{"id":"W4412459585","doi":"10.1167/jov.25.9.2196","title":"Temporal Error Monitoring in Temporal Order Judgements: Support for a Metacognitive STEARC Effect","year":2025,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Metacognition; Psychology; Cognitive psychology; Order (exchange); Neuroscience; Cognition","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":[],"consensus_categories":[],"category_scores_codex":[0.001380605,0.0001691439,0.0004065763,0.0004768755,0.00008242288,0.00004661266,0.0001756011,0.0001079635,0.0002441986],"category_scores_gemma":[0.0005646233,0.0001298659,0.0001547875,0.0004749409,0.00003761405,0.0002476441,0.00005119601,0.0003994107,0.00003852773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005501083,"about_ca_system_score_gemma":0.0001237727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002750302,"about_ca_topic_score_gemma":0.000004910298,"domain_scores_codex":[0.9984226,0.0002682644,0.0005667182,0.0002153481,0.0002507464,0.0002762827],"domain_scores_gemma":[0.9984964,0.0004072456,0.0003599052,0.00008562103,0.0005872782,0.00006353834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006385188,0.001298651,0.7058621,0.0003697814,0.000684079,0.0002434981,0.002013675,0.0000182564,0.002768561,0.0001272568,0.005825502,0.2744035],"study_design_scores_gemma":[0.01637907,0.01329912,0.9059727,0.002350065,0.0004577893,0.00006426735,0.00458815,0.00006577154,0.005240228,0.002125124,0.04896119,0.0004965477],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867202,0.0006486939,0.00526008,0.0005721277,0.001871904,0.0004771354,0.000007769425,0.0000201365,0.004421964],"genre_scores_gemma":[0.994716,0.00001070998,0.0007355952,0.0001726417,0.0002226324,0.00003657605,0.000006036395,0.0000187472,0.004081071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2739069,"threshold_uncertainty_score":0.5295779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03478744237412346,"score_gpt":0.4375536724844836,"score_spread":0.4027662301103601,"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."}}