{"id":"W2083303134","doi":"10.1093/nar/gkj012","title":"OryGenesDB: a database for rice reverse genetics","year":2005,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre de Coopération Internationale en Recherche Agronomique pour le Développement; International Development Research Centre","keywords":"Genome browser; Biology; Genome; Insertional mutagenesis; Genomics; Functional genomics; Genetics; Database; Computational biology; Gene; Comparative genomics; Reference genome; Ensembl; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002268826,0.003071006,0.003651975,0.00539664,0.000801191,0.002929756,0.004676098,0.00171725,0.02717181],"category_scores_gemma":[0.002814074,0.001526977,0.001324242,0.004806741,0.0004889258,0.002727337,0.002794859,0.002545957,0.04687297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006441787,"about_ca_system_score_gemma":0.002641656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001918974,"about_ca_topic_score_gemma":0.001678702,"domain_scores_codex":[0.998812,0.0001777554,0.0002932316,0.0002842887,0.0002912786,0.0001415313],"domain_scores_gemma":[0.998834,0.0002706459,0.0002367577,0.0002443844,0.0001974319,0.0002168504],"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":[0.002783676,0.000396968,0.002676556,0.01315388,0.0006690108,0.001085062,0.0006248251,0.002120982,0.1625764,0.01199063,0.6186404,0.1832817],"study_design_scores_gemma":[0.0007196377,0.0002938312,0.004402742,0.0005412418,0.0003283963,0.001394114,0.0001426478,0.004502167,0.03355499,0.008986165,0.9449385,0.0001956313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.006191053,0.007740462,0.166371,0.0004174181,0.0003751759,0.0006733261,0.6419986,0.1642001,0.01203284],"genre_scores_gemma":[0.005859028,0.002730998,0.1016071,0.0002877588,0.00006690677,0.0008600317,0.8757403,0.009198235,0.003649596],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02717181,"threshold_uncertainty_score":0.09089881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09619931702979753,"score_gpt":0.3434388580544716,"score_spread":0.2472395410246741,"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."}}