{"id":"W2095509412","doi":"10.4018/jaci.2011010106","title":"AmbiLearn","year":2011,"lang":"en","type":"article","venue":"International Journal of Ambient Computing and Intelligence","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; Dublin City University; Enterprise Ireland; Queen's University Belfast; Aalborg Universitet; European Commission; Royal Society; University of Sheffield; New Mexico State University; Invest Northern Ireland; University of Exeter; Centre National de la Recherche Scientifique; Ulster University; University College Dublin; InterTradeIreland","keywords":"Computer science; Redress; Presentation (obstetrics); Personalized learning; Virtual learning environment; Educational technology; Multimedia; Learning environment; Human–computer interaction; Open learning; Teaching method; Mathematics education; Cooperative learning; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001635553,0.0007168562,0.0005501602,0.00103756,0.0008097351,0.003229275,0.002376883,0.001791167,0.0672215],"category_scores_gemma":[0.005254189,0.0005720638,0.0006937013,0.0009794286,0.0006591119,0.007404857,0.009610836,0.00260426,0.05463995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005382241,"about_ca_system_score_gemma":0.001566796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006804169,"about_ca_topic_score_gemma":0.001802757,"domain_scores_codex":[0.9979947,0.0003608423,0.00016374,0.0004174263,0.000842496,0.0002208336],"domain_scores_gemma":[0.998133,0.0005559339,0.0001372374,0.000418888,0.0003087296,0.0004462834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008471058,0.0005312199,0.003501785,0.001835025,0.00004155395,0.0007825759,0.001355971,0.0007890509,0.01046443,0.05346243,0.2347234,0.6916654],"study_design_scores_gemma":[0.00004616522,0.0002012913,0.0007786184,0.000252002,0.00001718031,0.0006090062,0.0001668165,0.0007868167,0.003916344,0.009044087,0.9841343,0.00004740643],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.0242101,0.007531806,0.2216041,0.002323093,0.002223643,0.001723052,0.01505959,0.1466595,0.5786651],"genre_scores_gemma":[0.1006435,0.006351051,0.2217675,0.007187376,0.0007274161,0.002756623,0.05114342,0.02180494,0.5876183],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0672215,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03080008876409219,"score_gpt":0.2955093517192163,"score_spread":0.2647092629551241,"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."}}