{"id":"W1968729787","doi":"10.4018/jwsr.2010070102","title":"Analyzing Communities of Web Services Using Incentives","year":2010,"lang":"en","type":"article","venue":"International Journal of Web Services Research","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Reputation; Incentive; Web service; Quality (philosophy); Mechanism (biology); Software; World Wide Web; Computer security; Operating system","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":[0.005437952,0.0005064737,0.0008068855,0.002530331,0.001386016,0.002618226,0.001384504,0.002045797,0.002363599],"category_scores_gemma":[0.0268317,0.0004968003,0.0008304976,0.001491889,0.001788549,0.004833207,0.002862354,0.00102532,0.0002249144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002769644,"about_ca_system_score_gemma":0.001605973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004666865,"about_ca_topic_score_gemma":0.002524587,"domain_scores_codex":[0.9954219,0.00278795,0.0001661477,0.0004315908,0.0007759205,0.000416386],"domain_scores_gemma":[0.9798049,0.01464664,0.001990123,0.0009525946,0.001562615,0.001043327],"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":[0.0001505969,0.0001423831,0.006486002,0.0001485249,0.00006243136,0.0002474689,0.0006327457,0.3445193,0.001838045,0.6152692,0.0008103885,0.02969278],"study_design_scores_gemma":[0.00001982566,0.00003184012,0.0006029904,0.00001682165,0.00001299905,0.00003616129,0.0001311706,0.8859059,0.0003023457,0.1115448,0.001379961,0.00001518323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2356815,0.0006107505,0.7511067,0.001159759,0.00004430975,0.0002465176,0.00008419378,0.0001995764,0.01086664],"genre_scores_gemma":[0.9212072,0.0001836939,0.0760975,0.00005273525,0.00004328036,0.0001644069,0.00004281927,0.00003511033,0.002173163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005437952,"threshold_uncertainty_score":0.028759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02873493339302358,"score_gpt":0.3641618853884951,"score_spread":0.3354269519954716,"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."}}