{"id":"W2063302149","doi":"10.1038/nature10961","title":"A comparative analysis of the evolution of imperfect mimicry","year":2012,"lang":"en","type":"article","venue":"Nature","topic":"Diptera species taxonomy and behavior","field":"Agricultural and Biological Sciences","cited_by":242,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; Carleton University","funders":"","keywords":"Batesian mimicry; Mimicry; Biology; Predation; Müllerian mimicry; Aposematism; Evolutionary biology; Natural selection; Imperfect; Convergent evolution; Ecology; Selection (genetic algorithm); Zoology; Phylogenetic tree; Predator; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007042936,0.0001878818,0.0002578687,0.001002739,0.0002872761,0.0005498768,0.0004731306,0.0003799532,0.00436582],"category_scores_gemma":[0.002840393,0.0001401553,0.0002708087,0.0005589885,0.0005560666,0.0004240391,0.0005578437,0.0004298483,0.0001586851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000536788,"about_ca_system_score_gemma":0.0002271113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000943595,"about_ca_topic_score_gemma":0.001734116,"domain_scores_codex":[0.9997142,0.00009829542,0.00001394309,0.00006965949,0.00005766488,0.00004619654],"domain_scores_gemma":[0.9973614,0.001603997,0.0004183806,0.0002081603,0.000179158,0.0002288526],"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":[0.00367739,0.0004162981,0.3445034,0.0003173278,0.0006723233,0.0009682157,0.001319495,0.008486494,0.5527779,0.0101,0.0003969474,0.07636417],"study_design_scores_gemma":[0.0000406751,0.001043426,0.9714583,0.00001587287,0.0001930001,0.001122672,0.0005606543,0.01140176,0.0103607,0.00240148,0.001365473,0.00003614421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985525,0.0001011728,0.0002264336,0.0000164256,0.000001274535,0.000002183392,0.0000448722,0.000003342064,0.001051765],"genre_scores_gemma":[0.9992912,0.00004091425,0.0002944211,0.000008004286,0.000001591251,0.000002944276,0.0000720739,0.000004695879,0.0002841147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00436582,"threshold_uncertainty_score":0.01460516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787220426577609,"score_gpt":0.250393184306714,"score_spread":0.2325209800409379,"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."}}