{"id":"W807779401","doi":"10.1007/s00426-015-0679-4","title":"The effect of SNARC compatibility on perceptual accuracy: evidence from object substitution masking","year":2015,"lang":"en","type":"article","venue":"Psychological Research","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Perception; Visual masking; Coding (social sciences); Compatibility (geochemistry); Computer science; Stimulus–response compatibility; Cognitive psychology; Psychology; Cognition; Visual perception; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006566459,0.000137708,0.0001992849,0.00007612073,0.0005163499,0.0001559162,0.0008029049,0.0001290085,0.0004204694],"category_scores_gemma":[0.03967131,0.00007409706,0.00007538779,0.0005818356,0.000948492,0.0001660251,0.0001614262,0.000812509,0.000878618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001062789,"about_ca_system_score_gemma":0.00004607254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007584847,"about_ca_topic_score_gemma":0.00001073504,"domain_scores_codex":[0.9933249,0.003765913,0.0002822545,0.0006482915,0.001527731,0.0004508959],"domain_scores_gemma":[0.9877005,0.01129647,0.00007563122,0.0005502139,0.000167462,0.0002097616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005063653,0.0003379415,0.004622684,0.00002824715,0.000003874592,0.00002239201,0.001707337,0.00008714886,0.8799258,0.002036592,0.001851248,0.1043131],"study_design_scores_gemma":[0.002542726,0.01945494,0.166634,0.0005794188,0.00001373721,0.00002120559,0.0008189852,0.007204364,0.7685925,0.03132625,0.002295622,0.0005162538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939159,0.00006516725,0.0007440214,0.0006751452,0.0003126398,0.0004183891,0.000006735792,0.00006550148,0.003796556],"genre_scores_gemma":[0.9994484,0.00008365577,0.0000688194,0.0001486586,0.0001017745,0.00003903742,0.000001886238,0.00000794759,0.00009980716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1620114,"threshold_uncertainty_score":0.9998993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5965234738546841,"score_gpt":0.5638568413725632,"score_spread":0.03266663248212087,"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."}}