{"id":"W4405125084","doi":"10.1600/036364424x17267811220515","title":"To Lump or to Split? Revision of <i>Cuscuta</i> section <i>Indecorae</i> Using a Combined Morphometric, Phylogenetic, and Host Range Approach","year":2024,"lang":"en","type":"article","venue":"Systematic Botany","topic":"Plant Parasitism and Resistance","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Wilfrid Laurier University","funders":"","keywords":"Biology; Phylogenetic tree; Cuscuta; Section (typography); Range (aeronautics); Host (biology); Botany; Evolutionary biology; Ecology; Computer science; Engineering; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005720925,0.0001776341,0.000528166,0.00005683571,0.0001046638,0.0001283351,0.000164701,0.00009137878,0.00002070122],"category_scores_gemma":[0.0000898771,0.00006173987,0.00009047346,0.001389571,0.00001942005,0.00007110245,0.00006359757,0.00006488046,0.00002522932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003618612,"about_ca_system_score_gemma":0.00001021857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008997571,"about_ca_topic_score_gemma":0.00007130679,"domain_scores_codex":[0.9984748,0.0001377329,0.0004598602,0.0003696233,0.0003266755,0.0002312568],"domain_scores_gemma":[0.9993303,0.0002679375,0.00009741737,0.00009899784,0.00004572735,0.0001596319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002307761,0.0001513595,0.003623209,0.02424364,0.0001204479,0.00007750592,0.000412193,0.00002140279,0.9673423,0.0002043031,0.00174412,0.001828778],"study_design_scores_gemma":[0.005430785,0.01415096,0.5108857,0.3045378,0.00377864,0.005179178,0.01690574,0.04367196,0.06366984,0.0006014895,0.0211088,0.01007914],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937738,0.0034244,0.000527557,0.0001330598,0.0003278236,0.001383809,0.0001111655,0.00005260271,0.0002657977],"genre_scores_gemma":[0.997844,0.00005957717,0.001389029,0.00009102263,0.0001206685,0.00002424007,0.000003720494,0.00000261815,0.0004651385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9036725,"threshold_uncertainty_score":0.2517679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02443044272199694,"score_gpt":0.2400680013037276,"score_spread":0.2156375585817307,"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."}}