{"id":"W2591249893","doi":"10.17660/actahortic.2015.1097.34","title":"REGISTRATION OF CULTIVAR NAMES","year":2015,"lang":"en","type":"article","venue":"Acta Horticulturae","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Cultivar; Biology; Linguistics; Natural language processing; Geography; Botany; Computer science; Philosophy","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":[0.00008446623,0.00006556142,0.0001036649,5.283886e-7,0.00007171295,0.0000173218,0.0001198812,0.00004241116,0.00005009823],"category_scores_gemma":[0.00009732089,0.00001999619,0.00004878438,0.0001683093,0.00004982247,0.00007220393,0.00003730509,0.00004211233,0.00001862928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001345915,"about_ca_system_score_gemma":0.000001916521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003819688,"about_ca_topic_score_gemma":0.0005791444,"domain_scores_codex":[0.9994102,0.00001611364,0.0001803549,0.0001283452,0.0001520855,0.0001128797],"domain_scores_gemma":[0.9996152,0.00004765268,0.00009077505,0.00004184789,0.0001216949,0.00008284506],"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":[0.00003948761,0.0003618978,0.00992562,0.000006940484,0.00005474906,0.00000147806,0.0004589775,0.000005661049,0.7845189,0.003867396,0.05137688,0.149382],"study_design_scores_gemma":[0.0002060135,0.0003230228,0.433993,0.00001570207,0.00003196932,0.000006319622,0.002973673,0.00005061722,0.01284003,0.000868349,0.5484446,0.0002466201],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904794,0.0001053564,0.000002319347,0.005258637,0.00003239757,0.0001100434,0.00001246537,0.00003508495,0.003964329],"genre_scores_gemma":[0.9993626,0.00003637863,0.0001198849,0.00008145882,0.0001067056,0.00001467446,0.00002458104,2.973789e-7,0.0002533523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7716789,"threshold_uncertainty_score":0.08154212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04688138045859043,"score_gpt":0.2459886050966943,"score_spread":0.1991072246381039,"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."}}