{"id":"W2004840471","doi":"10.3389/neuro.07.004.2009","title":"What is the most sensitive measure of water maze probe test performance?","year":2009,"lang":"en","type":"article","venue":"Frontiers in Integrative Neuroscience","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":225,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Fundação para a Ciência e a Tecnologia; Hospital for Sick Children","keywords":"Spatial learning; Morris water navigation task; Parametric statistics; Monte Carlo method; Computer science; Measure (data warehouse); Artificial intelligence; Water maze; Statistics; Cognition; Mathematics; Database; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004800055,0.0003051035,0.0003280881,0.0001926219,0.0002733908,0.0001526213,0.0008551329,0.00007719027,0.00001702999],"category_scores_gemma":[0.000986415,0.0001584632,0.0000842375,0.001036059,0.0007968813,0.001401822,0.00009532204,0.0005588286,0.00001383609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005415627,"about_ca_system_score_gemma":0.00005968867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002188811,"about_ca_topic_score_gemma":0.000002211892,"domain_scores_codex":[0.9973146,0.0003128283,0.0003847845,0.0007829872,0.000646769,0.000558088],"domain_scores_gemma":[0.9989916,0.0001985478,0.0001469482,0.0004566856,0.0001152453,0.00009096751],"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":[0.0000693985,0.0001048391,0.0003637633,0.000006593967,4.548765e-7,0.00002795508,0.005222974,0.00002336171,0.9872139,0.0002572973,0.0006882729,0.006021224],"study_design_scores_gemma":[0.0002145733,0.000728499,0.001581465,0.0001388392,0.000005247751,0.00004696302,0.001387394,0.005357693,0.9881641,0.001758701,0.0004187971,0.0001977617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837633,0.00004937128,0.004633503,0.004782932,0.00425344,0.000985063,0.00002543409,0.00005927991,0.00144769],"genre_scores_gemma":[0.9885843,0.0003005642,0.0003195913,0.009359571,0.00003384613,0.00002176526,5.856501e-7,0.00001198238,0.001367754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005823463,"threshold_uncertainty_score":0.6461941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03768544304357133,"score_gpt":0.2678453761926384,"score_spread":0.230159933149067,"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."}}