{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003613431,0.0004502063,0.000669844,0.001059173,0.003045132,0.0104901,0.000914436,0.004846585,0.02594565],"category_scores_gemma":[0.02049719,0.0005054683,0.0005547733,0.001817169,0.008108417,0.02667763,0.002778595,0.004907245,0.005392735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002534079,"about_ca_system_score_gemma":0.002682982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006127966,"about_ca_topic_score_gemma":0.01021475,"domain_scores_codex":[0.9967103,0.001425017,0.0001591326,0.0002895096,0.0007450359,0.0006711097],"domain_scores_gemma":[0.9916283,0.003796897,0.0009325132,0.0005740551,0.00135573,0.001712396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001643192,0.0001151399,0.01265599,0.001087366,0.00005260859,0.0007703245,0.02348568,0.0001302002,0.0008903935,0.3704295,0.1700089,0.4202095],"study_design_scores_gemma":[0.00001482654,0.00004638654,0.008147822,0.002148773,0.00005465122,0.001566187,0.03751469,0.00006200105,0.0008544252,0.08869661,0.8608357,0.00005800867],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03962065,0.1414213,0.008574768,0.4646904,0.005987498,0.00005287955,0.0008054572,0.0003799692,0.3384672],"genre_scores_gemma":[0.7028726,0.1642838,0.00978298,0.03562571,0.004424328,0.0003091306,0.0004119184,0.0004419662,0.08184751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02594565,"threshold_uncertainty_score":0.08679682,"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."}}