{"id":"W2124787993","doi":"10.5339/qproc.2013.mlearn.32","title":"Preparing Mobile Learning Strategy for Your Institution","year":2013,"lang":"en","type":"article","venue":"QScience Proceedings","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"D2L (Canada)","funders":"","keywords":"Institution; Computer science; Academic institution; Educational institution; Knowledge management; Engineering management; Process management; Engineering; Psychology; Political science; Pedagogy","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":[0.001596125,0.0003965308,0.0002064719,0.0009701438,0.001824355,0.004117036,0.0009092387,0.002087082,0.03163756],"category_scores_gemma":[0.003835898,0.0001507923,0.0002653672,0.0004549185,0.000363052,0.002680894,0.002155935,0.001315238,0.01332699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550713,"about_ca_system_score_gemma":0.00517482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001080789,"about_ca_topic_score_gemma":0.002615161,"domain_scores_codex":[0.9989575,0.000349013,0.00006145916,0.00006593831,0.0003222912,0.0002438005],"domain_scores_gemma":[0.9977496,0.000182313,0.000118526,0.00008637025,0.000762458,0.00110064],"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":[0.00004739978,0.0007258166,0.003970695,0.000445277,0.00001192779,0.001658975,0.002970788,0.002013315,0.00708904,0.05375498,0.3068837,0.6204283],"study_design_scores_gemma":[0.00002823353,0.0004340792,0.002557807,0.0004803389,0.000008428417,0.000508067,0.009435919,0.002516503,0.004713514,0.009649913,0.9696144,0.00005282552],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1072767,0.001904111,0.1121933,0.07830373,0.003729103,0.004562233,0.0005316285,0.003650268,0.6878489],"genre_scores_gemma":[0.3540001,0.002487944,0.2671418,0.006667404,0.0007043807,0.001430537,0.0006870051,0.0004832316,0.3663975],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03163756,"threshold_uncertainty_score":0.1058382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479949485465461,"score_gpt":0.2907358541715784,"score_spread":0.2659363593169238,"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."}}