{"id":"W2767226152","doi":"10.5539/elt.v10n12p88","title":"Effects of Electronic Reading Environments’ Structure on L2 Reading Comprehension","year":2017,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading comprehension; Reading (process); Psychology; Test (biology); Test of English as a Foreign Language; Language proficiency; Mathematics education; Comprehension; Linguistics; Computer science; Language assessment","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":[0.0009808069,0.0004388512,0.0002619839,0.0005206213,0.0002636927,0.001256293,0.0002774304,0.0003526409,0.003141428],"category_scores_gemma":[0.01351382,0.0002318088,0.0002766354,0.0002838019,0.0005256685,0.001096803,0.001157975,0.0004062827,0.0003023274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002123588,"about_ca_system_score_gemma":0.0002582304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004630238,"about_ca_topic_score_gemma":0.0006378003,"domain_scores_codex":[0.998899,0.0004927614,0.0001247108,0.0001969175,0.0002114443,0.00007513339],"domain_scores_gemma":[0.9808143,0.01338615,0.003122204,0.0008730554,0.0009542833,0.0008499146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005748218,0.004704616,0.6676263,0.0004572853,0.0003083403,0.001959869,0.01935125,0.0021502,0.1736766,0.0005939709,0.000385671,0.1230378],"study_design_scores_gemma":[0.0001352577,0.005842891,0.9611216,0.00005715958,0.0001107893,0.0006256711,0.004987597,0.00172302,0.02369525,0.0004832744,0.001171154,0.0000463731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990497,0.00002294054,0.0002354573,0.00001110793,0.000001349215,0.0000124154,0.00001174306,0.00001326573,0.000641929],"genre_scores_gemma":[0.9988445,0.00003181942,0.000627626,0.00001086593,0.000003259794,0.00001962691,0.00004050734,0.000007689138,0.0004141571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003141428,"threshold_uncertainty_score":0.01050913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029524372995672,"score_gpt":0.3301261645974926,"score_spread":0.3098309208675358,"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."}}