{"id":"W4407554756","doi":"10.3389/fnbeh.2025.1536458","title":"Assessing cognitive flexibility in mice using a custom-built touchscreen chamber","year":2025,"lang":"en","type":"article","venue":"Frontiers in Behavioral Neuroscience","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute; University of Calgary; University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; University of California, Irvine; University of Waterloo; University of Lethbridge","keywords":"Touchscreen; Task (project management); Cognition; Flexibility (engineering); Cognitive flexibility; Computer science; Psychology; Human–computer interaction; Neuroscience; Engineering; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006031427,0.0003298894,0.0004250146,0.0006853992,0.0003133124,0.0002581032,0.0006172527,0.0001509185,0.00001619353],"category_scores_gemma":[0.001131157,0.0003407141,0.00008878273,0.002847905,0.0005804025,0.001629894,0.0003424067,0.0006873567,0.000004608555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002260019,"about_ca_system_score_gemma":0.0002095839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001021894,"about_ca_topic_score_gemma":0.00004655236,"domain_scores_codex":[0.9960778,0.000575424,0.0005653278,0.00145433,0.0004956759,0.000831406],"domain_scores_gemma":[0.9990999,0.0001756328,0.000157954,0.0003869657,0.000041639,0.0001378829],"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":[0.00009989729,0.0004041162,0.05325125,0.0000196923,2.092374e-7,0.0004182382,0.0001617725,0.0002084085,0.9398093,0.00008972453,0.00004271992,0.005494734],"study_design_scores_gemma":[0.0008095639,0.0001209702,0.0514826,0.0003276317,0.00002030607,0.00004730425,0.0005388199,0.02553324,0.9196475,0.0009545841,0.000057592,0.0004599071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877977,0.000033873,0.007397708,0.0001246178,0.003226847,0.0006880967,0.00002677031,0.00009124658,0.0006130868],"genre_scores_gemma":[0.9961506,0.00001431741,0.001707535,0.001681305,0.00002129962,0.00003667434,9.851423e-7,0.00001945205,0.0003677905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02532483,"threshold_uncertainty_score":0.9999045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2255013549734889,"score_gpt":0.432079440452754,"score_spread":0.2065780854792651,"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."}}