{"id":"W2364387640","doi":"","title":"Purity Identification of Chinese Cabbage Cultivar YoulueNo.3 Using SSR Marker","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Garlic and Onion Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hybrid; Primer (cosmetics); Cultivar; Biology; Horticulture; Identification (biology); Botany; Chemistry","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":[0.0003718504,0.0003232349,0.0003204785,0.001155246,0.0004689184,0.0004880125,0.0001780846,0.0002964055,0.0007385865],"category_scores_gemma":[0.0004060125,0.0002685871,0.0003074536,0.0004368169,0.0002159144,0.0002370596,0.0002764076,0.0002870078,0.0003582891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000269093,"about_ca_system_score_gemma":0.0002068198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001773646,"about_ca_topic_score_gemma":0.00477802,"domain_scores_codex":[0.9997148,0.00003071145,0.00004000699,0.00009842192,0.00007972929,0.00003630556],"domain_scores_gemma":[0.9996089,0.00008151476,0.0001033061,0.00005110451,0.0001044212,0.00005080348],"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":[0.0001045314,0.00001130897,0.005689307,0.00003773989,0.00001065268,0.0001312658,0.0001679314,0.00002858919,0.9896464,0.00004591358,0.00001723574,0.004109194],"study_design_scores_gemma":[0.00002262366,0.0003264597,0.3056196,0.00002129028,0.0002002523,0.00271472,0.0005339797,0.0008838976,0.6846213,0.0001693869,0.004834516,0.00005188751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943269,0.0004436672,0.003847266,0.00002734247,0.000008472072,0.00001654242,0.0002062974,0.00007066652,0.00105297],"genre_scores_gemma":[0.9873962,0.0003790125,0.008108655,0.00004013264,0.000007352088,0.00002824139,0.001597309,0.00008175783,0.002361486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001773646,"threshold_uncertainty_score":0.003526688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04606259114799437,"score_gpt":0.2517394789390062,"score_spread":0.2056768877910118,"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."}}