{"id":"W2465750297","doi":"10.19173/irrodl.v17i4.2459","title":"Using the mTSES to Evaluate and Optimize mLearning Professional Development","year":2016,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile device; Computer science; Professional development; Psychology; Medical education; Medicine; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009692671,0.0000894914,0.0001571076,0.0001117929,0.0003613321,0.0002323295,0.001626182,0.00002181396,0.00006751067],"category_scores_gemma":[0.004024364,0.00004319884,0.00001814772,0.0004619615,0.0001374445,0.0003190863,0.002203636,0.0003840751,0.00001271434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401888,"about_ca_system_score_gemma":0.0003913845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007081407,"about_ca_topic_score_gemma":0.000004356287,"domain_scores_codex":[0.9972499,0.001072797,0.0003339969,0.0002967826,0.0008070219,0.0002395272],"domain_scores_gemma":[0.9973976,0.001717717,0.0001502222,0.0002527309,0.0004072472,0.00007445486],"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":[0.0001146138,0.0001670181,0.0560226,0.000735786,0.0000847281,0.000008717609,0.002839457,0.003044347,0.001610895,0.02413915,0.003666634,0.9075661],"study_design_scores_gemma":[0.00258089,0.0003365446,0.2231867,0.07660603,0.00002475437,0.0001839845,0.004331598,0.07748641,0.001616502,0.005884978,0.6070047,0.0007569111],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6200539,0.0144802,0.1625106,0.1934923,0.001072272,0.004108041,0.00001129307,0.00006214334,0.004209347],"genre_scores_gemma":[0.9759372,0.005109123,0.0166115,0.0005096215,0.00006705774,0.0002426714,0.00001074363,0.00001190206,0.001500204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9068092,"threshold_uncertainty_score":0.481783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1704264487558245,"score_gpt":0.4961652841274403,"score_spread":0.3257388353716158,"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."}}