{"id":"W2768174928","doi":"10.1177/1473779517739798","title":"The need for an intrusion upon seclusion privacy tort within English law","year":2017,"lang":"en","type":"article","venue":"Common Law World Review","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tort; Seclusion; Punitive damages; Law; Confidentiality; Political science; Intrusion; Right to privacy; Common law; Privacy laws of the United States; English law; Information privacy; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00478405,0.0001722779,0.0003410552,0.00002061522,0.008119556,0.000730695,0.002116403,0.00008812678,0.00005078515],"category_scores_gemma":[0.001731921,0.0001220354,0.0001388452,0.0001387455,0.0004289029,0.001203979,0.0009123803,0.0002714244,0.0000207076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001026904,"about_ca_system_score_gemma":0.0000753377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006519565,"about_ca_topic_score_gemma":0.1783253,"domain_scores_codex":[0.997906,0.0006239573,0.0004159421,0.0003263094,0.0003773436,0.0003503942],"domain_scores_gemma":[0.9971793,0.0002363045,0.0004403938,0.001752412,0.0002146338,0.0001769061],"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":[0.00003868755,0.00006424971,0.0001201316,0.0004035149,0.000009845589,9.561272e-7,0.001488361,1.429412e-7,0.00002047541,0.9203961,0.01462048,0.06283706],"study_design_scores_gemma":[0.0002081159,0.00005077504,0.000097287,0.001110107,0.00004232885,5.245981e-7,0.00009825112,0.00003430897,0.00009065727,0.04464635,0.9534451,0.0001762372],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02063582,0.2117735,0.0007114545,0.1267379,0.02196566,0.02162752,0.000170283,0.001580158,0.5947977],"genre_scores_gemma":[0.9300919,0.06051569,0.0007301013,0.004386688,0.002606265,0.0003494132,0.0001026968,0.00004522836,0.001171987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9388246,"threshold_uncertainty_score":0.9931718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06098367319584137,"score_gpt":0.3672633635089096,"score_spread":0.3062796903130683,"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."}}