{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001701047,0.0004877109,0.0007776735,0.007701202,0.0009667957,0.003735778,0.0005086004,0.001075079,0.004472098],"category_scores_gemma":[0.01229199,0.000365284,0.0006754974,0.008573245,0.0007915855,0.002630156,0.001926524,0.001217772,0.000480259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002750743,"about_ca_system_score_gemma":0.004369375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01365863,"about_ca_topic_score_gemma":0.02123816,"domain_scores_codex":[0.9968923,0.001043246,0.0005178241,0.0002385302,0.001055305,0.0002528648],"domain_scores_gemma":[0.9878321,0.008904001,0.001514073,0.0001336774,0.001273434,0.0003427539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001007223,0.0002076951,0.05060182,0.03287116,0.000241624,0.001168998,0.01763544,0.0002688023,0.0003898055,0.004277411,0.006536105,0.8857003],"study_design_scores_gemma":[0.00002306711,0.0004110437,0.3119678,0.1658448,0.0009019462,0.006109072,0.04857174,0.000214591,0.001763206,0.001985129,0.4620708,0.0001367345],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07824367,0.8964944,0.0006563889,0.003157507,0.0004865426,0.00007048095,0.0003799743,0.00002429854,0.02048663],"genre_scores_gemma":[0.1874021,0.8086391,0.0007562433,0.0006811212,0.0001465141,0.00009314063,0.0001943133,0.00001060329,0.00207681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01365863,"threshold_uncertainty_score":0.02715826,"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."}}