{"id":"W2952974520","doi":"10.19173/irrodl.v20i2.3961","title":"Mobile Technology","year":2019,"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":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competence (human resources); Interdependence; Mobile technology; Global citizenship; Mobile device; Public relations; Pedagogy; Political science; Psychology; Sociology; Computer science; Social science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008205281,0.000800193,0.0005344473,0.001834256,0.00147135,0.005347427,0.001157194,0.002379607,0.1760904],"category_scores_gemma":[0.003941159,0.0002609961,0.0004295729,0.002418146,0.0006579414,0.00413624,0.003055033,0.001358422,0.1471775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033933,"about_ca_system_score_gemma":0.001332439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001782649,"about_ca_topic_score_gemma":0.001632795,"domain_scores_codex":[0.998596,0.0002545601,0.0001020477,0.000226873,0.0006502779,0.000170184],"domain_scores_gemma":[0.9985229,0.0003118154,0.00009254795,0.0002770924,0.0006142589,0.0001815303],"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":[0.00009325759,0.00006084444,0.00115571,0.0007548475,0.00001718304,0.0003265296,0.000509033,0.0003098269,0.002859032,0.05215001,0.3241329,0.6176308],"study_design_scores_gemma":[0.000005971971,0.00003417702,0.0007355479,0.0002924583,0.000006314436,0.0003492786,0.000174453,0.0001832501,0.0004168715,0.003969796,0.9938179,0.00001398141],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002834634,0.01895167,0.01589151,0.007410731,0.002909219,0.0003471462,0.002651532,0.002723957,0.9462795],"genre_scores_gemma":[0.05160915,0.03512197,0.01371098,0.004998434,0.001809219,0.0004790093,0.004866013,0.0005032134,0.8869021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1760904,"threshold_uncertainty_score":0.5890809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04230560053123637,"score_gpt":0.4241010271625681,"score_spread":0.3817954266313318,"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."}}