{"id":"W4295875574","doi":"10.1101/2022.09.08.507101","title":"Probing visual sensitivity and attention in mice using reverse correlation","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Olfactory and Sensory Function Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Stimulus (psychology); Checkerboard; Psychology; Correlation; Spatial frequency; Neuroscience; Visual attention; Cognitive psychology; Computer science; Cognition; Pattern recognition (psychology); Physics; Mathematics; Optics","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":[0.000791673,0.0007876277,0.0004422969,0.00107361,0.0002353289,0.0004396752,0.0008145692,0.000702064,0.001655656],"category_scores_gemma":[0.0005428005,0.000464749,0.0004969799,0.0003342977,0.000931347,0.0004163387,0.000661323,0.001835327,0.0004587823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00062609,"about_ca_system_score_gemma":0.0002389512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001372699,"about_ca_topic_score_gemma":0.001753809,"domain_scores_codex":[0.9994783,0.00006642142,0.00004238794,0.0001841575,0.0001352869,0.00009350768],"domain_scores_gemma":[0.9987846,0.0002743719,0.0004607264,0.0001556677,0.0001270302,0.0001975836],"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":[0.00007079547,0.00003132477,0.0002613735,0.00001331201,0.000005200045,0.00001312425,0.00001123888,0.00009332775,0.9985373,0.0001166305,0.00003545904,0.0008108668],"study_design_scores_gemma":[0.00002449956,0.0003253098,0.008283849,0.000008518122,0.00002230851,0.00009696143,0.00001832823,0.005353387,0.9846922,0.0002621661,0.0008889057,0.0000234893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9342283,0.0004622425,0.06126214,0.0002429562,0.00006631148,0.0000732518,0.001162197,0.0008639144,0.001638671],"genre_scores_gemma":[0.9324305,0.0004625372,0.05927306,0.0004227404,0.00003542301,0.0003455658,0.0008564691,0.0005302742,0.005643375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001655656,"threshold_uncertainty_score":0.005538762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06735266670750704,"score_gpt":0.2590031128062291,"score_spread":0.1916504460987221,"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."}}