{"id":"W4243057846","doi":"10.29085/9781856048613.002","title":"Introduction","year":2018,"lang":"en","type":"book-chapter","venue":"Facet eBooks","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Mobile technology; World Wide Web; Mobile device; Computer science; Multimedia; Developing country; Mobile Web; Telecommunications; Economic growth","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001939446,0.0002270942,0.0001890836,0.0001521532,0.00009863816,0.0001467767,0.0007270891,0.000251178,0.001305086],"category_scores_gemma":[0.00002510279,0.0002368766,0.0000761281,0.00001256562,0.00009237623,0.00008868193,0.0002117377,0.0003646493,0.005582439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001149965,"about_ca_system_score_gemma":0.0001272148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002932835,"about_ca_topic_score_gemma":0.000003074296,"domain_scores_codex":[0.9986726,0.0000218729,0.0002171265,0.0006075886,0.0002859478,0.0001948599],"domain_scores_gemma":[0.9984154,0.00001766353,0.0002134643,0.001143951,0.0001398501,0.00006969159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001376733,0.00000558349,0.000001012901,0.00001957152,0.00002781391,0.000002597989,0.000985428,0.000005491392,0.0001020516,0.5292211,0.386609,0.08301908],"study_design_scores_gemma":[0.00004798254,0.00006917915,0.00001231733,0.00002922332,0.000008699349,0.00001890684,0.000002884623,0.0001316877,0.0003022744,0.04927948,0.949868,0.0002293948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002806427,0.00003639179,0.04138456,0.001012825,0.003951259,0.0002374774,0.000001980894,0.0003565806,0.9529909],"genre_scores_gemma":[0.0003769711,0.000003222237,0.01001634,0.0001945561,0.004476988,0.00001960949,0.00001614013,0.00003650509,0.9848596],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.563259,"threshold_uncertainty_score":0.9996079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542210237371317,"score_gpt":0.2363887832309832,"score_spread":0.2209666808572701,"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."}}