{"id":"W2000342775","doi":"10.5539/elt.v3n1p142","title":"The Application of Context Theory in English Teaching of Reading","year":2010,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"People's Government of Jilin Province","keywords":"Context (archaeology); Reading (process); Reading comprehension; Psychology; Linguistics; Comprehension; Context effect; Mathematics education; Test (biology); Test theory; Computer science","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":[0.001405745,0.0003852496,0.0004435919,0.001520344,0.001345584,0.002111245,0.0006795229,0.0008644925,0.003048823],"category_scores_gemma":[0.00522566,0.0002392439,0.0005123582,0.001112747,0.00176909,0.004286103,0.001846999,0.001408796,0.0003993492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142383,"about_ca_system_score_gemma":0.001710642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001884904,"about_ca_topic_score_gemma":0.00245535,"domain_scores_codex":[0.9975693,0.001505867,0.000109325,0.0002218783,0.0004696173,0.0001240669],"domain_scores_gemma":[0.9973526,0.001965218,0.0001157874,0.0001124841,0.0003548244,0.000099069],"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":[0.00007386282,0.0001507847,0.008472236,0.001349428,0.00004779182,0.0009910084,0.01956575,0.002424683,0.00570445,0.4006293,0.003325999,0.5572647],"study_design_scores_gemma":[0.00006415122,0.0006616706,0.02034221,0.002371602,0.0002166657,0.002571596,0.02048398,0.01460243,0.009826452,0.6702353,0.258471,0.000152836],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1263125,0.05296632,0.544716,0.01085076,0.001987115,0.0004933915,0.00008726436,0.000389735,0.262197],"genre_scores_gemma":[0.8371722,0.02080796,0.131076,0.0008160287,0.0006430529,0.0003174822,0.00005167366,0.00007102114,0.009044679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003048823,"threshold_uncertainty_score":0.01019937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004315786860955886,"score_gpt":0.2741259241652548,"score_spread":0.2698101373042989,"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."}}