{"id":"W1993447062","doi":"10.3758/bf03193753","title":"Eye movements as direct tests of the GO model for the missing-letter effect","year":2007,"lang":"en","type":"article","venue":"Perception & Psychophysics","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Moncton","keywords":"Eye movement; Reading (process); Missing data; Psychology; Computer science; Cognitive psychology; Function (biology); Artificial intelligence; Speech recognition; Machine learning; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000213592,0.0001774073,0.0001625342,0.00002395599,0.0003835067,0.00002226553,0.0003568814,0.00005364322,0.00001961617],"category_scores_gemma":[0.0000591213,0.00009220489,0.0002118796,0.0002263932,0.0002924991,0.00009503002,0.0000547552,0.0001655501,0.00006318829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002265578,"about_ca_system_score_gemma":0.000005965652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001016,"about_ca_topic_score_gemma":0.000007187831,"domain_scores_codex":[0.9988185,0.00006082236,0.0002157735,0.0003531205,0.0002764138,0.0002754],"domain_scores_gemma":[0.9991103,0.0002826476,0.0001271851,0.000403869,0.00004228114,0.00003366681],"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":[0.0001242138,0.0001464271,0.002841096,0.00001101206,0.000006257944,4.085041e-7,0.0004155712,0.00005792729,0.960915,0.00002029803,0.006021266,0.02944049],"study_design_scores_gemma":[0.003079092,0.0009552673,0.485525,0.0001202108,0.0002628046,0.00000665376,0.0001170557,0.006043906,0.4812149,0.01172028,0.01016511,0.0007897918],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916125,0.00001115453,0.00106492,0.003671929,0.0009746365,0.0006461528,0.0000182647,0.0000414067,0.001959068],"genre_scores_gemma":[0.9860825,0.00001751458,0.00006768317,0.009757799,0.0002303142,0.00004699397,8.954494e-7,0.00001945295,0.003776882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4826839,"threshold_uncertainty_score":0.3760006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09095172504302912,"score_gpt":0.4018853161294315,"score_spread":0.3109335910864023,"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."}}