{"id":"W2057066802","doi":"10.1371/journal.pone.0025413","title":"Flexibility in Animal Signals Facilitates Adaptation to Rapidly Changing Environments","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Flexibility (engineering); Adaptation (eye); Sexual selection; Biology; Dominance (genetics); Animal communication; Ecology; Communication; Evolutionary biology; 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":[0.0001997575,0.0002495464,0.0001942561,0.0003148081,0.0001860484,0.0006294984,0.0002139424,0.0004293011,0.001305576],"category_scores_gemma":[0.0006377678,0.0002210352,0.0001463753,0.0001394939,0.00061798,0.0004013637,0.0006883443,0.0003314356,0.0002427035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000131756,"about_ca_system_score_gemma":0.00008957311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003203132,"about_ca_topic_score_gemma":0.0006021369,"domain_scores_codex":[0.9998509,0.00002897962,0.000008601854,0.00005068113,0.00002563405,0.00003526161],"domain_scores_gemma":[0.9995927,0.00008110494,0.0001460748,0.00007488159,0.00002622549,0.00007896937],"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":[0.0001351906,0.00003220993,0.0208734,0.00004194153,0.0000399439,0.0002558984,0.0003183472,0.0006189781,0.9657945,0.0005686138,0.00009178572,0.01122924],"study_design_scores_gemma":[0.00002571127,0.0004141058,0.9334347,0.00002389682,0.00005060825,0.001468549,0.0007024002,0.003325342,0.0553835,0.001973999,0.003145738,0.00005151553],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976268,0.0001479198,0.001245497,0.00006527208,0.000005674239,0.000002612716,0.00002102995,0.00003756537,0.0008475351],"genre_scores_gemma":[0.9984381,0.0001154689,0.0009755146,0.00003225852,0.000008874215,0.000003996822,0.00004609297,0.00001150741,0.0003682727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001305576,"threshold_uncertainty_score":0.00436759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1388747782052539,"score_gpt":0.2794207553395808,"score_spread":0.140545977134327,"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."}}