{"id":"W2263617044","doi":"10.29173/mruer318","title":"Language acquisition through digital games","year":2015,"lang":"en","type":"article","venue":"Mount Royal Undergraduate Education Review","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Contrast (vision); Conjunction (astronomy); Multimedia; Language acquisition; Mathematics education; Field (mathematics); Language education; Psychology; Artificial intelligence","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":[0.001491088,0.0002203829,0.000338668,0.001321762,0.0001875884,0.00122614,0.0004351037,0.0003236212,0.004259456],"category_scores_gemma":[0.003527394,0.00008363558,0.0002740084,0.0007584438,0.0004208483,0.001121306,0.001024078,0.0005305133,0.0006829388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006771339,"about_ca_system_score_gemma":0.001329083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002105668,"about_ca_topic_score_gemma":0.005468157,"domain_scores_codex":[0.9990304,0.0004435662,0.00009887593,0.00005896341,0.0002923242,0.00007591325],"domain_scores_gemma":[0.9985292,0.001066946,0.0001314393,0.00002600207,0.0001879589,0.00005850879],"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":[0.00008257258,0.0002279113,0.001173901,0.00772166,0.00005295967,0.0001955859,0.00126817,0.0001641864,0.001587286,0.00680168,0.003781051,0.9769429],"study_design_scores_gemma":[0.0001115063,0.001890991,0.02749933,0.0213223,0.00026438,0.002819211,0.005812868,0.0003463738,0.006619804,0.00428376,0.928991,0.00003846726],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1574736,0.6629244,0.00466064,0.004938977,0.0007154354,0.0002643428,0.0001379942,0.00009738326,0.1687873],"genre_scores_gemma":[0.4115829,0.5577214,0.005632751,0.001596851,0.0002922627,0.00018247,0.0001283238,0.00002508011,0.0228379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004259456,"threshold_uncertainty_score":0.01424932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03762650607989013,"score_gpt":0.2999802437859053,"score_spread":0.2623537377060152,"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."}}