{"id":"W4378213973","doi":"10.32920/23159888","title":"The Scoop: How to Protect Your Digital Privacy in the Age of Surveillance Capitalism","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Digital literacy; Internet privacy; Competence (human resources); Perception; Computer security; Literacy; Computer science; Business; Political science; Psychology; World Wide Web; Law; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.005890878,0.0002999653,0.0002105634,0.0005195977,0.01001209,0.008695861,0.001087366,0.003193958,0.004274783],"category_scores_gemma":[0.008374235,0.0002807902,0.0002887149,0.0003350335,0.02271046,0.01435541,0.009188187,0.005811694,0.0009340931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002664498,"about_ca_system_score_gemma":0.004079381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009579293,"about_ca_topic_score_gemma":0.01056398,"domain_scores_codex":[0.9968076,0.00206528,0.00006166199,0.0001849811,0.000311264,0.0005693078],"domain_scores_gemma":[0.9958186,0.001712242,0.0003183405,0.0004523823,0.0003233037,0.001375211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00007264827,0.0001430456,0.006935323,0.0001196345,0.00001209341,0.001123046,0.4373035,0.0002082499,0.0008932826,0.4360155,0.04878777,0.06838585],"study_design_scores_gemma":[0.00001929622,0.0001255877,0.00422736,0.0004533124,0.00001369803,0.00136901,0.3527051,0.0006793531,0.001495579,0.2071173,0.4317454,0.0000490621],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3870301,0.005916487,0.0208881,0.2808488,0.001105946,0.0001610968,0.0001089283,0.0002086396,0.3037319],"genre_scores_gemma":[0.9660748,0.002571438,0.004331653,0.006061613,0.00007667246,0.00006755636,0.0000266312,0.00005668442,0.02073295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01001209,"threshold_uncertainty_score":0.03115427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06350195386120673,"score_gpt":0.3174447312584945,"score_spread":0.2539427773972878,"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."}}