{"id":"W2681101367","doi":"10.1111/syen.12243","title":"Higher‐level phylogeny of diving beetles ( <scp>C</scp> oleoptera: <scp>D</scp> ytiscidae) based on larval characters","year":2017,"lang":"en","type":"article","venue":"Systematic Entomology","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"Secretaría de Ciencia y Técnica, Universidad de Buenos Aires; Agencia Nacional de Promoción Científica y Tecnológica; Natural Sciences and Engineering Research Council of Canada; Universidad de Buenos Aires; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Biology; Sensu; Paraphyly; Monophyly; Clade; Zoology; Sister group; Phylogenetics; Phylogenetic tree; Context (archaeology); Molecular phylogenetics; Genus; Paleontology; 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":[0.0001738113,0.0002456373,0.0002858946,0.001756889,0.0004932682,0.0006504358,0.0001384414,0.0002084508,0.002507444],"category_scores_gemma":[0.0002198463,0.0001111568,0.0002183058,0.001138741,0.000254306,0.0003147349,0.0004484658,0.0003556354,0.0006009718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003376603,"about_ca_system_score_gemma":0.0002965635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004336548,"about_ca_topic_score_gemma":0.008921265,"domain_scores_codex":[0.9999042,0.00001429026,0.000007731387,0.00003050963,0.00001876744,0.00002453925],"domain_scores_gemma":[0.9997666,0.00005370618,0.00004827349,0.0000198131,0.00005459919,0.00005697209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005045874,0.00007286987,0.7407815,0.0005035476,0.0001738045,0.0004439021,0.002616944,0.003718407,0.1792306,0.001005574,0.001194083,0.06975416],"study_design_scores_gemma":[0.0000058896,0.000066882,0.9900446,0.00005164644,0.00003201605,0.0002545074,0.0003373533,0.001578231,0.001663287,0.0001834852,0.005769093,0.00001318704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907519,0.0007779967,0.001584034,0.0000376559,0.000003238579,0.0000264092,0.001212955,0.00007239181,0.005533415],"genre_scores_gemma":[0.992559,0.000342828,0.002776699,0.00003915974,0.000005348908,0.00001461368,0.003041573,0.00002203242,0.001198858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004336548,"threshold_uncertainty_score":0.008622587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0381537649773234,"score_gpt":0.2436310554954168,"score_spread":0.2054772905180934,"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."}}