{"id":"W4310480951","doi":"10.1038/s41597-022-01842-0","title":"HeliantHOME, a public and centralized database of phenotypic sunflower data","year":2022,"lang":"en","type":"article","venue":"Scientific Data","topic":"Sunflower and Safflower Cultivation","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Leibniz-Rechenzentrum; Leibniz-Gemeinschaft; Bayerische Akademie der Wissenschaften; Genome British Columbia; Technische Universität München; Genome Canada; National Science Foundation","keywords":"Domestication; Biology; Genomics; Adaptation (eye); Helianthus annuus; Sunflower; Helianthus; Population; Ranking (information retrieval); Biotechnology; Genome; Genetics; Computer science; Information retrieval; Gene; Agronomy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002051197,0.0001150837,0.0001615755,0.0000400818,0.0007086318,0.0002465606,0.002894319,0.0000244197,0.003459023],"category_scores_gemma":[0.0003350677,0.00005290406,0.00002161394,0.001057269,0.0002425298,0.001031144,0.005668676,0.0001267247,0.00001571766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001335459,"about_ca_system_score_gemma":0.00003840803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000198482,"about_ca_topic_score_gemma":0.0005558121,"domain_scores_codex":[0.9976759,0.0001532155,0.000282202,0.001000569,0.0005716938,0.0003164015],"domain_scores_gemma":[0.9983268,0.0001211734,0.0001120783,0.001250938,0.00006616898,0.000122876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000139316,0.0009126268,0.01597743,0.00004664256,0.00006219425,0.00001586089,0.000336042,0.000002713719,0.4673564,0.001305251,0.3513813,0.1624642],"study_design_scores_gemma":[0.0004101686,0.00006045064,0.02381251,0.00001367615,0.00002818705,0.00001212099,0.001123493,0.003152461,0.0005840344,0.0002239605,0.9703202,0.0002587461],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9205437,0.0009200328,0.00004420261,0.002165042,0.001705455,0.0003546363,0.07380608,0.0000750615,0.0003857569],"genre_scores_gemma":[0.9092625,0.00003433042,0.0004856166,0.0001093903,0.00008129991,0.000008748575,0.08929563,0.000001561148,0.0007208617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6189389,"threshold_uncertainty_score":0.997452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1199364605218563,"score_gpt":0.2742790357387297,"score_spread":0.1543425752168734,"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."}}