{"id":"W2515861147","doi":"10.1353/jeu.2016.0006","title":"Parental Mediation, YouTube’s Networked Public, and the “Baby-iPad Encounter”: Mobilizing Digital Dexterity","year":2016,"lang":"en","type":"article","venue":"Jeunesse Young People Texts Cultures","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mediation; Set (abstract data type); Reciprocal; Mobile device; Reading (process); Multimedia; Naturalness; Internet privacy; Digital media; Psychology; Computer science; Human–computer interaction; Sociology; Political science; World Wide Web; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001430294,0.0002532699,0.0002541019,0.001239203,0.003765052,0.003856378,0.0004681748,0.0006744598,0.003687628],"category_scores_gemma":[0.005440536,0.0002204783,0.0001040579,0.001323803,0.004605172,0.003218641,0.003952134,0.0007649846,0.0002389193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900653,"about_ca_system_score_gemma":0.001665685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0236927,"about_ca_topic_score_gemma":0.05003205,"domain_scores_codex":[0.9984455,0.0009110731,0.0000793037,0.0001399427,0.0002007043,0.0002236186],"domain_scores_gemma":[0.997962,0.001232947,0.0003631995,0.0001256753,0.0001241199,0.0001920626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002602208,0.00001503944,0.01989046,0.00006976166,0.0000047003,0.001340617,0.9579606,0.00001612826,0.0007063763,0.006999293,0.0008168719,0.01215406],"study_design_scores_gemma":[0.00000313018,0.00002567187,0.02086354,0.0001346618,0.000005910434,0.0006129189,0.9542189,0.00003228907,0.0005179475,0.0006570395,0.02291508,0.00001290459],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713794,0.000750347,0.0006025696,0.001095944,0.0000336701,0.00002373874,0.0001072788,0.000007962517,0.0259991],"genre_scores_gemma":[0.9961764,0.0006035462,0.0002521459,0.0001081215,0.00001072,0.0000310482,0.00004382709,0.000007828997,0.002766426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0236927,"threshold_uncertainty_score":0.0471096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107404816762797,"score_gpt":0.2582968755137518,"score_spread":0.2472228273461238,"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."}}