{"id":"W2142989018","doi":"10.1109/icws.2008.120","title":"Adaptive Quality Recommendation Mechanism for Software Service Provisioning","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Dynamism; Cluster analysis; Granularity; Provisioning; Service provider; Feature (linguistics); Service (business); Quality of service; Data mining; Software; Index (typography); Quality (philosophy); Computer network; World Wide Web; 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":[0.0003602585,0.000103566,0.0001231259,0.00006748963,0.0003591847,0.00004862726,0.0005297101,0.00004756689,0.00001901589],"category_scores_gemma":[0.0002399214,0.00009539888,0.00003848269,0.0003239314,0.00001383831,0.0007345489,0.0003785708,0.0001090686,0.00003924297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009408707,"about_ca_system_score_gemma":0.00009434929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001073726,"about_ca_topic_score_gemma":0.00002852354,"domain_scores_codex":[0.9987751,0.00006799812,0.0002061176,0.0004058713,0.0002472146,0.000297734],"domain_scores_gemma":[0.9986391,0.0003353587,0.00007303286,0.000350519,0.000515561,0.00008639364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008411024,0.0001743087,0.00006534206,0.0001074998,0.00004156823,0.00001100878,0.003053545,0.001260034,0.001929282,0.2116304,0.0009128195,0.7807301],"study_design_scores_gemma":[0.0007981697,0.00026289,0.0003677043,0.0000195408,0.000001483264,0.00003387669,0.0001808452,0.9358723,0.01164697,0.04936115,0.001134826,0.0003202676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001192085,0.000002836834,0.99545,0.002079064,0.0001394875,0.0003882044,0.000005091612,0.0003661282,0.0003770728],"genre_scores_gemma":[0.03767916,0.000004192034,0.9604933,0.0008153607,0.00004366256,0.0001049631,0.000008678237,0.00001169057,0.0008389719],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9346122,"threshold_uncertainty_score":0.3890253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1274456617571632,"score_gpt":0.3667250012835386,"score_spread":0.2392793395263754,"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."}}