{"id":"W2913634438","doi":"10.1101/535922","title":"Visual interference can help and hinder memory: Capturing representational detail using the Validated Circular Shape Space","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; The Scarborough Hospital; University of Toronto","funders":"","keywords":"Similarity (geometry); Set (abstract data type); Scaling; Metric (unit); Multidimensional scaling; Stimulus (psychology); Interference (communication); Pattern recognition (psychology); Robustness (evolution)","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":[0.001110933,0.0004380861,0.0003461747,0.0007186754,0.0002329039,0.001012532,0.000708183,0.000356156,0.001627415],"category_scores_gemma":[0.009289922,0.0002562504,0.0005662172,0.0006003072,0.000801982,0.00108065,0.001189708,0.0006690766,0.0002334339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005781515,"about_ca_system_score_gemma":0.0004740574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001681302,"about_ca_topic_score_gemma":0.001374954,"domain_scores_codex":[0.999525,0.0001262147,0.00004180283,0.00009188842,0.0001792433,0.00003588683],"domain_scores_gemma":[0.99576,0.001924189,0.0008280781,0.000882183,0.0004538616,0.0001517089],"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":[0.00311817,0.0003505782,0.02879465,0.0006263564,0.0003841938,0.0002250771,0.000838239,0.02354865,0.7666647,0.01094311,0.0008939591,0.1636124],"study_design_scores_gemma":[0.0002397852,0.003096025,0.1900615,0.0001773227,0.0005488961,0.001009336,0.0005543107,0.3947295,0.3674103,0.03631969,0.005497044,0.0003562732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8919622,0.0008153353,0.1047757,0.0001258046,0.00005503107,0.00005219686,0.0001853627,0.0003196567,0.001708662],"genre_scores_gemma":[0.9772634,0.0001579481,0.02201386,0.00008257139,0.00001546736,0.00002954882,0.0001298684,0.00005367533,0.0002536458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001681302,"threshold_uncertainty_score":0.00587523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05813968094120477,"score_gpt":0.2794620724192142,"score_spread":0.2213223914780094,"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."}}