{"id":"W1917726469","doi":"10.3968/7713","title":"The Application of Mobile Learning in College Experimental Teaching","year":2015,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Construct (python library); Session (web analytics); Computer science; Process (computing); Mathematics education; Mobile device; Higher education; Multimedia; Teaching method; Psychology; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001369018,0.000244421,0.0001275451,0.00146657,0.0004432533,0.001079325,0.0004533566,0.0004031142,0.002697037],"category_scores_gemma":[0.00609033,0.0001148305,0.0002315062,0.0008889917,0.0005199903,0.001070869,0.0008049296,0.000328718,0.0003254883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000597848,"about_ca_system_score_gemma":0.000484154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009197224,"about_ca_topic_score_gemma":0.001269751,"domain_scores_codex":[0.9991564,0.000411202,0.00004851967,0.0001279264,0.000139435,0.0001165412],"domain_scores_gemma":[0.99609,0.0025724,0.0002172981,0.0003719728,0.0004577457,0.0002905042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000850753,0.002196198,0.1546689,0.0005459107,0.00005373737,0.001457079,0.02124885,0.003061919,0.04710889,0.01132307,0.00137149,0.7561133],"study_design_scores_gemma":[0.000331915,0.008137612,0.6434031,0.0007325477,0.0004073721,0.00437379,0.0393418,0.05204474,0.1391789,0.01525399,0.09647209,0.0003222582],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608992,0.0002293099,0.027836,0.0001952026,0.00003285886,0.0002328799,0.00008160256,0.0001843798,0.01030848],"genre_scores_gemma":[0.9862874,0.00009654413,0.01242766,0.0000246723,0.00001497897,0.00006466361,0.00003743067,0.00001309866,0.001033652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002697037,"threshold_uncertainty_score":0.009022534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109944492500488,"score_gpt":0.3313213758555704,"score_spread":0.3203269266055216,"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."}}