{"id":"W2980762241","doi":"10.51357/jei.v1i1.45","title":"Technology Use in Early Childhood Education","year":2018,"lang":"en","type":"article","venue":"Journal of Educational Informatics","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Literacy; Consistency (knowledge bases); Psychology; Perception; Qualitative property; Sample (material); Mathematics education; Medical education; Developmental psychology; Computer science; Pedagogy; 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":[0.000321744,0.00005764556,0.0001080568,0.0007647179,0.0001168506,0.00008857988,0.0002653303,0.0001119322,0.0001157462],"category_scores_gemma":[0.00140012,0.00005409541,0.00003146274,0.000716155,0.0002516488,0.00120922,0.00002786001,0.0001686328,0.00008322692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001553567,"about_ca_system_score_gemma":0.002768012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004471277,"about_ca_topic_score_gemma":0.0001995276,"domain_scores_codex":[0.9990305,0.00001423574,0.0005364539,0.00003255726,0.000234227,0.0001520253],"domain_scores_gemma":[0.9988472,0.0001263965,0.0003725951,0.00008285801,0.0005097169,0.00006120881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00000961801,0.0004889859,0.3237595,0.000004633087,0.00002057957,3.2137e-7,0.04905511,0.000001514608,0.000004221764,0.5779316,0.01460706,0.03411692],"study_design_scores_gemma":[0.0003585991,0.0001543216,0.6371774,0.0001238041,0.000008333746,0.00005122417,0.01918125,0.000002974167,0.00009732208,0.1626744,0.1799948,0.000175512],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9533022,0.00005029975,0.00004048187,0.00701933,0.0007840545,0.00008105245,7.506987e-7,0.000009449696,0.03871236],"genre_scores_gemma":[0.9896487,0.0000436658,0.008603934,0.0004106715,0.0003994198,0.000002507878,0.000002099789,0.000003461392,0.0008855324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4152571,"threshold_uncertainty_score":0.4910334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01681594127184055,"score_gpt":0.306103714802884,"score_spread":0.2892877735310435,"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."}}