{"id":"W4386981565","doi":"10.1007/s10682-023-10262-4","title":"How to move and when to escape: quantifying intraspecific exploratory and anti-predator behavior in an aposematic poison frog","year":2023,"lang":"en","type":"article","venue":"Evolutionary Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Consejo Nacional de Rectores; International Max Planck Research School for Advanced Methods in Process and Systems Engineering; Max-Planck-Gesellschaft; Universidad de Costa Rica; York University; New York University Abu Dhabi; International Center for Genetic Engineering and Biotechnology","keywords":"Aposematism; Intraspecific competition; Animal ecology; Predation; Boldness; Biology; Predator; Ecology; Escape response; Crypsis; Neophobia; Zoology; Psychology; Social psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001511279,0.0001217397,0.0002155436,0.00005616949,0.000211383,0.00004955042,0.0001107548,0.00008125624,0.00004600596],"category_scores_gemma":[0.00006560245,0.00006148844,0.00001813033,0.0002793308,0.00005032916,0.0002036823,0.0001870668,0.00007800516,0.00005765965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002968802,"about_ca_system_score_gemma":0.000005031619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004004894,"about_ca_topic_score_gemma":0.0065703,"domain_scores_codex":[0.9990457,0.00007730962,0.0001432973,0.0003454466,0.00008653591,0.0003016872],"domain_scores_gemma":[0.9996213,0.0001641042,0.00003024486,0.00002566633,0.00002708666,0.0001315765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004197872,0.00009226982,0.8267331,0.00001420927,0.000007364874,0.0000545612,0.0008456346,0.000002826057,0.1621489,0.0003196241,0.004743878,0.004995658],"study_design_scores_gemma":[0.00008420795,0.0003339401,0.9945105,0.00001229101,0.000006168701,0.00001029776,0.003332365,0.00008586601,0.00006224815,0.000352204,0.001063472,0.0001464577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945018,0.0002675837,6.650176e-7,0.004655325,0.00009537792,0.0003136638,0.00006971162,0.00007128478,0.00002461035],"genre_scores_gemma":[0.9991635,0.0001347608,0.0001648568,0.0001863582,0.0001190365,0.00009764815,0.00003976357,0.000001339818,0.00009273337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1677774,"threshold_uncertainty_score":0.3666382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08581768792224859,"score_gpt":0.2547583035048008,"score_spread":0.1689406155825522,"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."}}