{"id":"W2768308516","doi":"10.1093/nar/gkx1111","title":"Gramene 2018: unifying comparative genomics and pathway resources for plant research","year":2017,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":186,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research; Ontario Institute for Cancer Research","funders":"National Human Genome Research Institute; Biotechnology and Biological Sciences Research Council; European Bioinformatics Institute","keywords":"Ensembl; Synteny; Biology; Genome browser; Comparative genomics; Genome; Computational biology; Genomics; Context (archaeology); Gene; Gene Annotation; Functional genomics; Orthologous Gene; Gene regulatory network; Genetics; Gene expression","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":[0.005221644,0.003744455,0.004385136,0.008246138,0.001689986,0.005787694,0.005611798,0.001855579,0.03521587],"category_scores_gemma":[0.006935249,0.002180817,0.003621247,0.008688339,0.001042384,0.004992366,0.007980992,0.004416858,0.03371707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001452427,"about_ca_system_score_gemma":0.00404309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003722158,"about_ca_topic_score_gemma":0.004954338,"domain_scores_codex":[0.9973639,0.0005244669,0.0002953409,0.0008223662,0.0006618292,0.0003321573],"domain_scores_gemma":[0.9977815,0.0006663532,0.0002049961,0.0007411427,0.0002778477,0.0003283082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003773309,0.0003353643,0.002964124,0.008820304,0.001123711,0.0014992,0.00112206,0.006875869,0.05741398,0.09664893,0.6589438,0.1604794],"study_design_scores_gemma":[0.0008011421,0.0002241937,0.003922311,0.001121422,0.0003093147,0.0007577282,0.0001855493,0.01374042,0.01463088,0.05884038,0.905201,0.000265517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.006436483,0.00518306,0.3331381,0.0005962764,0.001001471,0.000846923,0.3381692,0.2921748,0.0224537],"genre_scores_gemma":[0.01616261,0.003278792,0.429971,0.000483507,0.0001819816,0.002067338,0.505201,0.03784729,0.00480644],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03521587,"threshold_uncertainty_score":0.1178088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1691924503064535,"score_gpt":0.3976484234198295,"score_spread":0.2284559731133761,"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."}}