{"id":"W2388267448","doi":"","title":"Impact of Aqueous Extract of Red Beet Hemorrhagic Anemia in Mice","year":2015,"lang":"en","type":"article","venue":"Shipin yanjiu yu kaifa","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Hemoglobin; Red blood cell; Anemia; Distilled water; Chemistry; Medicine; Aqueous extract; Animal science; Pharmacology; Internal medicine; Traditional medicine; Biology; Chromatography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001358354,0.0004751943,0.0004439618,0.0005855297,0.0002090325,0.0002203791,0.0001438526,0.0003144509,0.001449411],"category_scores_gemma":[0.00008932447,0.0001585072,0.0003176099,0.0002057979,0.0001832617,0.0002883023,0.0001621902,0.0007118203,0.0001724222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000155409,"about_ca_system_score_gemma":0.0002293193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008447623,"about_ca_topic_score_gemma":0.001419487,"domain_scores_codex":[0.9999087,0.00001480657,0.00000705456,0.00001614415,0.00002628722,0.00002700885],"domain_scores_gemma":[0.9999251,0.000005531953,0.00002069202,0.000005385049,0.00001003354,0.00003322313],"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":[0.004055499,0.001973107,0.001107631,0.0002605123,0.00005070971,0.0002002734,0.00006535893,0.0001757276,0.9817557,0.000187457,0.0003960699,0.009771902],"study_design_scores_gemma":[0.0005259363,0.02600788,0.02250723,0.00008207051,0.0003070191,0.0005111388,0.0001990924,0.001804764,0.9410868,0.0003042568,0.006630749,0.00003297837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914308,0.004431468,0.00107185,0.0002744794,0.00008995934,0.0000717403,0.0004135399,0.000119541,0.002096633],"genre_scores_gemma":[0.9904813,0.003392112,0.001170982,0.0001948896,0.0000302105,0.00008094624,0.0005093899,0.00001488059,0.004125325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001449411,"threshold_uncertainty_score":0.004848719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03064122995364724,"score_gpt":0.3158974268236445,"score_spread":0.2852561968699972,"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."}}