{"id":"W4247879959","doi":"10.31234/osf.io/xkqcv","title":"Perceived depth modulates perceptual resolution","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Perception; Observer (physics); Depth perception; Psychology; Cognitive psychology; Orientation (vector space); Kinetic depth effect; Object (grammar); Psychophysics; Computer vision; Artificial intelligence; Visual perception; Computer science; Communication; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003757815,0.0003236728,0.0002599122,0.0003196415,0.00015961,0.0009791421,0.0003723878,0.0004965056,0.0019281],"category_scores_gemma":[0.005385924,0.0003124841,0.0002057259,0.0001895389,0.0003393231,0.0009880818,0.001016912,0.0005807492,0.0001949529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002817505,"about_ca_system_score_gemma":0.0001439683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003663614,"about_ca_topic_score_gemma":0.000228697,"domain_scores_codex":[0.9995721,0.00007084059,0.00002522231,0.000125659,0.0001473848,0.00005870724],"domain_scores_gemma":[0.9986779,0.000605681,0.0003017443,0.0001430361,0.0001651552,0.0001064503],"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":[0.0003957965,0.00002624305,0.001880898,0.0001205724,0.00001843508,0.00006573561,0.0002351861,0.000301136,0.9816124,0.000655284,0.0001093848,0.01457902],"study_design_scores_gemma":[0.0001653819,0.001068731,0.4479916,0.0001202439,0.0001552888,0.0008559761,0.0005141333,0.01308919,0.5237363,0.007097953,0.005089804,0.0001153416],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787757,0.001590965,0.01422863,0.0001631388,0.00007470336,0.00003229001,0.0001310275,0.00007374254,0.004929851],"genre_scores_gemma":[0.9934298,0.0005464697,0.005056424,0.00009553537,0.00003174843,0.00001814059,0.00009697174,0.00004115262,0.0006836881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0019281,"threshold_uncertainty_score":0.006450117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1087731023928405,"score_gpt":0.3388509401886721,"score_spread":0.2300778377958317,"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."}}