{"id":"W2075199256","doi":"10.1016/j.jneumeth.2011.03.008","title":"Statistical and theoretical considerations for the platform re-location water maze","year":2011,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Okanagan University College; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Morris water navigation task; Flexibility (engineering); Task (project management); Computer science; Cognitive psychology; Cognition; Cognitive flexibility; Spatial learning; Encoding (memory); Spatial memory; Working memory; Artificial intelligence; Psychology; Machine learning; Neuroscience; Statistics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002358902,0.0001049566,0.000162264,0.00007500252,0.0003723104,0.0001004955,0.0002549067,0.00003919913,0.0001805671],"category_scores_gemma":[0.009423738,0.00005141606,0.00004856016,0.000124054,0.0007460847,0.0003596575,0.0000634902,0.0002390591,0.000001935544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008896457,"about_ca_system_score_gemma":0.00004708201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.100522e-7,"about_ca_topic_score_gemma":2.418596e-7,"domain_scores_codex":[0.998469,0.0004277079,0.0003835227,0.0002264617,0.0002446356,0.0002486716],"domain_scores_gemma":[0.9953586,0.004091766,0.0001468267,0.000169765,0.00009859433,0.0001344677],"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":[0.00005934618,0.00002635589,0.000002854984,0.00000485143,5.497248e-7,0.00001663169,0.0005204298,0.000005667569,0.7352123,0.2615925,0.00003801905,0.002520481],"study_design_scores_gemma":[0.0001598646,0.0004320304,0.0002632627,0.000004979927,0.00002008725,0.0006516314,0.0000567046,0.004009508,0.7270468,0.2671106,0.0001886054,0.00005590379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1660876,0.00001767149,0.8294513,0.002075052,0.001704344,0.000326446,0.000007176758,0.00001474294,0.0003157115],"genre_scores_gemma":[0.8886302,0.0000305242,0.1085771,0.002648454,0.00006534391,0.000008035605,3.615319e-8,0.000008136482,0.00003215738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7225426,"threshold_uncertainty_score":0.9989203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3926801227552323,"score_gpt":0.4473312371741489,"score_spread":0.05465111441891657,"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."}}