{"id":"W4291311667","doi":"","title":"Quantification of anticoagulant drug substance of Dabigatran Etexilate by a validated Ultra performance liquid chromatographic method with detailed force degradation study","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Analytical Methods in Pharmaceuticals","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"","keywords":"Dabigatran; Chromatography; Drug; Degradation (telecommunications); Anticoagulant; Chemistry; Warfarin; Medicine; Pharmacology; Internal medicine; Computer science; Atrial fibrillation","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01071005,0.0005359059,0.001047044,0.0002444206,0.0001633819,0.0001034663,0.001555384,0.0003325531,0.0001110342],"category_scores_gemma":[0.00102623,0.0005034081,0.0002258751,0.0008743337,0.0005560371,0.0001967773,0.000302197,0.0008914655,0.00000387373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001127057,"about_ca_system_score_gemma":0.0003054723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003224312,"about_ca_topic_score_gemma":0.0002023621,"domain_scores_codex":[0.9909387,0.005061551,0.001466539,0.001073689,0.001027209,0.0004323743],"domain_scores_gemma":[0.9893976,0.002067911,0.001799987,0.002736215,0.003734713,0.000263618],"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":[0.0005124082,0.002853473,0.02251603,0.002267889,0.0007453409,0.00000414945,0.008715367,0.0005451635,0.9535342,0.002883417,0.00009276329,0.005329777],"study_design_scores_gemma":[0.001142801,0.000003912059,0.0005521564,0.002217863,0.0004741212,0.000008129462,0.0004434282,0.04085573,0.9532975,0.0004488853,0.00007743693,0.0004780253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.755576,0.0005796107,0.2392841,0.0002841213,0.00004168692,0.0005893069,0.0001505389,0.0001420824,0.003352552],"genre_scores_gemma":[0.9146236,0.0005033024,0.08309672,0.000008559191,0.000008064343,0.00009408177,0.0006090995,0.00007826559,0.0009783169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1590476,"threshold_uncertainty_score":0.9997417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04106516580526227,"score_gpt":0.3153942061321778,"score_spread":0.2743290403269156,"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."}}