{"id":"W1521774025","doi":"10.1109/eee.2005.95","title":"On Self-Coordinating Web Services Using Similarity and Neural Networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Tuple space; Tuple; Web service; Similarity (geometry); Data Web; World Wide Web; Embodied cognition; Control (management); Information retrieval; Artificial intelligence; Image (mathematics); Mathematics","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":[0.001739033,0.000483915,0.0009260305,0.001335805,0.0006143715,0.001505414,0.001265913,0.001008228,0.001540772],"category_scores_gemma":[0.006235276,0.0003586534,0.0007107608,0.001464486,0.001277173,0.003821614,0.001640338,0.0007937687,0.0002493236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158021,"about_ca_system_score_gemma":0.0008064873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007906263,"about_ca_topic_score_gemma":0.005021486,"domain_scores_codex":[0.9991782,0.0002736971,0.00006833728,0.0001851855,0.0002218886,0.0000725949],"domain_scores_gemma":[0.9977341,0.001298357,0.0002398692,0.000264507,0.0003624257,0.000100791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001354914,0.0001262037,0.001233834,0.00008739429,0.00009402508,0.00008890746,0.0002444874,0.7225192,0.001657107,0.1156211,0.00112653,0.1570658],"study_design_scores_gemma":[0.000005960437,0.00001291784,0.00007806278,0.000004613026,0.000006264639,0.00001123528,0.00001496135,0.9634516,0.00035511,0.03568712,0.0003668677,0.000005310016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03394121,0.0004940738,0.9605191,0.0004433783,0.00003874021,0.00005260926,0.00003304707,0.0003610071,0.004116816],"genre_scores_gemma":[0.7686038,0.0006701819,0.2259616,0.0002023146,0.00009988275,0.0001134696,0.0001277979,0.0001050756,0.004115821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007906263,"threshold_uncertainty_score":0.01572049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006836888863272752,"score_gpt":0.2258292742548291,"score_spread":0.2189923853915564,"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."}}