{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009948231,0.0001114045,0.0001475843,0.00004288541,0.00006913895,0.000005505929,0.00008383104,0.00007458478,0.000002152533],"category_scores_gemma":[0.0000149872,0.0001001702,0.00003518909,0.00006264822,0.00004134461,6.926362e-7,0.0001373096,0.0000447056,0.000004337667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002121684,"about_ca_system_score_gemma":0.00001385371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002980756,"about_ca_topic_score_gemma":0.00005500735,"domain_scores_codex":[0.9992859,0.00001209065,0.0001241971,0.0002862043,0.0000287992,0.0002627572],"domain_scores_gemma":[0.9997343,0.00005061173,0.00003630728,0.0001296984,0.00001347622,0.00003561518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001484003,0.00001796753,0.0006186916,0.00003730891,0.0000196077,0.000002274571,0.00007265543,0.00003881854,0.9969779,0.00005052153,0.001508688,0.0005071284],"study_design_scores_gemma":[0.003641392,0.0009098121,0.1200922,0.00003491916,0.00004774685,0.00002837266,0.001066381,0.003303532,0.6877491,0.00140865,0.1809251,0.0007927371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981265,0.0009877401,0.00006015451,0.00005363494,0.00008661809,0.000167604,0.0002946318,0.000004832267,0.0002182792],"genre_scores_gemma":[0.9972297,0.001346573,0.0002690725,0.0001244823,0.0001270168,0.00005142077,0.0007006402,0.00001136825,0.0001397231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3092288,"threshold_uncertainty_score":0.4084823,"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."}}