{"id":"W3176140167","doi":"10.3389/fcomm.2021.651769","title":"Text Complexity Modulates Cross-Linguistic Sentence Integration in L2 Reading","year":2021,"lang":"en","type":"article","venue":"Frontiers in Communication","topic":"Reading and Literacy Development","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Harvard Graduate School of Education; National Institutes of Health","keywords":"Sentence; Linguistics; Psychology; Fluency; Reading (process); Reading comprehension; Linguistic sequence complexity; Comprehension; Computer science; Noun phrase; Eye tracking; Natural language processing; Noun; Artificial intelligence; Mathematics education","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004014592,0.0002480025,0.0002485913,0.000300331,0.000143349,0.0008161386,0.0001614452,0.0002365128,0.00217321],"category_scores_gemma":[0.00354397,0.0002182999,0.0002242143,0.0001385054,0.0002373767,0.0004886285,0.0006215906,0.0004153108,0.0002877059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002209322,"about_ca_system_score_gemma":0.0002449084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002042561,"about_ca_topic_score_gemma":0.002994786,"domain_scores_codex":[0.9996537,0.00009096439,0.00002051162,0.0001196458,0.00007166761,0.00004360766],"domain_scores_gemma":[0.9985659,0.0005915919,0.0004626272,0.00007082673,0.0001680422,0.0001410889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001500737,0.001142565,0.2277422,0.0003878679,0.0001778292,0.0007712124,0.01266552,0.0003278605,0.7085713,0.0004708742,0.0004054137,0.04583663],"study_design_scores_gemma":[0.00002310986,0.0004745328,0.9803029,0.00003034653,0.00005443971,0.0001512598,0.001112918,0.0009199147,0.01622103,0.0001890526,0.0005070133,0.00001338746],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989296,0.00005988419,0.0003142679,0.00001542754,0.000001698982,0.000008171522,0.00003890482,0.00001471348,0.0006173536],"genre_scores_gemma":[0.9985985,0.00006481577,0.0006447764,0.00001864598,0.00000251589,0.00002109999,0.00009754685,0.00002099041,0.0005310067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00217321,"threshold_uncertainty_score":0.007270157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04621171840313454,"score_gpt":0.35377192895742,"score_spread":0.3075602105542855,"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."}}