{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000285316,0.0001688484,0.0002237379,0.00003926048,0.0001951372,0.0003781261,0.0001395256,0.00002694006,0.0008751085],"category_scores_gemma":[0.0001434923,0.0001396257,0.00009685523,0.0000485462,0.00007242207,0.0003878456,0.0000280077,0.0001875471,0.001399369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001469002,"about_ca_system_score_gemma":0.0001830538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005546497,"about_ca_topic_score_gemma":0.00003568448,"domain_scores_codex":[0.9989359,0.0001174243,0.0002815585,0.0002285137,0.0002444326,0.0001921079],"domain_scores_gemma":[0.9993039,0.00004016759,0.0001528141,0.0002512781,0.0001540608,0.00009773452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006341389,0.0003269245,0.0002026155,0.001070069,0.00004493087,0.000003080136,0.04202068,0.00002168562,0.000002340622,0.2991414,0.5845668,0.07259309],"study_design_scores_gemma":[0.0001048842,0.00004293745,0.00004209877,0.001194009,0.000044503,0.000005150669,0.004963974,0.00002212749,0.00000259772,0.004349231,0.989035,0.0001935026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0467899,0.2263228,0.0004084695,0.03645011,0.003292339,0.000768213,0.00002968792,0.0005944527,0.6853441],"genre_scores_gemma":[0.9037616,0.001926437,0.0001509317,0.00498923,0.00114907,0.00005997498,0.0003509731,0.00003288874,0.08757891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8569717,"threshold_uncertainty_score":0.9993781,"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."}}