{"id":"W1542194102","doi":"10.5539/elt.v8n7p157","title":"Robot vs. Human Teacher: Instruction in the Digital Age for ESL Learners","year":2015,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Avatar; Psychology; The Internet; Function (biology); Mobile device; Language acquisition; Pedagogy; Mathematics education; Multimedia; Computer science; Human–computer interaction; World Wide Web","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":[0.001482627,0.0001808206,0.0002556547,0.0005828189,0.001629624,0.003785118,0.0006117366,0.001207091,0.00976441],"category_scores_gemma":[0.005056679,0.00009922405,0.0001746962,0.000282918,0.001810491,0.004426852,0.003089319,0.0008536262,0.00120226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000971311,"about_ca_system_score_gemma":0.001431656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135607,"about_ca_topic_score_gemma":0.002201332,"domain_scores_codex":[0.9988698,0.0005927362,0.00004553922,0.000148076,0.0001960539,0.0001478602],"domain_scores_gemma":[0.9975445,0.001360602,0.0002496127,0.0001052185,0.0001725062,0.00056754],"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":[0.0008934101,0.003719531,0.1004803,0.001591116,0.00002713218,0.002378602,0.3811595,0.0002306834,0.005263625,0.04243087,0.007662262,0.4541629],"study_design_scores_gemma":[0.000176197,0.002816226,0.0824621,0.001267713,0.000106863,0.002775536,0.6941331,0.001401237,0.005428715,0.01132779,0.197997,0.0001075102],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9372894,0.001343796,0.002280532,0.003930408,0.00008330907,0.00006375107,0.00004343711,0.00006821357,0.05489723],"genre_scores_gemma":[0.9919291,0.0004918458,0.001189263,0.0004308734,0.00001369285,0.00004576065,0.00001671918,0.00001425266,0.00586851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00976441,"threshold_uncertainty_score":0.03266519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02868786648566727,"score_gpt":0.3388815041256697,"score_spread":0.3101936376400024,"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."}}