{"id":"W2898095698","doi":"10.1109/asonam.2018.8508262","title":"Social Network Mining for Recommendation of Friends Based on Music Interests","year":2018,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Social media; Internet privacy; Computer science; Social media optimization; World Wide Web; Social network (sociolinguistics); Public relations; Advertising; Business; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004041955,0.00007424143,0.0001227298,0.00006598964,0.0001097175,0.00004418205,0.00028616,0.00004875035,0.00006185049],"category_scores_gemma":[0.00001066316,0.00006348603,0.00005764282,0.0001690126,0.00002002532,0.0001312504,0.00006438296,0.00003084861,0.000002763293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001668007,"about_ca_system_score_gemma":0.00002061373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002575163,"about_ca_topic_score_gemma":0.00007950866,"domain_scores_codex":[0.999337,0.00004508451,0.0002092187,0.0001902251,0.00006324594,0.0001552005],"domain_scores_gemma":[0.9994711,0.0001136413,0.0001215834,0.0001820858,0.0000885981,0.00002293652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003144889,0.00008481479,0.0009289809,0.00002862255,0.00002191331,2.012743e-7,0.0010845,0.000005834058,0.000105195,0.0845823,0.6213561,0.2917701],"study_design_scores_gemma":[0.001098522,0.002453288,0.002352913,0.0001575888,0.0000113102,0.000002107691,0.0001337292,0.7900987,0.01177322,0.01611782,0.1753619,0.0004388665],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001095918,9.055878e-7,0.9666781,0.001237571,0.0004957323,0.0001532911,0.000001244505,0.0001362662,0.03020091],"genre_scores_gemma":[0.8399539,8.155467e-8,0.1588937,0.0006680937,0.0003628694,0.00002628107,0.000004934529,0.000005520142,0.00008456806],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.838858,"threshold_uncertainty_score":0.2588885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06847125301800892,"score_gpt":0.3251973336593426,"score_spread":0.2567260806413336,"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."}}