{"id":"W2170138277","doi":"10.1109/icde.2009.59","title":"GuruMine: A Pattern Mining System for Discovering Leaders and Tribes","year":2009,"lang":"en","type":"article","venue":"Proceedings - International Conference on Data Engineering","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Set (abstract data type); Social media; Process (computing); Social network (sociolinguistics); Interface (matter); World Wide Web; Graphical user interface; Data science; Information retrieval","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001511026,0.001408133,0.001204795,0.003381329,0.0009924127,0.002165002,0.002727406,0.001005677,0.01009783],"category_scores_gemma":[0.006025306,0.0009282508,0.001219675,0.002409405,0.0005293932,0.004201787,0.002575407,0.001428122,0.005737924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007663406,"about_ca_system_score_gemma":0.001079726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003613106,"about_ca_topic_score_gemma":0.006717317,"domain_scores_codex":[0.9990448,0.0001598751,0.0001111638,0.0003390743,0.0002781287,0.00006694889],"domain_scores_gemma":[0.9983937,0.0006507901,0.0001485198,0.0004540057,0.0002405705,0.0001124582],"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":[0.001323996,0.0003550515,0.01713014,0.001864776,0.000402155,0.001578195,0.001580307,0.02065708,0.01535171,0.03689694,0.2623999,0.6404598],"study_design_scores_gemma":[0.0003154965,0.0002546967,0.00662839,0.0003202428,0.0001501424,0.001533364,0.0005564414,0.5133706,0.0265699,0.0705538,0.3795528,0.0001939947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008260519,0.0005291521,0.8054754,0.0006322567,0.0002288959,0.0004604648,0.0142383,0.1644162,0.005758814],"genre_scores_gemma":[0.05177601,0.0004921566,0.9065801,0.0005813371,0.00005643897,0.0007220572,0.02820085,0.004176761,0.0074143],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01009783,"threshold_uncertainty_score":0.03378063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0736423980785224,"score_gpt":0.2996072730270575,"score_spread":0.2259648749485351,"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."}}