{"id":"W2052465695","doi":"10.3138/cjccj.46.5.597","title":"Watching the Web: Thoughts on Expanding Police Surveillance Opportunities under the Cyber-Crime Convention","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Criminology; Convention; Computer security; Political science; Cyber crime; Engineering; Law; Internet privacy; Business; Sociology; Computer science; The Internet; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002215596,0.0004283338,0.0005016054,0.0004260737,0.001543354,0.0003263745,0.001553424,0.0002732018,0.00001718753],"category_scores_gemma":[0.0008152375,0.0003080716,0.0001964062,0.0001591838,0.0009749297,0.0004755579,0.0001536576,0.00123772,0.00000839448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008477918,"about_ca_system_score_gemma":0.002785964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02111698,"about_ca_topic_score_gemma":0.08685175,"domain_scores_codex":[0.9965684,0.0006321851,0.000687291,0.0004336556,0.0001811394,0.00149727],"domain_scores_gemma":[0.9959983,0.001787925,0.0004588767,0.0006164201,0.0003606864,0.0007778562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008552522,0.00004670922,0.0001290675,0.0004086356,0.0002032325,0.001280812,0.04787105,0.002778722,0.0003265982,0.937176,0.00154161,0.00815199],"study_design_scores_gemma":[0.004060046,0.002637852,0.08732437,0.001308749,0.00944023,0.02958689,0.7447355,0.0013322,0.001836793,0.07194357,0.04367986,0.002113918],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481969,0.001829571,0.01762462,0.02439603,0.001314029,0.0002133037,0.00001527551,0.00004728558,0.006363006],"genre_scores_gemma":[0.9888915,0.001501008,0.0009411739,0.007634937,0.0006754159,0.00001909075,0.000004040713,0.00002857163,0.0003042049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8652325,"threshold_uncertainty_score":0.9999371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.129711666747987,"score_gpt":0.3109578630801951,"score_spread":0.1812461963322081,"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."}}