{"id":"W2569599807","doi":"10.1016/j.jecp.2016.12.001","title":"Toddlers’ word learning and transfer from electronic and print books","year":2017,"lang":"en","type":"article","venue":"Journal of Experimental Child Psychology","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council; Egypt-Japan University of Science and Technology","keywords":"Touchscreen; Psychology; Object (grammar); Context (archaeology); Electronic book; Word (group theory); Communication; Developmental psychology; Multimedia; Linguistics; Computer science; Human–computer interaction; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001214757,0.0003548976,0.000501827,0.0008707491,0.0004364694,0.002713677,0.0006242347,0.0005908866,0.005134625],"category_scores_gemma":[0.01689892,0.000413352,0.0003165947,0.0003785011,0.0008679806,0.001301687,0.001276262,0.001109315,0.00174097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000578283,"about_ca_system_score_gemma":0.0005121346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01400571,"about_ca_topic_score_gemma":0.01103377,"domain_scores_codex":[0.9991211,0.0001195801,0.00008766685,0.0002190596,0.0003352378,0.0001172883],"domain_scores_gemma":[0.9937406,0.002675711,0.001146634,0.0009290064,0.001030754,0.0004772848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00478828,0.002926273,0.6680058,0.0003843378,0.0003150002,0.005166632,0.1022829,0.001040081,0.08348555,0.002348637,0.004757911,0.1244987],"study_design_scores_gemma":[0.0001306697,0.001660777,0.9480248,0.0001060266,0.0001548533,0.001481715,0.02979454,0.001028231,0.01220087,0.0009662633,0.004358388,0.00009292521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997767,0.00004408477,0.00003910155,0.00001725431,0.000006288969,0.000006727822,0.00005834037,0.00001060275,0.002050689],"genre_scores_gemma":[0.9958896,0.0000895409,0.0001599071,0.00003176077,0.000002327214,0.00001746093,0.0002011572,0.00001288488,0.003595361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01400571,"threshold_uncertainty_score":0.02784842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02282986589872842,"score_gpt":0.3516000790266329,"score_spread":0.3287702131279045,"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."}}