{"id":"W1999688040","doi":"10.1145/1940761.1940864","title":"Digging into Digg","year":2011,"lang":"en","type":"article","venue":"Proceedings of the 2011 iConference","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Digging; Computer science; Domain (mathematical analysis); Data science; Work (physics); Multimedia; World Wide Web; Human–computer interaction; Information retrieval; Engineering","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":[0.0004075046,0.0001171043,0.0001358083,0.00005828325,0.0001510266,0.00006381496,0.001854236,0.00005984601,0.00007130107],"category_scores_gemma":[0.0001129116,0.00008145789,0.00007206409,0.0002201931,0.0001022511,0.0006043139,0.0006258874,0.0001726943,0.0000774212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001798241,"about_ca_system_score_gemma":0.00005070748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006009209,"about_ca_topic_score_gemma":0.000001236505,"domain_scores_codex":[0.9990653,0.000007920156,0.000219398,0.0002595907,0.0002193083,0.0002285067],"domain_scores_gemma":[0.9992127,0.00002181232,0.000214487,0.0002154013,0.0002630271,0.0000725939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007973725,0.00004035589,0.03785683,0.00005252844,0.00001164852,2.211347e-7,0.007368728,1.342389e-7,0.01260247,0.9314125,0.0004423209,0.01020429],"study_design_scores_gemma":[0.0002540153,0.00009000266,0.04998526,0.0001594271,0.0000170082,0.00001483396,0.0003341801,0.003608866,0.6559394,0.2874183,0.001795394,0.0003832592],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7080071,0.0003319888,0.1360287,0.002693119,0.001478849,0.0005792048,0.000002993917,0.0005917529,0.1502863],"genre_scores_gemma":[0.9821079,0.00001016651,0.01724208,0.000116305,0.00002363605,0.00000834267,1.135958e-7,0.000005575011,0.0004858793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6439942,"threshold_uncertainty_score":0.3445663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05148322709674232,"score_gpt":0.2334094173967552,"score_spread":0.1819261903000129,"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."}}