{"id":"W2389691052","doi":"","title":"Problem and Countermeasure of Chinese Seed Industry","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Countermeasure; Industry of China; Business; Agricultural engineering; Engineering; China; History; Aerospace engineering; Archaeology","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":[0.0001415679,0.00007341142,0.0001083274,0.000007268505,0.00004861592,0.00002456709,0.0001358315,0.0001432797,0.00007460768],"category_scores_gemma":[0.00003927405,0.00002471428,0.00002174649,0.0001982407,0.00005567388,0.00003340871,0.00003586577,0.000172069,0.00000852607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006064965,"about_ca_system_score_gemma":0.00000753556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004888941,"about_ca_topic_score_gemma":0.00004624104,"domain_scores_codex":[0.9993384,0.00003203249,0.0001094536,0.0001475108,0.0002041477,0.000168393],"domain_scores_gemma":[0.9997477,0.00003343675,0.00002734058,0.00003833527,0.00006786794,0.00008531188],"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":[0.00001444142,0.00003643221,0.2170458,0.000003229377,0.00000251612,0.000001259064,0.00005003681,0.000001396356,0.7782126,0.00006380689,0.000008874847,0.004559621],"study_design_scores_gemma":[0.0001060772,0.0002478117,0.9929,0.000007040897,0.000001732103,0.000004387758,0.00004781599,0.00002854954,0.00405845,0.002412828,0.0001241787,0.00006109339],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954036,0.00006677535,0.000001050257,0.001903876,0.00001049779,0.0001288747,0.000008349769,0.00002133373,0.002455642],"genre_scores_gemma":[0.9994074,0.000008733296,0.000104242,0.0001219759,0.00005301384,0.000001409326,0.000005441952,4.011252e-7,0.0002973941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7758542,"threshold_uncertainty_score":0.1105105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157521638953236,"score_gpt":0.2381419814859228,"score_spread":0.2223898175905992,"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."}}