{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001936076,0.001346149,0.00110833,0.006008082,0.0009263005,0.001760255,0.002036162,0.000984473,0.01266654],"category_scores_gemma":[0.004337561,0.0004433907,0.0006439424,0.006053077,0.0002979556,0.002230109,0.001995897,0.00114997,0.00547658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008021329,"about_ca_system_score_gemma":0.002295946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006846465,"about_ca_topic_score_gemma":0.006954269,"domain_scores_codex":[0.9989881,0.00009228173,0.000174106,0.0003624743,0.0002940157,0.00008895373],"domain_scores_gemma":[0.9976789,0.0005443495,0.000466625,0.0005723297,0.0003490716,0.0003888056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003157743,0.0005933739,0.03913933,0.004976804,0.0007122252,0.001750765,0.001145689,0.004049271,0.07487039,0.007038051,0.6562169,0.2063494],"study_design_scores_gemma":[0.0004582536,0.0002218585,0.09850703,0.0005457248,0.0003549643,0.001071514,0.0003334527,0.00642317,0.0244002,0.007225051,0.8601952,0.0002634939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01579549,0.000789056,0.009970061,0.0001789765,0.00009141454,0.0001399151,0.9482015,0.02054841,0.004285057],"genre_scores_gemma":[0.014694,0.0002900208,0.01095796,0.00006923815,0.00003082415,0.0001890327,0.9718032,0.001070493,0.0008953663],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01266654,"threshold_uncertainty_score":0.04237384,"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."}}