{"id":"W2056379117","doi":"10.3758/s13428-015-0564-5","title":"Assessing perceptual change with an ambiguous figures task: Normative data for 40 standard picture sets","year":2015,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Perception; Normative; Ambiguity; Morphing; Computer science; Cognitive psychology; Object (grammar); Psychology; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002763372,0.0006872519,0.0004074177,0.001862293,0.0005552129,0.0006090237,0.0008398351,0.0008906242,0.003985822],"category_scores_gemma":[0.01929779,0.0003283929,0.0004383459,0.0005910585,0.001091155,0.0008747568,0.0008934256,0.0006694701,0.001291419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004471711,"about_ca_system_score_gemma":0.0002588804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003126585,"about_ca_topic_score_gemma":0.004523918,"domain_scores_codex":[0.9975684,0.0003415151,0.0003926072,0.000480051,0.001113358,0.000104136],"domain_scores_gemma":[0.9865682,0.00541343,0.001032238,0.00354288,0.002968266,0.0004748854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01256677,0.01268542,0.5346124,0.001145685,0.0007711551,0.003330202,0.009650942,0.006699318,0.2330455,0.002200457,0.007656017,0.1756362],"study_design_scores_gemma":[0.0001680712,0.002887802,0.951262,0.00005970714,0.0001311329,0.003782624,0.0008430791,0.002845966,0.03293475,0.001181277,0.003837861,0.00006572253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915292,0.0001397368,0.002739378,0.00001818205,0.00001445549,0.0002821722,0.001469031,0.00009145873,0.003716376],"genre_scores_gemma":[0.9924721,0.0001167181,0.002891088,0.00004128748,0.000008977791,0.0003774588,0.002735998,0.00009979292,0.001256738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003985822,"threshold_uncertainty_score":0.01461428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8104658419495807,"score_gpt":0.6598050748479091,"score_spread":0.1506607671016716,"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."}}