{"id":"W4385874784","doi":"10.5430/wjel.v13n7p307","title":"The Effects of Bubble Map and Tree Map Method in CEFR Reading Comprehension","year":2023,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Educational Methods and Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading comprehension; Comprehension; Tree (set theory); Reading (process); Mathematics education; Computer science; Sample (material); Test (biology); Data collection; Artificial intelligence; Mathematics; Statistics; Linguistics; Chromatography; Chemistry","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":[0.001151806,0.00006879231,0.000190652,0.0003863797,0.00005116547,0.00003480397,0.0004189138,0.00003351839,0.00000165835],"category_scores_gemma":[0.001246427,0.00004726427,0.0000461228,0.0006168908,0.00003979389,0.0001354395,0.0001494045,0.0002440899,0.000001332302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002285859,"about_ca_system_score_gemma":0.00003294745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001714189,"about_ca_topic_score_gemma":0.00005106134,"domain_scores_codex":[0.9990753,0.000218394,0.0002758522,0.0001069516,0.0001666932,0.0001568295],"domain_scores_gemma":[0.9969604,0.002434814,0.0002028043,0.0002113473,0.0001485049,0.00004210372],"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":[0.00004224183,0.0001319537,0.007008968,0.0003247802,0.00008442298,0.0003909976,0.02801005,0.00006527176,0.03991759,0.1921325,0.008868456,0.7230228],"study_design_scores_gemma":[0.008333416,0.001801283,0.182039,0.004457389,0.000160924,0.0002925502,0.02970229,0.01132288,0.2173342,0.2415724,0.3016242,0.001359417],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9217743,0.01895223,0.03887251,0.007930786,0.009087123,0.0003885887,0.000002379059,0.0001748836,0.002817157],"genre_scores_gemma":[0.6425017,0.0003082132,0.3556468,0.0001240735,0.0004261708,0.000005735284,6.582553e-7,0.00001435172,0.000972319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7216634,"threshold_uncertainty_score":0.1927381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010028635875543,"score_gpt":0.3012206306861491,"score_spread":0.2911919948106061,"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."}}