{"id":"W2988464232","doi":"10.1111/eth.12982","title":"Is exploration a metric for information gathering? Attraction to novelty and plasticity in black‐capped chickadees","year":2019,"lang":"en","type":"article","venue":"Ethology","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Human Frontier Science Program","keywords":"Novelty; Attraction; Foraging; Computer science; Metric (unit); Sampling (signal processing); Diversity (politics); Adaptive value; Artificial intelligence; Ecology; Biology; Psychology; Engineering; Computer vision; Social psychology","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":[0.0003013909,0.0002759563,0.0002981414,0.000874426,0.0002164204,0.0005654964,0.0002923331,0.0004318953,0.0009319023],"category_scores_gemma":[0.001507929,0.0002520202,0.000253363,0.0001820766,0.0007482447,0.0003313481,0.000666159,0.0006404747,0.000119575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002806457,"about_ca_system_score_gemma":0.0001190225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001913275,"about_ca_topic_score_gemma":0.00400973,"domain_scores_codex":[0.9998608,0.00003057816,0.00001130799,0.00005004404,0.00002578706,0.00002152581],"domain_scores_gemma":[0.9979753,0.0005319131,0.0008259909,0.0001681694,0.0001402642,0.000358397],"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":[0.001385368,0.0001834655,0.3428096,0.0001568263,0.0002036177,0.000439527,0.001139107,0.001837406,0.6429495,0.0002801263,0.0001299461,0.00848545],"study_design_scores_gemma":[0.000006794524,0.000314171,0.9911281,0.000008282458,0.00002282735,0.0001732464,0.0001707971,0.001194999,0.006751941,0.0001051811,0.0001069082,0.00001662727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996437,0.00004680041,0.0001448379,0.000009378927,8.184608e-7,0.000002223653,0.00003242091,0.000004377975,0.0001154893],"genre_scores_gemma":[0.9992317,0.00003212241,0.0004576091,0.0000101128,0.000001305641,0.000008419505,0.00004520896,0.000004579427,0.0002089827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001913275,"threshold_uncertainty_score":0.003804207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04522757702341818,"score_gpt":0.2813810673928067,"score_spread":0.2361534903693885,"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."}}