{"id":"W3125198333","doi":"10.29038/eejpl.2016.3.2.dol","title":"Word Skipping in Reading English as a Foreign Language: Evidence from Eye Tracking","year":2016,"lang":"en","type":"article","venue":"East European Journal of Psycholinguistics","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eye tracking; Reading (process); Eye movement; Fixation (population genetics); Psychology; Foreign language; Perception; Linguistics; Cognitive psychology; Cognition; Word lists by frequency; Computer science; Sentence; Artificial intelligence; Population; Mathematics education","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001551348,0.0002266208,0.0003186843,0.0002685756,0.00008084226,0.00009419917,0.0004921584,0.00005336546,0.0007178852],"category_scores_gemma":[0.0113526,0.0001707876,0.0001233714,0.0002992981,0.00008793164,0.0001574725,0.00005250157,0.0006777978,0.0004305736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004679937,"about_ca_system_score_gemma":0.00004335752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001696073,"about_ca_topic_score_gemma":0.000003826762,"domain_scores_codex":[0.9973493,0.000804351,0.0007920139,0.000330673,0.0003277536,0.0003958718],"domain_scores_gemma":[0.9976512,0.0005457802,0.0006732209,0.0002171497,0.0007347083,0.0001779741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001718854,0.0004825808,0.1394463,0.00006045773,0.0002867913,0.009469792,0.137796,0.0000417344,0.005333287,0.001542056,0.001076468,0.7027457],"study_design_scores_gemma":[0.01635728,0.003805318,0.7127261,0.03952773,0.0005555021,0.00088951,0.08661513,0.00004824355,0.001732672,0.00656428,0.1284215,0.002756698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8951128,0.001923963,0.01228295,0.0001770334,0.002404487,0.00008228089,0.000007480884,0.00006438357,0.08794462],"genre_scores_gemma":[0.9932007,0.0000960388,0.001011468,0.0002386484,0.004072316,0.000001270485,0.000001259638,0.00006968648,0.001308606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.699989,"threshold_uncertainty_score":0.9969752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04976747849507328,"score_gpt":0.3721157856590303,"score_spread":0.322348307163957,"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."}}