{"id":"W2262127767","doi":"","title":"Technology in Teacher Education Becomes More Accessible and Natural: Implementation of a Wireless Mobile Computer Lab","year":2004,"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 Alberta","funders":"","keywords":"Computer science; Multimedia; Natural (archaeology); Wireless; Mobile technology; Mobile device; Technology education; Human–computer interaction; World Wide Web; Telecommunications; Pedagogy; Sociology; Geography","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":[0.0003716139,0.0002264649,0.0002378511,0.001057316,0.0001297945,0.0001750547,0.001035129,0.0003239964,0.00004404771],"category_scores_gemma":[0.00006424457,0.0002471989,0.00009977312,0.001064343,0.0002323051,0.002456617,0.0002512599,0.0004300414,0.00001035991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005186222,"about_ca_system_score_gemma":0.001659921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002000781,"about_ca_topic_score_gemma":0.00003019939,"domain_scores_codex":[0.9983015,0.00002452408,0.0007423126,0.0003763674,0.0002893561,0.000265922],"domain_scores_gemma":[0.9978036,0.0000373419,0.0006766825,0.0004272916,0.001007881,0.00004719722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006414161,0.0004586306,0.04468249,0.00009539801,0.00004785972,3.509216e-8,0.009782482,0.000120425,0.0005845921,0.2784656,0.0009788539,0.6647772],"study_design_scores_gemma":[0.008731067,0.001046362,0.2680385,0.001180723,0.0001381945,0.0001854074,0.2462478,0.06643865,0.03436647,0.3000971,0.0708551,0.002674608],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8256662,0.000259119,0.1477437,0.02257404,0.001642496,0.001385875,0.00001167332,0.0003586046,0.0003583157],"genre_scores_gemma":[0.9222407,0.00009130028,0.07518293,0.0004286524,0.00007906128,0.001535601,0.0002072318,0.00001231558,0.000222197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6621026,"threshold_uncertainty_score":0.999998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009528529355982083,"score_gpt":0.3287419213161865,"score_spread":0.3192133919602044,"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."}}