{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003723566,0.0003423897,0.0003329933,0.001269322,0.00108303,0.005513362,0.000547604,0.000772232,0.002264463],"category_scores_gemma":[0.01194411,0.0003993172,0.0005554903,0.0008789724,0.003864276,0.005653343,0.002708601,0.001591239,0.0002739619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665956,"about_ca_system_score_gemma":0.001313332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01310381,"about_ca_topic_score_gemma":0.01588547,"domain_scores_codex":[0.9982382,0.0006390895,0.00009173539,0.0002681851,0.0004437047,0.0003190084],"domain_scores_gemma":[0.9964404,0.001678311,0.0008755517,0.0003450747,0.0004630866,0.0001975653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001066242,0.00008317161,0.1610109,0.0001912992,0.00003441667,0.00122102,0.7554513,0.0006986518,0.006929584,0.02098212,0.001540182,0.05175075],"study_design_scores_gemma":[0.00002024446,0.0002628014,0.3062525,0.0006903217,0.0001389454,0.00310862,0.5904771,0.001943353,0.004610887,0.01591577,0.07640167,0.0001777129],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850597,0.0007050952,0.004035631,0.0005389148,0.00001550502,0.00002596359,0.0001506721,0.00004110108,0.009427434],"genre_scores_gemma":[0.9956812,0.0007511255,0.002279868,0.00006868708,0.000002257597,0.00003666429,0.0001068717,0.0000196081,0.001053727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01310381,"threshold_uncertainty_score":0.0260551,"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."}}