{"id":"W2284066781","doi":"","title":"Learn Mandarin Chinese Online Through \"TalkToNative\" platform","year":2006,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mandarin Chinese; Computer science; Natural language processing; Linguistics; Artificial intelligence; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004373749,0.0007861059,0.0003302509,0.0002980309,0.0007516588,0.0007385376,0.0004729935,0.0004037613,0.0308232],"category_scores_gemma":[0.001122195,0.0001564456,0.0002692626,0.0002861859,0.0002238151,0.001607896,0.001017431,0.0003806008,0.007117013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002459968,"about_ca_system_score_gemma":0.0009741265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002718784,"about_ca_topic_score_gemma":0.005217717,"domain_scores_codex":[0.9998133,0.00003537957,0.00001261925,0.00004947584,0.00005066414,0.00003857296],"domain_scores_gemma":[0.9996701,0.0001261044,0.00001557607,0.00005459871,0.00006199555,0.00007160724],"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":[0.001689528,0.002417268,0.02966001,0.001015618,0.00007545577,0.001554584,0.01962602,0.002249636,0.1708574,0.01368428,0.05895281,0.6982175],"study_design_scores_gemma":[0.0007785134,0.006064239,0.1404765,0.0002760084,0.0006789537,0.001583568,0.02602652,0.05233422,0.3586416,0.03427227,0.3785192,0.0003483341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8167095,0.000115785,0.024747,0.0006182069,0.0001339735,0.000728505,0.001424468,0.004105614,0.151417],"genre_scores_gemma":[0.8643392,0.0001950167,0.0265465,0.0003986191,0.00005209165,0.0006721488,0.002225172,0.000313966,0.1052572],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0308232,"threshold_uncertainty_score":0.1031139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0214757238127836,"score_gpt":0.2816581303554203,"score_spread":0.2601824065426366,"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."}}