{"id":"W7009322699","doi":"","title":"Drawing Privacy: How Children Conceptualize Regulation and Content Across Development","year":2025,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Key (lock); Content (measure theory); Control (management); Content analysis; Information privacy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000287379,0.0002539195,0.0002781907,0.0001604219,0.0008026638,0.002826846,0.0004738444,0.0002540991,0.0000898548],"category_scores_gemma":[0.0006941534,0.0002481484,0.00007631537,0.0006205309,0.0005205459,0.003596114,0.0005696196,0.0002621922,0.0001482263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009311784,"about_ca_system_score_gemma":0.0003178343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007243414,"about_ca_topic_score_gemma":0.00001055729,"domain_scores_codex":[0.9981082,0.00006630567,0.0003709956,0.0004996829,0.0003670518,0.000587781],"domain_scores_gemma":[0.9992343,0.0001483974,0.0001245714,0.0002348264,0.0000565501,0.0002013365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004726494,0.00008126658,0.7863551,0.00001817828,0.00008057366,0.000004998907,0.001534523,1.912754e-7,0.00005295067,0.0592337,0.002812307,0.1497789],"study_design_scores_gemma":[0.000737141,0.000015859,0.2352654,0.0001109989,0.000007159038,0.000002497454,0.001118703,0.000002105111,0.00231627,0.01075422,0.7492779,0.0003916913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9376298,0.0003533952,0.000402555,0.006241923,0.0001471384,0.0005124796,0.0001715364,0.0007007913,0.05384042],"genre_scores_gemma":[0.9877651,0.00003697806,0.001114586,0.0006564378,0.0000672412,0.00002353062,0.0003117666,0.0000254749,0.009998916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7464656,"threshold_uncertainty_score":0.9999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02573026854965415,"score_gpt":0.2577648438801072,"score_spread":0.2320345753304531,"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."}}