{"id":"W2989171810","doi":"10.5210/fm.v24i11.9999","title":"Mobile learning and student engagement in remote field activities","year":2019,"lang":"en","type":"article","venue":"First Monday","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Geospatial analysis; Mobile device; Field (mathematics); Field trip; Computer science; Learning design; Multimedia; Collaborative learning; Mathematics education; Psychology; World Wide Web; Knowledge management; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003756335,0.00008593705,0.0001042223,0.00009781529,0.00008061068,0.0001107612,0.000360104,0.00004304578,0.0001053239],"category_scores_gemma":[0.00006973433,0.00008708422,0.0000179496,0.0001422606,0.00001031821,0.0002370621,0.0003691104,0.0003041444,0.00007924528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005775976,"about_ca_system_score_gemma":0.00002266374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006608473,"about_ca_topic_score_gemma":0.00000480493,"domain_scores_codex":[0.9991345,0.0001056182,0.0001235244,0.0002879341,0.0001734734,0.000174943],"domain_scores_gemma":[0.9992894,0.0002568666,0.00005708535,0.0003506748,0.00001229302,0.0000336897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001025544,0.0001751685,0.4991068,0.0001159593,0.00002147869,0.000012513,0.2810644,0.008775385,0.0007506614,0.0008362759,0.001807553,0.2073236],"study_design_scores_gemma":[0.0004719178,0.0006052189,0.09526455,0.0001213743,0.000003138996,0.000005787244,0.001525343,0.03937981,0.001138718,0.0002488735,0.8609495,0.0002857422],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904705,0.0001628549,0.005274409,0.0004184313,0.000460915,0.0002601071,9.306991e-8,0.00007593803,0.002876792],"genre_scores_gemma":[0.990818,0.00007580529,0.00511881,0.00009429089,0.00003268895,0.00002857748,8.362761e-7,0.000006971262,0.003823973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8591419,"threshold_uncertainty_score":0.3551191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008803049092976366,"score_gpt":0.2738986942589993,"score_spread":0.265095645166023,"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."}}