{"id":"W2356653686","doi":"","title":"Breeding and Its Characters of a New Cabbage Variety-Qiangan No.3","year":2007,"lang":"en","type":"article","venue":"Seed","topic":"Garlic and Onion Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); New Variety; Biology; Horticulture; Mathematics; Statistics; Cultivar","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":[0.00014123,0.00005470353,0.00009400497,0.000004904942,0.00007316032,0.000009437467,0.00005115242,0.00003508915,0.00003477926],"category_scores_gemma":[0.0000286939,0.0000196151,0.00002681667,0.00009612468,0.0000221044,0.00004404828,0.00003847669,0.00003784377,0.00001832942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003952558,"about_ca_system_score_gemma":0.000002199434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002371806,"about_ca_topic_score_gemma":0.000130858,"domain_scores_codex":[0.9995908,0.000005390158,0.00009450969,0.00009688008,0.00007888221,0.0001335958],"domain_scores_gemma":[0.9997909,0.00005266115,0.00004113022,0.0000128035,0.00003669425,0.00006581978],"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":[0.00003076472,0.00002025554,0.04627819,0.000007268993,0.00001403617,0.00000405703,0.000996158,3.017868e-8,0.9342125,0.0004348133,0.0006019989,0.01739994],"study_design_scores_gemma":[0.00008604614,0.00008617107,0.9848974,0.000009227092,0.000004534864,0.000002780922,0.0005733866,0.000002696054,0.002856648,0.00004297006,0.01138165,0.00005645427],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99615,0.0001906627,0.000002711564,0.0006593696,0.00008589687,0.00005092185,0.000003832629,0.00001989444,0.002836679],"genre_scores_gemma":[0.9964415,0.00004674326,0.00002599719,0.0002034949,0.0001864823,3.80341e-7,0.000003159357,3.014516e-7,0.003091977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9386193,"threshold_uncertainty_score":0.07998805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02814333239520896,"score_gpt":0.2257566269286731,"score_spread":0.1976132945334642,"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."}}