{"id":"W3003673756","doi":"10.1016/j.neuroscience.2020.01.028","title":"Cognitive Impairments in Touchscreen-based Visual Discrimination and Reversal Learning in Genetic Absence Epilepsy Rats from Strasbourg","year":2020,"lang":"en","type":"article","venue":"Neuroscience","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Michael Smith Health Research BC; University of Calgary; University of Saskatchewan","funders":"University of Saskatchewan; Genome British Columbia; Canadian Institutes of Health Research; Saskatchewan Health Research Foundation; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Michael Smith Health Research BC","keywords":"Touchscreen; Epilepsy; Psychology; Audiology; Latency (audio); Cognition; Medicine; Developmental psychology; Neuroscience","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":[0.0004620324,0.00250673,0.001080947,0.003835348,0.00111481,0.0005988882,0.0009244957,0.001000817,0.005632158],"category_scores_gemma":[0.000679678,0.0005675258,0.0008518622,0.0005254211,0.002618915,0.0007544707,0.001168755,0.002536556,0.001080399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702834,"about_ca_system_score_gemma":0.00221112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02619671,"about_ca_topic_score_gemma":0.0289723,"domain_scores_codex":[0.9994193,0.00007388445,0.00006347437,0.0001312334,0.0001631189,0.0001490042],"domain_scores_gemma":[0.9985348,0.0002431212,0.0003875439,0.0001971054,0.0002086819,0.000428692],"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":[0.004861892,0.001602384,0.002037935,0.0001125764,0.0001073398,0.001492947,0.0004106762,0.0003789066,0.9793968,0.00103823,0.0007291277,0.007831199],"study_design_scores_gemma":[0.001423622,0.01103947,0.1004661,0.0002212912,0.0005935659,0.002966802,0.001264172,0.00341557,0.8664114,0.002348009,0.009614617,0.0002351857],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938006,0.0006472098,0.001131362,0.000673409,0.00006851257,0.00007751218,0.001389988,0.000181571,0.002029848],"genre_scores_gemma":[0.9677991,0.001973715,0.002177698,0.000400179,0.00004241671,0.00026331,0.002796637,0.0002158131,0.0243311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02619671,"threshold_uncertainty_score":0.0520885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.065170593244945,"score_gpt":0.35842922693298,"score_spread":0.293258633688035,"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."}}