{"id":"W2019182036","doi":"10.3109/0142159x.2013.849800","title":"Left to their own devices: Medical learners’ use of mobile technologies","year":2013,"lang":"en","type":"article","venue":"Medical Teacher","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University","funders":"","keywords":"Mobile device; Medical education; MEDLINE; Mobile technology; Computer science; Medicine; Psychology; Multimedia; World Wide Web; Political science","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":[0.001709602,0.0001996322,0.0002760205,0.0006388467,0.001760563,0.002720559,0.0004212264,0.0009461836,0.002872702],"category_scores_gemma":[0.008923512,0.0002155666,0.0003004986,0.0003559435,0.001430836,0.00204378,0.002036572,0.001095755,0.0003661362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007896952,"about_ca_system_score_gemma":0.001334845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003341446,"about_ca_topic_score_gemma":0.005367011,"domain_scores_codex":[0.9989216,0.0004884471,0.00006850503,0.0000754971,0.0002707623,0.0001752359],"domain_scores_gemma":[0.9960907,0.002047027,0.0006643704,0.0001010654,0.0004195642,0.0006773428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001186286,0.0003187821,0.2833227,0.0003449394,0.00002868146,0.001474391,0.6564175,0.00008179552,0.001994531,0.0008508095,0.001478696,0.0535685],"study_design_scores_gemma":[0.00002186467,0.0005641202,0.1019064,0.0004201719,0.00006978428,0.003382664,0.8715587,0.0002968539,0.001389919,0.0004098592,0.01992294,0.00005655072],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954016,0.0004226699,0.0002137196,0.0008821047,0.00001215024,0.00001364773,0.00002030451,0.000006315199,0.003027471],"genre_scores_gemma":[0.9979833,0.0004940603,0.0001733594,0.00020503,0.000005981216,0.00001018743,0.00001198751,0.000003488253,0.001112602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003341446,"threshold_uncertainty_score":0.009610176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02527899480472033,"score_gpt":0.2800401971595196,"score_spread":0.2547612023547993,"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."}}