{"id":"W2372303899","doi":"","title":"Transition from E-learning to U-learning:An Interview with Prof.Kinshuk","year":2012,"lang":"en","type":"article","venue":"Kaifang jiaoyu yanjiu","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lifelong learning; Context (archaeology); Personalization; Sociology; Political science; Public relations; Computer science; World Wide Web; Pedagogy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008124246,0.0002724013,0.000258437,0.0001936077,0.0002677573,0.000263715,0.0007664767,0.000116485,0.0002254491],"category_scores_gemma":[0.0001124829,0.0002477211,0.00006745279,0.0006302024,0.00003690335,0.001446497,0.0001312257,0.0006226347,0.0009435656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001340124,"about_ca_system_score_gemma":0.00007308513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001946349,"about_ca_topic_score_gemma":0.00003009372,"domain_scores_codex":[0.9973933,0.0006445214,0.0002911015,0.0005974867,0.0004591644,0.0006144673],"domain_scores_gemma":[0.9985076,0.0001285577,0.0001654114,0.0006631805,0.0001253284,0.0004098756],"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":[0.00009223963,0.001457134,0.06681242,0.0002046179,0.0002009902,0.00002387258,0.2277104,0.02395988,0.007333933,0.0114252,0.004931957,0.6558474],"study_design_scores_gemma":[0.001415779,0.002453652,0.2659781,0.0008641977,0.0001284802,0.0001040786,0.005081651,0.04576434,0.004868744,0.0008511393,0.6703845,0.002105304],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4657602,0.0002427832,0.5238927,0.003957091,0.0008761203,0.0005546803,0.000001671907,0.0009182086,0.003796493],"genre_scores_gemma":[0.9632881,0.000007535193,0.03362968,0.001067548,0.0005971265,0.0001244054,0.00005778655,0.00005178931,0.001176082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6654525,"threshold_uncertainty_score":0.9999975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01883964049447218,"score_gpt":0.2633129378065999,"score_spread":0.2444732973121277,"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."}}