{"id":"W2897354250","doi":"10.1177/1473779518802571","title":"In search of a privacy action against breaches of physical privacy in Hong Kong","year":2018,"lang":"en","type":"article","venue":"Common Law World Review","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Confidentiality; Punitive damages; Tort; Damages; Statutory law; Internet privacy; Privacy laws of the United States; Personally identifiable information; Law; Cause of action; Privacy policy; Action (physics); Seclusion; Privacy law; Information privacy; Political science; Business; Computer security; Plaintiff; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008177024,0.000178576,0.0003377139,0.001198038,0.002362461,0.003970933,0.0007411491,0.001890496,0.001545667],"category_scores_gemma":[0.00972837,0.0002184182,0.0003833627,0.001820025,0.003582751,0.002586938,0.0018667,0.002008545,0.0001510267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0119559,"about_ca_system_score_gemma":0.04304289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.368665,"about_ca_topic_score_gemma":0.3625591,"domain_scores_codex":[0.9966461,0.001587463,0.0003023341,0.0001711241,0.0005069873,0.0007859409],"domain_scores_gemma":[0.9936736,0.002845281,0.001076094,0.0002849683,0.001481532,0.0006385864],"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":[0.0002614213,0.0003044741,0.04804694,0.006385016,0.0002894086,0.00291293,0.0533664,0.001997894,0.0006815614,0.6282376,0.06723878,0.1902775],"study_design_scores_gemma":[0.0001381436,0.0006234625,0.1327864,0.009178318,0.000570042,0.0007431563,0.06657673,0.0007761736,0.001527423,0.02255601,0.7643849,0.0001392875],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3311522,0.3725772,0.001423958,0.1090881,0.001461789,0.0003051229,0.0002231031,0.0000248223,0.1837436],"genre_scores_gemma":[0.8183917,0.1478189,0.0007130045,0.01419315,0.0001895437,0.00008056989,0.00007692682,0.000006096976,0.01853013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.368665,"threshold_uncertainty_score":0.7330382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09189568260883578,"score_gpt":0.3981252106295614,"score_spread":0.3062295280207256,"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."}}