{"id":"W4410716923","doi":"10.1177/17470218251347264","title":"No wrap-up effect in Chinese reading: Evidence from eye movements","year":2025,"lang":"en","type":"article","venue":"Quarterly Journal of Experimental Psychology","topic":"Reading and Literacy Development","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Sentence; Reading (process); Mandarin Chinese; Eye movement; Psychology; Linguistics; Affect (linguistics); Sentence processing; Selection (genetic algorithm); Cognitive psychology; Chinese characters; Computer science; Natural language processing; Communication; Artificial intelligence","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":[0.0008711723,0.0003633941,0.0003291408,0.0006151053,0.000289967,0.0004865589,0.0003677517,0.0004476357,0.003396788],"category_scores_gemma":[0.008882687,0.0003591709,0.0002470418,0.0004450786,0.0009891848,0.0007038654,0.0005759548,0.0003946764,0.0003328174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002847923,"about_ca_system_score_gemma":0.0004336007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00408288,"about_ca_topic_score_gemma":0.004453142,"domain_scores_codex":[0.9994779,0.00007745789,0.00006279249,0.0001673686,0.0001680089,0.00004646576],"domain_scores_gemma":[0.9913152,0.004986851,0.001649262,0.001195656,0.0006354531,0.0002176979],"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":[0.005470975,0.0005585336,0.3402435,0.001913461,0.0004227347,0.002725441,0.009034639,0.0005194813,0.5162207,0.001414126,0.0007559332,0.1207203],"study_design_scores_gemma":[0.00003582962,0.0002552045,0.9906389,0.00001023765,0.00004020055,0.0003722955,0.0001727271,0.0001866598,0.007841188,0.0001888477,0.0002455921,0.00001222747],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959673,0.0003565466,0.0004765538,0.00004674936,0.000006869525,0.00003126665,0.0001203482,0.00002275941,0.0029717],"genre_scores_gemma":[0.9987985,0.0001690894,0.0004945464,0.00003877117,0.000008472774,0.00002484002,0.0001028665,0.00001201127,0.0003510326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00408288,"threshold_uncertainty_score":0.01136339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678931227608017,"score_gpt":0.4019690391005084,"score_spread":0.3851797268244282,"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."}}