{"id":"W4400729174","doi":"10.2139/ssrn.4894258","title":"Augmented Reality-Assisted Language Learning (ARALL)","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Augmented reality; Computer science; Psychology; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003078589,0.0004528759,0.0004482183,0.000409391,0.000401679,0.0007868577,0.002529998,0.0003735971,0.00002031884],"category_scores_gemma":[0.00008602872,0.00042855,0.0004073502,0.0006173243,0.00007036317,0.0001733915,0.00263355,0.01417259,0.000283163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00320782,"about_ca_system_score_gemma":0.005238637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004201553,"about_ca_topic_score_gemma":0.0007725294,"domain_scores_codex":[0.9945164,0.0004186801,0.0007231323,0.0009125681,0.0007367461,0.002692494],"domain_scores_gemma":[0.9978908,0.00008738124,0.0005482434,0.001107358,0.0001615017,0.0002046608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001579969,0.0001951895,0.00003762452,0.0001474186,0.001181813,0.00008305231,0.001645145,0.004168732,0.001132079,0.8261199,0.001669648,0.1636036],"study_design_scores_gemma":[0.0005394606,0.0001884427,0.0002544602,0.0003663874,0.0002213661,0.001632637,0.001434937,0.04326362,0.0002155699,0.9431916,0.007851033,0.0008404183],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009721619,0.01018819,0.9584593,0.01278164,0.0009571015,0.0005154518,0.0000156357,0.001044568,0.00631649],"genre_scores_gemma":[0.9779855,0.004680133,0.002494625,0.0002216623,0.0007884298,0.0001184048,0.0001230269,0.00009986874,0.01348834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9682639,"threshold_uncertainty_score":0.9998167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450653701260461,"score_gpt":0.2913910295426065,"score_spread":0.2768844925300019,"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."}}