{"id":"W4362453488","doi":"10.1093/g3journal/jkad073","title":"A happy accident: a novel turfgrass reference genome","year":2023,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"Corteva Agriscience; Iowa State University; University of Texas at Austin; National Science Foundation","keywords":"Biology; Genome; Genetics; Evolutionary biology; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009995992,0.001040707,0.000935471,0.001509066,0.001412032,0.001672716,0.001723752,0.001411856,0.00389885],"category_scores_gemma":[0.002433977,0.0005895871,0.000799373,0.002418529,0.0002161975,0.0007890486,0.00115504,0.001752906,0.004827639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007567331,"about_ca_system_score_gemma":0.002245363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008379395,"about_ca_topic_score_gemma":0.01234419,"domain_scores_codex":[0.999338,0.00005319275,0.00004914109,0.0002747517,0.0002171501,0.00006785495],"domain_scores_gemma":[0.9990137,0.0001174542,0.0001199978,0.0001801563,0.0004545572,0.0001140444],"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":[0.001323394,0.0003358446,0.009096412,0.002069475,0.0002363491,0.002448459,0.001539498,0.00302765,0.6036012,0.004382127,0.1136516,0.258288],"study_design_scores_gemma":[0.000258273,0.0003893711,0.04029399,0.0004960792,0.0004761002,0.0028999,0.0005103598,0.009402701,0.07267147,0.002438823,0.8699993,0.0001637099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2949652,0.01076156,0.3238656,0.005055364,0.003705591,0.0009290428,0.2926665,0.03969108,0.02836004],"genre_scores_gemma":[0.07070319,0.002079949,0.2469777,0.0008544599,0.0001807142,0.0005045785,0.665718,0.002919407,0.01006208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008379395,"threshold_uncertainty_score":0.01666123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03905451554834617,"score_gpt":0.2537409822723995,"score_spread":0.2146864667240533,"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."}}