{"id":"W2515687868","doi":"10.20381/ruor-4682","title":"Seniority as a Metric in Reputation Systems for E-Commerce","year":2011,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Access Control and Trust","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reputation; Seniority; Reputation system; Credibility; Computer science; Notation; Engineering; Mathematics; Political science; Arithmetic; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000438533,0.0001617001,0.000321496,0.0000661174,0.0002594428,0.00004374978,0.0002323739,0.00008050707,0.00002160202],"category_scores_gemma":[0.00002727752,0.0001660757,0.00003593989,0.0001657102,0.00003818881,0.000378534,0.00002054351,0.0001428625,2.238124e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001603942,"about_ca_system_score_gemma":0.003128662,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2523111,"about_ca_topic_score_gemma":0.6617226,"domain_scores_codex":[0.9977502,0.0001460104,0.0003283878,0.0002458798,0.001257035,0.0002724615],"domain_scores_gemma":[0.9989967,0.0004182402,0.0003088917,0.0001093133,0.00000172114,0.0001650835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001387064,0.00007442731,0.02271238,0.0011173,0.0001687692,0.00006244668,0.004150743,0.00004139019,0.0001980942,0.915841,0.0007854601,0.05346088],"study_design_scores_gemma":[0.002569275,0.0002764195,0.4940191,0.001101096,0.0002828311,0.000003114733,0.2166159,0.002380593,0.004131839,0.0216312,0.2552851,0.001703489],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08289991,0.001658916,0.00003165033,0.0006252435,0.001002355,0.0007899841,0.0001963278,0.00001240525,0.9127832],"genre_scores_gemma":[0.9461141,0.0004810214,0.00008331244,0.00016455,0.0001065885,0.00005549633,0.00006640494,0.00001746089,0.0529111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8942099,"threshold_uncertainty_score":0.7526678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006906742692943451,"score_gpt":0.2030843497352087,"score_spread":0.1961776070422653,"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."}}