{"id":"W3016912625","doi":"10.3968/11554","title":"Review of the Studies on Multimedia Annotation in China Over the Past Two Decades","year":2020,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Annotation; Computer science; Vocabulary; Comprehension; Reading comprehension; Multimedia; Reading (process); Empirical research; Active listening; Linguistics; Artificial intelligence; Psychology; Communication","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":[0.0002113067,0.00006947344,0.0001317881,0.00002800408,0.00004971668,0.000009813652,0.0002235962,0.00001938111,7.312501e-7],"category_scores_gemma":[0.0002750234,0.00003291837,0.00002057758,0.0004795924,0.000111286,0.00007251252,0.0001647562,0.0001944839,3.54732e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001177122,"about_ca_system_score_gemma":0.000009656786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002121524,"about_ca_topic_score_gemma":0.00001594713,"domain_scores_codex":[0.9994885,0.00008277548,0.0001413104,0.0001381237,0.00008222947,0.00006702125],"domain_scores_gemma":[0.9995709,0.0001782352,0.0000617562,0.0001517572,0.00002998366,0.000007342172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00001628532,0.0001619396,0.03674847,0.004101327,0.0001883795,0.00003825795,0.7882078,0.00002887796,0.0002769039,0.1123128,0.02280272,0.03511629],"study_design_scores_gemma":[0.002355734,0.0004772746,0.8471878,0.05010655,0.00007686001,0.0000243103,0.05887752,0.001124096,0.00209693,0.02256447,0.01438763,0.0007208759],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3487546,0.6101073,0.00001539125,0.04022118,0.0003222373,0.0002690452,0.000005110461,0.00001662998,0.0002885836],"genre_scores_gemma":[0.9758498,0.01701258,0.0006975935,0.006300373,0.00007735089,0.00003349855,0.000001370614,0.000001880422,0.00002552594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8104393,"threshold_uncertainty_score":0.1342372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115062190806473,"score_gpt":0.3758612067252802,"score_spread":0.3547105848172155,"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."}}