{"id":"W4385311223","doi":"10.1101/2023.07.26.549740","title":"Differential expansion and retention patterns of LRR-RLK genes across plant evolution","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Subfamily; Biology; Arabidopsis; Lineage (genetic); Adaptation (eye); Gene family; Evolutionary biology; Gene; Genetics; Receptor; Phylogenetics; Computational biology; Genome; Mutant; Neuroscience","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":[0.0002886221,0.0001690382,0.0002751343,0.001057075,0.0002452032,0.0003775981,0.0002419609,0.000340205,0.001449657],"category_scores_gemma":[0.0002531477,0.0001599116,0.0002318155,0.0006874717,0.0003149342,0.0002665661,0.0003674678,0.0004486095,0.0005955299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003387543,"about_ca_system_score_gemma":0.0001079081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005742413,"about_ca_topic_score_gemma":0.0008600963,"domain_scores_codex":[0.9998384,0.00002175311,0.000009647659,0.00007007916,0.00002996347,0.00003024773],"domain_scores_gemma":[0.9997687,0.00006153887,0.00005795206,0.00003058715,0.00004537484,0.00003585446],"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":[0.0002779011,0.00001865155,0.0324639,0.00005399363,0.00004289053,0.0002223942,0.0002683136,0.0002703118,0.9538268,0.0002455548,0.00008228115,0.0122271],"study_design_scores_gemma":[0.00002051381,0.0001018557,0.9542871,0.00002208961,0.00004315965,0.001401969,0.0002435133,0.001158998,0.03747595,0.0002192971,0.005002977,0.00002256149],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970978,0.0004089209,0.0006964137,0.00003023043,0.0000026876,0.000005147213,0.0003343111,0.00002608696,0.001398297],"genre_scores_gemma":[0.9961062,0.0002750785,0.0009615589,0.00005995803,0.000006775342,0.00001136556,0.0009186457,0.00003637561,0.001623966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001449657,"threshold_uncertainty_score":0.004849553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01795562046677732,"score_gpt":0.2310321428703467,"score_spread":0.2130765224035693,"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."}}