{"id":"W31448541","doi":"10.1111/coa.13421","title":"Rats' (Rattus norvegicus) Encoding and Retrieval of Spatial and Non-Spatial Environmental Features in a Foraging Task","year":2013,"lang":"en","type":"article","venue":"","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Foraging; Task (project management); Encoding (memory); Computer science; Artificial intelligence; Geography; Ecology; Biology; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002363498,0.0008225573,0.0003289701,0.000391119,0.0002247948,0.0002435874,0.0003237299,0.0002948767,0.003919307],"category_scores_gemma":[0.0002686892,0.0002346583,0.0002362563,0.00007082571,0.0005003833,0.0002993942,0.0004507878,0.0009476123,0.0008720351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002145166,"about_ca_system_score_gemma":0.0003066465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002705277,"about_ca_topic_score_gemma":0.004505235,"domain_scores_codex":[0.9998921,0.00001115547,0.000006946141,0.00004010815,0.00001648162,0.00003325409],"domain_scores_gemma":[0.9998498,0.00001535614,0.0000293007,0.00003749536,0.00001465111,0.00005335064],"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":[0.003158585,0.001592444,0.004433718,0.0001969486,0.0000866771,0.0001935538,0.0001989134,0.0001917492,0.955943,0.0005332039,0.001360909,0.03211026],"study_design_scores_gemma":[0.001476585,0.02420911,0.2215967,0.0002125858,0.0005842707,0.001960778,0.0009589868,0.007916367,0.7202809,0.002851814,0.01775461,0.0001972942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960883,0.0004965558,0.001203459,0.0003104896,0.0001477296,0.00002102673,0.0003079077,0.000196811,0.001227851],"genre_scores_gemma":[0.9831502,0.0008855771,0.003462066,0.0003621019,0.0000402492,0.0001562549,0.0008042105,0.00006522669,0.0110743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003919307,"threshold_uncertainty_score":0.01311135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164287237834051,"score_gpt":0.243420168619209,"score_spread":0.2217772962408685,"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."}}