{"id":"W4415325288","doi":"10.1002/oik.11591","title":"The pace and sequence of spatial learning: exploration facilitates long‐term behavioral refinement","year":2025,"lang":"en","type":"article","venue":"Oikos","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Banff Centre; Parks Canada","funders":"Parks Canada","keywords":"Timeline; Biological dispersal; Movement (music); Habitat; Pace; Selection (genetic algorithm); Range (aeronautics); Home range","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":[0.0001193148,0.00005002371,0.00005495514,0.000004027805,0.0002105144,0.0000263279,0.00005260852,0.00002920455,0.00003161908],"category_scores_gemma":[0.00001968444,0.00001588301,0.00002256156,0.00007417693,0.00008264084,0.0000630386,0.00003292321,0.00005731371,0.000002467993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009350475,"about_ca_system_score_gemma":0.00000350165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004881361,"about_ca_topic_score_gemma":0.0003797816,"domain_scores_codex":[0.9995661,0.00003585664,0.0001009648,0.0001379415,0.00008096735,0.0000781217],"domain_scores_gemma":[0.9998405,0.00002826814,0.0000400859,0.00003074308,0.00004502089,0.00001538239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002657473,0.0000321287,0.1576246,0.00000413349,0.000002157631,4.767014e-7,0.0001178744,0.000001737151,0.5434073,0.00010167,0.00005337671,0.298628],"study_design_scores_gemma":[0.00006076445,0.000375516,0.9724009,0.00001597326,0.00001616148,0.000001137822,0.0007902288,0.0000114769,0.02199827,0.0001005735,0.004168114,0.00006085687],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980739,0.0001997689,0.00001632523,0.001384436,0.00007618687,0.0001006968,0.000004810495,0.00001773956,0.0001261729],"genre_scores_gemma":[0.9978803,0.0001369303,0.000008407464,0.000006129311,0.00003027618,0.00001269032,0.00001966482,2.024356e-7,0.00190544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8147764,"threshold_uncertainty_score":0.1619128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05547842767843517,"score_gpt":0.2915093194900097,"score_spread":0.2360308918115745,"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."}}