{"id":"W123555904","doi":"","title":"国外最新科研成果：鸡蛋、鸡肉降血压","year":2009,"lang":"zh","type":"article","venue":"中国牧业通讯","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer 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":[0.002743768,0.0004028541,0.0003285908,0.001719092,0.003713577,0.008182889,0.0008425918,0.001531435,0.01055049],"category_scores_gemma":[0.004912249,0.0003196997,0.0003394288,0.00181772,0.01071885,0.008721845,0.001277546,0.00208347,0.001111877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006703263,"about_ca_system_score_gemma":0.007161734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01094919,"about_ca_topic_score_gemma":0.008366521,"domain_scores_codex":[0.99844,0.0005246159,0.00007073087,0.0002939535,0.0005066604,0.000164077],"domain_scores_gemma":[0.9974635,0.001340741,0.0002405876,0.0001223412,0.0006271086,0.000205822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000007621495,0.00001680447,0.0005774369,0.00004259336,0.0000102836,0.00003557133,0.004881913,0.0004688781,0.0001326154,0.9814332,0.001834719,0.01055831],"study_design_scores_gemma":[0.0000160279,0.00002556271,0.001737767,0.0001048726,0.00002719017,0.00006919728,0.01550222,0.001055935,0.000655087,0.9210951,0.059685,0.00002610456],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0770876,0.003378846,0.02966799,0.03266284,0.0004392949,0.0001209627,0.0001930633,0.0001045989,0.8563448],"genre_scores_gemma":[0.9515063,0.001549713,0.01006204,0.001274811,0.0001718754,0.0001193376,0.00004799774,0.00002629507,0.0352418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01094919,"threshold_uncertainty_score":0.04863578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007519065384988358,"score_gpt":0.2035743863247992,"score_spread":0.1960553209398108,"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."}}