{"id":"W2117607430","doi":"","title":"Data mining not a lost cause in surveillance: Approaches of mitigation under an information studies framework","year":2013,"lang":"en","type":"article","venue":"International Conference on Information Society","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Focus (optics); Computer security; Data science; Terrorism; Information security; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.04933953,0.001612792,0.002002045,0.009472559,0.00389291,0.01195674,0.004931488,0.004525161,0.002472468],"category_scores_gemma":[0.07252855,0.0009770915,0.002079902,0.00658066,0.02165432,0.01462637,0.008410118,0.004941813,0.0002178101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006732157,"about_ca_system_score_gemma":0.01048832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005610885,"about_ca_topic_score_gemma":0.006763341,"domain_scores_codex":[0.9682384,0.02568378,0.001021605,0.002359301,0.0020377,0.000659318],"domain_scores_gemma":[0.8910944,0.0888576,0.006960709,0.007127299,0.00445087,0.001509079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005340889,0.000129985,0.005318345,0.0005068174,0.0002444501,0.0001908801,0.003593749,0.01146734,0.00009479777,0.9415376,0.00187642,0.03498615],"study_design_scores_gemma":[0.00001554219,0.00005341383,0.0007947523,0.0004864086,0.00006463457,0.00007171828,0.004045659,0.01444137,0.0001724613,0.9718876,0.007945162,0.00002125203],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02292966,0.01089282,0.8462131,0.08965049,0.0008892487,0.0005579634,0.0003930636,0.00008356367,0.0283901],"genre_scores_gemma":[0.7686824,0.007540151,0.2136841,0.002951218,0.001493347,0.001208932,0.0002152622,0.00005971217,0.004164858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04933953,"threshold_uncertainty_score":0.2609354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3747152298702253,"score_gpt":0.4418015316545798,"score_spread":0.06708630178435449,"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."}}