{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008841831,0.000155742,0.0002549018,0.000142249,0.00005357949,0.00008430656,0.001817073,0.0003605705,0.00494514],"category_scores_gemma":[0.004436473,0.0001090421,0.00006447535,0.0003716688,0.0002516724,0.0003622566,0.0006511025,0.0006493874,0.0006740686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000491771,"about_ca_system_score_gemma":0.0002513709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002459321,"about_ca_topic_score_gemma":0.00002744127,"domain_scores_codex":[0.9975418,0.000189784,0.0003749375,0.0004240735,0.001113182,0.0003562493],"domain_scores_gemma":[0.9983483,0.0002814097,0.0001019456,0.0008516884,0.0000985278,0.0003181217],"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":[0.000001744781,0.0003488614,0.04929895,0.00003088562,0.00002948127,0.000007113108,0.005009834,0.00005359712,0.00009583148,0.001174494,0.03816982,0.9057794],"study_design_scores_gemma":[0.0005807269,0.0005479185,0.01980967,0.0004584433,0.00001204937,0.00008427836,0.004296982,0.138809,0.001282858,0.001987245,0.8314366,0.0006941902],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8855674,0.0001963611,0.0859726,0.02409122,0.0006080256,0.0005599126,3.335884e-7,0.0009024907,0.002101714],"genre_scores_gemma":[0.9862229,0.00002602165,0.01043578,0.0009899316,0.0001017919,0.0001807526,0.000002305503,0.00001664721,0.002023862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9050852,"threshold_uncertainty_score":0.9959645,"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."}}