{"id":"W3207161702","doi":"10.23977/aetp.2021.57027","title":"Design of Intelligent Education Service Robots for Big Data","year":2021,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robot; Computer science; Service robot; Scheme (mathematics); Artificial intelligence; Service (business); Phrase; Algorithm; Sentence; Computer vision; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.00008356178,0.00008342432,0.0001371573,0.0002914488,0.00002617485,0.000003044549,0.0002812243,0.0001784376,0.00001562887],"category_scores_gemma":[0.0001202864,0.0000913988,0.000007994814,0.0005520757,0.0001226603,0.0001036902,0.00006081845,0.0001191334,0.000002582755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001458024,"about_ca_system_score_gemma":0.00009188637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001487842,"about_ca_topic_score_gemma":0.000044924,"domain_scores_codex":[0.9993957,0.00001117131,0.0001966051,0.0002328949,0.00002936331,0.0001342539],"domain_scores_gemma":[0.9992514,0.0001872922,0.00003650297,0.0004261981,0.00008668183,0.00001197323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003442971,0.0003858344,0.01054961,0.0002929412,0.00005815856,0.000001094393,0.0001738096,0.005138641,0.003581901,0.1971638,0.005151841,0.7774679],"study_design_scores_gemma":[0.0003360967,0.00007400304,0.003602725,0.00007650439,0.00001623846,0.0001009575,0.001288813,0.001012405,0.006614939,0.8101496,0.1765037,0.0002241077],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1311506,0.23195,0.5670812,0.05015572,0.01404482,0.0009488098,0.0001099851,0.0005299103,0.004029026],"genre_scores_gemma":[0.860922,0.02610968,0.1112416,0.0007462485,0.0002249403,0.0003770193,0.000238401,0.00002625307,0.0001139226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7772438,"threshold_uncertainty_score":0.3727135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06058117963246588,"score_gpt":0.356163955454767,"score_spread":0.2955827758223011,"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."}}