{"id":"W2562077745","doi":"10.1016/j.cpb.2016.12.005","title":"Gramene database: Navigating plant comparative genomics resources","year":2016,"lang":"en","type":"article","venue":"Current Plant Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"National Institute of General Medical Sciences; National Human Genome Research Institute; Guangxi Academy of Sciences","keywords":"Genomics; Annotation; Comparative genomics; Biology; Genome; Exploit; Computational biology; Resource (disambiguation); Phylogenetic tree; Biological database; Data science; Computer science; Bioinformatics; Genetics; 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":[0.001611094,0.00229237,0.002358573,0.006126084,0.001698354,0.002197877,0.003547446,0.0009979127,0.02613579],"category_scores_gemma":[0.002072023,0.001110703,0.001020255,0.00734535,0.000323055,0.002330341,0.003179478,0.001813835,0.01678005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008593402,"about_ca_system_score_gemma":0.001541618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002673764,"about_ca_topic_score_gemma":0.003976626,"domain_scores_codex":[0.9993107,0.0001567069,0.00009345046,0.0002031132,0.0001548893,0.00008114881],"domain_scores_gemma":[0.9995449,0.0001384225,0.00006628144,0.00008799576,0.00007601902,0.00008635238],"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":[0.004313638,0.0004303255,0.003525435,0.01007788,0.0006585527,0.001362865,0.001260195,0.004399059,0.1396205,0.02788977,0.6679511,0.1385107],"study_design_scores_gemma":[0.0004819471,0.0001585389,0.006308237,0.0007565056,0.0002757404,0.0008042389,0.0002843349,0.007509028,0.02256653,0.01501828,0.9456179,0.0002187805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0173063,0.006463649,0.0908674,0.0003269144,0.0002302186,0.0005536022,0.7873552,0.07129287,0.02560386],"genre_scores_gemma":[0.01530657,0.002256964,0.1195144,0.0001930107,0.00004181616,0.0009213898,0.8533866,0.005874972,0.002504239],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02613579,"threshold_uncertainty_score":0.08743286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0477484651633392,"score_gpt":0.3047037742556492,"score_spread":0.25695530909231,"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."}}