{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002188116,0.00009429215,0.0001367229,0.00001222062,0.0001260915,0.00002867598,0.00009169107,0.00004052887,0.00003563251],"category_scores_gemma":[0.000147816,0.00002668055,0.0000278122,0.0004918964,0.00002204715,0.00007210141,0.00005817442,0.00007852055,0.00001373769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002093966,"about_ca_system_score_gemma":0.000003299292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009360533,"about_ca_topic_score_gemma":0.01598408,"domain_scores_codex":[0.9991698,0.00002263127,0.0001627204,0.0001847426,0.0002375557,0.0002226058],"domain_scores_gemma":[0.9995026,0.0001955671,0.00002983304,0.00002058764,0.0001053797,0.0001460213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005335731,0.0001643971,0.3467883,0.000002565333,0.000006212198,0.000002375256,0.000468258,0.000003283217,0.6438558,0.000005671624,0.00003062726,0.008619061],"study_design_scores_gemma":[0.0001824539,0.001354394,0.9907931,0.000005871712,0.000004319791,0.000007299195,0.002180954,0.00002359342,0.005083982,0.00001653879,0.0002636231,0.00008388412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987082,0.00001801555,4.561594e-7,0.0006343701,0.00002185388,0.0002999669,0.00000518473,0.00002816463,0.0002838021],"genre_scores_gemma":[0.9990987,0.000004621586,0.00002936511,0.00004713942,0.0001633393,0.000006911119,0.000007423936,4.448595e-7,0.0006420526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6440048,"threshold_uncertainty_score":0.8919491,"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."}}