{"id":"W2256481160","doi":"","title":"Creating Handheld Applications to Support the Development of Conceptual Mastery","year":2010,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Mobile device; Computer science; Human–computer interaction; Knowledge management; World Wide Web","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":[0.0008221325,0.0004500858,0.0001700004,0.0004427008,0.0002751574,0.001453072,0.001042485,0.0007684756,0.01327746],"category_scores_gemma":[0.004352363,0.000335673,0.0003205634,0.0002282284,0.0003477209,0.001950025,0.001407826,0.0007194689,0.002586022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002432665,"about_ca_system_score_gemma":0.0005501445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003762876,"about_ca_topic_score_gemma":0.0006635038,"domain_scores_codex":[0.9997303,0.00006774351,0.00001843038,0.00006279344,0.00007947324,0.00004115342],"domain_scores_gemma":[0.9980664,0.001259252,0.00009352441,0.0002821473,0.0001718416,0.0001268811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003826584,0.0007565133,0.004553055,0.0004731415,0.00002924641,0.001222561,0.008631055,0.002805512,0.3024644,0.0176118,0.008908207,0.6521618],"study_design_scores_gemma":[0.0005935704,0.002541559,0.02884934,0.0005691574,0.0002187433,0.003158119,0.005954485,0.0698695,0.4668816,0.0321479,0.3889914,0.0002246908],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3992509,0.0003145322,0.5408419,0.0005653953,0.0001707963,0.0009828471,0.0002709558,0.01028011,0.04732246],"genre_scores_gemma":[0.5398576,0.0003585439,0.418499,0.0001759102,0.0000323131,0.0006218087,0.0005083915,0.001070108,0.03887628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01327746,"threshold_uncertainty_score":0.04441744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02431643947264802,"score_gpt":0.3150814112743784,"score_spread":0.2907649718017304,"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."}}