{"id":"W2095810703","doi":"10.1104/pp.106.077313","title":"Sequencing Multiple and Diverse Rice Varieties. Connecting Whole-Genome Variation with Phenotypes","year":2006,"lang":"en","type":"article","venue":"PLANT PHYSIOLOGY","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University; U.S. Department of Agriculture","keywords":"Variation (astronomy); Biology; Phenotype; Genome; Genetics; Whole genome sequencing; Computational biology; Evolutionary biology; Gene","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":[0.001438081,0.0004124693,0.0006125958,0.001169086,0.0003942096,0.0008056939,0.0004824306,0.0005883584,0.001010562],"category_scores_gemma":[0.0009903824,0.0002944485,0.0008869616,0.001650078,0.0002225888,0.0003826044,0.0008563285,0.0007010789,0.000650739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00036123,"about_ca_system_score_gemma":0.0003497472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002145927,"about_ca_topic_score_gemma":0.007914346,"domain_scores_codex":[0.9992219,0.0001009247,0.00005113951,0.0003879961,0.0001695883,0.00006843406],"domain_scores_gemma":[0.9992676,0.0001377181,0.0001211265,0.0002201826,0.0001530473,0.000100294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002824565,0.0001378041,0.02224667,0.0004138213,0.000485251,0.0002500928,0.00035064,0.001168429,0.8953398,0.0008857931,0.002132961,0.07630628],"study_design_scores_gemma":[0.0002120072,0.0007675262,0.7017762,0.0001339702,0.001724551,0.002268669,0.0009245549,0.006658009,0.1722607,0.006256428,0.1069061,0.0001113227],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8734552,0.004558911,0.06737142,0.0007562423,0.0006159644,0.000475724,0.04088962,0.0009355719,0.01094139],"genre_scores_gemma":[0.7091401,0.003217057,0.1712331,0.001827815,0.0002260875,0.0004853367,0.1028994,0.0007227318,0.01024836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002145927,"threshold_uncertainty_score":0.007605374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109060741009165,"score_gpt":0.1857786704083848,"score_spread":0.1746880629982931,"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."}}