{"id":"W3046121073","doi":"10.1093/sysbio/syaa059","title":"Investigating Morphological Complexes Using Informational Dissonance and Bayes Factors: A Case Study in Corbiculate Bees","year":2020,"lang":"en","type":"article","venue":"Systematic Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; National Science Foundation","keywords":"Biology; Phylogenetic tree; Eusociality; Bayes' theorem; Evolutionary biology; Cognitive dissonance; Bayes factor; Variation (astronomy); Bayesian probability; Trait; Phylogenetics; Phylogenetic comparative methods; Artificial intelligence; Ecology; Computer science; Hymenoptera; Genetics","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":[0.009555034,0.0005607912,0.0009187957,0.00365735,0.001231634,0.001503054,0.0008724387,0.001103331,0.0004731665],"category_scores_gemma":[0.03681085,0.0002411443,0.0006491294,0.003357101,0.001571393,0.001408577,0.001206253,0.0009158022,0.00006326273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117456,"about_ca_system_score_gemma":0.0004132345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007579594,"about_ca_topic_score_gemma":0.008319786,"domain_scores_codex":[0.9965911,0.002008851,0.0002270476,0.0006312621,0.0004034088,0.0001383283],"domain_scores_gemma":[0.948644,0.04591005,0.002357014,0.001617098,0.001036933,0.0004349494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001116199,0.0002856572,0.7054415,0.0007610756,0.0006369707,0.004808935,0.0177941,0.0585575,0.02349196,0.02405111,0.0009614596,0.1620936],"study_design_scores_gemma":[0.00008164898,0.0002921387,0.5063478,0.0002152685,0.0002968606,0.003138507,0.00765567,0.4085954,0.01172446,0.05649041,0.004959559,0.0002021553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745703,0.001030914,0.02337358,0.0001737914,0.000003621278,0.00003403601,0.0001902942,0.00003715534,0.0005863162],"genre_scores_gemma":[0.9698005,0.0001653089,0.0296495,0.00002233951,0.00000735945,0.00001541887,0.0002208939,0.00002113012,0.0000975291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009555034,"threshold_uncertainty_score":0.0505324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1891167067387522,"score_gpt":0.2827456783479896,"score_spread":0.09362897160923736,"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."}}