{"id":"W1686800119","doi":"10.1111/evo.12492","title":"ORGANISMAL COMPLEXITY AND THE POTENTIAL FOR EVOLUTIONARY DIVERSIFICATION","year":2014,"lang":"en","type":"article","venue":"Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Universität Wien; Vienna Science and Technology Fund","keywords":"Trait; Biology; Diversification (marketing strategy); Fitness landscape; Ecology; Resource (disambiguation); Function (biology); Evolutionary biology; Computer science; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002635675,0.00007428935,0.00006642152,0.00001782248,0.0002725636,0.00001329576,0.00008956897,0.00007655004,0.000007424317],"category_scores_gemma":[0.0001112371,0.0000602264,0.00005145766,0.00003903151,0.0002901049,0.000003365691,0.00006389623,0.00003683589,0.00000731506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000205745,"about_ca_system_score_gemma":0.00002506775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002139323,"about_ca_topic_score_gemma":0.00002297753,"domain_scores_codex":[0.9994136,0.00008233435,0.0001073949,0.0001938768,0.00008011219,0.0001226708],"domain_scores_gemma":[0.999626,0.00001419025,0.0000543701,0.0001761874,0.00009379435,0.00003549453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001836469,0.0001735435,0.005955917,0.00006508661,0.0001345312,1.528427e-7,0.0001752476,0.004416466,0.2122865,0.7379805,0.03260959,0.004365958],"study_design_scores_gemma":[0.006324082,0.0003764716,0.4007343,0.000006675364,0.0001036827,0.00004204001,0.0002395575,0.4894933,0.0008107008,0.06270805,0.03879327,0.0003679109],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.204234,0.0004025184,0.7928135,0.001444407,0.0002236623,0.0003201105,0.00002570434,0.00001865487,0.0005174214],"genre_scores_gemma":[0.9951,0.00003335748,0.003632961,0.0001648654,0.0002884096,0.00002047664,0.0002335937,0.000007843505,0.0005185144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.790866,"threshold_uncertainty_score":0.2455961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006944459943125651,"score_gpt":0.2163332932810442,"score_spread":0.2093888333379186,"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."}}