{"id":"W2795966630","doi":"10.1145/3170427.3185368","title":"Child-Computer Interaction SIG","year":2018,"lang":"en","type":"article","venue":"","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Personalization; Computer science; Big data; Inclusion (mineral); Ubiquitous computing; Data science; Control (management); Data collection; World Wide Web; Internet privacy; Human–computer interaction; Artificial intelligence; Sociology; Social science; Data mining","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":[0.004241175,0.001177825,0.0007263598,0.0009468966,0.002782471,0.004117722,0.0009365545,0.002387702,0.1535719],"category_scores_gemma":[0.004382998,0.0003754015,0.0007087428,0.0007222976,0.0008020293,0.001873064,0.003385028,0.003364655,0.05223301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001991531,"about_ca_system_score_gemma":0.003162876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005489977,"about_ca_topic_score_gemma":0.0215533,"domain_scores_codex":[0.9985563,0.0003330454,0.00007155221,0.000157151,0.0006717194,0.0002102453],"domain_scores_gemma":[0.9946866,0.0008651671,0.0001245682,0.0004545378,0.001928008,0.001941033],"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":[0.00008173432,0.0002429332,0.001395642,0.00009568313,0.00001172831,0.0001643549,0.0003821845,0.00004816709,0.0003363684,0.001879233,0.8909478,0.1044143],"study_design_scores_gemma":[0.000009527905,0.0001036448,0.003107588,0.00008829861,0.000006754093,0.0001544943,0.0005130791,0.00007058562,0.0001912824,0.0004459349,0.9952993,0.000009631221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02412811,0.03073317,0.008432314,0.07056833,0.1035146,0.0008454832,0.003649279,0.002549971,0.7555788],"genre_scores_gemma":[0.02902408,0.008739452,0.004073816,0.004189058,0.006219788,0.0006396472,0.001332613,0.0004166263,0.945365],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1535719,"threshold_uncertainty_score":0.5137494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781786228197943,"score_gpt":0.2963277135914502,"score_spread":0.2785098513094708,"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."}}