{"id":"W2023975682","doi":"10.5430/wje.v1n2p172","title":"M-learning: M-learning Applications, Students Input for M-learning in Science Instruction","year":2011,"lang":"en","type":"article","venue":"World Journal of Education","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile device; Mathematics education; Implementation; Descriptive statistics; Psychology; Computer science; Electronic learning; Educational technology; Instructional design; Science learning; M-learning; Science education; World Wide Web; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002821265,0.0001632676,0.0002212094,0.001791787,0.0004440648,0.0002684436,0.001381963,0.00005772474,0.0000298014],"category_scores_gemma":[0.0008762647,0.0001723987,0.00008128377,0.002391153,0.000114247,0.001619821,0.0001309579,0.0008667733,0.00002019722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005225906,"about_ca_system_score_gemma":0.001334661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002670472,"about_ca_topic_score_gemma":0.00001064844,"domain_scores_codex":[0.9976545,0.0002332537,0.0007347903,0.000385675,0.0006450526,0.0003467421],"domain_scores_gemma":[0.997303,0.0001780755,0.001162903,0.0002879962,0.0009002464,0.0001677893],"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":[0.00004409335,0.0007463305,0.4665253,0.00005010018,0.00001725782,8.055455e-7,0.01291027,0.004176967,0.001207814,0.01323985,0.0002423286,0.5008389],"study_design_scores_gemma":[0.001958256,0.001291233,0.7900568,0.0005188813,0.00005641412,0.0002143394,0.007877118,0.008096642,0.003341222,0.012066,0.1737589,0.0007642496],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8108586,0.0003480787,0.1776581,0.0008021012,0.003697785,0.0009608111,1.187287e-7,0.0001364524,0.005537968],"genre_scores_gemma":[0.9319402,0.00004872582,0.0658662,0.00006961339,0.000376974,0.0001407084,0.000002716479,0.00001890715,0.001535977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5000747,"threshold_uncertainty_score":0.7030216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816385788402181,"score_gpt":0.3126730968500757,"score_spread":0.2945092389660539,"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."}}