{"id":"W2793082563","doi":"10.14236/ewic/hci2017.45","title":"Engaging Children About Online Privacy Through Storytelling in an Interactive Comic","year":2017,"lang":"en","type":"article","venue":"Electronic workshops in computing","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Comics; Reading (process); Storytelling; Internet privacy; Psychology; Control (management); Computer science; Multimedia; Narrative; Artificial intelligence; Art; Political science; Literature","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009633472,0.0001786935,0.0002833344,0.0001801036,0.000958106,0.0003224986,0.001108283,0.0001653977,0.00001640935],"category_scores_gemma":[0.0005892654,0.0002061674,0.00004766304,0.0002695889,0.0002403018,0.0008576201,0.0003396705,0.001223811,0.000007389804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007585755,"about_ca_system_score_gemma":0.0004111874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009569486,"about_ca_topic_score_gemma":0.01211309,"domain_scores_codex":[0.9978825,0.0001682532,0.0003625902,0.0004595496,0.0002038279,0.000923302],"domain_scores_gemma":[0.9989548,0.0003057665,0.0002551835,0.0004016861,0.0000345746,0.00004794794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004379028,0.0002970229,0.5753102,0.000004439186,0.00002783054,0.00001834201,0.04952911,0.0009104587,0.0000257589,0.03302275,0.0000372713,0.3407731],"study_design_scores_gemma":[0.002317566,0.00009878419,0.9242367,0.000813408,0.00001040784,0.00001044809,0.008850027,0.00970823,0.0002051634,0.04789353,0.004836935,0.001018784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915581,0.0004824752,0.001299193,0.001010154,0.0002635451,0.0002817996,6.953928e-7,0.000158483,0.004945592],"genre_scores_gemma":[0.997667,0.0001416165,0.001668636,0.0001267038,0.0002942507,0.000002890953,0.00001493682,0.00002038261,0.00006363745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3489265,"threshold_uncertainty_score":0.8407261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02656679563219528,"score_gpt":0.3481283030313192,"score_spread":0.3215615073991239,"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."}}