{"id":"W2972024183","doi":"10.33380/2305-2066-2019-8-3-79-84","title":"Development and Validation of HPLC-MS/MS Method for Busereline Quantitation in Animal Blood Plasma","year":2019,"lang":"en","type":"article","venue":"Drug development & registration","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Public Health Association","funders":"","keywords":"Protein precipitation; Chromatography; High-performance liquid chromatography; Chemistry; Sample preparation; Pharmacokinetics; Extraction (chemistry); Pharmacology; Medicine","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":[0.001848349,0.0009669754,0.0006370756,0.001147657,0.0005529551,0.0005604139,0.000581203,0.001477088,0.001381619],"category_scores_gemma":[0.001992417,0.0004406279,0.0006565927,0.0005601816,0.0005909131,0.000490874,0.0003556318,0.0008673444,0.001199027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006030136,"about_ca_system_score_gemma":0.001180777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001211678,"about_ca_topic_score_gemma":0.002044576,"domain_scores_codex":[0.9979401,0.0003931624,0.0001136694,0.000588923,0.0008518994,0.0001122835],"domain_scores_gemma":[0.9991467,0.0001696572,0.0001955505,0.00005365702,0.0003815188,0.0000529477],"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":[0.0003723129,0.0001089532,0.003088032,0.0004954313,0.0001072267,0.0001940601,0.00009460487,0.0003802402,0.9754878,0.0002363711,0.0005961132,0.01883883],"study_design_scores_gemma":[0.00007078677,0.001922373,0.01246274,0.0001385393,0.0002140227,0.001764884,0.00008378389,0.005285247,0.9596761,0.0002999264,0.01798925,0.00009214795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5137901,0.0267156,0.4366667,0.001141536,0.0009910531,0.002314985,0.005480208,0.003737227,0.009162544],"genre_scores_gemma":[0.5719846,0.01571333,0.3878748,0.002632699,0.0003277746,0.003881996,0.005155009,0.0003519624,0.01207784],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001848349,"threshold_uncertainty_score":0.009775162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03168130250184206,"score_gpt":0.3088721256624127,"score_spread":0.2771908231605706,"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."}}