{"id":"W2010852360","doi":"10.1093/beheco/aru175","title":"Ants build transportation networks that optimize cost and efficiency at the expense of robustness","year":2014,"lang":"en","type":"article","venue":"Behavioral Ecology","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Robustness (evolution); Heuristics; Brood; Biology; Computer science; Ant colony; Ecology; Artificial intelligence; Ant colony optimization algorithms","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000457959,0.0004083856,0.0002955254,0.000811238,0.0005203736,0.001114697,0.0006512763,0.0005943677,0.001617347],"category_scores_gemma":[0.00248809,0.0003938475,0.0004205732,0.0004631705,0.0007780145,0.002108581,0.0006883171,0.0004745762,0.0003048751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009458475,"about_ca_system_score_gemma":0.0005312126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002358985,"about_ca_topic_score_gemma":0.003666771,"domain_scores_codex":[0.9998183,0.00006935676,0.00001065186,0.00004175158,0.00002964919,0.00003032221],"domain_scores_gemma":[0.9988878,0.0004632851,0.0003087746,0.0001505585,0.000113013,0.00007653181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00007321248,0.00004822137,0.006798459,0.0001388481,0.0001052179,0.0001071445,0.0001296675,0.8869117,0.01890687,0.06201546,0.0009805122,0.02378473],"study_design_scores_gemma":[0.00002268151,0.00006360518,0.003248277,0.00002319661,0.00004662179,0.0001649636,0.0001590265,0.9284469,0.005413439,0.05780794,0.00458003,0.00002336488],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4907006,0.000368593,0.4960271,0.0005564866,0.00003227014,0.0001026049,0.0001638383,0.0004019319,0.01164645],"genre_scores_gemma":[0.902538,0.000397688,0.09471878,0.00007068666,0.0000106122,0.00006192111,0.0001106133,0.00007432291,0.00201738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002358985,"threshold_uncertainty_score":0.00686264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168610235666519,"score_gpt":0.2661230627560928,"score_spread":0.2492620391894409,"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."}}