{"id":"W4411125970","doi":"10.31234/osf.io/x8eaz_v1","title":"Unconscious processing of naturalistic scenes revealed by eye movement dynamics","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Unconscious mind; Movement (music); Dynamics (music); Eye movement; Computer science; Computer vision; Artificial intelligence; Psychology; Art; Aesthetics; Psychoanalysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001272007,0.0001263175,0.0001391528,0.0001581151,0.00009779119,0.0002770728,0.00009857905,0.0001831375,0.000986587],"category_scores_gemma":[0.001227259,0.0001053905,0.00009405562,0.00009302149,0.000243722,0.0003387016,0.0002595472,0.0001717288,0.0000849971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001114089,"about_ca_system_score_gemma":0.00008026339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004504839,"about_ca_topic_score_gemma":0.0005838879,"domain_scores_codex":[0.9999015,0.00002336851,0.000004827565,0.00003297743,0.00001834023,0.00001885974],"domain_scores_gemma":[0.9997496,0.0001181954,0.00005877386,0.00003179705,0.00002119601,0.0000204539],"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":[0.0003937481,0.00003436687,0.01603899,0.0001030749,0.00005128355,0.000130408,0.0007306696,0.000907261,0.9545698,0.0008387169,0.0002280859,0.02597354],"study_design_scores_gemma":[0.00005430165,0.0003694786,0.8618093,0.0000271128,0.00007228453,0.0006609948,0.0006260913,0.02537571,0.1044078,0.004529468,0.002019229,0.00004832854],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935801,0.0001374029,0.005266301,0.00003061987,0.000004004047,0.000009629477,0.00005808542,0.00003288242,0.0008808878],"genre_scores_gemma":[0.9983748,0.00005470391,0.001334649,0.00001147011,0.000002987653,0.00000648722,0.00005022743,0.000006783601,0.0001577565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000986587,"threshold_uncertainty_score":0.003300428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007536018208930881,"score_gpt":0.27537653799881,"score_spread":0.2678405197898791,"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."}}