{"id":"W2140172400","doi":"10.1007/978-3-642-11355-0_9","title":"Declarative and Numerical Analysis of Edge Creation Process in Trust-Based Social Networks","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Access Control and Trust","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Homophily; Enhanced Data Rates for GSM Evolution; Process (computing); Population; Social network (sociolinguistics); Architecture; Quality (philosophy); Data science; Social network analysis; Theoretical computer science; Distributed computing; Artificial intelligence; World Wide Web; Social media; Programming language; Epistemology","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":[0.0007794737,0.0002085887,0.0005591632,0.0007553849,0.0003526487,0.0001479984,0.0005622719,0.0004407276,0.00005353681],"category_scores_gemma":[0.0001482898,0.0001872591,0.0001001485,0.001382878,0.00172755,0.0002238165,0.00008187732,0.0005954243,5.664054e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001096249,"about_ca_system_score_gemma":0.0005107135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004182704,"about_ca_topic_score_gemma":0.004948799,"domain_scores_codex":[0.9981275,0.00006426474,0.0003324604,0.0005687697,0.000581301,0.0003256893],"domain_scores_gemma":[0.9987854,0.0004578939,0.0002867686,0.0001574223,0.0002315947,0.00008088705],"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":[0.0001163525,0.0001271808,0.04303623,0.00004137178,0.0001547848,0.00002631579,0.02590615,0.145697,0.00003173359,0.02275625,0.00000215005,0.7621045],"study_design_scores_gemma":[0.0005964286,0.00008440825,0.03664894,0.00009505855,0.0002382017,4.525654e-7,0.00001191193,0.9215102,0.00008986335,0.03988586,0.000287813,0.0005508101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006385707,0.0001569524,0.9890808,0.0005686564,0.0002403641,0.000284514,0.000006271683,0.00002156205,0.003255137],"genre_scores_gemma":[0.9961361,0.000009775691,0.003243038,0.0002477934,0.0003107783,0.000008140053,0.000008074659,0.000008421483,0.00002783392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9897504,"threshold_uncertainty_score":0.7636205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464481809580049,"score_gpt":0.3016751949283282,"score_spread":0.2870303768325277,"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."}}