{"id":"W2106780701","doi":"10.1093/nar/gkv1179","title":"Gramene 2016: comparative plant genomics and pathway resources","year":2015,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":134,"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","keywords":"Ensembl; Biology; Genome browser; Genome; Annotation; Comparative genomics; Genomics; Computational biology; Reference genome; Database; Bioinformatics; Genetics; Computer science; Gene","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":[0.001579024,0.003200946,0.003355502,0.007202044,0.002121025,0.002825696,0.004463731,0.001545761,0.08657202],"category_scores_gemma":[0.002427633,0.001754296,0.002189409,0.01023703,0.0004111342,0.003085571,0.003822658,0.003046165,0.06167323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338494,"about_ca_system_score_gemma":0.002605637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003774176,"about_ca_topic_score_gemma":0.006074973,"domain_scores_codex":[0.9989465,0.0001888478,0.00009585194,0.0002728433,0.0003286016,0.0001674734],"domain_scores_gemma":[0.9992148,0.0001782285,0.00008080912,0.0002205991,0.0001332082,0.0001724045],"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":[0.002508565,0.0002438516,0.001317894,0.00759568,0.0003742774,0.0008351603,0.0004494113,0.002630533,0.08373565,0.01403076,0.8120164,0.07426172],"study_design_scores_gemma":[0.000417174,0.0001135752,0.005451656,0.0005742999,0.0001837175,0.0005549138,0.00008950108,0.002498496,0.01375884,0.008254235,0.9679314,0.0001721126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004641091,0.003260533,0.03301517,0.0002676266,0.0002553404,0.0002913396,0.8761112,0.05876667,0.02339106],"genre_scores_gemma":[0.005513764,0.001518353,0.0457378,0.0001484855,0.00003402649,0.0004140754,0.9359239,0.007501294,0.003208235],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08657202,"threshold_uncertainty_score":0.2896122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09219935883337073,"score_gpt":0.3321387922262263,"score_spread":0.2399394333928556,"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."}}