{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001761452,0.0002410158,0.0004335042,0.001157211,0.001184153,0.004924793,0.0005375422,0.0008757489,0.005593966],"category_scores_gemma":[0.01278223,0.0001568147,0.0003143906,0.0006683745,0.000773494,0.001114626,0.003073565,0.001116779,0.0009409066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000814516,"about_ca_system_score_gemma":0.0006483133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002837681,"about_ca_topic_score_gemma":0.005355792,"domain_scores_codex":[0.9978839,0.0008851452,0.0001019975,0.0001782792,0.0005143585,0.0004363347],"domain_scores_gemma":[0.991065,0.003690223,0.001789181,0.0002896353,0.000757638,0.00240829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006229117,0.003883553,0.8267148,0.0002258732,0.0001164719,0.0005241784,0.06458195,0.0003955554,0.003930214,0.001349772,0.0007156503,0.09693902],"study_design_scores_gemma":[0.00003250231,0.001516498,0.9136492,0.000137068,0.00005233662,0.0003644082,0.07598206,0.0008308011,0.0007663668,0.001113391,0.005514464,0.0000409611],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949191,0.00008825158,0.0001823096,0.0001105734,0.000006020884,0.00001737903,0.00002179777,0.000007514494,0.004647007],"genre_scores_gemma":[0.9983984,0.00005843109,0.0001113356,0.00002015444,0.000005731325,0.00001262127,0.00002310332,0.000003269693,0.001366949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005593966,"threshold_uncertainty_score":0.01871365,"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."}}