{"id":"W4404586050","doi":"10.3138/jeunesse-2024-0016","title":"YouTube Read-Alouds: A Case Study in Picture Books","year":2024,"lang":"en","type":"article","venue":"Jeunesse Young People Texts Cultures","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Picture books; Computer science; Psychology; Art; Visual arts","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002951992,0.000777109,0.0006438328,0.00219498,0.01162517,0.003570528,0.002147741,0.003451307,0.003905272],"category_scores_gemma":[0.01378113,0.0005531004,0.0004654695,0.002167376,0.004851338,0.004966037,0.003583374,0.002455791,0.0008654939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004543146,"about_ca_system_score_gemma":0.002028235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04177194,"about_ca_topic_score_gemma":0.1141871,"domain_scores_codex":[0.9940339,0.003866917,0.0002107317,0.0004965583,0.000853961,0.0005379207],"domain_scores_gemma":[0.989825,0.007587303,0.0006256601,0.0004435727,0.0007572026,0.0007613822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000369704,0.0002771873,0.007325367,0.000166194,0.000007319905,0.01297799,0.9619932,0.00007929675,0.00119062,0.002245349,0.002052323,0.01164819],"study_design_scores_gemma":[0.00001114889,0.0001267946,0.007797335,0.0001557886,0.00001188766,0.00351439,0.9618871,0.0005247509,0.001508159,0.0006531298,0.02377399,0.00003549298],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820443,0.0003638274,0.001598398,0.001434535,0.00004599299,0.0002368416,0.0001600257,0.0000364074,0.01407968],"genre_scores_gemma":[0.9796641,0.0007091527,0.003025546,0.0005274571,0.0000420336,0.0002553271,0.000173275,0.0001152018,0.01548781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04177194,"threshold_uncertainty_score":0.08305764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877094071237943,"score_gpt":0.3275375024438283,"score_spread":0.3087665617314489,"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."}}