{"id":"W4232891060","doi":"10.4018/978-1-4666-1942-5.ch015","title":"Analyzing Communities of Web Services Using Incentives","year":2012,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Reputation; Incentive; Computer science; 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":[0.004237446,0.0005130343,0.000740614,0.002283895,0.001260061,0.002830358,0.001297402,0.001992503,0.002627825],"category_scores_gemma":[0.01772834,0.0004433535,0.0007840699,0.001624904,0.001659088,0.004620457,0.002652918,0.001130657,0.0002718675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002889686,"about_ca_system_score_gemma":0.001525815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004252834,"about_ca_topic_score_gemma":0.002556997,"domain_scores_codex":[0.9967479,0.001995958,0.0001048303,0.0003199304,0.0005667267,0.0002646669],"domain_scores_gemma":[0.9877248,0.00925678,0.001050042,0.000545198,0.0008618782,0.0005611646],"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":[0.00009536659,0.000112401,0.003743881,0.0001544573,0.00004230479,0.0001751636,0.0004859083,0.2508176,0.001430324,0.7070667,0.0009743403,0.03490147],"study_design_scores_gemma":[0.00001413492,0.00002507426,0.0005141287,0.00002404642,0.00001101923,0.00003543546,0.000119722,0.8300515,0.0002921044,0.1669188,0.001979659,0.00001422713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1685854,0.001182293,0.8105113,0.00138485,0.00005952796,0.0002481297,0.00009467723,0.0002041797,0.0177296],"genre_scores_gemma":[0.8892863,0.0004155563,0.1058896,0.00007515727,0.00006503507,0.0002163115,0.00006364879,0.00005395666,0.003934486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004252834,"threshold_uncertainty_score":0.02241004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983566095123203,"score_gpt":0.2470415829291482,"score_spread":0.2272059219779162,"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."}}