{"id":"W1937394474","doi":"10.2139/ssrn.2226647","title":"Real and Substantial Connections: Enforcing Canadian Privacy Laws Against American Social Networking Companies","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Victoria","funders":"","keywords":"Business; Privacy laws of the United States; Information privacy; Law; Internet privacy; Political science; Computer 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":[0.01274103,0.0004186289,0.0004072966,0.002847618,0.04503656,0.01634161,0.004339917,0.01053194,0.006947831],"category_scores_gemma":[0.06223192,0.0007420029,0.0007131909,0.003921994,0.0122568,0.004729622,0.005600384,0.01235174,0.0005654365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1122217,"about_ca_system_score_gemma":0.2600046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9914723,"about_ca_topic_score_gemma":0.9943197,"domain_scores_codex":[0.9774129,0.001890301,0.0004426988,0.00142392,0.0096967,0.009133442],"domain_scores_gemma":[0.9510745,0.02311701,0.002100171,0.002770569,0.01473384,0.006204005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002623476,0.0003072588,0.05901499,0.000119012,0.00008445453,0.001081162,0.07054964,0.002467527,0.001523329,0.6270266,0.1577386,0.07982512],"study_design_scores_gemma":[0.0002180579,0.0002183809,0.09498303,0.0007973739,0.0003911513,0.0004467473,0.1234935,0.007571231,0.004587563,0.06236058,0.704466,0.0004663388],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3701507,0.001533892,0.003867654,0.1377003,0.0005412231,0.0003974136,0.0004525078,0.0001590209,0.4851972],"genre_scores_gemma":[0.9245771,0.0007651089,0.001331863,0.02455752,0.0001067776,0.00009443441,0.0001189549,0.00004472872,0.04840351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1122217,"threshold_uncertainty_score":0.8142289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01782182773782752,"score_gpt":0.2749526385851254,"score_spread":0.2571308108472979,"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."}}