{"id":"W4388409560","doi":"10.1093/pcp/pcad134","title":"MiRiQ Database: A Platform for In Silico Rice Mutant Screening","year":2023,"lang":"en","type":"article","venue":"Plant and Cell Physiology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Research Organization of Information and Systems","keywords":"Indel; Mutant; Database; In silico; Genome; Genetics; Gene; Biology; Oryza sativa; dbSNP; Mutation; Genome browser; Computational biology; Genomics; Single-nucleotide polymorphism; 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":[0.004270207,0.004378878,0.005239642,0.003763218,0.000907251,0.00240995,0.006366568,0.001997643,0.01620886],"category_scores_gemma":[0.003266131,0.002528286,0.002385765,0.002430727,0.0004032333,0.001872299,0.002797832,0.002431031,0.01934966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005818914,"about_ca_system_score_gemma":0.00176721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009304464,"about_ca_topic_score_gemma":0.001122603,"domain_scores_codex":[0.9985442,0.0002988315,0.0002818179,0.0003366447,0.0003996828,0.00013869],"domain_scores_gemma":[0.9989003,0.0004137115,0.0001781544,0.0002036087,0.0001709984,0.0001332413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008428753,0.001275514,0.00728616,0.01450799,0.002958047,0.003180919,0.0009112817,0.01533016,0.2535345,0.01155378,0.5534752,0.1275577],"study_design_scores_gemma":[0.003722447,0.001277607,0.01134928,0.0008615485,0.001501116,0.002766695,0.0003372798,0.141988,0.1675313,0.01662719,0.6511244,0.0009130429],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.01921989,0.002598887,0.2994354,0.0003904573,0.0004458484,0.001163517,0.2890133,0.381279,0.006453717],"genre_scores_gemma":[0.03149984,0.001594395,0.371799,0.0003741176,0.00007832144,0.003143726,0.5539192,0.03428922,0.003302238],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01620886,"threshold_uncertainty_score":0.05422401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234532121469235,"score_gpt":0.2364539523445111,"score_spread":0.2141086311298187,"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."}}