{"id":"W2984577860","doi":"10.1145/3360339","title":"Designing for uprooted children","year":2019,"lang":"en","type":"article","venue":"interactions","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Public relations; Internet privacy; Gerontology; Computer science; Advertising; Sociology; Political science; Business; Medicine","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":[0.0001270551,0.00004493085,0.00006050991,0.00006792101,0.0003018181,0.00004508238,0.0001551469,0.00005619146,0.0004039905],"category_scores_gemma":[0.0002298636,0.00004752707,0.00005017546,0.0001067067,0.00004818933,0.0001989108,0.00001532061,0.0001148432,0.0004702002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008638734,"about_ca_system_score_gemma":0.00004718444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003765479,"about_ca_topic_score_gemma":0.00028774,"domain_scores_codex":[0.9995232,0.00002618489,0.0000776328,0.0001048846,0.00007881932,0.0001893012],"domain_scores_gemma":[0.999675,0.00007727138,0.00004645721,0.0001130423,0.00005128441,0.00003693835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001278946,0.0005423364,0.7312056,0.00001748326,0.0002716306,0.000001684358,0.007844261,0.00004565222,0.03610298,0.02726184,0.129749,0.06682961],"study_design_scores_gemma":[0.003025428,0.0003294719,0.3605912,0.0003206283,0.0001085542,0.00002820502,0.01218356,0.0003093816,0.03742766,0.01260654,0.5720807,0.0009886511],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9226896,0.00002172132,0.009671036,0.006248641,0.002115362,0.001237272,0.0000246168,0.0005964655,0.05739529],"genre_scores_gemma":[0.9857981,0.000002086553,0.00239188,0.0001911351,0.00009659165,0.00001923397,0.000005340669,0.000007903741,0.01148774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4423317,"threshold_uncertainty_score":0.604363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164114767635847,"score_gpt":0.3567647709245274,"score_spread":0.3351236232481689,"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."}}