{"id":"W1546531640","doi":"10.2139/ssrn.1926437","title":"Data Mining User Generated Content: Transforming Play and Leisure in Online Social Gaming into Business Analytics","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Digital Games and Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Analytics; User-generated content; Data science; Computer science; Social media analytics; Content (measure theory); World Wide Web; Internet privacy; Social media","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":[0.0006796385,0.00064586,0.0003706943,0.005381195,0.000553751,0.001937136,0.0006963623,0.0007176136,0.002589685],"category_scores_gemma":[0.005245117,0.0001590171,0.0007730788,0.005089498,0.0003374168,0.001296875,0.001104759,0.0006744839,0.001821848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004570486,"about_ca_system_score_gemma":0.0005843786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00683478,"about_ca_topic_score_gemma":0.01426709,"domain_scores_codex":[0.9991484,0.0002860532,0.00009318664,0.0001646362,0.0002164348,0.0000913846],"domain_scores_gemma":[0.9966703,0.002034375,0.0003035629,0.0003362963,0.0004149316,0.000240591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001049775,0.001742539,0.5819214,0.0009384701,0.0004200279,0.0005305626,0.002960488,0.005283916,0.006955191,0.004795538,0.01409501,0.3793071],"study_design_scores_gemma":[0.00006480779,0.0007156667,0.6942315,0.0005271352,0.000565898,0.001185112,0.01345799,0.2073133,0.01819728,0.02173611,0.04186923,0.0001360904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9111939,0.001342287,0.03608392,0.001065939,0.0001233499,0.0005227575,0.03707592,0.001156056,0.0114358],"genre_scores_gemma":[0.9416427,0.0005221822,0.03228694,0.0001428187,0.0001066128,0.0004701805,0.02131567,0.00008665556,0.003426124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00683478,"threshold_uncertainty_score":0.01358998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08602105752290883,"score_gpt":0.3091883030965866,"score_spread":0.2231672455736778,"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."}}