{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053941,0.00008262438,0.0001060755,0.0002025699,0.00004893721,0.0001193411,0.001092591,0.00003013914,0.00003755636],"category_scores_gemma":[0.0001758509,0.00007368067,0.00005782623,0.0001264848,0.00005669375,0.0003677054,0.0002110182,0.0002132072,0.00002371855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004244329,"about_ca_system_score_gemma":0.00005576372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002354916,"about_ca_topic_score_gemma":4.883285e-7,"domain_scores_codex":[0.9988725,0.00005932355,0.0004114819,0.0001566093,0.0003753024,0.0001247378],"domain_scores_gemma":[0.998727,0.00009970406,0.0003867998,0.000142178,0.0005612753,0.0000830061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003069618,0.0002891439,0.01693979,0.000007674301,0.00009913161,0.0000786891,0.01373482,0.001276881,0.0005776823,0.07017742,0.0006169579,0.8961711],"study_design_scores_gemma":[0.001171605,0.003551584,0.2360186,0.001611548,0.00006467761,0.008361948,0.004055227,0.4708153,0.1135408,0.1142124,0.04497005,0.001626315],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1918124,0.0001425934,0.802623,0.0003926173,0.002938079,0.00003094231,1.412686e-7,0.00002740178,0.002032872],"genre_scores_gemma":[0.9311126,0.00007214848,0.06831869,0.000223766,0.0002008755,3.180993e-7,1.951842e-7,0.000004366361,0.00006707282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8945448,"threshold_uncertainty_score":0.3004611,"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."}}