{"id":"W1605301763","doi":"10.1007/978-3-540-79721-0_89","title":"VisoLink: A User-Centric Social Relationship Mining","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Popularity; Computer science; World Wide Web; Visualization; Social network (sociolinguistics); Ranking (information retrieval); Social network service; Enhanced Data Rates for GSM Evolution; Data science; Service (business); Order (exchange); Social media; Information retrieval; Data mining; Artificial intelligence; Psychology; Social psychology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002637592,0.000351321,0.0004371129,0.0005847925,0.0004805305,0.0001474608,0.0007999386,0.000158717,0.0001357335],"category_scores_gemma":[0.0000132531,0.0003576736,0.0002162839,0.0005909359,0.0004102741,0.0001438713,0.0003965848,0.000673425,0.0000264054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000147734,"about_ca_system_score_gemma":0.0002573223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002708232,"about_ca_topic_score_gemma":0.00001746529,"domain_scores_codex":[0.9978824,0.00002778058,0.0004075605,0.0007422998,0.0004957495,0.0004442544],"domain_scores_gemma":[0.9987153,0.0003534418,0.0002807164,0.0004437383,0.0001295927,0.00007715216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001004853,0.00007928778,0.02696933,0.00001743896,0.00007319856,0.00003654742,0.002149744,0.01314506,0.00001522464,0.03719309,0.001906074,0.9184049],"study_design_scores_gemma":[0.00111114,0.0002178309,0.0129234,0.0008165113,0.0002106688,0.00003852592,0.00000211785,0.3950401,0.000392567,0.5311533,0.05452901,0.00356481],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001175479,0.0001518058,0.9864559,0.0001677664,0.0002251197,0.0002008216,0.000006266666,0.0001005224,0.01151632],"genre_scores_gemma":[0.9222839,0.000006904733,0.07490229,0.0001720564,0.001909389,0.000008529474,0.00002994092,0.00003823041,0.0006487328],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9211084,"threshold_uncertainty_score":0.9998875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499464992974731,"score_gpt":0.2676699473180763,"score_spread":0.242675297388329,"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."}}