{"id":"W2126560241","doi":"10.1111/ele.12165","title":"Spatial memory and animal movement","year":2013,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":637,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Alberta","funders":"","keywords":"Movement (music); Cognitive science; Cognition; Computer science; Data science; Ecology; Neuroscience; Psychology; Biology","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":[0.000889665,0.0003183153,0.0004848149,0.0009790027,0.0005521878,0.002368838,0.0007964912,0.001108315,0.004803751],"category_scores_gemma":[0.00602407,0.000162677,0.0005022541,0.001325792,0.003489569,0.003631878,0.00178589,0.0008762739,0.0005157792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008766965,"about_ca_system_score_gemma":0.0006496843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005076688,"about_ca_topic_score_gemma":0.003421094,"domain_scores_codex":[0.9996284,0.0001155419,0.00002717842,0.0001292404,0.00006280565,0.00003678524],"domain_scores_gemma":[0.9980341,0.001028347,0.0003981613,0.0002893646,0.0001600461,0.00008996849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001696207,0.0000771063,0.03163553,0.0007637813,0.0002254799,0.0002768918,0.001370571,0.04375067,0.00578249,0.6401941,0.005022674,0.2707312],"study_design_scores_gemma":[0.00001872747,0.000146781,0.04065273,0.0002079136,0.00006462003,0.0003810535,0.0005918393,0.02780983,0.001352114,0.9078224,0.02088598,0.0000659912],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5203524,0.03106701,0.330646,0.01367448,0.0005087936,0.00007220044,0.00124289,0.0006069476,0.1018292],"genre_scores_gemma":[0.9606205,0.006391204,0.02555747,0.0006252996,0.0002059987,0.00006224404,0.0004192507,0.00006251436,0.006055524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005076688,"threshold_uncertainty_score":0.01607013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00902412792349099,"score_gpt":0.1861515198620967,"score_spread":0.1771273919386057,"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."}}