{"id":"W2963451689","doi":"","title":"SocialScope: Enabling Information Discovery on Social Content Sites","year":2009,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; World Wide Web; Presentation (obstetrics); Data science; Information sharing; Content management; Knowledge management","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":[0.0001824203,0.00007022098,0.000102873,0.00009214316,0.0001895476,0.000590571,0.0003274734,0.00003139898,0.00001039223],"category_scores_gemma":[0.00004790103,0.00005535729,0.00006562032,0.0002314678,0.00001066027,0.002566254,0.00005048092,0.00005918811,0.0001304689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002500758,"about_ca_system_score_gemma":0.00002820465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002362115,"about_ca_topic_score_gemma":0.000002908902,"domain_scores_codex":[0.9993531,0.00002221606,0.0001622197,0.0001158767,0.0002009424,0.0001456635],"domain_scores_gemma":[0.9996758,0.00003117074,0.00006702522,0.0001579657,0.00004123115,0.00002678504],"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":[0.00001005224,0.00009862275,0.0002391697,0.000005341146,0.0000361282,0.000002800444,0.002283463,0.0000845,0.002785275,0.3636734,0.02818101,0.6026003],"study_design_scores_gemma":[0.009037825,0.002783619,0.2875828,0.0003660825,0.0003223227,0.00002581931,0.0134215,0.324215,0.1270061,0.04587077,0.1831053,0.006262828],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1760098,0.0000320653,0.7794191,0.01326325,0.0001843504,0.0001025032,0.00001364703,0.0003991539,0.03057615],"genre_scores_gemma":[0.9920069,0.000007290455,0.00381569,0.003378635,0.0001071138,0.0000012647,0.00003029024,0.000001174044,0.0006516661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8159971,"threshold_uncertainty_score":0.569489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05891721385290173,"score_gpt":0.2718646654349444,"score_spread":0.2129474515820426,"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."}}