{"id":"W2383784384","doi":"","title":"Study of Plus Trees Selection and Clonal Test to Chinese Chestnut","year":2007,"lang":"en","type":"article","venue":"Seed","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); clone (Java method); Weighting; Mathematics; Tree (set theory); Transformation (genetics); Botany; Biology; Statistics; Horticulture; Forestry; Combinatorics; Computer science; Geography; Artificial intelligence; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005594485,0.0001691504,0.0001521663,0.000464796,0.0003414337,0.0002120287,0.0002929223,0.0001621784,0.0007016594],"category_scores_gemma":[0.0007078443,0.00006604522,0.0001350566,0.0002458847,0.0002357932,0.0001506448,0.0002102715,0.0001649047,0.0001014352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003220095,"about_ca_system_score_gemma":0.000259223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006298763,"about_ca_topic_score_gemma":0.01024977,"domain_scores_codex":[0.9996786,0.00005240911,0.00001367807,0.00008732548,0.0001205213,0.00004745306],"domain_scores_gemma":[0.999548,0.00009893395,0.00005675343,0.00003224133,0.0001586424,0.0001054296],"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":[0.0004001389,0.0003824918,0.433376,0.00007838333,0.00003821946,0.001150016,0.001200043,0.0005537684,0.5259835,0.0005184457,0.0001676767,0.03615115],"study_design_scores_gemma":[0.00002721915,0.001873776,0.9118481,0.00001284227,0.00007118803,0.001088015,0.0008953069,0.004480171,0.07763608,0.0001943727,0.001854878,0.00001807724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990532,0.00004301092,0.0003801575,0.000006084877,0.000002700509,0.00001665793,0.00001335504,0.000004866736,0.0004800048],"genre_scores_gemma":[0.9983451,0.00006000427,0.0006269055,0.00002064891,0.00000367719,0.00001037151,0.00006991425,0.000002508513,0.0008608344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006298763,"threshold_uncertainty_score":0.01252419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02882828372562077,"score_gpt":0.2991449653419845,"score_spread":0.2703166816163638,"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."}}