{"id":"W4386244363","doi":"10.1167/jov.23.9.5843","title":"Scene and object false memory in a photo-realistic paradigm","year":2023,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Object (grammar); False memory; Cognitive psychology; Psychology; Encoding (memory); Computer science; Contrast (vision); Complement (music); Rapid serial visual presentation; Episodic memory; Computer vision; Artificial intelligence; Perception; Cognition; Recall; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007198188,0.00005817905,0.0001273224,0.0003666213,0.00004972126,0.00007632961,0.0001692534,0.0000334016,0.000006814404],"category_scores_gemma":[0.00007274695,0.00004580289,0.00004746133,0.0005623129,0.00001546238,0.0003581254,0.0000601007,0.0001248351,0.00002210044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003055861,"about_ca_system_score_gemma":0.00002853712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002026052,"about_ca_topic_score_gemma":0.00001335276,"domain_scores_codex":[0.9991621,0.00007556375,0.0002833342,0.0001092187,0.0002533984,0.0001163448],"domain_scores_gemma":[0.9995977,0.00005385642,0.0001367696,0.0001022756,0.00003919188,0.00007018595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002399935,0.0005892146,0.005966801,0.000157477,0.00004566163,0.001813121,0.004157091,0.001806087,0.1332724,0.006508877,0.006926338,0.8385169],"study_design_scores_gemma":[0.002481751,0.001647567,0.6245452,0.0004624427,0.00001388369,0.0009224232,0.0002350981,0.3478346,0.002396739,0.01703033,0.002140058,0.000289991],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861969,0.0001339479,0.01193287,0.0008004747,0.0006118244,0.00006082417,5.122046e-7,0.00003779938,0.000224815],"genre_scores_gemma":[0.9989149,0.0001516861,0.0006990313,0.0001021054,0.00004609681,7.056469e-7,2.988478e-7,0.00000349997,0.00008166552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8382269,"threshold_uncertainty_score":0.1867788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02312807523642916,"score_gpt":0.3205548031654001,"score_spread":0.2974267279289709,"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."}}