{"id":"W2142615073","doi":"10.1109/fie.2008.4720686","title":"Integrating mobile devices into the computer science curriculum","year":2008,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Mobile device; Computer science; Capstone; Curriculum; Multimedia; Context (archaeology); Mobile computing; Mobile technology; Human–computer interaction; World Wide Web; Telecommunications","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009420469,0.0001066244,0.00008895162,0.00008509304,0.001546672,0.0004034677,0.001729214,0.0000220321,0.000006712983],"category_scores_gemma":[0.00005844461,0.00005945543,0.00004573005,0.000803522,0.0003301068,0.000618409,0.0004983553,0.00030145,0.00007411576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003445184,"about_ca_system_score_gemma":0.0001032263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006908415,"about_ca_topic_score_gemma":0.00003431972,"domain_scores_codex":[0.9987161,0.00008199998,0.0001521979,0.0003734384,0.0003655172,0.0003107036],"domain_scores_gemma":[0.9991795,0.0001098325,0.00006476994,0.0004774355,0.00009277241,0.00007572251],"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":[1.856901e-7,0.00003992345,0.01184201,0.000003196029,0.000003439272,0.0000075096,0.02616414,0.0005913894,0.00006336999,0.01666231,0.0002494231,0.9443731],"study_design_scores_gemma":[0.0002051121,0.0003034323,0.01135721,0.00005946975,0.00000420165,0.0002628015,0.001499927,0.718946,0.0006019968,0.0002096092,0.2660723,0.000477924],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2327919,0.0001117481,0.7648839,0.0004514873,0.0003415302,0.00008724204,1.318917e-8,0.0004084002,0.0009238635],"genre_scores_gemma":[0.6480891,0.000001886509,0.3514179,0.0003008286,0.00007117423,0.00001004221,1.256949e-7,0.000002916227,0.0001060273],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9438952,"threshold_uncertainty_score":0.9997532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177475995597918,"score_gpt":0.2633619509958736,"score_spread":0.2515871910398944,"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."}}