{"id":"W2169838563","doi":"10.1167/13.11.14","title":"Subjectively homogeneous noise over written text as a tool to investigate the perceptual mechanisms involved in reading","year":2013,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Reading and Literacy Development","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Legibility; Perception; Noise (video); Computer science; Natural language processing; Reading (process); Artificial intelligence; Stimulus (psychology); Probabilistic logic; Speech recognition; Psychology; Cognitive psychology; Pattern recognition (psychology); Communication; Linguistics; Image (mathematics)","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":[0.001058512,0.0004255335,0.000323633,0.0004457454,0.0002349592,0.0005049389,0.000283482,0.0004183813,0.002360754],"category_scores_gemma":[0.008791341,0.0001742341,0.000202189,0.0002121866,0.0004890698,0.0006744036,0.0005577708,0.0004614246,0.0002890751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000188563,"about_ca_system_score_gemma":0.0001083595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003400147,"about_ca_topic_score_gemma":0.0006807992,"domain_scores_codex":[0.9990579,0.0002641426,0.00008971994,0.0002550896,0.0003025214,0.00003060709],"domain_scores_gemma":[0.9948214,0.002916824,0.000948956,0.0005621085,0.000533992,0.0002165963],"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":[0.001328835,0.0003585315,0.01614963,0.00032956,0.00005488494,0.0002136176,0.001897749,0.001009547,0.9612181,0.0005259634,0.0001366011,0.01677687],"study_design_scores_gemma":[0.0003475491,0.01337826,0.6096708,0.0000993006,0.000268217,0.001271665,0.001538437,0.01488984,0.3518546,0.003741468,0.002796141,0.0001436366],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850127,0.0001158538,0.01321203,0.00001916847,0.00001449801,0.0001046414,0.00008820715,0.00006377495,0.001369308],"genre_scores_gemma":[0.9866144,0.00005260126,0.01203911,0.00004048577,0.00001789272,0.0001464033,0.0001191565,0.00003639541,0.000933514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002360754,"threshold_uncertainty_score":0.007897556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609654155751466,"score_gpt":0.2967243173524025,"score_spread":0.2806277757948878,"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."}}