{"id":"W2074213764","doi":"10.1167/12.9.413","title":"Reading unsegmented text: The impact on fixation location and duration","year":2012,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Fixation (population genetics); Word lists by frequency; Computer science; Psychology; Speech recognition; Mathematics; Natural language processing; Medicine; Population","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005559211,0.0005095782,0.0006837952,0.000447834,0.0002949175,0.0009662004,0.0006245638,0.0007503573,0.008257611],"category_scores_gemma":[0.007971062,0.000277613,0.0003342537,0.0003403356,0.0004756418,0.0008152692,0.0004871761,0.0006798286,0.0005069625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005352691,"about_ca_system_score_gemma":0.000240778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0022722,"about_ca_topic_score_gemma":0.002334144,"domain_scores_codex":[0.9991201,0.0001609734,0.00009402185,0.0003234556,0.0002158278,0.00008572028],"domain_scores_gemma":[0.9899255,0.007593084,0.001278811,0.0003611126,0.0003980757,0.0004433636],"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":[0.008075777,0.0005072728,0.00473514,0.0002643583,0.0000462088,0.0002616225,0.0005338055,0.0001141374,0.9725124,0.0001241042,0.0001530715,0.01267208],"study_design_scores_gemma":[0.0005679154,0.007773422,0.7244622,0.00008333705,0.000275813,0.0006492652,0.0005849185,0.002268053,0.2608813,0.0006008708,0.001760936,0.00009205553],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963734,0.000582932,0.0007042895,0.00007023691,0.00004989499,0.00004245896,0.0002026249,0.00004645946,0.001927766],"genre_scores_gemma":[0.9951184,0.0002501987,0.001810833,0.00009615901,0.00003235739,0.0001089793,0.0002505552,0.0001665143,0.00216603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008257611,"threshold_uncertainty_score":0.02762443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354337362916504,"score_gpt":0.3068774427379788,"score_spread":0.2933340691088138,"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."}}