{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001268352,0.0007012198,0.0004775301,0.000842927,0.0002670114,0.0005525282,0.0006865184,0.001520057,0.006899348],"category_scores_gemma":[0.01192188,0.0002697758,0.0004290728,0.0003326382,0.0008084679,0.001286933,0.0009421293,0.001427858,0.0006586243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000272436,"about_ca_system_score_gemma":0.0003418807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001054106,"about_ca_topic_score_gemma":0.001127485,"domain_scores_codex":[0.9994331,0.0002263151,0.00002757559,0.0001397373,0.0001152511,0.00005810524],"domain_scores_gemma":[0.9954026,0.003553603,0.0002169482,0.0005702517,0.00009903876,0.0001575253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01091576,0.0009777519,0.0366266,0.0006570968,0.0002813834,0.0008789455,0.0006891045,0.0154979,0.8167442,0.05659805,0.001732055,0.05840125],"study_design_scores_gemma":[0.001629271,0.003687347,0.3023593,0.000129211,0.0002594067,0.002208458,0.0004341598,0.4153905,0.137091,0.1340452,0.002588583,0.0001777103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9551523,0.0001883629,0.03110937,0.0001693979,0.00005921135,0.0001677542,0.0008419206,0.0004813741,0.01183023],"genre_scores_gemma":[0.9930118,0.00004222912,0.005716622,0.0001007882,0.000009267841,0.00007211145,0.0002898535,0.00009484567,0.0006624697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006899348,"threshold_uncertainty_score":0.02308065,"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."}}