{"id":"W4366782781","doi":"10.1101/2023.04.21.537876","title":"Development of genomic resources for cattails ( <i>Typha</i> ), a globally important macrophyte genus","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Trent University; Russian Science Foundation; Compute Canada","keywords":"Biology; Introgression; Evolutionary biology; Phylogenetic tree; Adaptation (eye); Genome; Population; Genetics; Gene","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":[0.001803449,0.0008323435,0.0007492558,0.00252378,0.0009377313,0.001107543,0.001359898,0.0008106071,0.007146428],"category_scores_gemma":[0.00282782,0.0006667175,0.001279727,0.001897137,0.0003357911,0.0009413918,0.001949444,0.001317037,0.006345295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007514739,"about_ca_system_score_gemma":0.002750293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005874022,"about_ca_topic_score_gemma":0.01256361,"domain_scores_codex":[0.9994214,0.00007962777,0.00006248006,0.0002158019,0.0001244598,0.00009635301],"domain_scores_gemma":[0.9977371,0.000462646,0.0003460174,0.0003999467,0.0005342398,0.0005200577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000890445,0.0002179075,0.01636645,0.001897754,0.0001671805,0.0008117121,0.001311335,0.001651095,0.8582937,0.002041838,0.01828408,0.09806654],"study_design_scores_gemma":[0.0006616827,0.001402351,0.2896793,0.001375546,0.0008671542,0.001755002,0.001560075,0.01336721,0.2568824,0.00470137,0.427443,0.000304943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.3651138,0.00240527,0.1937625,0.002294563,0.0003849087,0.0030686,0.4026577,0.01815467,0.01215801],"genre_scores_gemma":[0.09997398,0.0007658098,0.2737925,0.00048724,0.00008005173,0.001217123,0.6183378,0.001933997,0.003411458],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007146428,"threshold_uncertainty_score":0.02390712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01226859814848655,"score_gpt":0.2064779759971268,"score_spread":0.1942093778486402,"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."}}