{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001335315,0.0002623754,0.0004497174,0.001441706,0.0005342647,0.002183133,0.0005598622,0.0007569885,0.00188712],"category_scores_gemma":[0.005899956,0.0002558281,0.000498462,0.0008531432,0.002820162,0.002759313,0.002514888,0.0007612144,0.0001406876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008655083,"about_ca_system_score_gemma":0.0003437023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002739713,"about_ca_topic_score_gemma":0.0002415633,"domain_scores_codex":[0.9993749,0.0002062664,0.00002816968,0.0001363265,0.0001584984,0.00009598389],"domain_scores_gemma":[0.9946172,0.003109441,0.001127711,0.0004842619,0.0002558987,0.0004056027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000111519,0.00006888476,0.0855749,0.0001807607,0.0002356909,0.0006158868,0.0007035056,0.0815547,0.009213665,0.7887577,0.0003898329,0.03259298],"study_design_scores_gemma":[0.00002105774,0.00009637596,0.06357069,0.00004247267,0.00005700255,0.000962971,0.0003256322,0.1039643,0.001278379,0.8277349,0.001882499,0.00006363966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9130667,0.001185348,0.06414514,0.001939316,0.00001614372,0.00002171602,0.00007199747,0.00004304375,0.01951066],"genre_scores_gemma":[0.9965875,0.0002044566,0.002784216,0.00004520912,0.00001445129,0.00001175091,0.00001750508,0.000004260144,0.0003306808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002183133,"threshold_uncertainty_score":0.007061839,"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."}}