{"id":"W2772931393","doi":"","title":"Use of translational genomics to identify genes important for legume seed development","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicago truncatula; Endosperm; Biology; Gene; Genetics; Synteny; Transcription factor; Phenotype; Genomics; Transcriptome; Genome; Computational biology; Gene expression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006194767,0.0007924323,0.0005812008,0.0007299627,0.0003956114,0.0008087916,0.0005842817,0.0007005442,0.005352123],"category_scores_gemma":[0.0004420937,0.0003804853,0.0009762778,0.0006249117,0.0005633085,0.000381951,0.0007556616,0.00234672,0.002196525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008439328,"about_ca_system_score_gemma":0.0007320546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001890934,"about_ca_topic_score_gemma":0.003118463,"domain_scores_codex":[0.9997563,0.0000311664,0.00001727022,0.00009355455,0.00005411167,0.00004762231],"domain_scores_gemma":[0.9996713,0.0001164072,0.00005561992,0.00004818003,0.00003759404,0.00007084769],"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":[0.0001205592,0.00005851574,0.0002463941,0.00005684671,0.00001070264,0.00008221995,0.00003295022,0.000187109,0.994067,0.0005892682,0.0001728978,0.004375646],"study_design_scores_gemma":[0.0003399486,0.0007290768,0.01556016,0.00003436037,0.0002203601,0.0007188353,0.0002118891,0.006275743,0.9455914,0.002096267,0.02817395,0.00004799597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7990633,0.003008367,0.1631733,0.003556745,0.0007396729,0.0007457949,0.008501081,0.001813477,0.01939826],"genre_scores_gemma":[0.8732742,0.003001851,0.07673,0.001456812,0.0001539043,0.0003455697,0.02282589,0.0009157989,0.02129598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005352123,"threshold_uncertainty_score":0.01790458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03913447169576872,"score_gpt":0.2436198606340846,"score_spread":0.2044853889383159,"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."}}