.0008382039,0.0006343712,0.00654558,0.0004767888,0.00008834169,0.0002854556,0.001859532,0.002871672,0.08362918,0.04960046,0.005688219,0.8474821],"study_design_scores_gemma":[0.000383069,0.001344395,0.01498294,0.0001909408,0.0005782689,0.00266637,0.001510181,0.4816983,0.2794588,0.04098996,0.1757609,0.0004358318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04035965,0.0005092705,0.9446406,0.0002959145,0.00008298238,0.0003351204,0.00007472237,0.006483179,0.007218557],"genre_scores_gemma":[0.3958006,0.0003064634,0.5951942,0.0002049345,0.00008544744,0.0003943389,0.0001706591,0.0003091372,0.007534248],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00301708,"threshold_uncertainty_score":0.01595604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248512154696868,"score_gpt":0.3495670273134827,"score_spread":0.337081905766514,"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."}}