{"id":"W2274602986","doi":"","title":"Agent-based simulation of twitter for building effective recommender system","year":2014,"lang":"en","type":"article","venue":"Annual Simulation Symposium","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Scalability; Recommender system; Information retrieval; Social media; Process (computing); World Wide Web; Data mining; Database","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":[0.0006693128,0.0001909342,0.0002756222,0.0002787277,0.000128113,0.00007213315,0.0005435486,0.0001454452,0.000001278179],"category_scores_gemma":[0.0001957841,0.0001866355,0.0001080861,0.0004957287,0.00002544225,0.000417469,0.0001609704,0.0000836479,0.00001502921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001433676,"about_ca_system_score_gemma":0.00001864977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009648629,"about_ca_topic_score_gemma":0.000001193523,"domain_scores_codex":[0.9983914,0.0001410251,0.000398668,0.000458258,0.000302866,0.0003077593],"domain_scores_gemma":[0.996987,0.001650994,0.0002385559,0.0005798806,0.000474325,0.00006922887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003436788,0.00002663725,0.0004544715,0.00005771821,0.0000177864,2.76016e-7,0.0003894194,0.9820172,0.001447744,0.003227235,0.0002967885,0.01203039],"study_design_scores_gemma":[0.0006479436,0.0002815875,0.0009307026,0.00007110891,0.00001491943,3.544112e-7,0.00004090659,0.9811078,0.006835976,0.0004942717,0.009367795,0.0002065984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04410126,0.000007875897,0.9525996,0.00113837,0.0004620469,0.000916741,0.00001146884,0.000543524,0.0002190893],"genre_scores_gemma":[0.9615823,1.048147e-7,0.03768402,0.0004508888,0.0001185853,0.00009595361,0.000009935462,0.00001972021,0.00003846548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9174811,"threshold_uncertainty_score":0.7610776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808740476739508,"score_gpt":0.2966584854150112,"score_spread":0.2785710806476161,"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."}}