{"id":"W1973923078","doi":"10.1145/1516035.1516038","title":"Hacking social networks","year":2009,"lang":"en","type":"article","venue":"netWorker","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Hacker; Computer science; Computer security; Business; Internet privacy","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":[0.0006595851,0.00008612889,0.0001087802,0.00002864272,0.001093164,0.0001361667,0.0003138334,0.000174556,0.0001914319],"category_scores_gemma":[0.00009225485,0.00008931181,0.00006319034,0.0003043747,0.00009577024,0.0002843792,0.00006032037,0.0002226576,0.00005160483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006825837,"about_ca_system_score_gemma":0.00004267037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003983756,"about_ca_topic_score_gemma":0.0004664177,"domain_scores_codex":[0.9988421,0.0001631811,0.0001306998,0.000193784,0.0002435843,0.0004266019],"domain_scores_gemma":[0.9996184,0.00003408702,0.00006027899,0.0001591943,0.00004512238,0.00008298767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006386416,0.0001028204,0.003215942,0.000002734964,0.00002066689,0.00001101792,0.006921488,0.0003923236,0.00001465662,0.09749906,0.3436815,0.5480739],"study_design_scores_gemma":[0.0002897132,0.00003739403,0.02238369,0.00001663398,0.00001640622,0.000001007046,0.0004721383,0.002924684,0.000004034829,0.03108396,0.942513,0.0002572909],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04936919,0.003359893,0.0905023,0.03482994,0.006822022,0.001261862,0.000008194012,0.001628109,0.8122185],"genre_scores_gemma":[0.9910312,0.0001440972,0.0002333549,0.001426391,0.006663077,0.000005493564,0.00001150704,0.000006945514,0.0004779201],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.941662,"threshold_uncertainty_score":0.8407847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02900751120519781,"score_gpt":0.308979368049616,"score_spread":0.2799718568444182,"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."}}