{"id":"W3177940254","doi":"10.3389/fevo.2021.681704","title":"Learning and Animal Movement","year":2021,"lang":"en","type":"article","venue":"Frontiers in Ecology and Evolution","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Guelph; University of Alberta","funders":"Banff International Research Station for Mathematical Innovation and Discovery; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; National Science Foundation","keywords":"Movement (music); Field (mathematics); Terminology; Social learning; Cognitive science; Ecology; Perspective (graphical); Computer science; Artificial intelligence; Psychology; Biology; Knowledge management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007656603,0.000382062,0.0004315788,0.0008815532,0.0005420246,0.001854161,0.0005568561,0.001455622,0.003272632],"category_scores_gemma":[0.002172002,0.0001289845,0.0004087689,0.0007067534,0.004735257,0.002402546,0.001256356,0.001357396,0.0006203721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009432911,"about_ca_system_score_gemma":0.0005305171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001558424,"about_ca_topic_score_gemma":0.001185431,"domain_scores_codex":[0.9995756,0.0001472576,0.00002395483,0.0001464756,0.00006660449,0.00004017062],"domain_scores_gemma":[0.9992162,0.0005063268,0.0001238746,0.00004964053,0.00005331063,0.00005062114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002960926,0.00002661696,0.002372139,0.0005267374,0.00005033527,0.0001496626,0.0006625896,0.01515371,0.002136915,0.8108295,0.005219744,0.1628425],"study_design_scores_gemma":[0.000007212511,0.00004992791,0.0036873,0.0002474143,0.00001307054,0.0002652621,0.000256261,0.009513604,0.0006106061,0.90665,0.07867006,0.00002927063],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0719358,0.1779519,0.5198178,0.04028224,0.001301569,0.0001109263,0.0004514591,0.0006397201,0.1875086],"genre_scores_gemma":[0.8005604,0.07468988,0.08062445,0.006388725,0.00188909,0.0002298541,0.0004724912,0.0001748204,0.03497025],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003272632,"threshold_uncertainty_score":0.010948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006633853277187502,"score_gpt":0.1990586094609035,"score_spread":0.192424756183716,"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."}}