{"id":"W3178059983","doi":"","title":"Which factors affect the reading of Chinese characters in normal peripheral vision?","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Affect (linguistics); Peripheral; Peripheral vision; Reading (process); Psychology; Optometry; Neuroscience; Cognitive psychology; Communication; Computer science; Medicine; Artificial intelligence; Linguistics; Internal medicine; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006783912,0.0001030068,0.0001481872,0.00005182384,0.00004531157,0.0000263974,0.0001404019,0.00008483114,0.480992],"category_scores_gemma":[0.0004001192,0.0000707097,0.00007624175,0.0003946339,0.000005336587,0.00008606081,0.00005260886,0.0001871353,0.0008005333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002802259,"about_ca_system_score_gemma":0.00003557516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002351394,"about_ca_topic_score_gemma":0.0002748553,"domain_scores_codex":[0.999197,0.000169414,0.0001609939,0.0001859409,0.0001131347,0.0001735354],"domain_scores_gemma":[0.9993539,0.0002060829,0.00005863459,0.0002638039,0.00007734398,0.00004016364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003470322,0.0007207011,0.4998965,0.0002673134,0.0001329637,0.0001950556,0.05953137,0.00009536042,0.01580156,0.0001714347,0.4152136,0.007627141],"study_design_scores_gemma":[0.0002789065,0.00004558514,0.9933444,0.000135808,0.00000186843,0.000009998424,0.0006390162,0.00005240389,0.0000978117,0.000005580164,0.005303433,0.00008524551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747568,0.00007355313,6.418189e-7,0.0002327149,0.0002121259,0.0001544217,0.008280252,0.00003189054,0.01625761],"genre_scores_gemma":[0.9899366,8.900091e-7,0.000004022621,0.0001790398,0.00006385275,0.00004791241,0.008450734,0.00001230643,0.001304564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4934478,"threshold_uncertainty_score":0.9999775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03877919163049766,"score_gpt":0.3461721076802367,"score_spread":0.3073929160497391,"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."}}