{"id":"W2157049501","doi":"10.1016/j.tree.2013.11.003","title":"Testing for coevolutionary diversification: linking pattern with process","year":2013,"lang":"en","type":"review","venue":"Trends in Ecology & Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":179,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Coevolution; Diversification (marketing strategy); Evolutionary biology; Genetic algorithm; Biology; Macroevolution; Computer science; Phylogenetics; Gene; Business; Genetics; Marketing","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":[0.003269118,0.001233782,0.002525287,0.001955425,0.0002443919,0.001634941,0.002275736,0.002048901,0.002008646],"category_scores_gemma":[0.006753604,0.0003711991,0.0006511674,0.002530924,0.002212936,0.002058833,0.001156122,0.001822456,0.0009284287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009052235,"about_ca_system_score_gemma":0.001407883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002347988,"about_ca_topic_score_gemma":0.00281115,"domain_scores_codex":[0.9991021,0.0001959679,0.00008759816,0.0002920354,0.0002847349,0.00003764626],"domain_scores_gemma":[0.9943559,0.004339942,0.0004651719,0.000156151,0.0005371977,0.000145621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005565988,0.00004291122,0.005448332,0.003492845,0.0002035703,0.0001129489,0.00004209738,0.0005163379,0.001056732,0.005357623,0.005500521,0.9781703],"study_design_scores_gemma":[0.0001074914,0.0005068542,0.07622732,0.02170374,0.002063968,0.007450811,0.0008120731,0.00474405,0.005163733,0.1449528,0.7359135,0.0003536692],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001005239,0.9929968,0.002916876,0.001393087,0.0002306011,0.00001056003,0.00008934041,0.00002808166,0.001329436],"genre_scores_gemma":[0.01422556,0.9772524,0.005407327,0.001531115,0.0005074334,0.0000320416,0.0001836995,0.00001573952,0.0008447659],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003269118,"threshold_uncertainty_score":0.01728898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03978538776730912,"score_gpt":0.3268586685950234,"score_spread":0.2870732808277143,"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."}}