{"id":"W4311833160","doi":"10.31235/osf.io/sdzua","title":"Children’s Privacy and Video Games: Comments on Commercial Surveillance ANPR, R111004","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Arts and Humanities Research Council","keywords":"Notice; Rulemaking; Context (archaeology); Agency (philosophy); Internet privacy; Commission; Privacy law; Information privacy; Privacy policy; Privacy by Design; Business; Public relations; Political science; Computer science; Law; Sociology","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001778354,0.0003556412,0.0004682209,0.000169716,0.001411974,0.0003936243,0.001518251,0.0003512352,0.001211899],"category_scores_gemma":[0.0009161233,0.0003731509,0.0001302509,0.0002162467,0.0003169941,0.0002139208,0.004702294,0.001259632,0.000043526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000450846,"about_ca_system_score_gemma":0.0002709298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03979761,"about_ca_topic_score_gemma":0.008625831,"domain_scores_codex":[0.9963233,0.001038185,0.0003920139,0.000882841,0.0008479097,0.0005157033],"domain_scores_gemma":[0.9981226,0.0002449743,0.0002813881,0.001048218,0.00007117143,0.0002316141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005033406,0.001593724,0.525336,0.0002798156,0.0004348122,0.00002215616,0.03846346,0.00004784994,0.00001374762,0.02447803,0.3176249,0.09120218],"study_design_scores_gemma":[0.00132523,0.0002441746,0.492632,0.00009829014,0.0000387674,0.000003728537,0.001770074,0.0000512465,0.00003313385,0.02366018,0.4789962,0.001146979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9027555,0.001150755,0.0006625839,0.03048284,0.005333269,0.003917683,0.001394116,0.0009021003,0.05340118],"genre_scores_gemma":[0.992111,0.002661128,0.0003364171,0.002246353,0.001172773,0.0002123328,0.0006238595,0.00003602607,0.0006001487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1613713,"threshold_uncertainty_score":0.9998881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03521631927580968,"score_gpt":0.3253993667640674,"score_spread":0.2901830474882577,"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."}}