{"id":"W2986349959","doi":"10.5539/elt.v12n12p67","title":"Language Testing in China: Past and Future","year":2019,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Guangdong University of Foreign Studies","keywords":"Professionalization; China; Psychology; Test (biology); Language assessment; Mainland China; Social science; Pedagogy; Sociology; Political science; Law","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":[0.004104258,0.0003750893,0.0003618904,0.003208669,0.001035484,0.002042898,0.0008313345,0.0008075432,0.002833513],"category_scores_gemma":[0.003849764,0.0001565226,0.0003740409,0.006806922,0.001619515,0.00280559,0.001079941,0.0007304939,0.0001803195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004416338,"about_ca_system_score_gemma":0.01726663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03417478,"about_ca_topic_score_gemma":0.02978676,"domain_scores_codex":[0.9986798,0.0002838177,0.0001717326,0.0001891351,0.0003807467,0.0002946777],"domain_scores_gemma":[0.9953229,0.001052969,0.000975454,0.0001473182,0.001411525,0.001089878],"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":[0.0002001073,0.0002539492,0.1746666,0.004902857,0.00008016222,0.001360868,0.00497778,0.0006775939,0.001310186,0.01865368,0.0178163,0.7751],"study_design_scores_gemma":[0.00006068603,0.0007270949,0.7422437,0.004164133,0.0002430511,0.002274004,0.02243538,0.002472113,0.001901809,0.00715905,0.2161767,0.0001423124],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.3985923,0.4631203,0.001824289,0.09313943,0.002233644,0.0001211999,0.0007945618,0.0001816268,0.03999271],"genre_scores_gemma":[0.7708071,0.214831,0.002104176,0.005762181,0.001092392,0.00008349199,0.0005211774,0.00002251988,0.004776066],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03417478,"threshold_uncertainty_score":0.06795168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004581191385425803,"score_gpt":0.2501977951349193,"score_spread":0.2456166037494935,"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."}}