{"id":"W2164833019","doi":"10.1007/978-3-642-16599-3_15","title":"Towards Web Services Tagging by Similarity Detection","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Similarity (geometry); Information retrieval; World Wide Web; Web service; 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":[0.002707527,0.001171722,0.001892209,0.006645641,0.001508553,0.004006149,0.002924095,0.002509923,0.003004444],"category_scores_gemma":[0.008078344,0.001180261,0.002054881,0.006233819,0.001257732,0.005618448,0.00512491,0.002186094,0.007182586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030392,"about_ca_system_score_gemma":0.001669389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003756681,"about_ca_topic_score_gemma":0.003417778,"domain_scores_codex":[0.9959265,0.000906742,0.0003246324,0.0008986858,0.00168166,0.0002618639],"domain_scores_gemma":[0.9949698,0.001405875,0.0002566808,0.001680408,0.001471407,0.000215874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005655973,0.0005697553,0.002731845,0.0005684281,0.0002027613,0.0005400607,0.0005761493,0.01446254,0.07845873,0.06295317,0.01795331,0.8204176],"study_design_scores_gemma":[0.00005788436,0.0001302937,0.001415555,0.000125627,0.000155982,0.001054553,0.0003799195,0.7188222,0.09923565,0.135408,0.04307289,0.0001414455],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005795205,0.0002271276,0.9885156,0.0001062381,0.0001018649,0.0001101047,0.000159368,0.003679066,0.001305618],"genre_scores_gemma":[0.07848856,0.0003894626,0.9125389,0.000215183,0.0001012893,0.0001216648,0.001620929,0.0008890359,0.005635003],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006645641,"threshold_uncertainty_score":0.01431894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00668578898758164,"score_gpt":0.2195850331504058,"score_spread":0.2128992441628241,"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."}}