{"id":"W4386249097","doi":"10.1167/jov.23.9.5532","title":"Are vividness judgments in mental imagery correlated with perceptual thresholds?","year":2023,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Aesthetic Perception and Analysis","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire en Santé Mentale de Québec; Université de Montréal","funders":"","keywords":"Mental image; Psychology; Perception; Contrast (vision); Neuroimaging; Cognitive psychology; Visual perception; Set (abstract data type); Cognition; Artificial intelligence; Computer science; Neuroscience","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":[0.001933025,0.0003545979,0.000399318,0.0009899144,0.0001885346,0.00127804,0.000492934,0.0006998009,0.002409669],"category_scores_gemma":[0.0310762,0.0004271244,0.0002977795,0.0006180675,0.0009615691,0.001140162,0.001154144,0.0008666533,0.0003925869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002305197,"about_ca_system_score_gemma":0.0001393751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001274965,"about_ca_topic_score_gemma":0.001269296,"domain_scores_codex":[0.9988906,0.0001866488,0.00009469109,0.0004204006,0.0002930313,0.0001146338],"domain_scores_gemma":[0.9847903,0.005799517,0.006052726,0.00167205,0.001030459,0.0006549286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001749046,0.0002889165,0.8387346,0.0004618965,0.0004908743,0.0001992003,0.005642151,0.001295349,0.09849282,0.001669016,0.0008050688,0.05017098],"study_design_scores_gemma":[0.00001336928,0.0001046312,0.9950777,0.00002056571,0.00002779514,0.000182341,0.0002484032,0.0007238358,0.002228484,0.001163793,0.0001869678,0.00002219657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991984,0.0003525091,0.004487476,0.00008865733,0.00001863775,0.00004159485,0.0002850098,0.00003513178,0.002706985],"genre_scores_gemma":[0.9982662,0.00005857784,0.001219394,0.00003145839,0.00001064312,0.00003122769,0.0002132115,0.00001598434,0.0001535031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002409669,"threshold_uncertainty_score":0.01022291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0389340926850884,"score_gpt":0.3174452042259516,"score_spread":0.2785111115408632,"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."}}