{"id":"W1963693831","doi":"10.1007/s007790170008","title":"When are Personal Technologies for Children?","year":2001,"lang":"en","type":"article","venue":"Personal and Ubiquitous Computing","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Mobile technology; Emerging technologies; Mobile device; Human–computer interaction; Data science; Internet privacy; World Wide Web; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001365343,0.0001839343,0.0001951827,0.0001048252,0.000440652,0.0001573471,0.0003925061,0.00007201165,0.000007295716],"category_scores_gemma":[0.00004497047,0.0001638253,0.0001093737,0.0001272087,0.00007561939,0.0002815266,0.0002890984,0.000172481,0.00001214263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003224227,"about_ca_system_score_gemma":0.00002391612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002648234,"about_ca_topic_score_gemma":0.000004551964,"domain_scores_codex":[0.99879,0.00002056328,0.0001473006,0.0004650371,0.000163041,0.0004140646],"domain_scores_gemma":[0.9994537,0.00014454,0.0001068976,0.0001195623,0.0001232292,0.00005205568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003007044,0.0007403803,0.2608448,0.0002374781,0.0007124589,0.0001555488,0.04783865,0.00004275312,0.03028673,0.05925413,0.04211023,0.5574762],"study_design_scores_gemma":[0.003620672,0.001337189,0.3663815,0.0005335103,0.00009471572,0.002096668,0.01738094,0.5646724,0.01005902,0.01377333,0.01775243,0.002297639],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7218022,0.0008177579,0.2706628,0.005080813,0.0003473171,0.0002764567,0.00001269872,0.0001993754,0.0008006051],"genre_scores_gemma":[0.993163,0.00002897767,0.005688547,0.00068872,0.0002222932,0.000008260837,0.000005890387,0.00001029128,0.0001839811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5646296,"threshold_uncertainty_score":0.6680604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01589719200678352,"score_gpt":0.2515549898830571,"score_spread":0.2356577978762736,"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."}}