{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01277011,0.001126191,0.0008196427,0.0008561886,0.006744421,0.004572065,0.002974873,0.02255609,0.01438164],"category_scores_gemma":[0.0772497,0.0006199944,0.0008853227,0.0008320549,0.003562375,0.003641884,0.003108772,0.01665545,0.004610576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007074985,"about_ca_system_score_gemma":0.005499812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03070959,"about_ca_topic_score_gemma":0.03387136,"domain_scores_codex":[0.9848257,0.007229693,0.0008768492,0.00121947,0.004879731,0.0009685651],"domain_scores_gemma":[0.9378906,0.0456718,0.002035324,0.0009188999,0.01093683,0.002546575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000470512,0.00002941997,0.0004633212,0.0001031286,0.000006349296,0.00123099,0.008714013,0.0001077675,0.0004075522,0.005643342,0.9749312,0.008315889],"study_design_scores_gemma":[0.00001505909,0.00005189208,0.001606232,0.0002427585,0.00001100969,0.0003775438,0.01218893,0.0002551374,0.0003516643,0.001161163,0.9836745,0.00006415833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006774379,0.001344287,0.001036732,0.9400418,0.01728306,0.0001430437,0.0003173005,0.0002032972,0.03285617],"genre_scores_gemma":[0.08109564,0.002961145,0.002784466,0.7232648,0.01397188,0.0007886207,0.0002911087,0.0006425629,0.1741997],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03070959,"threshold_uncertainty_score":0.06753558,"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."}}