{"id":"W2143698785","doi":"10.1609/icwsm.v3i1.13981","title":"Connecting Users with Similar Interests across Multiple Web Services","year":2009,"lang":"en","type":"article","venue":"Proceedings of the International AAAI Conference on Web and Social Media","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Popularity; World Wide Web; Web service; Normalization (sociology); User group; Service (business); Internet privacy; Information retrieval; Business","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":[0.0001299619,0.0001381441,0.0001904072,0.00004046283,0.0001666723,0.0001370478,0.0004469664,0.00003536051,0.00006338687],"category_scores_gemma":[0.00001942017,0.00009872067,0.00007533801,0.00009498585,0.0000703002,0.0001508965,0.0001106847,0.0001745992,0.000001279867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001944177,"about_ca_system_score_gemma":0.00002497571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003132579,"about_ca_topic_score_gemma":0.0001628228,"domain_scores_codex":[0.9991715,0.000005323024,0.0001868545,0.0001968994,0.0002810206,0.000158389],"domain_scores_gemma":[0.9992712,0.0000816102,0.0002416095,0.00004446533,0.0003264283,0.00003469994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005610288,0.0004791821,0.4424566,0.00006929036,0.0006535455,0.000001078701,0.03258302,0.00001376619,0.06644497,0.3538687,0.001179497,0.1016893],"study_design_scores_gemma":[0.01041036,0.00110219,0.2431554,0.003865249,0.0005564123,0.00001423735,0.1411863,0.1807046,0.1043182,0.2898796,0.02156749,0.003239953],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907608,0.000005929079,0.00001232831,0.002547262,0.00007325553,0.0000919704,0.00003429924,0.00003599016,0.006438137],"genre_scores_gemma":[0.9992589,0.000005645822,0.0002121353,0.0001576521,0.0003038152,0.00000708084,0.000008513928,0.000007982002,0.00003824064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1993012,"threshold_uncertainty_score":0.4025712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045708555029058,"score_gpt":0.2754993019003084,"score_spread":0.2550422163500178,"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."}}