{"id":"W1828801942","doi":"10.3968/j.ccc.1923670020130901.zt228","title":"Legal Issues Research in the Search Engine Marketing","year":2013,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Internet privacy; Computer security; Personally identifiable information; Privacy by Design; Business; Key (lock); Information privacy; Privacy protection; China; Privacy policy; Privacy software; Information security; Computer science; Law; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.006894419,0.0002505013,0.0004255108,0.003550451,0.005533417,0.009432934,0.001035012,0.004085349,0.0182037],"category_scores_gemma":[0.01679188,0.0002880234,0.0006308321,0.003090648,0.008767428,0.00968232,0.001412276,0.003827061,0.001094157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008084754,"about_ca_system_score_gemma":0.007347607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01389961,"about_ca_topic_score_gemma":0.01041189,"domain_scores_codex":[0.9939523,0.002221309,0.0003114063,0.0007300015,0.002230399,0.0005545063],"domain_scores_gemma":[0.9840577,0.01134687,0.001197147,0.0006207285,0.002356894,0.0004206609],"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":[0.00001952191,0.00005058988,0.001971628,0.0001339835,0.00001035631,0.0002738195,0.002732204,0.000157317,0.0001235974,0.968471,0.00748083,0.01857515],"study_design_scores_gemma":[0.00004150929,0.00005949318,0.01157263,0.001003363,0.00007516885,0.0006934709,0.008672488,0.002762015,0.001105171,0.5787345,0.3952259,0.00005436011],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08035211,0.03858019,0.009744922,0.09260021,0.0008537753,0.0001607791,0.0002387974,0.00005598792,0.7774132],"genre_scores_gemma":[0.8867326,0.01738534,0.00272242,0.009031883,0.001236915,0.0001442231,0.0001337106,0.0000419648,0.08257105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0182037,"threshold_uncertainty_score":0.06089747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1136783686917443,"score_gpt":0.4595239922272637,"score_spread":0.3458456235355195,"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."}}