{"id":"W929173297","doi":"","title":"禽流感病毒A／Turkey／Canada／63毒株HA和NA基因的克隆及序列分析","year":2006,"lang":"zh","type":"article","venue":"中国兽医科学","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000465253,0.0006881315,0.0004880762,0.0007781598,0.0025002,0.001490327,0.0007016546,0.0006993915,0.006984395],"category_scores_gemma":[0.000431628,0.0003866546,0.0007469385,0.001048265,0.0009030436,0.00078939,0.0005015107,0.00124683,0.00342924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007058537,"about_ca_system_score_gemma":0.009982859,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3492481,"about_ca_topic_score_gemma":0.3108751,"domain_scores_codex":[0.9990805,0.00006212786,0.00004910323,0.0002012825,0.0003970843,0.0002098852],"domain_scores_gemma":[0.999642,0.00002724453,0.00002163061,0.00001519223,0.0002423337,0.00005146598],"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":[0.001003043,0.0002017573,0.0220666,0.0008707877,0.0001408621,0.001048819,0.002021395,0.002642299,0.7594064,0.0220858,0.02806377,0.1604485],"study_design_scores_gemma":[0.0001170466,0.0004762457,0.05353771,0.0001942525,0.0002290373,0.00124265,0.005406869,0.006116747,0.4659767,0.003934093,0.4625485,0.0002201486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5775815,0.006604228,0.06230461,0.00300866,0.001266294,0.001526785,0.01263894,0.002625004,0.332444],"genre_scores_gemma":[0.6093636,0.004536849,0.1355863,0.001502764,0.00009733877,0.0008021281,0.02043689,0.0004550026,0.2272192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6507519,"threshold_uncertainty_score":0.6944305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01724353682244238,"score_gpt":0.1988053426632947,"score_spread":0.1815618058408524,"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."}}