{"id":"W824792385","doi":"","title":"FOX Hunting System——一种新的功能基因筛选技术","year":2010,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","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":[0.0004354485,0.0001188022,0.0001244868,0.0007014317,0.0008983317,0.001422511,0.0002011764,0.000294212,0.002082255],"category_scores_gemma":[0.0003287265,0.0001317414,0.0001944118,0.000563994,0.001210219,0.001046114,0.0002552404,0.0003986398,0.0002976061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002181852,"about_ca_system_score_gemma":0.001594162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02298533,"about_ca_topic_score_gemma":0.02016518,"domain_scores_codex":[0.999843,0.00002175023,0.000007887815,0.00005603888,0.00003673337,0.00003455358],"domain_scores_gemma":[0.9997911,0.00004265412,0.00003635813,0.00000931145,0.00007309215,0.00004761107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006186565,0.0001841749,0.2797877,0.0003572619,0.0002399953,0.0008622734,0.00983251,0.001860462,0.2163189,0.2391032,0.01520133,0.2356335],"study_design_scores_gemma":[0.00006709799,0.0003041001,0.7181533,0.0001229359,0.00019926,0.001292019,0.006618569,0.003519292,0.06414411,0.04998176,0.1554783,0.0001192343],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.896234,0.007445297,0.01445952,0.005190861,0.0003145645,0.00008560157,0.001038577,0.0001180788,0.07511344],"genre_scores_gemma":[0.9546316,0.002076501,0.00653236,0.0005986778,0.00009866344,0.00005448292,0.0007270575,0.00002040716,0.03526023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02298533,"threshold_uncertainty_score":0.04570311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00849189148385392,"score_gpt":0.2493454096745638,"score_spread":0.2408535181907099,"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."}}