{"id":"W2297307750","doi":"","title":"Infusing Wireless Technology into Teacher Education","year":2002,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Wireless; Pedagogy; Mathematics education; Multimedia; Sociology; Telecommunications; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000536261,0.0003246741,0.0002488115,0.00110897,0.000385572,0.0004492222,0.002067898,0.000635012,0.0003103959],"category_scores_gemma":[0.0005335206,0.0003700702,0.0001902689,0.001566432,0.0002906727,0.003364569,0.0003053112,0.0006926652,0.0003673241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009862075,"about_ca_system_score_gemma":0.001471479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004522143,"about_ca_topic_score_gemma":0.00000472632,"domain_scores_codex":[0.9977466,0.00004120536,0.0007930134,0.0005023712,0.0005156149,0.0004011882],"domain_scores_gemma":[0.9956955,0.00004503289,0.0007220741,0.0008559295,0.002560899,0.0001205605],"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":[0.000003199933,0.0005133554,0.004278696,0.00003685166,0.00004953059,3.240324e-8,0.006711444,0.00002511932,0.0002967055,0.3279855,0.05123328,0.6088663],"study_design_scores_gemma":[0.0009593503,0.000184709,0.001096552,0.0001882831,0.00005066155,0.00008339504,0.02822006,0.1401138,0.001623446,0.1430132,0.6834734,0.0009931924],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1179427,0.000689094,0.7117429,0.1074299,0.008359456,0.002086836,0.00001261655,0.002913571,0.04882288],"genre_scores_gemma":[0.8694797,0.00008888266,0.1221278,0.001303741,0.0003152579,0.001647778,0.0002164835,0.00002481698,0.004795588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.751537,"threshold_uncertainty_score":0.9998751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537943696950666,"score_gpt":0.2890212789645183,"score_spread":0.2736418419950117,"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."}}