{"id":"W3005687399","doi":"10.1111/jcal.12417","title":"The effects of ABRACADABRA on reading outcomes: An updated meta‐analysis and landscape review of applied field research","year":2020,"lang":"en","type":"article","venue":"Journal of Computer Assisted Learning","topic":"Reading and Literacy Development","field":"Psychology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Vocabulary; Reading (process); Context (archaeology); Meta-analysis; Suite; Mathematics education; Computer science; Psychology; Instructional design; Linguistics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02604186,0.001973806,0.009232628,0.00891941,0.0005826672,0.003857285,0.001855575,0.00180037,0.002922365],"category_scores_gemma":[0.06092086,0.001288751,0.02220099,0.007558207,0.0009258289,0.001916392,0.00151266,0.001998938,0.0003695695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002221253,"about_ca_system_score_gemma":0.004091183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005148337,"about_ca_topic_score_gemma":0.01183525,"domain_scores_codex":[0.9853689,0.006672367,0.004603044,0.001306784,0.001767648,0.0002813873],"domain_scores_gemma":[0.9533268,0.03346889,0.007146893,0.001667755,0.003995595,0.0003940775],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002225578,0.0001056245,0.004754416,0.4686146,0.4581147,0.0001265803,0.0003012837,0.0003219142,0.0007209209,0.0002852415,0.001181455,0.06324772],"study_design_scores_gemma":[0.0008723852,0.0004444209,0.008187586,0.07129968,0.9126125,0.0001187763,0.0001287509,0.0001044067,0.0004736478,0.0002630617,0.005461835,0.00003292035],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006207215,0.9917282,0.0005654733,0.0002890791,0.0001732774,0.0002371466,0.0003278393,0.00002654053,0.0004451786],"genre_scores_gemma":[0.1616759,0.8312823,0.00357737,0.0009738673,0.0002924885,0.00100657,0.0007685816,0.00005542784,0.0003674877],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9739581,"threshold_uncertainty_score":0.1377242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05585995842404771,"score_gpt":0.381229574670661,"score_spread":0.3253696162466133,"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."}}