{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001526142,0.00005642228,0.00008718009,0.00003763634,0.00004172319,0.00001856632,0.00003350942,0.0000903496,0.00005105249],"category_scores_gemma":[0.00007459107,0.00002526617,0.00001924244,0.0002301898,0.00001690212,0.0003478214,0.00001807933,0.00006523237,0.00006200083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001582425,"about_ca_system_score_gemma":0.000002129802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009555295,"about_ca_topic_score_gemma":0.000101792,"domain_scores_codex":[0.9995421,0.00002125604,0.0001263439,0.0001522486,0.00005347177,0.0001046495],"domain_scores_gemma":[0.9998078,0.00006928894,0.00004695965,0.00002003913,0.0000318169,0.00002408857],"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":[0.0002828796,0.00007329193,0.1164398,0.00002384477,0.000003777399,2.410114e-7,0.002652664,0.0001240065,0.8158685,0.0004808253,0.0001542145,0.06389598],"study_design_scores_gemma":[0.0001444718,0.0004240651,0.984904,0.000004484153,0.000004102947,0.000004123103,0.0006200721,0.0001463546,0.008912889,0.0001850227,0.004574652,0.00007578273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971117,0.000005576093,0.0004114881,0.00183286,0.0001320246,0.0003615953,0.000008775054,0.00002447257,0.0001114836],"genre_scores_gemma":[0.999328,0.000008385426,0.0002665163,0.0001888332,0.00006900515,0.00002676942,0.00002063424,4.16806e-7,0.00009140954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8684642,"threshold_uncertainty_score":0.1030324,"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."}}