{"id":"W2111895662","doi":"10.1109/enabl.2001.953427","title":"Intelligent agent in electronic commerce-XMLFinder","year":2002,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Intelligent agent; XML; Key (lock); Recommender system; The Internet; Agent architecture; Architecture; Case-based reasoning; Term (time); World Wide Web; E-commerce; Computer security; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001283616,0.00007982634,0.0001014488,0.00008303962,0.00002811009,0.00005280125,0.0005816976,0.00003593013,0.0003318498],"category_scores_gemma":[0.00001750403,0.00006321204,0.00003518044,0.0002293252,0.00001949086,0.0001334176,0.0001358176,0.0001112594,0.0005022188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006123155,"about_ca_system_score_gemma":0.00001171648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009038993,"about_ca_topic_score_gemma":0.0002815412,"domain_scores_codex":[0.9991414,0.00003242476,0.0001485269,0.0002093553,0.0001226924,0.0003456236],"domain_scores_gemma":[0.9995241,0.00005738861,0.00001975278,0.0003513516,0.00001232563,0.00003509995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000240021,0.0003344201,0.01599953,0.000008094892,0.00001925865,0.00005237385,0.002301967,0.0001463146,0.0001108607,0.6566959,0.02388351,0.3004453],"study_design_scores_gemma":[0.001311477,0.0005030692,0.1059061,0.00004300942,0.000009274811,0.0001120764,0.000805762,0.5886179,0.008277954,0.05114202,0.2421703,0.001101038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1275308,0.002470051,0.7573988,0.0114568,0.0004832132,0.0002409071,1.159467e-7,0.0004061982,0.1000132],"genre_scores_gemma":[0.9928207,0.0002372436,0.003391061,0.001514303,0.00001334689,0.00000618124,1.466778e-7,0.000002910295,0.002014066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.86529,"threshold_uncertainty_score":0.6455174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04642892065454889,"score_gpt":0.2587757660812934,"score_spread":0.2123468454267445,"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."}}