{"id":"W6894181896","doi":"10.5683/sp3/4m5iib","title":"Serial Reversal Learning in an Olfactory Discrimination Task in 3xTg-AD Mice","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Task (project management); Discrimination learning; Olfactory cues; Olfaction; Facilitation; Olfactory perception","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":[0.000661333,0.001224069,0.001022137,0.002092812,0.0005407118,0.0006785159,0.001161777,0.0008010815,0.01116536],"category_scores_gemma":[0.0008890341,0.0003068624,0.0009932942,0.001570978,0.0002354288,0.0004455016,0.0007324388,0.001002847,0.01036621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007104703,"about_ca_system_score_gemma":0.0007030523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01160571,"about_ca_topic_score_gemma":0.02072,"domain_scores_codex":[0.9993936,0.00005874116,0.00006587758,0.0001435727,0.0002198444,0.0001184222],"domain_scores_gemma":[0.9990904,0.0001971387,0.0001949005,0.0001745173,0.0001571338,0.0001859555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.004487271,0.001061758,0.06152577,0.003960768,0.0008719512,0.001422027,0.0003711356,0.007715511,0.218768,0.002777274,0.595398,0.1016405],"study_design_scores_gemma":[0.001041522,0.001174776,0.3077488,0.0003595829,0.0005879237,0.001864921,0.0002599637,0.009384262,0.0792118,0.003170369,0.5949208,0.000275356],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0514918,0.0002452109,0.001780399,0.0001362141,0.00005462403,0.00005314932,0.9414114,0.001833795,0.002993386],"genre_scores_gemma":[0.01874867,0.0001526226,0.003428639,0.0000754576,0.000005110644,0.0001910889,0.9741465,0.0002329126,0.003019097],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01160571,"threshold_uncertainty_score":0.03735185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04343732116940567,"score_gpt":0.2990148050053273,"score_spread":0.2555774838359216,"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."}}