{"id":"W2794119612","doi":"10.4018/ijcallt.2018010101","title":"Pedagogical Insights into Hyper-Immersive Virtual World Language Learning Environments","year":2018,"lang":"en","type":"article","venue":"International Journal of Computer-Assisted Language Learning and Teaching","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Affordance; Avatar; Metaverse; Language acquisition; Autonomy; Computer science; Process (computing); Relevance (law); Human–computer interaction; Psychology; Virtual reality; Mathematics education","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":[],"consensus_categories":[],"category_scores_codex":[0.0008255064,0.0002750412,0.0003596096,0.0005553195,0.000881914,0.0005410237,0.0004230368,0.00007567403,0.0005264152],"category_scores_gemma":[0.000287311,0.0002308722,0.0001834594,0.00003510597,0.000258172,0.0004427942,0.0002153927,0.00219452,0.00005710574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001169562,"about_ca_system_score_gemma":0.00003313888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002669388,"about_ca_topic_score_gemma":0.0001017092,"domain_scores_codex":[0.9974574,0.0007384121,0.0005634191,0.0002998784,0.0006593462,0.0002814949],"domain_scores_gemma":[0.9985267,0.0004464775,0.0006330456,0.0001024419,0.0001289065,0.0001624166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001593921,0.000224698,0.004685857,0.0000157931,0.0004627976,0.0004634991,0.5802904,0.0006496384,0.004785319,0.007884152,0.0002555579,0.4001229],"study_design_scores_gemma":[0.002148893,0.001826406,0.002888903,0.000758511,0.0001259275,0.0004758453,0.1410774,0.00621043,0.0003071892,0.00008685466,0.8434353,0.0006583115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756967,0.0008038083,0.00992112,0.0003423866,0.001499559,0.00004989423,0.000001014219,0.00007624646,0.01160923],"genre_scores_gemma":[0.9798248,0.0000234878,0.001658038,0.000340394,0.005453773,0.000001234786,0.00002252979,0.00004147684,0.01263424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8431798,"threshold_uncertainty_score":0.953422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0234624594011868,"score_gpt":0.301329366859477,"score_spread":0.2778669074582902,"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."}}